LLM SEO:
Build Pages Worth Citing

LLM SEO means optimizing web content for search systems that use large language models to generate answers. Google’s official guidance confirms that established SEO practices apply to AI Overviews and AI Mode.

What LLM SEO changes#

LLM SEO focuses on making a page usable as a supporting source. GEO (generative engine optimization) and AEO (answer engine optimization) are related labels for work on AI search visibility.

Google describes retrieval-augmented generation and query fan-out as retrieving indexed information to ground answers and issuing related searches to address a request.

Keep three goals explicit: making the page accessible, providing information that answers a question, and observing whether a search product links to it. Access checks establish eligibility. Content review establishes what the page contributes. Performance reporting establishes the visibility actually observed.

Make pages eligible for AI search#

Google AI Overviews and AI Mode#

Google’s AI search requirements specify indexed pages eligible for snippets. Meeting them does not guarantee inclusion.

Start with Google’s 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. The same documentation recommends Search Console’s URL Inspection tool for checking a specific URL. Check the intended public URL for access failures and unintended indexing exclusions before changing the article itself.

Also check the site’s Search generative AI control under Settings > Search generative AI in Search Console. The inclusion setting allows links and content to appear in the covered AI features. A property can inherit its setting from a parent property, so inspect the effective setting for the property being optimized.

ChatGPT search#

OpenAI’s crawler documentation distinguishes OAI-SearchBot, which supports ChatGPT search results, from GPTBot, which crawls content that may be used for model training. Their controls are independent: allowing search access does not require allowing training access.

For public pages intended to appear in ChatGPT search, review the OAI-SearchBot rules in robots.txt and whether the firewall permits OpenAI’s published search crawler IP ranges. OpenAI recommends allowing both. Its documentation says pages that opt out of this crawler will not appear in ChatGPT search answers, although they can still appear as navigational links.

ChatGPT-User serves certain user-initiated visits and does not determine search inclusion, according to the same OpenAI documentation. Use the documented search crawler control when managing automated search access.

Give important content a stable URL#

Google’s SEO Starter Guide explains that links help search engines discover pages and that descriptive link text helps readers understand the destination. Link important articles from relevant pages and navigation. Use anchor text that identifies the subject of the linked page.

For duplicate or closely similar content, Google’s canonicalization guidance identifies redirects and rel="canonical" annotations as strong signals of the preferred URL, while sitemap inclusion is a weaker signal. It also recommends consistent internal links to the canonical version.

Apply those checks to the page being maintained: confirm the canonical destination, use that URL in internal links and the sitemap, and resolve conflicting signals. Preserve a clear home for each substantive answer so updates, references, and page-level reporting can be reviewed together.

Publish information that can be checked#

Google’s helpful-content guidance asks whether content provides original information, substantial coverage, clear sourcing, and demonstrable expertise. It also encourages accurate authorship information and an explanation of how content was produced where that context helps readers evaluate it.

Use those criteria as an editorial review:

• Identify the contribution. State the information, analysis, documentation, or first-hand evidence the page adds.
• Support changing claims. Link specifications, policies, dates, and other factual assertions to the source that establishes them.
• Explain the method. Give the basis for measurements, comparisons, and conclusions. State relevant conditions and limitations.
• Name the author or publisher. Provide accurate information about who created the material and the expertise involved.
• Maintain the evidence. Recheck claims when their underlying facts change and update the substantive content accordingly.

Keep attribution beside the claim it supports. Preserve the source’s scope: documentation about Google Search establishes Google’s behavior; documentation about an OpenAI crawler establishes that crawler’s behavior. Describe recommendations as recommendations and measured results as measured results.

Make the answer easy to navigate#

The SEO Starter Guide recommends natural writing, clear paragraphs, headings, and current content. Apply that guidance to the purpose of the page. Give the direct answer early, then provide the detail needed to understand and use it.

The following editorial checks help organize different kinds of information:

Use tables for comparisons and numbered steps for procedures when those formats fit the information. Keep the supporting explanation available in the same page, and link additional material where it serves a distinct question.

Understand the limits of markup and keyword tactics#

Google’s AI optimization guide says Search ignores llms.txt and requires no special AI schema, tiny content chunks, or writing style.

Existing structured data still has documented uses. Under Google’s structured data policies, markup must accurately represent visible page content and meet the requirements of its applicable feature. Use the Rich Results Test to check technical errors; also review the visible content because automated validation does not establish compliance with every quality guideline.

Content volume needs the same care. Google’s scaled content abuse policy covers generating many pages primarily to manipulate search rankings while adding little value, regardless of how those pages are created. Give each page a substantive purpose and contribution. Consolidate repeated material when it serves the same question, and add a separate page when it supplies distinct information.

Measure visibility, visits, and completed actions separately#

Google reporting#

Google’s Generative AI performance report for Search reports impressions from AI Overviews and AI Mode, with views by page, country, device, and date. Its documented metric is impressions: how often links were shown in the covered features. Data from Search Labs experiments is excluded.

The report also distinguishes property-level and page-level aggregation. Use the same filters and grouping when comparing periods, and keep AI-feature impressions separate from measures of website visits.

Bing and Copilot reporting#

Bing’s AI Performance documentation describes citation reporting across Microsoft Copilot, AI-generated summaries in Bing, and select partner integrations. It reports total citations, cited URLs, grounding-query samples, and trends over time. Bing explains that citation counts do not establish a page’s ranking, placement, or importance within an answer.

Use the cited-page view to identify URLs for further review. Compare the information on those pages with the grounding queries reported, then check whether the pages answer those subjects clearly and accurately.

A practical measurement record#

Keep a separate record for each kind of observation:

For a repeatable manual audit, define a fixed set of queries and record the completed checks. A sample citation rate can be calculated as responses citing the tracked page divided by completed responses in that sample. Label it with the sample and product tested. This measures those observations and does not establish visibility across all requests to the platform.

Report traffic and completed actions from website data separately. A citation count measures references; a visit count measures arrivals; a completed-action count measures the event recorded. Define success in the metric that matches the purpose of the page.

Start with a page that already has a useful purpose#

Apply LLM SEO as a sequence of checks on existing content:

1. Name the target search experience. Identify the product and the questions the page answers.
2. Verify access and inclusion. Check the public URL, indexing state, crawler controls, and relevant platform settings.
3. Review the evidence. Retain supported claims, identify missing information, and add the original contribution the publisher can substantiate.
4. Improve the explanation. Put the answer early and organize the supporting information around the page’s purpose.
5. Check the URL and markup. Align internal links and canonical signals, and validate applicable structured data against visible content.
6. Record the change and results. Save the update date and reporting baseline, then review platform visibility and website outcomes using consistent definitions.

Keep a review trigger for the facts the page depends on. Product changes, revised documentation, and new research call for checking the affected claims and their sources. This makes continued maintenance part of the work of keeping a page useful as a reference.