Hizmet
AI Search Optimisation (GEO)
Getting your brand into the answers given by AI tools such as ChatGPT, Gemini and Perplexity.
- ChatGPT
- Gemini
- Perplexity
- AI Overviews
- llms.txt
Some users no longer go to Google and scan ten blue links; they ask an AI directly and get a single answer. If your brand is not in that answer, you do not exist for that user. GEO (Generative Engine Optimisation) targets exactly that visibility. It does not replace classic SEO — it sits on top of it and rests largely on the same foundation: clear, verifiable, citable content.
What we do
Content structured to be quoted
AI models prefer to cite clear definitions, lists and tabulated data. Content is restructured into that shape.
Structured data
Organization, FAQPage, Article and Product schemas make it easier for models to interpret the content correctly.
Entity consistency
Brand name, address and areas of expertise are made consistent across every source, so the model recognises the brand as a single entity.
Visibility tracking
A defined set of questions is queried regularly on ChatGPT, Gemini and Perplexity, and we report whether the brand appears in the answers.
How we work
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01
Question map
The real questions people ask AI tools in your sector are identified.
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02
Gap analysis
We look at who currently answers those questions and why they were chosen.
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03
Content and schema
Citable content is produced and structured data is marked up.
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04
Measurement
The queries are repeated periodically and changes in visibility are reported.
Success Story
Campaign structure rebuilt, cost per lead down 25%.
The Google Ads account was rebuilt from the ground up. Conversion tracking and Enhanced Conversions were set up again. Optimising the lead campaigns brought in more enquiries on the same ad budget.
Read the case study- −25%
- CPA
- ↑ Belirgin
- Leads
- Yeniden Kuruldu
- Conversion tracking
Frequently asked
Is GEO replacing SEO?
No. AI tools also draw largely on the web; technical SEO and content quality are still the foundation. GEO is a layer added on top of that.
How are results measured?
We put a defined set of questions to the models regularly and record whether the brand appears as a source in the answers. This measurement is not as precise as classic rank tracking; models can give different answers to the same question.
How long until we see results?
The data refresh cycles of the models vary. We usually observe the first changes within two to four months.
Is llms.txt necessary?
It is not yet a universal standard, but it costs little. We set it up; it does no harm and may pay off later.
Let's talk about AI Search Optimisation (GEO)
We review your account against 42 checkpoints and come back with concrete findings. Free, no commitment.