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Your customers increasingly ask ChatGPT, Gemini or Perplexity instead of Google — and get one summarised answer. GEO (generative engine optimization) helps your business get found, cited and recommended inside AI answers. Start with a free audit.

In short

GEO (generative engine optimization) is the practice of optimizing your business so that AI assistants like ChatGPT, Gemini and Perplexity find, cite and recommend you in their answers. It is for businesses whose customers increasingly ask AI instead of Google and get one summarised answer. Start with a free audit — see how AI views you today and get a clear GEO plan.

Price
Project-based
Best for
Businesses whose customers use AI search
Engines
ChatGPT, Gemini, Perplexity
01What's included

GEO is not a single action. It is several connected tasks that together help your business appear in AI answers.

01

Structured data

Schema.org markup and a clear data structure so AI models understand exactly who you are, what you offer and how you can help.

02

Factual, quotable content

We write clear, fact-based content that ChatGPT, Gemini or Perplexity can quote directly when answering your customers.

03

llms.txt & AI crawlers

We prepare an llms.txt file and review AI crawler access (GPTBot, ClaudeBot, PerplexityBot) so you do not block the sources you want.

04

Entity & brand consistency

We align information about your business across sources so AI recognises you as one coherent, trustworthy entity.

05

FAQ & Q&A content

We create question-and-answer blocks matching real customer queries — a format AI models particularly like to cite.

06

Citations & authority

We strengthen mentions and citations on trusted sources, because AI models trust what is confirmed in several places.

02Process

It all starts with the audit — we first see how AI views you, then strategise and optimize.

01

Audit

We check how ChatGPT, Gemini, Perplexity and Claude see your business today, which sources are cited and where the gaps are.

02

Strategy

We build a clear GEO plan — which questions we want to win, and what content and structured data to create.

03

Optimize

We implement Schema.org markup, factual content, llms.txt and entity consistency across sources.

04

Measure

We track referrals from AI sources and test queries in the models to see if you are mentioned and cited, then adjust.

Results

0M+
Weekly ChatGPT users
0%
Of searches end without a click
0x
Faster growth of AI search
0
Answer instead of 10 links
03Deliverables

Every GEO step is tangible — you receive concrete documents and greater visibility in AI answers.

01

GEO audit

A report on how ChatGPT, Gemini, Perplexity and Claude see you now, with a prioritised list of what to fix first.

02

Structured data set

Implemented Schema.org markup — organization, services, FAQ and other types so AI understands your business precisely.

03

AI-ready content

Clear, factual content and Q&A blocks written so models can quote them directly.

04

llms.txt file

A prepared and deployed llms.txt plus tidied AI crawler access on your site.

05

Entity profile

Aligned, consistent brand information across sources that strengthens AI recognition.

06

AI visibility reports

Clear reports with referrals from AI sources and mention tracking over time.

ChatGPT.Google AI Overviews.Gemini.Perplexity.Claude.Schema.org.llms.txt.GPTBot.Structured data.Citations.Entities.AI search.
04FAQ

GEO, or generative engine optimization, is adapting your business for AI search — so ChatGPT, Google AI Overviews (Gemini), Perplexity and Claude find, cite and recommend you in their answers. It covers structured data, clear factual content AI can quote, entity and brand consistency, and building authority. In short, it is the next generation of SEO for AI-driven search, often discussed as ChatGPT optimization.
Classic SEO aims for a high position in the Google list of links, while GEO aims to get your information into the AI-generated answer itself. SEO optimises clicks from search results; GEO optimises citations and mentions inside AI answers, where there is often no list of ten links but a single summarised response. In practice the two complement each other: clean content, Schema.org markup and authority help both Google and large language models (LLMs).
Visibility in ChatGPT depends on whether clear, factual and consistent information about you exists online that the model and its browsing tools can find and quote. We help you organise clear factual content, FAQ and question-and-answer blocks, structured data, brand consistency across sources, and mentions on trusted sites. No one can guarantee ChatGPT will always mention your business, but these steps genuinely improve the odds.
llms.txt is a simple text file at the root of your site that presents the most important information about your business to AI models and their crawlers in a clear structure — similar to how robots.txt serves search bots. It is not yet an official standard, but it is cheap and useful to prepare. Alongside it we review AI crawler access (e.g. GPTBot, ClaudeBot, PerplexityBot) so you do not block the sources you actually want AI to see.
Yes, partly. In analytics tools you can separate referrals from chatgpt.com, perplexity.ai, gemini.google.com and similar sources and track how they grow. We also monitor mentions and citations by testing queries in the AI tools ourselves. Measurement is still maturing and is not as precise as Google Search Console, so we give you a realistic picture rather than promising exact numbers.
LLM adoption suits almost any business whose customers already ask AI for recommendations — from service providers to e-commerce and B2B. We start with an audit: we check how ChatGPT, Gemini, Perplexity and Claude see your business today, which sources are cited and where the gaps are. You can request the initial assessment at /svetaines-auditas, and afterwards you receive a clear GEO priority plan.

Start with a free audit — find out how ChatGPT and other AI tools see you and get a clear GEO plan.