GEO and AI Search: preparing a website for generative search

Website preparation workflow for GEO and AI search

GEO prepares content for generative search

Generative Engine Optimization, or GEO, describes work intended to improve the visibility of a source in answers produced by generative search systems. The term was formalised in the paper “GEO: Generative Engine Optimization”, presented at KDD 2024. In practical terms, the system has to find a page, interpret it correctly and identify a passage that can support an answer.

Domin Software uses the broader term “AI Search” because copy alone cannot do this job. The work also covers crawler access, HTML rendering, indexable URLs, structured data, entity consistency, evidence, internal links, performance and measurement. GEO is part of that programme. It does not replace technical SEO or a truthful description of the offer.

Where GEO, SEO and AEO meet

SEO supports visibility in conventional search results. GEO focuses on generated answers and the sources selected for them. AEO is often used for content written to answer questions directly. The boundaries overlap. A blocked page with vague or hidden content will not improve merely because it has been labelled GEO.

Google states that established SEO practices remain relevant to AI Overviews and AI Mode. It does not require a special schema type or an additional AI file. That distinction matters because many GEO claims are based on speculation. The technical foundation remains familiar, even though people ask longer questions and systems assemble answers from several sources.

How a generative system reaches a source

Generative search often combines a search index with retrieval of current documents. Google describes query fan-out, where a complex question produces several searches covering its component parts. The system gathers material, compares it and builds a response with supporting links. A focused page may therefore be useful for one precise part of a problem without covering the entire broad topic.

There are several gates. A crawler needs access. The page must be eligible for indexing and display. Its content needs to match the intent, and the source must be clear enough to support the answer. Meeting these conditions creates an opportunity, never a guarantee.

Technical access comes first

Useful copy cannot compensate for a WAF that blocks the relevant crawler, a failing server or essential text that appears only after a fragile script runs. Check the HTTP response, robots.txt, robots directives, canonical URL and content available without user interaction. Genuine translations should be connected with reciprocal hreflang links and return successful responses.

the public URL returns a successful response without a redirect loop
essential copy, headings and links exist in HTML
canonical points to the real public URL and the sitemap contains no errors or excluded pages
robots rules and server protection implement a deliberate access policy
language versions carry the same approved facts without placeholder translations

Cover the reader’s real problem

A short definition is useful, but it rarely settles a complex subject. A strong article explains the idea, its dependencies and limits, answers the questions that arise next and offers a sensible next step. Length should follow the subject. Repeating one point with new synonyms creates a long article that is still shallow.

Name entities and relationships plainly. A reader should be able to tell what DominPress is, who develops it, which mechanisms belong to the platform and which content belongs to a project. Available features, plans and project-specific configuration should remain separate. An honest boundary carries more information than a broad unsupported claim.

Evidence belongs inside the argument

Technical writing should rely on vendor documentation, specifications, primary research or repeatable measurements. A source must support the exact statement attached to it. A collection of unrelated links at the end cannot validate a number that appears in none of them.

Language models can produce convincing references that do not exist. Verify the title, author, URL and meaning of every source. State the date, version and test conditions when a result depends on them. Uncertainty should be disclosed rather than completed with a guess.

Natural writing is an editorial result

In our own editorial review, the recurring problem was rarely one suspicious word. It was a repeated mechanism: benefit, caveat and careful conclusion in almost every paragraph. The prose became smooth but lost an identifiable author. Automatic groups of three, unnamed “experts”, sweeping conclusions without evidence and several headings restating one idea have the same effect.

The remedy is to check meaning again, not to manufacture mistakes. Keep a concrete example, cite the relevant source, name the person or system responsible for a decision and delete sentences that add nothing. A detector score is only a prompt for manual review. Comparative studies of AI-text detection report unstable performance and false positives in human writing, with a documented bias against people writing English as an additional language.

Structured data must match the visible page

Schema.org can describe the page type, author, date, organisation, product, article, breadcrumbs or visible FAQ. It cannot manufacture credibility. JSON-LD that declares an unsupported feature, price, rating or producer conflicts with the page. Google does not require a separate structured-data type for generative search. Markup should reflect what the visitor can see.

Information architecture helps retrieval

A heading should say what follows. A paragraph that begins with the answer is easier to understand than a long introduction that hides the point. Lists belong where items genuinely form a list, and tables work when the same fields are being compared. Avoid turning every small thought into a separate section.

Internal links explain relationships. A GEO article should lead to the platform implementing the technical layer, while the platform page can lead back to the detailed guide. Link text should name the destination rather than saying “click here”.

Freshness needs an owner and a process

Provider guidance, crawler names and reporting methods change. A publication date is not enough. Record which claims depend on external documentation, when the source was last checked and what needs review after changes to the CMS, routing, robots policy or language versions.

Updating means reopening the sources, checking the links, removing obsolete advice and confirming that the conclusion still follows from the evidence. If a fact changes, every published translation needs review.

Performance still matters

A visitor arriving from an AI answer should quickly reach the material that justified the click. Oversized images, layout shifts, intrusive overlays and a poor mobile view waste that opportunity. Performance does not guarantee discovery, but a slow page can lose a visitor who has already been won.

Crawler controls need deliberate choices

Search access and model training are not always controlled by the same mechanism. OpenAI describes OAI-SearchBot as its search crawler and explains that blocking it limits the use of content in ChatGPT summaries and snippets. Providers use different rules and identifiers, so current official documentation should guide configuration.

DominPress can generate llms.txt to organise important public URLs and their context. The file is not a universal requirement for AI answers. Google explicitly says that its generative Search features do not require an additional AI file. Treat llms.txt as a controlled supplement, not a shortcut around indexing and useful content.

What GEO cannot repair

scaled pages that reshuffle words while answering the same intent
lists of chatbot names added to pages where they are irrelevant
invented statistics, customers, reviews, features, prices or references
structured data that contradicts the visible page
blocked indexing, incorrect canonicals and placeholder translations
promises of ranking, indexing or citation that a publisher cannot control

Measure outcomes without pretending certainty

Start with indexing, crawl errors, query visibility, visits to the intended pages and what users do after arrival. Google includes AI Overviews and AI Mode traffic in the “Web” search type in Search Console, so it cannot always be isolated. OpenAI documents referral traffic from ChatGPT that can be observed in analytics. Tie these signals to the actual page outcome, such as an enquiry, product visit or download.

Generated answers vary between prompts and system versions. Testing a few questions is useful observation, not a complete measurement. Keep a stable set of representative user problems, repeat checks under comparable conditions and distinguish a brand mention from an actual link to the source.

What DominPress provides

DominPress organises the shared technical layer: server-side rendering, managed metadata, canonical and hreflang, multilingual image sitemaps, robots.txt, llms.txt, page-appropriate structured data, language versions and audits of final public URLs. Each project dataset remains the source of its copy, brand relationships, settings and media.

The separation is deliberate. A platform can enforce sound publication mechanics, but it should not invent evidence or fill an offer with generic claims. Content still needs subject knowledge, approved facts, verified sources and editing in every language. The DominPress page describes the technical foundation.

A practical workflow

define the audience, main question and decision enabled by the article
collect owner-approved facts and primary sources, keeping current facts separate from plans
check whether an existing page already satisfies the same intent
write a complete draft, then remove repetition, vague claims and automatic flourishes
add direct source links and useful internal paths
align title, description, headings, visible copy and JSON-LD
verify only the changed URLs and locales, then monitor indexing and traffic after release