Generative Engine Optimization - become the evidence AI systems cite
GEO does not compete for a place in a results list. It makes a brand legible enough for a model to use it as evidence when it answers a buying question.
Pillars of the method
Category to start with
Answers recorded
The method
Three pillars of GEO
Each pillar addresses a different reason a model omits a brand.
Data injection
Creating and restructuring content so it can be cited: proprietary data, documented examples, question-and-answer passages and explicit sources.
Citation engineering
Building mentions of the brand in the sources AI systems treat as authoritative - industry publications, professional networks, expert communities and reference works.
Brand gravity
Strengthening how consistently a brand is represented across sources. The more coherent a model's picture of a company, the more confidently it can recommend it.
Comparison
SEO vs GEO
Different objectives, overlapping foundations.
Qualification
When GEO is worth starting
GEO rewards companies that can publish facts, not only claims.
When this makes sense
- You have an expert offer and want AI systems to be able to cite or reuse it in an answer.
- You create or refresh service pages, documented examples, comparisons and educational content.
- You want to tidy up the brand entity: structured data, named authors, definitions, sources and external mentions.
- You want to move before competitors who still work only on conventional SEO.
When it is too early to start
- Your content is thin and sales-led, and you do not plan to add data, examples or FAQs.
- You cannot keep information about the brand consistent across multiple sources.
- You expect that adding llms.txt or structured data alone will produce recommendations.
- You have no capacity for regular content updates or for monitoring model answers.
FAQ
Questions about GEO
GEO is the practice of improving how a brand appears in answers generated by AI systems - ChatGPT, Perplexity, Google Gemini and AI Overviews, and Claude. It complements conventional SEO. Instead of competing for a position in a list, the objective is for the model to cite or recommend the company inside its answer.
SEO optimises a site for Google's ranking algorithm - links, keywords, page performance. GEO optimises content for how models assemble answers: citability, third-party mentions and structured data. SEO earns a place in a list; GEO earns a place inside an answer. The strongest results come from combining both.
No. GEO builds on SEO, because models draw on indexed content and web sources. A company needs a coherent strategy covering classic results, AI answers and content that can be independently verified.
The category-fit assessment is free. An AI Visibility Snapshot is PLN 1,500-2,900 net, a strategic audit PLN 2,900-4,900 net, an AI Recommendation Sprint PLN 8,900-19,900 net, and continuous monitoring PLN 2,900-7,900 net per month.
There is no universal timeline. Pace depends on indexing, the sources a model can reach, the scope of the changes and model updates. We agree the date of the next measurement wave after the audit and implementation rather than promising a result in a fixed number of weeks.
B2B companies whose buyers make expensive decisions and verify options through AI: law firms, software and SaaS companies, marketing agencies, accountancy practices, training providers and clinics. The higher the customer value, the stronger the case for GEO.
Find out whether AI systems have enough evidence about your brand
Start with a free category-fit assessment. We will confirm whether a Snapshot, an audit or foundational work is the right next step.
0 PLN · Fit assessment, without a promise of a full report