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What GEO is, and why your brand is missing from ChatGPT answers

Generative engine optimisation explained: how AI assistants choose which brands to recommend, and the practical steps to get your brand into their answers.

Key takeaways

  • AI assistants recommend a short list of brands, so being left out costs you the sale before it starts.
  • They favour brands they can clearly understand and that trusted sources describe consistently.
  • GEO builds on good SEO: structure, expertise and authority, written for a new kind of reader.
  • You can measure AI visibility today by testing the prompts your buyers actually use.

Ask ChatGPT, Gemini or Perplexity to recommend a provider in your category, and you will usually get a short, confident list of three to five names with a sentence on why each one fits. For a growing number of buyers, that list is where research starts, and for some it is where it ends.

If your brand is not on it, you never made the shortlist. No click, no visit, no chance to make your case. That is the problem generative engine optimisation, or GEO, sets out to solve.

What GEO actually means

GEO is the practice of improving how generative AI systems understand, trust and cite your brand. Where traditional SEO aims to rank a page in a list of results, GEO aims to make your brand part of the answer itself.

It is not a replacement for SEO. AI assistants that search the web still rely heavily on content that ranks, and the qualities that help you rank, such as clear structure, real expertise and links from trusted sites, also help you get cited. GEO adds a new question to every piece of work: if an AI read this, would it understand exactly who we are, what we do and why we are a good choice?

How AI assistants decide who to recommend

No AI company publishes a full recipe, and the systems change often. But looking at which brands get cited, and how, points to a consistent set of signals:

  • Clarity. Brands that describe themselves in plain, consistent language are easier to summarise and recommend. Vague positioning produces vague answers, or none.
  • Corroboration. Assistants give more weight to claims that independent sources repeat: reviews, comparisons, news coverage, directories and expert roundups.
  • Structure. Pages with clear headings, direct answers, lists, tables and structured data are easier to extract from and quote.
  • Expertise. Original insight, data and named experts stand out against generic content that repeats what everyone else says.
  • Freshness and access. Content that is current and that AI crawlers can actually reach is more likely to be used when assistants search the web.
AI assistants do not recommend the best brand. They recommend the brand they understand best and that others vouch for.

Why your brand might be missing

When we run AI visibility audits, the same causes come up again and again:

  1. Your positioning is fuzzy. Your homepage, LinkedIn page and directory listings describe you differently, so no single description sticks.
  2. You are thinly covered by others. Your own site says you are great, but few independent sources mention you at all.
  3. Your content answers no one's question. Lots of company news, few clear answers to the questions buyers actually ask.
  4. Your site is hard to read for machines. Missing schema, content locked in images or scripts, slow pages or crawlers blocked by mistake.
  5. Competitors got there first. They published the comparison pages, guides and data your category needed, and now they are the default answer.

How to improve your AI visibility

1. Measure where you stand

List 20 to 30 questions buyers ask at different stages, from broad (“best ways to…”) to specific (“X vs Y for…”). Ask them in ChatGPT, Gemini, Perplexity and Google, note who is recommended and how each brand is described. Repeat monthly. This becomes your AI share of voice.

2. Fix your story first

Write one clear sentence that says who you serve, what you do and why you are different. Make sure your website, profiles and listings all say it the same way. Consistency is a signal.

3. Build answer-ready pages

Create pages that answer buyer questions directly: what you do, who it is for, how it compares, what it costs and what results to expect. Lead with the answer, then the detail. Use headings, short paragraphs, lists and FAQs.

4. Make your site machine-readable

Add organisation, service, product, article and FAQ schema. Keep pages fast and crawlable. Consider an llms.txt file that points AI systems to your most important pages.

5. Earn corroboration

Get mentioned where your buyers and AI systems look: industry publications, review sites, comparison articles, podcasts and directories. Original data and expert commentary are the most reliable ways to earn this coverage.

What to expect

Technical fixes and clearer pages can change how AI describes you within weeks, especially in assistants that search the web live. Authority and corroboration take longer and compound over months. Nobody can guarantee what a model will say, so treat GEO like SEO: a steady programme measured over time, not a one-off project.

The brands that start now have an advantage. AI answers tend to repeat the sources they already trust, and once a competitor becomes the default name in your category, displacing them gets harder.

FAQ

Frequently asked

still curious?

Ask a senior strategist directly. We usually reply within one working day.

01Is GEO the same as SEO?

No, but they overlap heavily. SEO focuses on ranking pages; GEO focuses on being understood and cited in AI answers. Good GEO starts with good SEO.

02Which AI assistants should we track?

Start with the ones your buyers use most, usually ChatGPT, Google (including AI Overviews), Gemini and Perplexity, and add others such as Copilot if relevant.

03Does llms.txt guarantee AI visibility?

No. It is a helpful, low-effort signal that points AI systems to your key content, but clear positioning, good content and authority matter far more.

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