Wednesday, July 31, 2024

8 free tools for PPC reporting

8 free tools for PPC reporting

Reporting is a crucial part of paid media management for communicating results to stakeholders and informing optimization decisions.

While there are a number of well-made third-party reporting tools, many are pricy and inaccessible to all PPC managers, either due to budget concerns or complex approval processes.

Additionally, various tools have different benefits, with some better suited to spreadsheet-nerd analysis and others for visually friendly reporting.

This article looks at eight free options you can use for PPC reporting. 

1. Looker Studio

Looker Studio (formerly known as Google Data Studio) is a full-scale tool for building interactive reports that can be viewed in a browser or downloaded as a PDF.

As Google owns this platform, it integrates by default with most other Google-owned properties, such as Google Analytics, Google Ads, Search Ads 360 and Display and Video 360. 

For other platforms, you can export data to Google Sheets and sync it to a report. Several paid third-party tools also allow you to sync directly to a wider range of data sources.

You can create charts, graphs, tables and text boxes or include dropdowns and other elements to allow users to filter data how they’d like. 

Advanced users can blend multiple data sources together, such as combining Google Ads data and CRM data or reporting across multiple accounts.

For those just starting out, ready-made templates are free directly from Google and third-party providers to provide a basic reporting structure.

Dig deeper: 3 steps for effective PPC reporting and analysis

2. Google Ads/Google Sheets add-on

With this free add-on developed by Google, you can generate ad reports and then import them into a Google Sheet.

You can customize which columns to show and filter data (such as to show select campaigns or only those with recent impressions). 

The tool also allows you to set schedules for refreshing data at regular cadences.

This setup could be useful when sharing with individuals who want to see data in a spreadsheet format or for providing easily exported data tables that you can manipulate for other reporting.

3. Google Ads reports and dashboards

The Report Editor within Google Ads allows you to build reports with the precise metrics you’d like to see and save them for future use. You can effectively make a pivot table populated with the metrics and dimensions you want to include. 

In addition, several ready-made templates can help you quickly view performance by ad group, keyword, audience, content or other dimensions.

One handy tip is that you can include custom columns you’ve created, such as for seeing totals and CPA for individual conversion actions. 

Additionally, you can create dashboards containing data from multiple reports, scorecards for top-level metrics and notes for commentary. One recent use where I’ve found a dashboard helpful was tracking specific ad tests I’m running.

Dig deeper: How to approach weekly, monthly, quarterly and annual PPC reporting

4. Microsoft Advertising reports

Microsoft also contains its own robust reporting section, where you can view premade reports or build your own.

In addition to showing standard campaign data, a few practical uses for these reports include:

  • Publisher reporting to see a breakdown of performance by website URL, which can’t be viewed in the main interface.
  • Negative keyword conflicts to remove negatives that may inadvertently be blocking keywords you want to bid on.
  • Ad extension reporting at keyword or ad level.
  • User location reporting to view actual geography of individuals as opposed to targeted geography.
  • Label reporting (useful for reviewing tests where ad variants may be labeled separately).

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5. Meta Ads reporting

On the social advertising front, Meta has a built-in reporting section, which can be found under the Ads Reporting section of the menu.

Options include a pivot table feature and the ability to build line and bar charts. 

You can save pre-built reports with the specific dimensions, metrics and filters you’d like to include. You can also break down data in various ways, such as by campaign name, device, placement and more.

6. Google Ads Editor

While this may not necessarily be your first thought for reporting, you can see performance data in Google Ads Editor.

When you first open it, you’ll see a graph and selectors for top-level metrics, with the ability to choose a timeframe. 

You can also pull data into the editing section via the View Statistics button in the top bar. Choose individual metrics, which you can then populate in a table within the Editor interface. 

Additionally, you can view a search term report or see the performance of individual search, display, app, or Demand Gen assets (including images and text).

These features could be useful as an alternative to the web UI for downloading data in spreadsheet format.

7. Microsoft Advertising Editor

Similarly to Google, you can also include metrics when downloading data into Microsoft Advertising Editor. 

Use the View Statistics button in the top bar and select the timeframe you’d like to see. You can also view the data directly in the interface or export it to manipulate in Excel or another program.

8. Google Analytics

A properly configured Google Analytics implementation is crucial for any PPC manager’s analysis. You’ll need to make sure website traffic from your ad platforms is being tracked properly (such as by connecting Google Ads and using proper UTM parameters across platforms). 

Reports built in GA4 can help show the performance of ad traffic tied together with website behavior metrics. 

If you’ve linked your Google Ads account and have auto-tagging turned on, you can view Google Ads data together with key events (events that you’ve marked as priority for your business, such as form completes, sales, etc.) under the Advertising section. 

Explorations offer a good starting point for building customized reports that can be segmented to include only specific traffic, such as that from paid channels, along with select dimensions and metrics.

For instance, you can create a funnel report showing how much ad traffic is getting to each step of the purchase process.

An added value of Google Analytics for PPC reporting is the ability to see how ads work together with other channels such as organic search, social, referrals and direct traffic in the conversion process. 

The Attribution section lets you see users’ paths across multiple combinations of channels and compare last clicks to data-driven models.

Dig deeper: How to combine GA4 and Google Ads for powerful paid search results

Start reporting

Even if you don’t have the budget for pricier reporting tools, there are many free options available.

If you haven’t tested some of the options reviewed in this article, take the time to check them out, play with features and see what reporting configurations may work for your needs.



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Tuesday, July 30, 2024

Perplexity launches ad revenue sharing program for publishers

Perplexity, the AI-powered search startup, is rolling out a new “Publishers’ Program” to share ad revenue with media partners, amid recent plagiarism controversies.

This move signals a shift in how AI companies are approaching content partnerships, potentially setting a new standard for compensating publishers whose work is used to train and power AI systems.

Details:

  • Publishers will receive a “double-digit percentage” of ad revenue when their content is featured in search results.
  • Initial partners include Time, Der Spiegel and Fortune.
  • The program includes free access to Perplexity’s Enterprise Pro tier and developer tools.

Why we care. As Perplexity grows, it could become a significant new channel for digital advertising, offering alternatives to dominant players like Google. Their AI-powered search could evolve into new ad formats or targeting capabilities that aren’t possible with traditional search advertising.

The big picture. AI-powered search is more expensive than traditional search, pushing companies like Perplexity to quickly develop sustainable business models.

Between the lines. This initiative comes after recent accusations of plagiarism against Perplexity, including incidents involving Forbes and Wired.

However, unlike content licensing deals from companies like OpenAI and Google, Perplexity claims it doesn’t need to license content as it’s not training its language model on publishers’ writing.

What they’re saying:

  • “It’s a much better revenue split than Google, which is zero,” says Automattic CEO Matt Mullenweg.
  • Perplexity’s CBO Dmitry Shevelenko acknowledges the program may impact profit margins but sees it as necessary for long-term success.
  • Perplexity intends for advertising to be its main source of revenue, Shevelenko said, adding his goal is to break the search engine model, which historically has not provided media partners with a revenue share model

What to watch. How this program compares to similar initiatives from competitors like OpenAI and whether it will satisfy publishers’ concerns about AI using copyrighted content.



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Google enhances ad creation with AI and transparency tools

Google is rolling out new features to boost creative results and transparency in its advertising platforms, particularly for Performance Max campaigns.

Why it matters. These updates aim to help advertisers create more effective ads, understand their performance better, and ensure brand safety across Google’s ad network.

Key updates:

  • New reporting tools:
    • Conversion metrics in asset-level reporting.
    • YouTube video placement reporting.
    • Third-party verification for brand suitability on YouTube and Display.
  • Enhanced AI-powered creative tools:
    • Expanded image editing capabilities, including object removal and addition.
    • Improved asset generation for multiple campaign types.
    • Easier access to creative tools from the “Create” menu.
  • New partnership:
    • Integration with Typeface for seamless asset creation and implementation.

Between the lines. Google continues with its move to leverage AI to help advertisers create more diverse and high-quality assets while providing more transparency into ad performance and placement.

What to watch. The rollout of these features across different campaign types and languages, and their impact on ad performance and advertiser adoption.

The big picture. As digital advertising becomes increasingly complex, Google is positioning itself as a one-stop shop for advertisers, offering both creative tools and performance insights.



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Monday, July 29, 2024

Pinterest explores publisher partnerships to boost ad sales

Pinterest is testing a new program that could reshape advertising strategy, leveraging the relationships and expertise of news outlets and other publishers.

Why we care. This move creates a new offering for advertisers of potentially more targeted and effective ad placements.

Details:

  • Pinterest is exploring an ad auction system on its pages, with revenue sharing for publishers.
  • The company aims to tap into publishers’ existing advertiser relationships.
  • Publishers could gain access to larger deals and a wider advertiser base.

Zoom out. Other social platforms are making similar moves:

  • LinkedIn’s Wire Program. which allows publishers to sell ads on distributed videos, is in beta testing.

Between the lines. These initiatives reflect a broader trend of social media platforms diversifying their revenue streams and enhancing their value propositions to advertisers.

What to watch. The success of these programs could influence future collaborations between social media platforms and traditional publishers.



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Google Discover promoting AI Overviews for Olympic Games in Paris

Google is now promoting its AI Overviews directly in Google Discover. As users scroll through the Google home page, they may see a sample of a question that Google thinks its AI Overviews in Google Search can do a nice job of answering.

What it looks like. Here is a screenshot of my Google Discover feed showing a promotion for AI Overviews. In this case, Google is promoting Olympics swimming by asking the question, “Why aren’t full-body swimsuits allowed on race day?”

Here is a screenshot:

When you click “See AI Overview,” you are taken into Google Search, and Google will then show you the AI Overview at the top of the search results page.

I covered examples of fencing earlier today, here are some of those examples:

Olympics partnership. This is likely part of the Google partnership with the Paris Olympics, where Google announced that you can “learn more about the Games with Gemini.”

Why we care. It is interesting to see Google pushing AI Overviews, maybe to get more users more accustomed to them. It is clear, AI Overviews are here to stay and will be a big part of Google Search for the foreseeable future.



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Google streamlines ad creation with Merchant Center-Ads integration

Google Ads

Google is rolling out a new feature that bridges the gap between Google Merchant Center and Google Ads, enhancing the ad creation process for e-commerce businesses.

Why we care. This integration allows advertisers to leverage their existing product images directly within Google Ads’ AI image editor, streamlining the creation of high-quality visual assets for campaigns.

Details:

  • Advertisers can now link Merchant Center feeds with Performance Max campaigns.
  • The AI image editor in Google Ads can access and enhance product images from Merchant Center.
  • Edited images are saved to the Asset Library for use in campaigns.
  • Performance Max campaigns can include up to 20 images.

How it works. After linking Google Ads to Merchant Center, advertisers can import product images into the Asset Library through the AI image editor’s media picker.=

Between the lines. This feature aims to simplify the ad creation process, potentially saving time and resources for advertisers while improving ad quality.

What to watch. The impact of this integration on ad performance and adoption rates among e-commerce advertisers.

First seen. We were first alerted to this update from Dario Zannoni’s LinkedIn:



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Teams that train together, win together. Send your team to SMX!

Successful search marketing requires thoughtful coordination between diverse teams responsible for SEO, PPC, analytics, and beyond.

Get your team on the same page, speaking the same language, and working towards a shared vision of success: Attend the SMX Master Classes – online August 21-22 – as a group to sharpen skills, broaden horizons, and learn actionable tactics that drive measurable results… and save up to 20% off* while you’re at it!

(Can’t attend live? Same-day on-demand access is included for free!)

With seven exclusive courses to choose from, the learning combinations are endless. Attend the same class to unify and bond – or attend different classes to dive deep into respective disciplines and report back with armloads of insights and next steps.

Click on a class below to learn exactly what you’ll learn – including a close look at the curriculum, actionable next steps, and each day’s training agenda.

Each Master Class is $299 per person – but the bigger your team, the bigger your savings:

  • Groups of 3-5 save 10%
  • Groups of 6-11 save 15%
  • Groups of 12 or more save 20%

No matter your setup or schedule, attending as a team is a win-win:

  • Working from home? Training together with your colleagues will foster a feeling of camaraderie that’s essential to high-performing teams, especially remote ones.
  • Tuning in from the office? Embark on an invaluable shared learning experience that will fuel creative brainstorms and collaborative projects for months to come.
  • Train at your own pace – and watch and rewatch for deeper learning – with the convenience of on-demand access, available until December 20, 2024 (120 days).

This is your chance to transform your team into a veritable search marketing Swiss Army knife. Email reg@thirddoormedia.atlassian.net to receive your exclusive group discount code and get your team signed up today.

Attending alone? Book your Master Class now!



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What is generative engine optimization (GEO)?

What is generative engine optimization (GEO)?

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. 

Generative engine optimization (GEO) is the latest major development revolutionizing the way people search and interact with information online. 

As GEO and its effects on SEO and digital marketing continue to evolve, we’ll cover the basics to equip you with the knowledge to navigate these dynamic changes and stay ahead.

Here’s what we’ll cover in this guide: 

  • What is GEO? 
  • How GEO differs from SEO.
  • Why GEO is important.
  • Key benefits of GEO.
  • How generative AI/answer engines work. 
  • How GEO works.
  • Future potential of GEO. 

What is GEO? 

GEO stands for “generative engine optimization” which means the process of optimizing your website’s content to boost its visibility in AI-driven search engines such as ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews. 

GEO positions your brand to appear in AI-generated results when users search for queries related to your products, services or areas of expertise.

As search behavior evolves, achieving better visibility in AI-generated responses is key to your brand being discovered in this new era of digital marketing. It’s not just about being seen; it’s about engaging potential customers, clients and audiences in meaningful ways, regardless of where they begin their search journey. 

Ultimately, the goal of GEO is to increase your website’s visibility, attract more targeted traffic and turn visitors into loyal fans of your brand who return time and time again. 

GEO vs. SEO: Similarities and differences 

Both GEO and SEO are cornerstones of modern digital marketing. 

While SEO has traditionally helped brands increase visibility on search engines like Google and Microsoft Bing, GEO is transforming how brands appear on AI-driven platforms. 

Understanding how GEO and SEO align and differ will help you optimize your content for both traditional and AI-driven searches. 

Let’s break down the similarities and differences and how using both can enhance your online presence.

How is GEO similar to SEO? 

GEO and SEO share several key objectives and methodologies:  

  • Visibility objectives: Both aim to enhance the visibility of content online, ensuring it reaches the intended audience effectively. 
  • Keyword strategy: Both involve the strategic use of keywords to improve discoverability and relevance. 
  • User experience: Both prioritize creating content that is engaging, easy to find and navigate. 
  • Content quality and relevance: Both emphasize the importance of high-quality, relevant content that meets user needs and adheres to E-E-A-T (experience, expertise, authoritativeness and trustworthiness) principles. 
  • Data insights and analytics: Both use data insights and analytics to refine strategies, understand user behavior and market trends and optimize content performance. 
  • Technical optimization: Both require attention to technical aspects like load speed and mobile friendliness, as well as ensuring content can be effectively crawled and understood by search engines. 
  • Authority building: Both build authority through credible content and relationships, focusing on enhancing trustworthiness and reliability.
  • Continuous adaptation: Both involve ongoing adaptation to changes in algorithms and technology to maintain and improve content visibility and performance.

How is GEO different from SEO? 

SEO primarily targets traditional search engines like Google, whereas GEO is designed for the dynamic world of generative AI and answer engines. 

These engines use advanced algorithms to gather and present information in a more contextually relevant way, which means we need different strategies to optimize for them.

Here are some key aspects that set them apart: 

  • Response generation: SEO optimizes for traditional search engines that provide a list of links in response to user queries. GEO optimizes content for AI systems to synthesize and prioritize information, generating quick and comprehensive responses.
  • Content contextualization: SEO optimizes meta tags and content with keywords to improve search rankings. GEO ensures that content is clear and contextually relevant, enabling AI algorithms to generate accurate and comprehensive responses. 
  • Information synthesis: SEO aims to improve the ranking of individual pages. GEO focuses on how AI integrates and synthesizes content from multiple sources to provide comprehensive answers. 
  • User intent understanding: SEO matches keywords to user queries to drive traffic. GEO uses advanced AI to interpret and anticipate user intent more accurately, delivering more nuanced and precise responses. 
  • Algorithm adaptation: SEO practitioners continuously adapt to updates in search engine algorithms. GEO requires ongoing adaptation to the evolving capabilities, preferences and methodologies of AI technologies. 
  • Content formatting: SEO optimizes content for traditional search engine formats. GEO crafts content that can be easily parsed and utilized by AI, including structured data and formats friendly to natural language processing. 
  • Research-driven strategy: SEO relies on keyword research and technical analysis to inform optimization strategies. GEO requires analyzing AI-generated content structures, topics and citation patterns and how they evolve over time to refine strategies, ensuring alignment with AI content processing and prioritization. 
  • Performance tracking: SEO tracks keyword performance, rankings and other organic search metrics to apply to optimization strategies. GEO tracks referral traffic from AI engines, cited sources and response structures to understand how AI-driven platforms prioritize and display your content, informing optimization tactics. 

Integrating GEO with SEO 

While GEO can be considered a digital marketing strategy with its own set of processes, it should be integrated with SEO as the baseline methodology for effectively increasing online visibility. 

There is a significant overlap between GEO and traditional SEO, as they share many core principles and practices. 

Traditional SEO techniques often lay the essential groundwork for GEO, and when combined, they can create a powerful digital marketing strategy that maximizes your online presence. 

Strategies for effectively combining GEO and SEO: 

  • Unified content strategy: Create content that works for both traditional search engines and AI-driven platforms. Ensure your content is high-quality, relevant and aligned with principles like E-E-A-T. 
  • Holistic keyword research: Conduct keyword and semantic research that covers traditional search terms, long-tail keywords, natural/conversational queries and contextual phrases relevant to AI algorithms. 
  • Technical excellence: Keep your website technically sound to meet the needs of SEO and GEO. This includes optimizing for load speed, mobile friendliness, structured data and natural language processing. 
  • Continuous learning and adaptation: Stay updated with the latest developments in both SEO and GEO. Adapt your strategies to align with changes in traditional search engine algorithms and AI technologies. 
  • Data-driven decisions: Leverage integrated insights from SEO and GEO research and data analysis to refine and enhance your optimization strategies.

By leveraging both GEO and SEO, brands can deliver an unparalleled user experience. SEO ensures your content is easily discoverable and ranks high in traditional search engine results. 

GEO enhances your content by presenting it in a relevant and engaging way on AI-driven platforms. This ensures users receive precise and comprehensive answers, attracting and keeping them engaged, which fosters loyalty and trust.

Dig deeper: How research on learning can help you understand advanced SEO concepts

Why GEO is important 

GEO is becoming increasingly vital as AI-driven search continues to grow. 

The initial excitement surrounding AI in search has settled, and we’re now witnessing a phase where public trust is stabilizing and technologies are reaching maturity. 

In this competitive landscape, Google, once the undisputed leader, now faces serious competition from Bing’s AI integration, ChatGPT, Perplexity and other innovative AI-driven platforms. 

Impact on organic search 

AI is reshaping the landscape of organic search, forcing businesses to rethink their marketing strategies. 

Gartner predicts a significant drop in traditional search volume by 25% by 2026, with organic search traffic expected to decrease by over 50% as consumers embrace AI-powered search. 

Additionally, 79% of consumers are expected to use AI-enhanced search within the next year and 70% already trust generative AI search results. 

Traditional SEO alone won’t cut it anymore. Brands must adapt by integrating GEO into their strategies to effectively capture and retain user attention on AI-driven platforms. 

Evolution in user search behavior 

GEO is essential because AI-driven search is transforming how people find and consume information. Users are now starting their searches on AI platforms for information, product research and purchases. 

For example, ChatGPT has over 180.5 million monthly active users, while Perplexity AI’s search volume has surged by 858% in the past year and it now has around 10 million active monthly users

This shift shows the growing trust in AI to give accurate, personalized and relevant information quickly. As AI becomes a bigger part of our daily lives, these platforms are becoming the go-to place for people to find information. 

By optimizing for AI engines, you can make sure you’re meeting users where they are and providing the high-quality, relevant content they expect. This is crucial for staying visible, engaging users and staying competitive.

What are the benefits of GEO? 

Here’s why GEO is essential and the key benefits it offers: 

  • Increased reach: Optimizing for generative AI increases your visibility beyond traditional search engines. As users turn to AI platforms, having optimized content ensures you capture a broader audience. 
  • Enhanced user experience: GEO optimizes content so AI can provide quick, relevant and personalized answers, improving user satisfaction and loyalty. By understanding context and user intent better, AI platforms offer more personalized information. 
  • Competitive advantage: Early adoption of GEO can position your brand as a leader in this new landscape, setting you apart from competitors and establishing your brand as a forward-thinking authority. 
  • Brand authority and credibility: Optimizing for AI platforms helps establish your brand as a trusted source. As these platforms synthesize information from multiple sources, having your content included enhances your brand’s credibility. Additionally, focusing on entities (specific topics, people, places, things) ensures your content is accurately represented by AI, further reinforcing your brand authority.
  • Data-driven insights: GEO offers nuanced metrics and insights to refine strategies and improve engagement, providing a deeper understanding of how users interact with your content. By leveraging this data, you can refine your strategies to better meet user needs, improve content relevance and drive more effective engagement. 
  • Future-proofing your SEO strategy: As search technologies evolve, adopting GEO ensures your digital marketing strategies remain effective and adaptable, safeguarding your brand’s online presence and competitiveness. 

GEO benefits in action  

To illustrate the potential of generative engine optimization, let’s dive into the initial study conducted by researchers from Princeton, Georgia Tech, The Allen Institute of AI and IIT Delhi. 

This extensive study, analyzing 10,000 search queries, aimed to pinpoint key factors influencing GEO effectiveness and offer actionable insights for content creators (Aggarwal et al., 2023). 

The research explored various tactics specifically designed to enhance content visibility. 

Evaluated tactics 

  • Keyword enhancement: Integrating relevant keywords naturally throughout content. 
  • Citing sources: Enhancing credibility by linking claims to reliable sources. 
  • Adding statistics: Supporting arguments with quantitative data. 
  • Including quotations: Using expert quotes for depth and authority. 
  • Simplifying language: Making complex concepts understandable. 
  • Fluency otimization: Ensuring smooth and error-free text. 
  • Using unique words: Enriching content with specific vocabulary. 
  • Incorporating technical terms: Showcasing expertise in niche queries. 
  • Authoritative content: Using persuasive language to build credibility. 

Visibility improvements 

The study found that certain tactics could significantly boost source visibility: 

“Specifically, our top-performing methods, Cite Sources, Quotation Addition, and Statistics
Addition, achieved a relative improvement of 30-40%… These methods require minimal changes
but significantly improve visibility in GE responses, enhancing both credibility and richness of
content.”

– GEO: Generative Engine Optimization (Aggarwal et al., 2023)

Domain-specific optimization 

The study also highlighted that the effectiveness of these strategies varies across different domains, emphasizing the need for domain-specific optimization: 

  • Debate, history and science: Adding technical terms and authoritative style adjustments increased visibility. 
  • Business, science and health: Fluency optimization made content clearer and more engaging. 
  • Statements, facts and law and government: Credible citations were crucial for factual and legal accuracy. 
  • People and society, explanation and history: Quotations from reputable sources enhanced visibility. 
  • Law and government, debate and opinion: Relevant statistics provided valuable insights. 

Critique and validation 

Despite this study’s promising results, it has faced some criticism regarding its methodology and conclusions. 

Concerns include potential biases, the use of simulated data and the introduction of new content, which might have skewed the results. Sandbox SEO’s critique raised concerns about the study’s findings and noted the overlap between GEO and traditional SEO practices, challenging the uniqueness of GEO (Sandbox SEO, 2023).

Nevertheless, it provides a valuable starting point. Both research and practical applications show that leveraging GEO strategies can significantly enhance visibility and engagement. 

Advanced methods and key strategies beyond those covered in the study can further optimize your results, and this guide will delve into additional tactics that can be implemented to maximize your success. 

How generative AI/answer engines work 

Generative AI engines synthesize vast amounts of data to provide concise, comprehensive responses to user queries. 

Using advanced machine learning models that understand and process natural language, these engines deliver relevant and contextually rich answers. Unlike traditional search engines, which simply list web pages, generative AI engines create conversational and nuanced responses.

Here’s a breakdown of how generative AI engines work:

  • Data collection: The engine gathers huge amounts of data from various sources to create a comprehensive knowledge base. 
  • Preprocessing: The collected data is cleaned and formatted to be ready for training. This stage involves standardizing data, removing noise and ensuring consistency. 
  • Model training: Machine learning models are trained on this preprocessed data to understand and process natural language. This involves teaching the model to recognize patterns, understand context and interpret language. 
  • Inference and fine-tuning: The trained models are fine-tuned for specific tasks to improve their performance on certain queries. Fine-tuning adjusts the model parameters to better handle specific types of questions or topics. 
  • Content generation: The AI engine takes the trained model and uses it to generate responses to user queries. During this process, the AI synthesizes information from its vast knowledge base, combining relevant data points, contextualizing them and forming coherent, comprehensive answers. The output is not just a list of facts but a well-structured, conversational response that directly addresses the user’s question. 
  • Evaluation and optimization: The content generated is evaluated for quality and relevance. Feedback from this evaluation is used to further refine the model, improving future responses. 
  • Prioritization: The AI prioritizes content based on its relevance, quality and context.  

Understanding this process allows content creators to tailor their strategies to meet AI requirements, ensuring their content is effectively synthesized and ranks highly in AI-generated responses.

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How does GEO work? 

GEO is a cutting-edge strategy designed to optimize content specifically for generative AI platforms. GEO aims to ensure content is high-quality, contextually relevant, easy to understand and highly accessible to AI, increasing its likelihood of being prioritized.

Here’s a high-level overview of the fundamental elements that make GEO work:  

1. Generative AI research and analysis 

Generative AI research is the foundation of GEO, offering critical insights into content prioritization, structure performance, keyword strategies and the competitive landscape. Understanding how AI systems prioritize and interact with content allows you to fine-tune your GEO strategies.

Key areas of research to enhance GEO strategies include: 

  • Keyword and semantic research: Identify and target keywords relevant to generative AI queries. Focus on long-tail keywords, natural language queries and conversational phrases. Use semantic analysis to extend traditional SEO research and identify related concepts, addressing user intent more effectively and enhancing content relevance.  
  • AI Overview response analysis: Determine key queries that trigger AI-generated overviews. Study topics, response structures and cited sources to identify trends and preferred answer formats, such as paragraphs, lists, videos or tables. 
  • Competitor research: Identify businesses featured in AI search responses for your top queries. Analyze their strategies to uncover strengths, weaknesses and growth opportunities. 
  • Brand perception research: Evaluate how AI platforms like ChatGPT and Perplexity perceive your brand, using this understanding to positively influence AI-driven perceptions and enhance your brand’s reputation. 
  • Content research: Analyze preferred content types and formats prioritized by AI-driven search engines. Align your content with these preferences to ensure prominence, focusing on structures and formats that resonate with AI algorithms. 
  • Response analysis: Monitor the evolution of AI-generated response structures, topics and citation patterns. Refine strategies based on these insights to maintain alignment with AI content processing and prioritization. 

Once you’ve gathered key insights from your research, use them to align your content with the preferences of AI algorithms. 

Continuously update and refine your strategies based on ongoing research, evaluating how generative responses evolve over time to keep your content effective and prioritized.  

2. Content quality and relevance 

GEO enhances your content by aligning it with the specific criteria that AI algorithms use to determine relevance. Key factors to consider when creating and optimizing content are: 

  • Contextual accuracy: Ensure your content directly addresses the user’s query and intent. Provide relevant and meaningful information, free from off-topic details, to improve the relevance and quality of search results. 
  • Semantic relevance: Use keywords and phrases that are semantically aligned with the topic and user’s intent. Understanding the relationships between words and entities ensures your content matches search intent and enhances relevance for semantic search. 
  • Comprehensive responses: Provide thorough and detailed answers that fully address user queries. AI-driven search engines will more likely prioritize high-quality content offering in-depth information. 
  • Informative and engaging: Create content that is informative, engaging and easy to digest. Focus on comprehensive guides, detailed articles and interactive content that provide clear answers and actionable insights. 
  • Multimedia integration: Diversify your content by incorporating visual and interactive elements like videos, infographics and quizzes to engage both human readers and AI-driven search engines. 
  • User intent focus: Always prioritize user intent in content creation. Understand the different types of queries (informational, navigational, transactional) and tailor your content to meet these needs. Aligning with user intent enhances your visibility on AI platforms.
  • Content freshness: Regularly update your content to signal to search engines that the information is current and relevant. Fresh content improves rankings and visibility by demonstrating alignment with current trends and user interests. 
  • Authority and credibility: Establish your site as a trusted source through reputable citations and demonstrated expertise. Cite reliable sources, include expert quotes and use relevant statistics and data in your content to build credibility and improve site ranking. 
  • Entity optimization: Focus on key entities (people, places, concepts) in your content. Use precise terminology and provide context to help AI understand their relevance. Link to authoritative sources, use descriptive language and mention entities meaningfully to enhance AI recognition and prioritization of your content. 

3. Content structure and clarity 

GEO ensures your content meets AI algorithms’ standards for understanding, interpreting and prioritizing information. Here’s how to structure your content effectively: 

  • Content clarity: Ensure your content is clear and concise, emphasizing the most important information early on. This helps AI quickly grasp the core message and improves user engagement. Use straightforward language and avoid jargon to communicate your key points effectively. 
  • Introductory sentence: Start each page with a clear and concise introductory sentence that highlights the main purpose or topic. This sets the context for both AI and users, improving engagement and understanding. 
  • Content readability: Enhance readability by using headings, bullet points and multimedia elements. This structure satisfies both user queries and AI’s need for organized, relevant information. 
  • Structured data: Use structured data, such as schema markup, to help AI understand your content better. Markup elements like articles, reviews and products to improve how your content is displayed in search results and increase the chances of appearing in prominent features like knowledge panels and snippets.  
  • Direct answers to queries: Provide direct and concise answers within the first few sentences of your content. AI favors content that quickly addresses user questions, increasing the likelihood of being featured in AI-generated responses. 
  • Highlight key information: Use bullet points, numbered lists and tables to emphasize important points, making it easier for AI and users to scan and understand your content. 
  • Optimize headers: Use clear, descriptive headers to organize your content. This helps AI algorithms understand the hierarchy and main points, improving relevance and readability. 

4. Content distribution and engagement 

GEO enhances your content’s reach and impact by ensuring it is distributed and engaged effectively. 

In the era of AI, content distribution is not just about getting your content out there but about strategically placing it where AI systems can easily access, process and prioritize it. Here’s how to implement these strategies: 

  • Distribute across platforms: Large language models (LLMs) like those used by AI-driven search engines are trained not just on content found in blog posts but also within communities like Reddit and Quora. Distribute your content through these channels to maximize your ability to influence the stories and responses generated by AI systems.  
  • User-generated content (UGC): Encourage reviews, testimonials and social media posts to add authenticity and diverse perspectives to your content. UGC makes your content more relatable and trustworthy, boosting engagement and signaling activity to AI platforms. Regular updates with UGC align with user queries and improve search discoverability, as AI systems prioritize fresh and relevant content. 
  • Leverage social media: Share your content on social media platforms to increase its reach and engagement. Generative AI also uses signals from social media to rank and index content. By maintaining an active presence on social media, you can ensure that your content is being picked up and promoted by AI-driven platforms, enhancing your visibility and engagement. 
  • Community building: Create and nurture a community around your brand through forums, social media groups or dedicated platforms. Engaging with your community can lead to more user-generated content, feedback and brand loyalty. Active communities provide a steady stream of fresh content and interactions that AI systems can analyze and prioritize, further boosting your content’s visibility. 

5. Brand authority and credibility 

GEO enhances your content’s visibility and trustworthiness by building and maintaining brand authority and credibility, which appeals to AI’s emphasis on authoritative and credible sources. 

Here’s how to do it effectively: 

  • Consistency: Ensure your brand’s messaging, data points and key information are uniform across your website, social media profiles and other online platforms. Consistent information builds trust and authority, helping AI algorithms generate accurate responses and reinforcing your credibility. 
  • Offline reputation: Maintain a positive offline reputation, as it directly influences your online presence. Just as Google’s algorithm factors in offline brand reputation for online rankings, AI platforms also consider your brand’s overall reputation. Strong offline credibility enhances your authority in the GEO space, ensuring your content is perceived as trustworthy and authoritative.
  • Backlinking: To boost your content’s credibility, acquire high-quality backlinks from authoritative and relevant sites. Engage in content marketing efforts like guest blogging, creating shareable infographics and publishing original research to attract organic backlinks. A robust internal linking structure also helps AI understand content relationships on your site. 
  • Ethical and transparent practices: Ensure all content is ethically created, avoiding manipulative practices that could lead to penalties. Be transparent about data sources, affiliations and sponsorships to build trust and credibility with users and AI. 

6. Technical SEO

GEO integrates with traditional technical SEO practices to ensure your site is technically sound and accessible, which is essential for it to be discovered and prioritized by AI algorithms. Key components include: 

  • Optimizing HTML tags: Using appropriate HTML tags like title tags, meta descriptions and header tags to improve content structure. 
  • Mobile optimization: Ensuring the website is fully responsive and provides a seamless user experience across all devices. 
  • Improving loading speed: Implementing best practices for faster loading times, such as compressing images, leveraging browser caching and optimizing code. 
  • Fixing crawling and indexing issues: Regularly checking for and resolving issues that could prevent search engines from crawling and indexing the site effectively. 
  • Enhancing site security: Using HTTPS to ensure a secure connection, which is favored by search engines and provides better user trust. 

7. Experiment and iterate 

GEO will continue to evolve, requiring marketers to stay flexible and creative. Here’s how to keep up: 

  • Try different content types: Mix things up with various formats, such as articles, videos, infographics and interactive elements. If you usually write blog posts, try creating a video series or infographics to see what resonates best with your audience and AI platforms. 
  • Continuous testing: Use A/B testing to find what works best and keep tweaking to improve visibility on AI-driven platforms. Continuously experiment with different content formats and structures and stay informed on how AI algorithm preferences and response patterns are evolving for your key queries. Additionally, AI favors fresh content, so frequent testing provides more updates, which can enhance your visibility.
  • Learn and adapt: Pay attention to which content gets the most engagement, refine your strategies based on these insights and make data-driven decisions to stay effective. Be prepared to quickly adapt to new trends and changes in AI algorithms. 
  • Stay updated: Follow industry blogs, attend webinars and join forums to keep up with the latest trends and technologies in AI and GEO. Engage with the community to exchange insights and stay informed about emerging practices and developments. 

In essence, continue to experiment, learn and adapt. Approach each challenge with curiosity, seeing it as an opportunity for improvement and growth. 

8. GEO is ongoing 

GEO is an ongoing process that requires continuous exploration, tweaking and fine-tuning. It’s not a one-time task but a dynamic journey to ensure your content stays sharp, relevant and ahead of the curve in the fast-paced digital world. 

Regularly review your content’s performance to see if you’re meeting your goals. Stay flexible and adapt your strategies to keep up with ever-evolving AI search algorithms, using data and user feedback to fine-tune your content.  

Bottom line?

Listen to your audience because they know what they want. 

Future potential of GEO 

The potential of GEO is vast as AI technology continues to advance and more people integrate generative AI into various aspects of their lives. 

A recent McKinsey survey shows that 65% of organizations now regularly use generative AI, almost double the number from ten months ago. 

A glimpse into the future of AI search 

  • Sophisticated AI capabilities: Imagine a future where AI not only answers queries but also anticipates user needs before they arise. Advanced natural language processing capabilities will deliver increasingly precise and nuanced responses, transforming our interactions with information. AI will become proactive, providing suggestions and insights that users may not have explicitly searched for, enhancing the overall search experience. 
  • Voice and visual search: The integration of GEO with voice and visual search technologies will revolutionize user interactions. Voice search will become more prevalent as AI improves its ability to process and understand spoken queries. Similarly, visual search will enable users to obtain information by simply capturing images, making information retrieval more intuitive and accessible. Optimizing content for these formats will be essential for maintaining visibility and relevance. 
  • Seamless integration: The fusion of GEO with technologies like augmented reality (AR) and voice search will further enhance user interactions. Envision users receiving AI-enhanced, real-time visual guidance, making information more accessible and engaging. This seamless integration will blur the lines between online and offline experiences, creating a more cohesive and interactive digital environment. 
  • Hyper-personalization: AI will offer deeply personalized experiences, tailoring responses to individual user preferences, behaviors and contexts. This level of personalization will redefine user engagement, making each interaction feel uniquely tailored and impactful.  
  • Multimodal search evolution: The expansion into multimodal search will enable AI to integrate text, images, audio and video seamlessly, providing users with richer, more comprehensive search results. This approach will cater to diverse user preferences and learning styles, offering a more versatile and engaging search experience. Content creators will need to optimize across multiple formats to ensure their visibility in these enhanced search environments. 

The journey of GEO is about more than keeping pace with AI; it’s about pioneering the future of digital engagement. The future belongs to those who are willing to harness the full potential of generative AI and transform their digital presence.  

Key GEO takeaway

Innovate, adapt and lead.

Those who seize the opportunities presented by GEO today will be the trailblazers of tomorrow’s digital world. 



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New Google Business Profile AI tool creates a menu from an image

Google launches new AI-powered menu photo feature

Google recently unveiled a new feature that allows users to create a detailed menu from a photo with AI

Generate a menu with AI

To use this feature, select the Edit Menu button from your Google Business Profile (GBP) dashboard.

Edit menu in GBP

From there, you can upload an image of your menu. PDF is not accepted.

This feature is a great way to quickly and easily create a menu for your restaurant or cafe.

Here are some of the benefits of using Google’s new feature:

  • It’s fast and easy to use. After uploading, I could edit the menu and publish pretty fast.
  • It will insert headers. If a header is on the menu, it will insert a header to the menu.
  • It will also insert prices. It recognizes prices on the menu and inserts them into the item.

Here are some of the pain points of using AI to generate a detailed menu from your photo:

  • It only allows you to upload one photo. If your menu can not fit on one page, then the remaining parts of the menu will have to be updated manually.
  • It’s buggy. When testing, I noticed that if there are no headers at the top of the menu, then it creates two separate items: one item for the menu name and another for the item description.
  • Prices are inserted. Although my menu had no prices, it did add pricing to a couple of the menu items.

If you’re looking for a quick and easy way to add your menu to your GBP, this is a great option, especially now that we know menu items are likely a ranking factor.



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Friday, July 26, 2024

Reddit launches Lead Generation Ads

Reddit has launched Lead Generation Ads in public beta, available globally for advertisers working directly with the platform.

Why we care. Reddit’s new ad format allows advertisers to collect user information directly on the platform, potentially improving lead quality and campaign performance for businesses across various industries.

Key features:

  • Mobile-optimized design with auto-populating email fields.
  • Privacy-focused approach for secure data handling.
  • Integration with Zapier for direct CRM connectivity.

By the numbers:

  • 75% of B2B decision-makers say Reddit has the most influential perspectives on business products.
  • 28% of redditors researched online education programs in the past 6 months.
  • 93% of redditors say the platform helps them make informed tech upgrade decisions.

What they’re saying. LaunchDarkly, a feature management platform, reported a 30% decrease in cost per lead and a 25% increase in lead submission rates during beta testing.

Between the lines. The Zapier integration allows advertisers to streamline lead management by automating the process of sending leads directly to their CRM systems.

Bottom line. Reddit’s new ad format, combined with its engaged user base and Zapier integration, could make it a more attractive platform for businesses looking to generate high-quality leads efficiently.

  • Reddit’s move into lead generation ads, represents a significant step in bridging the gap between user engagement and advertiser needs, potentially reshaping how businesses approach lead acquisition in online communities.


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How blogging builds trust and brand loyalty in the age of AI

How blogging builds trust and brand loyalty

Some so-called digital marketing experts have said “blogs are dead,” especially in big business.

This couldn’t be further from the truth, especially with changes in search like AI Overviews and the endless flow of trust customers now require.

Blogs build trust gradually, contrary to what shady marketers claim. Results aren’t instant. It’s a long-term strategy that grows over time. If Warren Buffett were a marketer, he’d be a blogger.

Over time, blogs enhance brand awareness, attract qualified leads and ultimately strengthen the bottom line.

Many ecommerce and service-based business leaders view blogging as unnecessary, which reflects an outdated attitude. As audiences evolve and AI changes how we search for products, content becomes crucial for reaching new customers and nurturing existing ones.

Blogging is far from dead and has never been more vital for brands and business leaders.

Here’s why every business should focus more on their blog during a time when AI continues to rule search and attention spans get smaller and smaller.

The way we shop online is changing

The latest data from Google shows that roughly 53% of customers conduct online research before purchasing a product or service.

Informative content can help influence users’ purchasing decisions or even empower users to make the right decisions. That much is obvious. 

But, in competitive keyword searches where your result is not on top, there is a great opportunity to still reach customers with your brand using content. This may appear under People Also Ask or as an organic blue link under the Shopping Carousel. 

Google search - fender flares for f150

Likewise, creating content with referral links to your products or store is also a great way to reach customers who are still in the research stage. Check out how Casper uses content to make customers aware of their mattresses and pillows. 

Google search - size of a twin bed

It’s not just customers changing their behaviors, but also Google itself. 

Google’s foray into AI is now a reality. AI Overviews radically promises to shift the way we search for products. 

AI-generated results will use a mix of products, blogs and local-pack results to offer customized and personalized results. 

While it’s difficult to influence what products Google displays for its AI-powered results, you may have some luck by writing custom content for longer-tail keyword searches. 

Google search - Best frame for a 12x16 picture

Brand ethics are more important than ever

Studies show that most consumers are more likely to be loyal to brands that practice sustainability or ethics. This is especially true of younger generations who prioritize corporate responsibility more than older generations. 

Creating blog content around your business’s various initiatives is a great way to tell a story and engage with users. 

Nordstrom has an ongoing blog called Nordstrom Now, which details its corporate initiatives. Kohl’s and many other brands do the same. 

Blogging builds brand loyalty

One fast track to brand loyalty may, surprisingly, be content marketing.

A study out of Vietnam found that relatable digital content marketing increased perceived brand loyalty among customers. Another from the Pakistan Journal of Social Sciences found a similar relationship.

Blogs are the ultimate way to reach your customers and also influence their perception of your brand.

Some examples of power content to experiment with include:

  • Content that shows the human side of a brand.
  • Content that entertains and relates to its audience through storytelling.
  • Educational content that instructs and empowers customers to make active decisions.

Authorship is powerful for branding

People are more likely to link to and share content from people they trust. Building authorship on your platform is an easy way to develop that trust. 

I’ve worked with a remarkable number of C-level executives who never considered sharing their knowledge on a blog or any platform.

There is so much value to be had in developing authority and reputation for your business and personal brand by sharing first-hand knowledge from your industry in a blog. 

Encourage more company leaders to write for your blog and share it with their social media networks to develop greater buzz and loyalty toward your business. 

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Blogs can aid in conversion optimization

Blog content is a powerful tool across all areas of your sales funnel.

At the top end of the funnel, informative content is a great, free resource to attract visitors to your site. Once on your website, offer incentives that force people to give you contact information for lead follow-up, such as signing up for a newsletter. 

Then, once leads are further inside your funnel, you can use content to help influence leads to decide on a purchase.

My digital marketing company uses technical SEO checklists and evergreen guides straight from our blog to help customers make decisions. These blogs also provide them with standalone value, earning our brand more authority. 

You can even repurpose evergreen content into aesthetically pleasing ebooks or downloadables that make your company look even more authoritative. 

Blogs can be repurposed across multiple channels

Blog content can easily be repurposed across multiple channels to reach even more customers outside your orbit. 

Consider repurposing existing blogs to create:

  • Email newsletters.
  • Social media posts.
  • LinkedIn newsletters.
  • Webinars.

Blog topics and information can also be repurposed into other digital mediums, such as video or audio, to put on any other platforms your company already uses. 

On the flip side, it’s always good practice to post anything you share externally on your blog so you can build a second-traffic source. For example, post videos you share on YouTube on your blog with a small informative post to help it rank even higher in Google’s algorithm. 

Business blog guidelines

I’ve written extensively about blog strategy over the years. Here’s a quick summary of the essentials:

Step-by-step guide to developing a content strategy

  • Define your goals: Clearly define what you want to achieve with your content. This could be increasing brand awareness, generating leads or improving customer engagement. Make sure these goals are specific, measurable, attainable, relevant and time-bound (SMART).
  • Understand your audience: Gather data on your audience’s demographics, preferences and pain points to develop detailed buyer personas. Refine these personas using surveys, social media analytics and customer feedback.
  • Conduct a content audit: Review your existing content to identify what’s working and what’s not. This helps you understand gaps and plan future content that fills these gaps and aligns with your audience’s interests.
  • Plan your content: Based on your audit, plan a variety of content types that cater to different stages of the buyer’s journey. Incorporate blog posts, videos, infographics and podcasts to diversify your approach.
  • Schedule and manage: Use a content calendar to effectively schedule your content. This helps maintain a consistent publishing schedule that keeps your audience engaged.
  • Measure and optimize: Continuously track your content’s performance using key performance indicators (KPIs) like traffic, engagement rates and conversion rates. Use this data to tweak and optimize your strategy over time.

Always think of SEO

  • Focus on user intent: Tailor your content to match your audience’s queries and needs. This involves understanding the intent behind search terms and providing comprehensive answers.
  • Optimize for voice search: With the rise of digital assistants, optimize your content for conversational queries. This means using natural language and question-based keywords.
  • Leverage AI and machine learning: Use AI-driven tools to analyze the success of your content and to personalize content offerings based on user behavior.

Enhancing engagement with interactive blog features

  • Polls and surveys: Embed interactive polls to engage readers and collect their opinions on various topics.
  • Infographics and visual data: Use tools like Canva or Venngage to create eye-catching infographics that simplify complex data.
  • Downloadable resources: Offer downloadable ebooks, white papers or checklists that provide added value in exchange for email addresses, aiding in lead generation.

By implementing these guidelines and utilizing the recommended tools, you can significantly enhance your blogging strategy, making it more aligned with your business objectives and responsive to your audience’s needs.

Business blogs: Your world of untapped opportunity

In the ecommerce space, where brands compete for a small share of digital real estate, blogs open up a whole other stream of traffic that can be just as valuable to your business.

I’ve seen businesses scale in the ecommerce space, writing blogs on everything from aftermarket truck parts to fitness products you can use at home.

The best part of a business blog is that you can write at your own pace or hire a team of specialized writers. Notice I say specialized. You wouldn’t want your trained pest expert blogger writing content for lawyers and vice versa to offer a simple explanation.

Plus, unlike ads, the traffic doesn’t go away as soon as you turn off the money tap. It compounds, helping build your authority, rankings and, ultimately, your bottom line.



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