Generative Engine Optimization:
What It Is and What to Fix

Generative engine optimization (GEO) is the practice of improving a website’s visibility in AI-generated search answers. The GEO research paper defines it around how source content appears within generated responses.

In practice, GEO connects website access, the substance of an answer, and the way a search product represents its sources. The useful starting questions are concrete: can the product access the page, does the page answer the query, and does an observed citation accurately reflect its content? Those questions determine what to fix and what to measure.

How generative search uses web content#

Google describes retrieval-augmented generation and query fan-out: its systems retrieve pages from the Search index and can issue related searches to address parts of a question. Generated responses then include links to supporting pages.

For practical assessment, separate access from attribution. An accessible page is a candidate source. A citation is an observed link in an answer. A brand mention identifies a name but, without a link, does not identify a source URL. A referral is a visit to the website. Record each observation according to what it establishes; measuring one does not measure the others.

This distinction gives GEO a useful scope. Content work addresses the answer and its evidence. Technical work addresses whether the relevant product can obtain the content. Measurement checks the resulting visibility and the activity that follows it.

How GEO relates to SEO and AEO#

SEO helps search engines discover and understand content, as Google’s content guidance explains. GEO focuses attention on source selection and representation within generated answers. AEO stands for answer engine optimization; Google describes AEO and GEO as common labels for AI search visibility work and treats that work on Google Search as SEO.

The practical overlap is substantial: a useful answer still needs an accessible page and reliable information. GEO adds questions about the sentence attached to a citation, the source’s role in the answer, and the difference between being referenced and receiving a visit. Keep ordinary search performance alongside these observations when reviewing changes.

What the GEO research found#

The GEO study tested nine editing methods using GEO-bench, a benchmark containing 10,000 queries. Its main experiment generated answers from the top five retrieved Google results, and separate tests used Perplexity. Citations, relevant quotations, and statistics improved visibility in the tested systems; keyword stuffing offered little or no benefit.

The widely repeated “up to 40%” result concerns experimental visibility measures, including the amount and position of text associated with a source. It does not mean 40% more traffic or sales. The authors’ limitations note that engines and queries change and that effects on ordinary search rankings were not evaluated. These findings support testing content improvements, with results measured on the intended product.

How to do generative engine optimization#

Choose the search product and the published pages to assess. Establish their current eligibility and visibility, then make changes that address a documented problem. The following order moves from access to answer quality to accurate representation.

1. Check access and eligibility#

For Google, start with the Search technical requirements: Googlebot must be able to access the page, the server must return an HTTP 200 response, and the page must contain indexable content. Meeting these requirements makes indexing possible; it does not guarantee indexing. Use Search Console’s Page Indexing report and URL Inspection tool to investigate the specific URL.

Eligibility for Google’s generative features additionally requires an indexed page that can appear with a Search snippet.

Check the effective Search generative AI control in Search Console, too. It manages whether a site’s links and content can appear in supported generative features. Inclusion is the default for properties without a parent; child properties can inherit the parent’s choice. Check the effective setting instead of assuming that ordinary Search visibility establishes AI-feature eligibility.

For ChatGPT search, OpenAI’s crawler documentation identifies OAI-SearchBot as the search crawler and recommends allowing it in robots.txt and through network controls using its published IP ranges. GPTBot has a different purpose: crawling content that may be used for model training. Those controls are independent, so allowing search access does not require allowing GPTBot. OpenAI notes that sites opting out of OAI-SearchBot can still appear as navigational links.

2. Make the page answer the query#

Write the direct answer near the beginning, then explain the conditions, distinctions, and steps needed to use it. Organize the information with descriptive headings. Put a qualification beside the claim it changes, and identify the subject explicitly when a sentence would otherwise depend on an unclear pronoun.

Use tables for comparisons with shared dimensions and numbered steps for procedures. Preserve enough explanation for the answer to make sense when read on the page. Structure is useful when it clarifies the subject; adding headings alone does not resolve missing information.

Google’s helpful-content questions ask whether a page covers its topic substantially, provides original information or analysis, and adds value beyond rewriting its sources. Use those questions to identify gaps. Add the explanation, documented method, or verified detail needed to resolve the query. Keep the page focused on its subject rather than expanding it with unrelated industry language.

3. Support claims and maintain their accuracy#

Attach a source link to the factual statement it supports. For quantitative claims, include the date, population, units, and method needed to interpret the number. For quotations, retain the speaker’s attribution and the condition that qualifies the statement. Separate an external finding from the publisher’s own analysis.

Microsoft’s publisher guidance recommends evidence, clear structure, current information, and consistency across text, images, and video. Apply that guidance by checking the underlying facts whenever content changes. Reconcile conflicting descriptions of the same subject and correct outdated passages, including captions and comparisons.

Make authorship and relevant expertise identifiable. Google’s reliability guidance explicitly asks about clear sourcing, author or publisher background, and knowledgeable review. Provide those details where they help a reader evaluate the answer.

4. Keep markup consistent with visible content#

Google’s structured-data guidelines require markup to represent the page accurately and prohibit marking up information hidden from readers or unrelated to the subject. They also state that valid markup does not guarantee a rich result.

Use a documented schema type when it describes the page and serves a relevant search feature. Check the visible text and markup together after changes: names, dates, descriptions, and other facts should agree. A successful markup validation establishes that the tested requirements were met. Treat any appearance in a generated answer as a separate observation.

Are special AI files or content formats required?#

For Google Search, the official AI optimization guide says llms.txt does not affect visibility or rankings. It specifies no required content chunk size or ideal page length, and no special schema.org type is needed for generative AI features.

Evaluate a proposed file or formatting change against the requirements of the product it is intended to affect. A Google-specific statement does not establish what another service uses. Tie implementation work to a documented requirement or a measured problem on the page.

How to measure GEO#

Measure visibility, accurate attribution, visits, and useful outcomes separately. Start with the platform’s own definitions and retain the platform name, URL, and reporting period with each result.

Google Search: link impressions#

As documented on October 4, 2026, Google’s Generative AI performance report for Search includes AI Overviews and AI Mode. An impression records a link to the site being shown in a supported feature. The report groups data by page, country, date, or device.

Google also explains that chart and table totals can differ because of property-level and page-level aggregation. Compare the same dimensions and periods. An impression establishes display of a link; it does not establish a click or whether the generated sentence accurately represents the linked page.

Bing and Microsoft experiences: citations#

Microsoft’s AI Performance announcement describes reporting across Microsoft Copilot, AI-generated summaries in Bing, and selected partner integrations. It includes total citations, average cited pages per day, citation counts by URL, trends, and sampled grounding queries.

Microsoft states that citation counts do not reveal placement within an answer, and that the aggregated measures do not establish a page’s ranking, authority, or role. Grounding queries are a sample of citation activity. Read these results within that scope; their units differ from Google’s link impressions.

Check the answer and the activity after it#

For a manually inspected response, save the query, product, date, linked URL, and sentence associated with the citation. Read the source passage and check whether it supports that sentence, including dates and qualifications. Record an unsupported or misleading attribution separately from an accurate citation.

Use website analytics to review identifiable referrals, then track the action that matters for the page. Keep the measures distinct:

For prompt-based monitoring, define the prompts and product settings in advance and repeat observations over time. Report results as coverage of that recorded sample. A before-and-after change is evidence of a trend to investigate; establishing that a particular edit caused it requires accounting for other changes in the page, product, and query sample.

What to fix first#

Use the observed problem to choose the next action:

Keep a record of the URL, edit date, change, and subsequent observations. That record makes the next review concrete: access can be rechecked, content can be corrected, and visibility can be compared using the same measurement scope.