Guide · Beginner
Does Google Ranking Still Influence AI Answers?
Google ranking still matters for AI answers, but it isn't the whole story. To be a supporting link in Google's AI Overviews or AI Mode, a page must be indexed and eligible for a snippet. AI features also run related searches and can cite pages beyond the top result. Research shows lower-ranked pages can gain the most from clearer, better-sourced content.
What does Google say?
Google's documentation says SEO best practices remain relevant for AI features, and that a page must be indexed and eligible to be shown with a snippet to appear as a supporting link (Google). It also says AI Overviews and AI Mode may use a "query fan-out" technique, issuing multiple related searches across subtopics and data sources to build a response (Google).
Two implications follow:
- Being in the index is required. Pages that aren't indexed can't be supporting links.
- Ranking for the exact query isn't required. Fan-out searches can surface pages that rank for related subtopics.
What did the GEO research find?
The GEO paper (KDD 2024) tested content changes on a generative engine built on the top five Google results (arXiv). Its findings by search position are striking:
| Original search rank | Change in visibility with "Cite Sources" |
|---|---|
| Rank 1 | −30.3% |
| Rank 5 | +115.1% |
In other words, optimised content at lower ranks could gain much more visibility in the generated answer, while top-ranked pages sometimes lost share as others improved. These are results from a research setup, not a live engine, but they show that rank and inclusion aren't the same.
How do other engines differ?
| Engine | Retrieval | Ranking relevance |
|---|---|---|
| Google AI Overviews / AI Mode | Google's index with query fan-out | Indexing required; ranking for related queries helps |
| Copilot | Bing's web index (Bing) | Bing rankings likely matter more than Google's |
| ChatGPT search | OpenAI's OAI-SearchBot and other search providers (OpenAI) | Its own retrieval; overlap with Google varies |
| Perplexity | PerplexityBot and its own index (Perplexity) | Its own retrieval |
How do you test it for your own prompts?
- Pick 30–50 queries where you know your Google position (Search Console or a rank tracker).
- Write matching prompts for each query.
- Run each prompt repeatedly (for example, 5 runs per engine).
- Calculate citation rate per prompt.
- Compare citation rate with position: are top-3 pages cited more often than positions 4–10?
- Look for outliers: pages cited often despite low rank, and top-ranked pages rarely cited.
Use a rank correlation (such as Spearman) if you want a number, but read the outliers; they tell you what to fix.
What makes a page cited despite a lower rank?
- A short, clear answer early on the page
- Specific facts, statistics and named sources
- Better coverage of a subtopic the engine searched for
- Fresh, current information
- A trusted, well-known source domain
What makes a top-ranked page miss out?
- The answer is buried under long introductions
- The page is a list of links rather than an answer
- Facts are vague or outdated
nosnippetor similar controls limit what can be shown (Google)
How should you read the test result?
| Pattern | What it suggests | Action |
|---|---|---|
| Strong link: top-3 pages cited much more | Ranking is a big factor for this engine and topic | Keep investing in classic SEO for these queries |
| Weak link: citations spread across positions | Content format and source trust matter more | Improve passages, facts and structure |
| Your pages never cited, competitors' are | Something specific is missing | Compare cited pages side by side |
| Cited pages aren't in the top 10 at all | Fan-out or other indexes are at work | Cover subtopics; check Bing and other engines |
Run the test again every quarter, as engines change their retrieval.
Does ranking matter more for some query types?
Plausibly yes, though you should test it. Navigational and brand queries tend to cite the official site, which usually ranks first anyway. Broad comparison queries and complex questions draw on many sources found by related searches, so position for the original query may matter less. Local and shopping queries often rely on structured sources such as business profiles and product feeds (Google), not just organic rankings.
A quick example
Illustrative. A company ranks #1 for "churn rate formula" but is rarely cited in AI Overviews, while a competitor at #6 is cited often. The competitor's page opens with a one-line formula, a worked example and a source. The company adds a short formula block and example at the top; its citation rate rises over the next monthly scans.
What mistakes should you avoid?
- Assuming rank #1 guarantees inclusion
- Ignoring Bing for Copilot visibility
- Testing with a single run per prompt
- Treating correlation as proof of cause
Checklist
- [ ] Important pages indexed and snippet-eligible
- [ ] Position vs citation test run on 30+ queries
- [ ] Outliers reviewed and fixed
- [ ] Bing visibility checked for Copilot
- [ ] Answer-first passages on key pages
Related
Sources
- Google Search Central, AI features and your website
- Aggarwal et al., GEO: Generative Engine Optimization, KDD 2024
- Microsoft Bing, Which crawlers does Bing use?
- OpenAI, Overview of OpenAI crawlers
- Perplexity, Perplexity crawlers
- Google Merchant Center Help, Product data specification
Questions
Do AI Overviews only cite top-ranking pages?
No. Google says AI features may run several related searches and link to a wider range of sources, so supporting links aren't limited to the top organic result.
Does ranking matter for ChatGPT or Perplexity?
Those engines use their own retrieval or partner indexes. Strong pages that rank well often do well there too, but the overlap varies by engine and query.
How do I test the relationship?
Compare your organic positions for a set of queries with your citation rates for matching prompts over repeated runs.