Generative Engine Optimization (GEO): Becoming the AI's Source
Generative Engine Optimization is the work of getting generative AI engines such as ChatGPT, Gemini, Perplexity and Google AI Overviews to use and cite your site as a source when they compose answers. Bot access, citable content structure, source and data presentation, brand consistency and platform-level measurement are all in scope. Classic SEO ranks your page; GEO gets you inside the answer the AI writes.
// Who is Generative Engine Optimization for?
Generative Engine Optimization is for businesses in sectors where customers research with AI: B2B services, software, consulting, healthcare, education, technical products. Generative engines do not show a single page; they combine several sources and write an answer, and if you are not among the sources you are not in the answer and the customer never sees you. If any of the following sounds familiar, you are on the right page.
- Perplexity or ChatGPT cites competitors' pages when describing your sector
- Your site has little data, few tables and few clear definitions; the content is long narrative
- AI bots are blocked in robots.txt or not defined at all
- AI-driven visits do not appear in your reports
We apply the same method to a single-service firm and a multi-product brand; only the number of tracked questions and restructured pages change.
// What is included and what is not
The service comes as an initial project or a monthly tracking plan. The table below lists what each includes and what stays outside, line by line. GEO and AEO are often confused: AEO targets the direct answer box for a single question, GEO targets being among the sources of a generated answer; the two can be planned together and the boundary is written in the quote.
| Work | Initial project | Monthly tracking |
|---|---|---|
| GEO scan: 30 questions on 5 platforms, source analysis | Included | Included |
| AI bot access: robots.txt, llms.txt, crawl blockers | Included | Included |
| Citable structure: definitions, data, tables, sources (first 10 pages) | Included | Excluded |
| Original data and research content recommendations | Included | Included |
| Organization, Article and Dataset schema | Included | Included |
| Brand and author consistency (external sources) | Included | Included |
| Monthly source-citation measurement and report | Excluded | Included |
| New content recommendations (questions left without a source) | Excluded | Included |
| Restructuring beyond 10 pages | Priced separately | Priced separately |
| Producing original research and data content | Priced separately | Priced separately |
| Classic ranking work | Excluded | Excluded |
| Advertising and sponsored answers | Excluded | Excluded |
Direct answer boxes are described separately on the Answer Engine Optimization page.
// How does it work and how long does it take?
The initial project takes 3 to 4 weeks; monthly tracking then runs as a cycle. Generative engines refresh their source selection at different speeds: access fixes show within 2 to 4 weeks, content structure and original data within 4 to 10 weeks. Measurement repeats every month with the same 30 questions and the source list is compared.
GEO scan (1 week)
30 questions are asked on 5 platforms; which sources are shown and why your pages are not chosen is analysed
Access (2 to 3 days)
AI bot access is opened, llms.txt prepared and crawl blockers removed
Structure and data (1 to 2 weeks)
The first 10 pages are restructured with definitions, data, tables and sources; schema is set up
Consistency (1 week)
Brand and author information is made consistent across external sources
Measurement (monthly)
Source citation rate on the same questions, competitor sources and AI-driven visits are reported
// How is the price determined?
Three variables set the price: number of questions and platforms tracked, number of pages restructured and whether original data content is needed. A consultancy starting with 30 questions and 10 pages and a software brand with 150 questions and 60 pages do not carry the same workload, so we quote from the GEO scan rather than a fixed list. The scan is free and the quote is fixed once it is done.
Monthly tracking has no contract. In the Zep Bilisim AI plan the GEO scan and access configuration are included; page restructuring and original data production are shown separately.
// Results we have delivered
The three cases below represent different sectors. We do not share client names without permission, so sector and scale are given instead; figures come from monthly measurements with the same question set and from analytics. In all three the classic ranking did not change; source citations rose and the result was tracked in the Zep Bilisim monthly report.
- Consultancy — 1 source citation across 30 questions; 10 weeks after access and structure work it became a Perplexity and ChatGPT source in 16
- Software brand — A sector comparison table and original usage data were published; within 3 months it was cited in "which tool" questions on 4 of 5 platforms and AI-driven demo requests rose from 0 to 22 a month
- Education provider — 40 guides were marked with llms.txt and Article schema; the number of pieces cited in Gemini rose from 2 to 19
Generative AI does not pick the most-read page; it picks the page it can cite with the most confidence: clear definition, real data, open sources, named author.
// The team behind the work
The work is carried out by Caner Zep Çelik, founder of Zep Bilisim. As founder and technical consultant he has worked on search visibility, content structure and web infrastructure since 2020 and has been involved in more than 100 projects. He runs the GEO scan, the access configuration and the restructuring himself and does not outsource the work.
The monthly report is written by the same person: which platform cited which of your pages for which question, which sources competitors were chosen for, and which content is added next month. The report stays with you as the record of generative AI visibility.
// When is it not needed?
If customers in your sector do not research with AI, for example in purely urgent and local needs, the return is limited; we say so plainly in the scan and point you to local SEO. If the site is invisible on Google, generative engines cannot find it either; a classic ranking foundation comes first and we set that order accordingly.
If the site has no original information worth citing, restructuring is not enough; content is produced first, and that order is written too.
Google's AI features and your website documentation explains from the official source the technical requirements for appearing as a source in generated answers; our access and structure rules are aligned with it.
// Frequently Asked Questions
No. AEO aims to win the direct answer box, voice assistant answer and "People also ask" box for a single question; GEO aims to be among the sources of the long answer that engines like ChatGPT and Perplexity generate. The methods overlap, but measurement and priorities differ. The scan states with reasons which one your sector needs first.
Usually one of four reasons: bots cannot reach your site, the page lacks a clear definition and data, brand and author information is inconsistent, or the competitor's page is easier to cite. The GEO scan shows question by question which reason dominates; why each question was lost is reported next to the competitor's source and the fix order is set from that.
llms.txt is a summary and content map of your site prepared for AI systems; it lists in plain text what each page covers. Not every platform reads it yet, but it eases access and content discovery at low cost. It is prepared in the access step, published alongside robots.txt and updated as content changes.
Figures and comparisons that exist nowhere else and belong to your sector: anonymized statistics from customer data, price ranges, duration tables, your own measurements. Generative engines prefer to cite original data because they cannot get it elsewhere. The initial project recommends which data could be produced; production is priced separately and the decision is yours.
Access fixes take effect within 2 to 4 weeks; content structure and original data take 4 to 10 weeks. Perplexity updates fastest, ChatGPT slowest. The monthly report tracks source citation rate per question; the target for the first 3 months is written in the quote after the scan and progress is shown in every report.
Yes; visits from ChatGPT, Perplexity and other platforms are defined as a separate channel in analytics, and the setup is included. That way the report tracks on its own line whether being cited turns into real visits, form enquiries or demo requests. That data is the basis of budget decisions and is shown to you.
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