Visibility diagnosis across answer engines
GEO, AEO and LLMO are not three different services: they are three layers of the same work. The common goal is that when a user asks ChatGPT, Perplexity, Claude, Gemini or Google AI Overviews about your industry, your brand appears as a cited source.
We start with a quantitative diagnosis that answers concrete questions:
- Who shows up today? We run hundreds of representative prompts for your industry across the major AI engines and map which domains get cited, how often and for which query types.
- Is your brand in there? We identify in which prompts your site appears, in which prompts your competitors appear, and in which no one appears yet (opportunity).
- Why does AI cite those sources? We analyse the cited pages to extract patterns: length, structure, structured data, author authority, age, external citations, presence on Reddit / Quora / forums.
The output is an actionable report listing the prompts you want to appear in, the content formats and structured data you need to produce, and a realistic estimate of effort and timing.
How We Work
We guide you with clarity every step of the way to get you real results.
Prompt and engine mapping
Technical audit for LLMs
Content and structured-data plan
Monthly monitoring and reporting
Actionable GEO / AEO / LLMO optimization plan
From the diagnosis, we execute a concrete plan on three fronts:
- GEO (Generative Engine Optimization): we restructure key content so it can be processed by generative engines: opening paragraph with a verifiable definition, concrete data with citations, comparison tables and numbered lists (LLMs extract them better than running text).
- AEO (Answer Engine Optimization): we optimise every FAQ and every "what is X" block so it can be reused as a direct answer. This includes well-implemented
FAQPage,HowToandArticlestructured data. - LLMO (LLM Optimization): more technical work — HTML semantics, identifiable authors with
sameAs, external citations in recognised media, Wikipedia / Wikidata presence when applicable,robots.txthandling to allow or block GPTBot, ClaudeBot, PerplexityBot and Google-Extended.
All this work is compatible with classic SEO: what makes Google cite a page inside its AI Overview is very close to what ranks it organically. It's not a parallel strategy — it's an evolution of SEO.
What You Gain by Working With Us
Our goal: growth for your business that you can see and that lasts.
Visibility in AI answers
Referral traffic from LLMs
Brand associated with category
Compatible with classic SEO
Frequently Asked Questions about GEO, AEO and LLMO
Clarifying the concepts and our methodology for optimizing for generative AI.
What's the difference between SEO, GEO, AEO and LLMO?
Classic SEO targets Google's list of results. GEO (Generative Engine Optimization) aims to make your content processable and citable by generative engines. AEO (Answer Engine Optimization) targets appearing directly as an answer in voice assistants and answer engines. LLMO (LLM Optimization) is the more technical work of making your site understandable to the models. In practice they are layers of the same work, not separate services.
Is it true that CTR drops with AI Overviews?
Yes. Public studies by Ahrefs and others have measured CTR drops of up to 34.5% on position #1 when an AI Overview is active (this is the worst-case figure, not the average). The 'zero-click search' phenomenon has been growing for years: according to SparkToro, in 2024 more than half of Google searches ended without a click on any result. The goal of modern SEO is no longer just ranking — it's also being cited inside the AI Overview.
How do you measure visibility in ChatGPT or Perplexity if there's no public ranking?
By running representative prompts for your industry systematically and measuring, prompt by prompt, which domains the engine cites and how often. It's a manual and semi-automated job similar to Google rank tracking 15 years ago. We deliver a monthly dashboard with evolution by engine and prompt category.
Does it make sense to block GPTBot and ClaudeBot in robots.txt?
It depends on your business model. If content is your value proposition (media, education, content SaaS), blocking can make sense to avoid AI answering without sending traffic. For most businesses where the website is an acquisition channel, allowing those bots is advantageous because it increases the chance of being cited and gaining brand visibility.
How long until GEO/AEO work shows results?
AI engines react faster than Google because they retrain or reindex more often. Changes to structured data, authorship and rewritten key blocks can start showing in 4-8 weeks. Authority work (external citations, media presence) takes longer, just like in classic SEO.
Is it compatible with my current SEO strategy?
Yes, completely. Most GEO/AEO/LLMO actions reinforce traditional SEO. E-E-A-T, FAQPage schema, authorship with sameAs, clear opening definition, comparison tables… all of that improves both your ranking in classic Google and your chances of being cited by AI.
Do I need real authors with names and LinkedIn profiles?
Yes, ideally. LLMs use verifiable author identity (sameAs field pointing to LinkedIn, Twitter, GitHub, ResearchGate) as a proxy for quality and authority. An anonymous blog is hard to cite because the AI cannot verify the source. Strengthening authorship is one of the service deliverables.
How is this different from your 'SEO with AI' service?
Our SEO with AI service is about how we use AI internally as a tool to do SEO faster and at greater scale. The GEO/AEO service is about how we help your business appear in the answers given by ChatGPT, Perplexity, Claude and Google AI Overviews. They are different and complementary.