AEO vs GEO:
What to Fix on Your Site

AEO focuses on answering questions; GEO focuses on visibility within AI-generated answers. The work overlaps. Google expands AEO as answer engine optimization and GEO as generative engine optimization, and treats optimization for its AI-search experiences as SEO. For a website, the practical priorities are accessible pages, clear answers, substantiated information, and measurement for the relevant search product.

What is the difference between AEO and GEO?#

A useful working distinction is answer usefulness versus source visibility. AEO emphasizes how well a page answers a question. GEO emphasizes whether information from that page appears, with attribution, in a generated response. These emphases can apply to the same page.

An answer surface does not have to generate new prose. In Google’s featured-snippet format, an excerpt appears before the page link. Google determines which pages receive that treatment; a publisher cannot mark a page for selection.

The original GEO research describes generative engines as systems that retrieve sources and synthesize responses. It defines GEO around improving the visibility of source content within those responses. A generated answer can use several sources, so the appearance of a supporting citation differs from a conventional position in a list of search results.

The comparison below uses that working distinction. It describes content priorities rather than separate platform requirements.

AEO can include work on generated answers, and GEO work also benefits from direct, useful answers. The distinction helps identify what to improve; it does not require separate versions of every page.

How do AEO and GEO relate to SEO?#

For Google Search, AI-search optimization remains part of SEO. Discovery, indexing, content quality, and page usability remain relevant to both conventional and generative results.

Google’s AI features documentation explains that AI Overviews and AI Mode may run multiple related searches across subtopics, a process called query fan-out. This suggests covering the subject’s related questions and distinctions on the pages where they belong.

AEO and GEO therefore share a foundation, while the search product determines the access rules and observable results. Google’s requirements should be checked for Google visibility; ChatGPT search has its own crawler controls.

What to fix on your site#

1. Check Google indexing, content access, and AI inclusion#

A page must be indexed and eligible to appear with a snippet to qualify as a supporting link in AI Overviews or AI Mode. Google’s guidance also recommends allowing crawling, making important information available as text, and connecting pages through internal links.

Use Search Console’s URL Inspection tool to examine the indexed page and test the live URL. Check crawl access, indexing status, Google’s selected canonical, and the rendered content. The indexed report and live test answer different questions: passing a live test does not establish that the page is already indexed or appearing in results.

Check Settings → Search generative AI in Search Console. Google’s Search generative AI control can include or exclude a site’s links and content from its generative features. A property can inherit its parent’s choice. This setting affects generative-feature inclusion separately from ordinary Search ranking and inclusion.

Review page-level restrictions too. Under Google’s robots directive specifications, noindex prevents a page from appearing in search results. nosnippet prevents text snippets and direct use of the content in AI Overviews and AI Mode. data-nosnippet excludes selected text from snippets, while max-snippet limits displayed text and direct input to those AI features. Confirm which restrictions are intentional before changing them.

2. Check the crawler for ChatGPT search#

OpenAI’s crawler documentation identifies OAI-SearchBot as the crawler for ChatGPT search. For intended search visibility, check both its robots.txt access and whether the site’s infrastructure allows requests from OpenAI’s published IP ranges.

The same documentation distinguishes search access from training: allowing OAI-SearchBot and disallowing GPTBot are independent choices. Opening access to a training crawler is therefore unnecessary for allowing the search crawler. Review the control for the actual product being measured.

3. Make the answer complete and easy to find#

Google’s content guidance asks whether a page provides a complete treatment of its topic and leaves readers with enough information to achieve their goal. Apply that test to each important answer:

• Put the definition, conclusion, or instruction near the relevant heading.
• Keep conditions and exceptions beside the answer they qualify.
• Present procedural steps in the order they must be performed.
• Compare options using the same attributes, including limitations.
• Link to the supporting detail needed to verify or act on the answer.

These are editorial choices for clarity. They do not establish a required paragraph length, heading pattern, or extraction formula.

4. Strengthen the information a generated answer can use#

Review the evidence behind each claim. Google’s quality and expertise guidance calls for original information, clear sourcing, and evidence of relevant expertise. Publish verifiable details, explain the basis of comparisons, and identify the author or reviewer where relevant. For research and measurements, include the method, date, scope, and limitations needed to interpret the finding.

The GEO study found that adding citations, relevant quotations, and statistics improved source visibility in its experiments, with effectiveness varying across domains. Those results concern experimental visibility metrics. They do not establish a universal increase in website traffic.

Use evidence that supports the actual statement. A citation should let a reader check the claim; a statistic needs its source and context. Update time-sensitive facts and remove claims that the available evidence cannot substantiate.

5. Align structured data with the visible page#

Google’s structured data guidelines require markup to represent visible content and follow the rules of the relevant rich-result type. Audit existing markup for outdated, missing, or misleading details. Use supported types when they fit the page, and validate them with the Rich Results Test. Correct markup creates eligibility for supported rich results; it does not guarantee their appearance.

Do you need special AI files or answer formatting?#

For Google Search, the AI optimization guide says llms.txt is ignored for visibility and rankings, tiny content chunks are unnecessary, and no special schema is required for generative search. Choose length and structure around the information the reader needs. Evaluate another service’s file or markup requirements against that service’s documentation.

How to measure AEO and GEO results#

Measure the answer format and provider explicitly. An extracted answer, a source link in a generated response, a brand mention, and a website visit are different observations.

For Google, the Generative AI performance report in Search Console reports link impressions in AI Overviews and AI Mode. It supports analysis by page, date, country, and device, and excludes Search Labs experiments. Google notes that insufficient impressions can prevent the report from appearing. Its impression count measures displayed links, so it should not be treated as a count of visits or every use of the site’s information.

For ChatGPT, OpenAI’s publisher guidance says referral URLs include utm_source=chatgpt.com. Use that parameter in site analytics to track arrivals. Referral traffic cannot count appearances that received no click.

For direct observation of answers, keep a defined question set and record the product, date, question, response, and cited URL. Evaluate whether the displayed answer preserves the source’s qualifications. Keep mentions, linked citations, and visits separate. Repeat observations before drawing conclusions from changes; a single response provides a limited view of visibility.

Which should you prioritize?#

Prioritize access and eligibility first, then the gap in the content. An incomplete or buried answer calls for clearer explanations and structure. A comparison or factual claim without adequate support calls for better evidence and context. A page with both gaps needs both kinds of work.

For an existing site, start with its important answer pages: verify access, repair unclear or unsupported passages, and record the relevant search results and traffic. That sequence addresses the shared foundations of AEO and GEO while preserving the distinction between useful content, visible attribution, and visits.