Landing page SEO and AI search: a practical guide

How people find a page through search

Landing page SEO helps search engines discover and understand a page that answers a useful query. AI search optimization, sometimes called AIO, AEO, or GEO, concerns visibility in answers that draw on web sources. The terminology varies. Start by explaining the offer or subject in a public page and supporting its claims with evidence.

Google’s AI-features documentation says supporting links need to be indexed and eligible for a search snippet. Its newer optimization guide also points to a Search Console setting for inclusion in generative AI features. Check the current setting in your verified property.

Sources: Google Search Central: AI features and your website; Google Search Central: Google’s guide to optimizing for generative AI features

Decide which pages should be discoverable

A public product page, service page, or article that answers a customer’s question can deserve a lasting search destination. An unpublished draft, account screen, or temporary preview usually does not. Decide that boundary first. Give useful public pages stable URLs and real internal links, and make sure the page returns the appropriate HTTP status.

Check whether robots rules, noindex directives, login requirements, or a firewall prevent intended access. Keep private material behind authentication; search directives are not privacy controls. For public pages, ensure the important explanation is readable in the page’s text, and that the preferred URL agrees with internal links and the sitemap.

Publish facts and examples you can substantiate

Original material is more useful than another summary of common advice. For an examples article, show the page and explain the decisions behind its design. Foldwave’s commute scene, bag categories, and construction details give a critic something specific to discuss.

For a real product, publish the specifications and limitations someone needs to compare it. For a service, explain scope, location, and the first step. For an article, answer the reader’s main question early and support claims with the source that actually establishes them. Google’s helpful-content guidance emphasizes original value.

Source: Google Search Central: Creating helpful, reliable, people-first content

Structure the explanation around the reader’s questions

Use a descriptive title, one clear main heading, and sections that follow the decision. Put related facts together. A comparison benefits from a table when its rows have real differences; a short sequence benefits from a list when the order matters. A paragraph should explain a point rather than hold a handful of near-identical search phrases.

Microsoft’s publisher guidance recommends clear, self-contained explanations and specific supporting details for AI search. Google says pages do not need mandatory chunking or a special writing style for its generative features. Write complete explanations with enough detail to answer the reader’s question.

Sources: Google Search Central: Google’s guide to optimizing for generative AI features; Microsoft Advertising: Optimizing your content for inclusion in AI search answers

Use accurate metadata; skip unsupported shortcuts

Give each page an accurate title and description, and use structured data that matches the visible content and the relevant feature requirements. An article can describe its real title, author, dates, and publisher.

Google’s current optimization guide says its Search systems ignore llms.txt for visibility and ranking, and that no special AI schema is required. Such a file can still have a purpose for other tools that use it. Do not create a page for every slight query variation or change publication dates merely to make old material look new.

Source: Google Search Central: Google’s guide to optimizing for generative AI features

Treat search crawling and training as separate choices

OpenAI documents OAI-SearchBot for search discovery and GPTBot for content that may be used in model training. ChatGPT-User handles certain visits initiated by users and is a different mechanism. If you manage crawler rules, read the current documentation and make each decision deliberately instead of treating all AI traffic as one category.

A general rule may already permit public crawling. Adding a named crawler group is not inherently an optimization, and a careless group can override restrictions you intended to keep. After changes, inspect both the published rules and actual edge access.

Source: OpenAI: Overview of OpenAI crawlers

Measure discovery, visits, and business outcomes separately

Search Console’s current Generative AI performance help describes impressions from AI Overviews and AI Mode. Check whether the report is available for your property and has enough data before drawing conclusions. Bing’s AI Performance reporting describes citations and cited pages across supported surfaces. Those measures describe visibility, not automatically a visit or a sale.

Track the useful actions visitors take after arrival: qualified inquiries, purchases, or another outcome appropriate to the page. Keep an annotated record of content and technical changes so you can investigate shifts without assuming causation. Use query and page data to find unanswered questions worth addressing. Record what you changed and compare the later data with the question you were trying to answer.

Sources: Google Search Console Help: Generative AI performance report for Search; Bing Webmaster Blog: Introducing AI Performance in Bing Webmaster Tools