GEO — Generative Engine Optimization

Your customers already ask ChatGPT about you. What does it answer?

69% of searches end without a website visit. Where AI answers, organic CTR nearly halves. The new discipline is GEO: making AI search cite your brand — not your competitor.

69%zero-clickof searches end without a click (Similarweb, 2025)
−46.7%organic CTRon queries answered by AI Overviews (Pew, 2025)
+115%citation liftfrom external citations (Princeton GEO study)
12–18 mofirst-mover windowno native GEO players in MD/RO

— 01 / What changed

Not «new SEO». A different discipline

SEO optimizes pages for ranking. GEO optimizes content for retrieval and citation inside LLM answers. Different unit of output, different mechanics, different platforms.

Traditional SEOGEO
Unit of outputPage position in SERPCitation in an AI answer
Source selectionCrawl + index + rankingLLM retrieval + reranking
PlatformGoogleChatGPT · Perplexity · Claude · AI Overviews · Gemini
Funnel positionTop-of-funnel awarenessMid-bottom funnel: category known, picking a vendor

— 02 / Data, not opinions

What raises your odds of being cited

The Princeton GEO study is the largest research on citation factors in generative engines. Some findings contradict SEO instincts.

+115%

External citations

Mentions in authoritative external sources — the strongest citation factor.

+41%

Statistics in copy

Concrete numbers with sources improve content retrievability.

+28%

Expert quotations

Attributed direct speech — the third strongest factor.

−10%

Keyword stuffing

Over-optimization lowers citation odds. Counter-intuitive — and measured.

— 03 / The product

GEO Audit — 3 weeks, 3 layers

A diagnostic, not a «promotion» subscription. In 3 weeks you have numbers: where you are cited, where your competitor is, and a 90-day plan.

Week 01

Baseline

Brand citation rate across 5 engines: ChatGPT, Perplexity, Claude, AI Overviews, Gemini. Topic coverage map and competitive citation share.

Week 02

Footprint

External trail: where you are mentioned — Wikipedia, press, Reddit, podcasts. Schema markup and authority signals.

Week 03

On-site

Retrieval-ready structure: 100–300-word chunks, semantic HTML, FAQPage schema, llms.txt, anti-patterns.

Output: a 15-page report + a 90-day GEO roadmap. Implement it yourself — or with us.

— 04 / Pricing

Three formats

No discounts, no «special terms». One format — one price.

GEO Audit

€2,500

one-time · 3 weeks

Baseline + footprint + on-site. Report and 90-day roadmap. You implement it in-house.

Discuss

GEO Foundation

€2,500

per month · 3 months min

Audit + foundation roll-out: llms.txt, schema markup, retrieval restructure of top-10 pages.

Discuss

GEO Full

€4,500

per month · 6 months min

Foundation + 8–12 GEO content pages + monthly iteration on citation share.

Discuss

The success metric is not «traffic grew» but citation rate: how often AI engines cite your brand in category answers. First measurable movement — 60–90 days.

— 05 / Honesty over the deal

Who does not need GEO yet

Businesses under €500K revenue

GEO brings quality traffic, but volume is modest for the first 6–12 months. Payback channels come first.

Sites without SEO foundation

No titles, meta or sitemap — start with traditional SEO: cheaper and faster. Begin with the SEO + GEO sprint.

Strictly regulated industries

Banking and healthcare need a legal layer over AI content. Without legal partnership we pass.

— 06 / FAQ

The questions founders ask first

How is GEO different from SEO?+

SEO optimizes pages for Google rankings. GEO optimizes for citation inside AI answers: ChatGPT, Perplexity, Claude, Google AI Overviews. A different unit of output (citation, not position), different factors (Princeton: external citations +115%, keyword stuffing −10%) and a different funnel position: the AI user already knows the category and is picking a vendor.

I rank top-3 on Google. Why would I need GEO?+

Google positions do not transfer into AI answers automatically. LLMs select sources via retrieval and reranking — different signals: external citations, content structure, schema markup. Top-3 Google brands are routinely absent from Perplexity answers in their own category. Checking takes one day — it is part of the baseline audit.

How do you measure results?+

Citation rate: the share of AI engine answers to category prompts that cite your brand. Measured across 5 engines before the start, then monthly, plus share-of-voice against competitors. A visibility metric for the new search — not vanity traffic.

When do results show?+

First measurable citation rate movement — 60–90 days after the foundation roll-out. Slower than paid ads, faster than classic SEO. The advantage of the moment: no one in MD/RO has claimed the category yet.

What is llms.txt?+

A 2026 standard: a structured description of your site for language models — what the company is, which pages matter, what to cite. Like robots.txt, but for AI engines. Included in GEO Foundation. It is already live on mrktr.pro.

Why not wait a year for the market to mature?+

Citation share compounds: engines cite more often those who are already cited. Whoever claims the category in MD/RO first gets protected by algorithmic inertia. Our estimate of the window — 12–18 months.

First step

Find out what AI answers about your category

30 minutes: we run category prompts through ChatGPT and Perplexity live and see who gets cited. If it is you — we will say honestly that GEO is not your priority yet.