When you talk to executives or marketing managers about AI visibility, the first reaction is often the same: "We already do SEO, that should cover it, right?"
The short answer: no.
The long answer is this article.
What classic SEO does
SEO optimises your visibility in Google search results — the blue links you see when you type a query.
The mechanism is relatively well understood after 25 years of existence:
- Google crawls web pages
- It indexes them according to hundreds of criteria (content relevance, domain authority, inbound links, user experience, structured data...)
- When a user types a query, Google ranks pages according to estimated relevance
- The user clicks on the results that interest them
In this model, the objective is to appear in a list — ideally at the top. The user then does their own selection work.
What AI engines do
ChatGPT, Perplexity, Gemini, Copilot and Claude work differently. When a user asks a question, these tools don't return a list of links — they synthesise a response.
This response is built from two sources depending on the engine:
Training data (mainly for ChatGPT): the model was trained on billions of web pages, articles, forums, documents. It has "integrated" knowledge about millions of companies, sectors and topics. When you ask it a question, it draws from this memory.
Real-time web sources (mainly for Perplexity): the engine performs a web search at the moment of the question, selects the most relevant sources, and synthesises a response from them.
In both cases, the result is a written response, not a list of links. And in this response, some companies are cited, others not.
Why your SEO isn't enough
Here's the fundamental misunderstanding I observe most often.
A company well-positioned on Google has:
- A technically clean site
- Content optimised for keywords
- Quality backlinks
- Good user experience
These elements are useful — but they are not sufficient to be visible in AI responses. Here's why.
1. AIs don't "rank" pages, they "know" companies
Google ranks your page for a given query. ChatGPT, on the other hand, "knows" or "doesn't know" your company — in the sense that it has integrated or not enough reliable information about you to be able to mention you.
This knowledge doesn't come from your SEO score. It comes from the density and quality of your external digital traces: articles citing you, directories where you're listed, studies mentioning you, social profiles describing you.
A company can be first on Google for "SEO agency Brussels" and completely absent from ChatGPT if it has no external trace outside its own site.
2. The sources AIs use aren't your SEO pages
When Perplexity responds to "which marketing agency to choose in Belgium", it doesn't go and read your optimised meta-descriptions. It looks for third-party sources that talk about you: comparisons, directories, press articles, sector studies.
These are exactly the sources that classic SEO ignores or treats as secondary (backlinks are valued, but their content rarely). For AI visibility, it's the reverse: the content of these third-party sources is paramount.
3. Perceived positioning matters more than actual positioning
Google ranks your page for a query. It doesn't comment on what you do or how you position yourself against competitors.
AI engines, on the other hand, build a representation of your company. They synthesise what all their sources say about you — and they can be wrong, simplify or misunderstand your positioning.
If your speciality isn't formulated clearly and repeatedly across all your digital presences, the AI will describe you inaccurately or generically. And an inaccurate description can be worth as much as an absence.
4. Training data has a cutoff date
ChatGPT was trained on data up to a certain date. If you pivoted, changed name, developed a new offer, or built your reputation after that date — ChatGPT probably doesn't know it.
Perplexity and Gemini are more agile since they access the web in real time. But even they depend on the presence and freshness of your external sources.
What really matters for AI visibility
If classic SEO isn't the right framework, what is?
Here are the 6 factors that really determine your visibility in AI responses, in order of importance:
1. The density of your external sources How many third-party sites talk about you? In which directories are you listed? Have you been mentioned in articles, studies or comparisons? This is factor number one — AIs can only recommend what they "know" via third-party sources.
2. Clarity and consistency of your positioning Is your speciality formulated the same way on your site, LinkedIn, directories, external profiles? AIs synthesise sometimes contradictory information — the more consistent your message, the more accurate their representation of you will be.
3. Quality and recency of your client reviews Reviews are legitimacy signals that AIs use to justify their recommendations. Recent, detailed and numerous reviews significantly increase your chances of being cited.
4. Structure and clarity of your site Not for SEO this time — so AIs understand what you do. Clear service pages, an explicit value proposition, FAQs that answer your prospects' questions: all content AIs can "read" to represent you accurately.
5. Existence of documented case studies LLMs use case studies as sector legitimacy evidence. A case study with context, problem, solution and quantified results is a strong signal.
6. Your presence on your sector's media and platforms Guest articles, interviews, cited studies, documented participation in online events: everything that creates traces on third-party sites with an audience in your sector.
What you can keep from your current SEO
SEO and AI visibility aren't antagonistic. Several elements of your SEO strategy contribute positively to your AI visibility:
- Quality content — if your articles are cited and shared, they create external traces
- Backlinks — a site that links to you talks about you, which feeds AI sources
- Technical structure — a clean, well-structured site is more easily "read" by AIs
- Structured data — schema markup helps AIs understand who you are
What you'll probably need to add to your current strategy:
- Active presence on relevant sector directories
- A strategy for obtaining recent client reviews
- Published and visible case studies
- Systematic consistency of your positioning across all your presences
- External content (guest articles, press mentions) that talks about you
The real question to ask yourself
SEO asks you: "For which query do you want to appear in Google?"
AI visibility asks you a different question: "When a prospect asks an AI who can help them with [their need], what does the AI know about you?"
These are two different exercises. The first is a question of keywords and on-site content. The second is a question of external reputation and positioning clarity.
Companies that address both dimensions in parallel will have a significant lead in the next 18 to 24 months.
To test your current visibility in AI engines, our DIY guide gives a structured method with 50+ prompts and an analysis grid. For a personalised analysis with competitive benchmarking, see the AI diagnostic.