When people ask AI instead of Googling, does it recommend you?
A growing share of buying research now happens inside a chat window, not a search results page. When someone asks ChatGPT, Perplexity or Google's AI Overview "who's a good [your service] near me," the model gives one answer, not ten blue links — and if your business isn't part of what it knows, you don't just rank lower, you're invisible. This is Generative Engine Optimization (GEO): the discipline of making a brand legible, citable and trustworthy to the AI systems that increasingly stand between your customer and their decision.
Our track record across Google & Meta Ads
- managed ad spend
- ₺12M+
- managed ad spend
- avg ROAS
- 4.7×
- avg ROAS
- cost per lead
- −41%
- cost per lead
- qualified leads
- +327%
- qualified leads
How it differs from traditional SEO
Traditional SEO optimizes for a ranking algorithm that returns a list of links a human then clicks through. AI answer engines don't return a list — they synthesize one answer from many sources and present it as fact. That reward structure is different: instead of winning a click, you're trying to become part of the small set of sources the model trusts enough to cite or paraphrase.
That means the same technical SEO foundation still matters (structured data, fast and accessible pages, clear site architecture — everything we already build), but the content layer on top of it has to change: short, direct, quotable answers near the top of a page; consistent facts about your business repeated the same way across every place they appear online; and a real presence in the third-party sources — review sites, directories, press, forums — that these models cross-reference to decide what's trustworthy.
What we actually do
We audit how ChatGPT, Perplexity, Gemini and Google AI Overview currently describe your business and your competitors for the questions your buyers actually ask — then track that share of voice over time, the same way we track ad performance. We restructure key pages into a format these models can parse cleanly: direct answers, FAQ blocks with FAQPage schema, consistent NAP and service facts. And we work on the off-site signal — the mentions, reviews and citations that give a model independent confirmation of what your own site claims about itself.
What we actually do
- AI answer audit — how ChatGPT/Perplexity/Gemini describe you today
- Share-of-voice tracking against named competitors, over time
- Content restructured for direct, quotable, citable answers
- FAQPage, LocalBusiness and Article schema across key pages
- Consistent brand-fact and NAP alignment across the web
- Third-party mention and review building for cross-source trust
How do you measure something as fuzzy as "AI visibility"?
We run a fixed set of real buyer questions against ChatGPT, Perplexity and Google AI Overview on a schedule, log whether and how you're mentioned versus named competitors, and track that trend the same way we'd track keyword rankings — it's noisier than classic SEO tracking, but it's not guesswork.
Will this replace our Google Ads or SEO work?
No — it sits alongside them. Paid search still captures people ready to buy right now; AI visibility captures the earlier research conversation that increasingly happens in a chat window instead of a search box.
How fast can we expect results?
AI models retrain and re-index on their own schedules, not ours, so this moves slower than a paid campaign — expect a quarter, not a week, before share-of-voice shifts are clearly measurable. We report the trend honestly rather than promising a date.
Ready to scale?
Let's identify what's holding your campaigns back — and what it would take to fix it.
30-minute audit · no retainers to start