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Blog · AI visibility

Appearing in ChatGPT: what are your website's priorities in 2026?

Eight areas to help choose your priorities: content, sources, website access and measurement. No system guarantees a citation.

How to appear in ChatGPT answers in 2026: an LLMO guide to sources, official profiles and structured data
By Hani Kanaftchian · Published on 30 April 2026 · Reading time: ~12 min · Category: LLMO / AI visibility

This guide helps you decide what to check and prioritise for your business's visibility in ChatGPT answers. For files, tags and code examples, use the technical tutorial on preparing your website for AI assistants.

AI-enhanced assistants and engines can display links to web pages. Their selection varies according to the product, query, available index and each platform's rules. A Google ranking therefore does not guarantee a citation in ChatGPT or Perplexity, and the reverse is no more guaranteed.

Google states that its generative AI features still rely on SEO fundamentals. OpenAI and Perplexity, meanwhile, publish their crawler identities. This official foundation distinguishes verifiable actions from speculative formulas often grouped under the terms AEO, GEO or LLMO.

Area 1

Make the business identifiable without inventing recognition

Make the business identifiable
Your business
  • Identity Name, activity and contact details clearly presented.
  • Official profiles References that allow the organisation to be verified.
  • Content Useful, attributed and documented answers.
  • Observation Dated tests to monitor mentions that are actually visible.
Consistent, verifiable information, without a promise of appearing in an answer.

Start with consistent information across the website, business listing, official profiles and relevant professional registers. A Wikidata entry is neither a prerequisite for indexing nor a guarantee of visibility. It should only be created if the entity meets the project's rules and can be supported by reliable independent sources.

In Organization markup, use only accurate properties and sameAs links to profiles actually controlled by the organisation. Markup helps make content explicit, but Google states that no special structured data is required for its generative results.

Before adding a new external presence, check for duplicates, eligibility rules and source quality. Do not create a Wikipedia or Wikidata page solely for SEO.

Area 2

Treat llms.txt as an experiment

llms.txt is a community proposal, not a standard equivalent to robots.txt. Google explicitly states that it does not use this file for Search and that its presence neither helps nor harms rankings or visibility in its AI features.

Kanexio publishes a summary file and an extended version as supplementary reading formats. Their content must remain consistent with public pages, without unproven metrics.

If you test it, measure file access and observed references separately. A crawler visit proves neither use of the content nor a future citation. For implementation, see our tutorial on optimising your website for ChatGPT and Perplexity.

Area 3

Enriched Schema.org JSON-LD on every page

Structured data explicitly describes a page's type and some of its properties. It can contribute to eligibility for rich results but does not turn information into certainty or guarantee that an assistant will use it.

Use only relevant, documented types, such as Organization, LocalBusiness, Article or Service. Do not add FAQPage or aggregateRating automatically: data must match visible content and follow the target engine's rules.

Check: use Google's Rich Results Test to validate each schema. Common errors: missing @context, missing required properties and invalid types.

Area 4

Build authority through trade press mentions

Independent, relevant and authentic sources make a business more verifiable. These may include trade publications, professional bodies, official registers or federations genuinely related to the activity.

Publish analysis grounded in real experience, then document the coverage obtained. Avoid buying mentions or making artificial comparisons of link value: no universal equivalence exists.

Area 5

Optimise for AI readability (stronger E-E-A-T)

E-E-A-T summarises the concepts of experience, expertise, authoritativeness and trustworthiness used in Google's quality evaluation guidelines. It is not a public score or a universal formula for other platforms. The following practices nevertheless improve reader trust:

  • Experience: a detailed About page with the founder's background, dates and concrete experience (no corporate bullshit)
  • Expertise: an identified author on every article (not “by our team”), a short biography and a LinkedIn link
  • Authoritativeness: independent sources, professional mentions and relevant citations where they exist
  • Trustworthiness: verifiable identity, sources, limitations, direct contact and privacy information
Area 6

Pillar content with cited sources

There is no ideal length. Google recommends original, useful content structured for readers. A page should be as long as necessary to explain the subject, distinguish facts from analysis and link important claims to primary sources.

A short but original page can be more useful than a long article repeating generalities. Measure visibility and engagement rather than targeting a word count.

Area 7

Structured FR/NL/EN multilingual content

For a Brussels business, FR, NL or EN versions can serve distinct audiences. Publish only languages you can maintain properly, with separate URLs, consistent hreflang annotations and translations reviewed in context.

A quick improvement for the 5 most important pages: NL and EN translations with local context (mentions of Brussels + Belgium in EN, Brussel + België in NL).

Area 8

Monitoring + monthly iteration

Combine data available in Search Console, referrals in analytics and a small set of queries tested at regular intervals. Personalised or variable answers must not be presented as a stable ranking.

Example test queries for a Brussels energy performance certification practice: “best PEB expert Brussels 2026”, “quick PEB certificate in Anderlecht”, “how to choose a PEB certifier”. If your brand does not appear, first examine the consistency of public information, independent sources actually available and SEO fundamentals. A third-party listing is never an automatic priority.

Assessment

What results can you expect, and when?

No public timetable can guarantee when a page will be used or cited. Some experiences rely on recent web search, while others depend on the product and context. A citation can appear, disappear or change from one query to the next.

The right objective is therefore verifiable: make pages accessible, publish original and current information, consciously allow or block documented crawlers, then measure references without promising a timeline or ranking.

LLMO is only one of the three AI visibility disciplines: for the full AEO + GEO + LLMO picture and how they relate to traditional SEO, see our 2026 generative AI search visibility guide.

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If you want to audit your current LLMO level and identify the 3 priorities for your SME, I offer a free 30-minute video audit. PDF summary sent within 48 hours.

For a clearer understanding

This article's glossary.

Technical terms, simply explained.

24 terms
AEO
A market term for work aimed at direct answers in engines or assistants. It does not denote a certification or a method that guarantees citation.
Analytics
Measurement and analysis of website use: visits, pages viewed and actions taken.
Audit
A structured examination of a website or process to identify problems, gather evidence and set priorities.
Structured data
Information organised in code to describe an entity, product or content clearly to software.Documentation
E-E-A-T
Experience, expertise, authoritativeness and trustworthiness: reference points used in Google's quality evaluation guidelines. It is not a public score to achieve.
GEO
A market term for practices aimed at the presence of a brand or content in generative answers. Results vary between platforms.
Google Business Profile (GBP)
A Google listing presenting an eligible business's information, including in Search and on Maps.
Google Search Console
Google's tool for viewing, among other things, a website's crawling, indexing and performance in its search results.
hreflang
An annotation connecting versions of a page intended for different languages or regions.
Generative AI
A family of systems that produce text, images or other content from an instruction and context.
Indexing
Recording a page in an engine's index after analysis. An indexed page is not guaranteed to appear for a given search.Documentation
Artificial intelligence (AI)
A set of techniques that enable software to perform tasks such as classifying, predicting or producing content. Their outputs require appropriate review.
JSON-LD
A format for embedding linked structured data in a document, often through a code block on a page.Documentation
LLM
Large language model: a system trained to process and produce text. It can formulate a convincing but inaccurate answer.
LLMO
A market term for practices intended to help systems based on large language models understand or use content.
llms.txt
A proposed file presenting useful website content to AI systems. Its presence guarantees neither reading, citation nor ranking.
Monitoring
Regular observation of a system or indicators to detect changes and problems.
PDF
A document format that preserves layout. A PDF is not, by itself, a structured invoice format.
robots.txt
A file that tells compatible crawlers which parts of a website they may crawl. It is neither a password nor a guarantee of removal from the index.
Schema.org
A shared vocabulary for describing people, organisations, articles or products using structured data.Documentation
SEO, organic search optimisation
Work on a website and its content to help engines understand them and people find them in organic search results.Documentation
Schema.org types
Labels in the Schema.org vocabulary: Organization describes an organisation, LocalBusiness a business, FAQPage an FAQ, aggregateRating an aggregated rating and sameAs an equivalent identity.Documentation
URL
The address of a resource on the web, such as a page, image or document.
Wikidata
A collaborative structured database. Its identifiers distinguish entities such as a person, organisation or place.

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