The Complete Guide to the Google Rankings & LLM Citations Gap

November 26, 2025

The Complete Guide to the Google Rankings & LLM Citations Gap

Why Traditional Rankings No Longer Tell the Whole Story

New Data Finds Gap Between Google Rankings And LLM Citations, reshaping how businesses get found online. Research analyzing over 18,000 queries reveals a surprising reality: only 12% of URLs cited by AI search engines appear in Google's top 10 results. This gap varies by platform, with some AI models showing as little as 6% URL overlap with traditional search rankings.

Key Findings at a Glance:

  • ChatGPT: 8% overlap with Google's top 10 results
  • Perplexity: 28% overlap with Google (highest alignment)
  • Google Gemini: 6% URL overlap despite being a Google product
  • AI Overviews: 76% overlap (strongest connection to traditional rankings)
  • Overall Pattern: 40.58% of AI citations come from Google's top 10, but the majority of cited sources exist outside traditional search results

This divergence is by design. Google ranks pages based on authority signals and relevance, while AI models synthesize answers from multiple sources. They prioritize semantic clarity and fresh, structured content over traditional ranking factors. This creates a new layer of visibility independent from the search rankings marketers have spent decades mastering.

For home service companies, this gap is both a risk and an opportunity. A top Google rank doesn't guarantee visibility in AI-generated answers. Conversely, strategic content can earn AI citations without top search rankings, opening new pathways to reach customers.

AI models prefer recently updated content, pages with structured data, high-authority domains, and clear, scannable formats. For example, government sources are cited frequently, and 28% of AI-cited pages have no organic visibility, illustrating how these systems operate independently.

I'm Jennifer Bagley, CEO of CI Web Group. We help home service contractors steer digital change. Understanding the New Data Finds Gap Between Google Rankings And LLM Citations is now essential for marketing strategies that capture customers across both traditional search and emerging AI channels.

Infographic showing the overlap percentages between Google rankings and various AI-powered search engines, highlighting that most AI citations come from sources outside Google's top 10 results, with Perplexity showing the highest alignment at 28% and ChatGPT/Gemini showing single-digit URL overlap - New Data Finds Gap Between Google Rankings And LLM Citations infographic

Handy New Data Finds Gap Between Google Rankings And LLM Citations terms:

The Data Uncovered: New Data Finds Gap Between Google Rankings and LLM Citations

For years, the playbook for home service companies was simple: rank high on Google. For plumbers in Houston or HVAC contractors in Seattle, top Google spots meant customer calls. Now, that's changed. New Data Finds Gap Between Google Rankings And LLM Citations, challenging our understanding of online visibility. The content AI models like ChatGPT, Gemini, and Perplexity cite often differs from Google's top results.

A comprehensive study by Search Atlas analyzing over 18,000 queries found that only 12% of URLs cited by LLMs rank in Google's top ten. This means nearly 9 out of 10 AI-cited sources are outside what Google deems most relevant, a fundamental shift in how customers find information.

The overlap with Google's top 10 varies dramatically by platform:

  • Perplexity: Shows the strongest alignment with 28% URL overlap. It functions more like a traditional search engine, performing live web retrieval.
  • ChatGPT: Has only 8% URL overlap, drawing from a much broader information pool.
  • Google Gemini: Shows just 6% URL overlap, proving it operates with its own logic, independent of Google's search rankings.
  • Google AI Overviews: In contrast, these have a 76% overlap, as they are designed to summarize content Google already ranks highly.

For home service companies, this means optimizing for Google's top 10 is vital for AI Overviews but insufficient for visibility on other major AI platforms.

It's also crucial to understand the difference between URL and domain overlap. URL overlap is an exact page match, while domain overlap means the same website was cited, even if it was a different page. The data shows that domain overlap is significantly higher than URL overlap. For example, Perplexity has 43% domain overlap (vs. 28% URL), and ChatGPT has 21% (vs. 8% URL).

This indicates that AI models often recognize the same authoritative domains as Google but choose different pages from those sites. They perform genuine information synthesis, gathering details from various pages to construct an answer. For a homeowner researching water heaters, an AI might pull from a plumber's service page, blog, and FAQ—none of which might be the #1 Google result. This is why building topical authority across your entire website is more important than ever; it's about establishing your domain as a trusted resource for both search engines and AI.

Why AI-Powered Search and Google Search Results Diverge

Difference between search engine retrieval and AI reasoning - New Data Finds Gap Between Google Rankings And LLM Citations

The reason New Data Finds Gap Between Google Rankings And LLM Citations lies in how these systems work. Think of Google as a research librarian retrieving organized references, while an AI is like a master chef synthesizing an answer from experience. They use different methods to arrive at conclusions. For home service companies, understanding this difference is key to staying visible.

Retrieval vs. Reasoning: How AI "Thinks" Differently

The core difference is retrieval vs. reasoning. Traditional search engines like Google are retrieval systems. They scan an index and retrieve pages based on ranking factors like backlinks and domain authority. LLMs like ChatGPT and Gemini are reasoning engines. They generate original answers by synthesizing information from vast pre-trained knowledge. When they cite sources, they reference content that informed their reasoning, which may not be a top-ranking Google page.

Perplexity is a hybrid, performing live web retrieval before summarizing with AI, which explains its higher 28% URL overlap with Google. The implication is that your visibility strategy must account for both systems, as a top-ranking page on Google might be ignored by an AI, and vice-versa.

The Role of Content Freshness, Structure, and Authority

LLMs have distinct content preferences that contribute to the citation gap:

  • Content Freshness: AI models heavily favor recently published or updated content. Data shows a strong preference for content updated within the last two years. Regularly refreshing your content is crucial.
  • Structure and Clarity: LLMs gravitate toward well-organized content that is easy to parse. Clear headings, lists, tables, and FAQ sections are vital. Using schema markup helps AI models understand your content's context and purpose.
  • Authority: AI interprets authority differently than Google. While high domain ratings are preferred, LLMs also favor sources like Wikipedia, government sites (cited 11.75 times more often than average), and educational institutions. This aligns with Google's E-E-A-T principles (Experience, Expertise, Authoritativeness, Trustworthiness), making genuine expertise more important than ever.

The Implications for Marketers and Online Visibility

The fact that New Data Finds Gap Between Google Rankings And LLM Citations is a seismic shift for marketers in the home services sector. A top Google ranking no longer guarantees visibility across all customer touchpoints.

Introducing "AI Visibility": A New Metric for a New Era

This gap requires a new metric: "AI Visibility." We must now monitor how our brands appear in AI-generated answers, not just on Google. Ignoring this is like ignoring SEO 15 years ago. Since 28% of ChatGPT's most-cited pages have zero Google visibility, your top-ranking content can be easily bypassed. This new discipline, Generative Engine Optimization (GEO), is an essential evolution of SEO. It involves tracking brand mentions and citations within AI to ensure your expertise is visible in both traditional search and conversational AI.

How the Future of Information Findy is Being Reshaped

The rise of LLMs is reshaping information findy toward "conversational search" and "direct answers." This leads to several changes:

  • Zero-Click Searches: More queries are ending without a click, as answers are provided directly in search results or AI Overviews.
  • Fragmented, High-Quality Traffic: While AI search currently drives a small percentage of traffic (projected to grow to 5-10% by 2028), this traffic is exceptionally high-quality. Ahrefs found AI search visitors convert 23 times better than organic visitors, indicating they are further along in their decision journey.
  • Quality Over Quantity: For home service companies, a smaller volume of high-intent leads is more valuable than high-volume casual traffic. AI visitors are more engaged, viewing more pages and spending more time on site.

The future is a dual landscape where traditional SEO captures broad intent, while GEO and AI Visibility capture high-intent users seeking direct answers.

Checklist for SEO and AI SEO optimization - New Data Finds Gap Between Google Rankings And LLM Citations

Learning that New Data Finds Gap Between Google Rankings And LLM Citations means evolving your strategy, not abandoning it. At CI Web Group, we help our HVAC, plumbing, and electrical clients get found by homeowners across Houston, Texas, and the Pacific Northwest by optimizing for both Google and AI. These are complementary strategies that maximize your visibility.

New Data Finds Gap Between Google Rankings and AI Citations: What to Do Now

A dual strategy is now essential. Your traditional SEO efforts are the bedrock of visibility, especially for Google's AI Overviews (76% overlap with top 10 rankings). Good SEO is good GEO (Generative Engine Optimization).

However, you must also:

  • Conduct content audits with an AI lens: Ask, "Could an AI easily pull a clear answer from this page?" If not, refresh it.
  • Monitor your LLM visibility: Use tools to track which pages AI models are citing for your target queries, as their behavior shifts rapidly.
  • Move from keyword stuffing to semantic clarity: LLMs understand concepts. Your content must thoroughly and clearly answer user questions in natural language.
  • Build brand authority across the web: AI considers trust signals from your website, review sites, and social media. A consistent, reputable online presence signals to AI that you're a source worth citing.

Building Content for AI: A Checklist for Success

Creating content for both humans and AI requires a specific approach.

  • Answer-first formatting: Put the most important information at the top of the page, in an inverted pyramid style.
  • Question-based headings: Use clear, specific headings like "How Often Should You Clean Your AC Filter?" to act as signposts.
  • Structured data and schema markup: Use schema markup services to explicitly tell search engines and LLMs what your content is about. Google's own guidance emphasizes its importance.
  • Use lists, tables, and bullet points: Break down complex information into digestible formats that AI models favor.
  • Use plain, clear language: Write as if you're explaining something to a neighbor. Avoid jargon and keep sentences short.
  • Cite authoritative sources: Linking to sources like EPA guidelines reinforces your credibility.
  • Maintain content freshness: Regularly review and update content. Data shows AI heavily favors recently updated pages.
  • Build topical authority: Create comprehensive content clusters around your core services to signal your expertise to AI.

Frequently Asked Questions about the Google vs. AI Gap

Does ranking well on Google guarantee AI citations?

No. While a high Google rank helps with Google's AI Overviews (76% overlap with top 10 results), it does not guarantee citations from other AI models like ChatGPT or Gemini. These reasoning-based AIs have a much weaker correlation with Google's rankings. For example, 28% of ChatGPT's most-cited pages have zero organic visibility on Google. Factors like content structure, freshness, and semantic clarity are often more important for these AI models than traditional ranking signals.

Perplexity shows the strongest alignment with Google search results. Unlike other AIs, Perplexity uses live web retrieval, similar to a traditional search engine, before summarizing the results. This leads to a 28% URL overlap and 43% domain overlap with Google's top 10, significantly higher than ChatGPT (8%) or Gemini (6%). This means strong traditional SEO performance translates more directly to visibility on Perplexity.

What kind of content do AI models prefer to cite?

AI models prefer content that is:

  • Structured and Clear: Organized with headings, lists, and tables for easy parsing.
  • Fresh: Recently published or updated content is heavily favored.
  • Authoritative: Sourced from trustworthy domains like government, educational, or established media sites, aligning with E-E-A-T principles.
  • Direct: Provides clear, factual answers without marketing fluff, often in an answer-first format.

Understanding these preferences is key to bridging the gap where New Data Finds Gap Between Google Rankings And LLM Citations and optimizing for both search ecosystems.

Conclusion

The gap between Google rankings and AI citations is fundamentally reshaping how customers find your home service business. The old rules of focusing solely on Google are no longer enough. As the New Data Finds Gap Between Google Rankings And LLM Citations, success now requires a dual approach that targets both traditional SEO and AI visibility.

The fundamentals of great content—clarity, structure, and authority—are more important than ever, as they appeal to both Google's crawlers and AI's reasoning engines. The key is intentionality: structuring content with clear headings and lists, keeping it fresh, using schema markup, and monitoring your visibility across both traditional search and AI answers.

While competitors focus only on Google, you have the opportunity to build visibility everywhere your customers are looking. At CI Web Group, we help contractors stay ahead of these technological shifts. Our data-driven strategies are designed to help you dominate both traditional and AI-powered search.

With complete transparency, no contracts, and customized programs, we understand the technical complexities and practical realities of your business. In this new era, you need a partner who can help you succeed in both.

Find out more about our advanced SEO services and learn how we can help you capture customers across every channel.

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