Contradictory data
Different descriptions and contacts across sources — the model picks at random.
GEO / AEO
Some people no longer scroll through ten links — they read a ready answer in AI Overviews, ChatGPT or Perplexity. GEO is the work of making sure your brand and your data are in that answer, not only your competitors’.
Not a “trick to get into ChatGPT”, but systematic work on the data that AI reads from public sources.
Generative systems have no access to your CRM. They assemble a picture of your brand from what you published publicly: site pages, markup, mentions and repeated wording. If that data is contradictory or missing, the model simply quotes somebody else.
Let us define the terms
| Question | SEO | AEO | GEO |
|---|---|---|---|
| Where it works | Classic results | Answer blocks | Generative systems |
| What it optimises | A page for a query | The answer format | Data about the brand |
| Main outcome | A visit to the site | An answer displayed | A mention and a citation |
| Key requirement | Technical foundation | Clear structure | Consistent facts |
| How it is measured | Rankings and traffic | Impressions in blocks | Presence in answers |
Scope of work
Key sections open with a short answer instead of three paragraphs of run-up.
Complex concepts explained in plain words — those are exactly the fragments that get quoted.
Lists, steps, comparison tables and FAQs where they genuinely belong.
Organization, Service, FAQPage and BreadcrumbList with stable identifiers.
One name, one description, one set of contacts — on the site, in the markup and in external sources.
Content has to be in the HTML, not appear only after scripts have run.
Honestly stated conditions and boundaries of a service build trust with both models and people.
We check how assistants describe your brand and fix the sources of any discrepancies.
What gets in the way
The assistant confuses you with another company, lists services you do not offer, or has never heard of you. The cause is usually simple: scattered data, missing markup and copy from which no unambiguous answer can be extracted.
Different descriptions and contacts across sources — the model picks at random.
The copy reads like a brochure rather than an explanation.
Anything that appears after JavaScript runs often goes unread.
Our approach
FAQ
GEO (Generative Engine Optimization) is the work of making generative systems such as ChatGPT, Google AI Overviews, Gemini or Perplexity understand your brand correctly and use your material in their answers. The foundation is consistent data, clear wording and structured data.
SEO works on a page’s position in the results and on the click through to the site. GEO works on getting you mentioned and quoted inside a generated answer — even when no click follows. They share a technical foundation but differ in content format.
AEO (Answer Engine Optimization) prepares content to appear in direct-answer blocks: featured snippets, knowledge panels, voice search. In practice it means a short, specific answer at the top of a section and clear structure below it.
No. We control neither the training data nor the source-selection algorithms. What we can do is remove contradictions in your data, give models unambiguous wording and markup, and improve the odds that you are the one quoted.
Above all businesses with a complex decision, where people ask a lot of questions before buying: services, B2B, equipment, medical and legal fields. That is where assistants are used at the comparison stage.
No. Most of the work — clearer structure, definitions, markup and speed — is equally useful for ordinary results. These are not two competing approaches but two formats for presenting the same content.
Services
Let's talk
Even if you do not end up needing our services. One conversation, after which you have a clear next step.
Let's talk
Leave a contact that suits you. We reply to the point, without the sales deck.
01 Briefly about the project
02 Preferred contact channel
03 Next step