What is Generative Engine Optimization (GEO)?

Why GEO exists

A growing share of product research now starts with a question typed into an AI assistant instead of a search box. Someone asks "what is the best invoicing tool for freelancers?" and gets a short answer naming three to five products. There is no page two. If your brand is not in that answer, you are invisible for that buyer, no matter how well your website ranks on Google.

GEO is the name for the work of changing that outcome. The term comes from a 2023 research paper by Princeton and Georgia Tech researchers, which showed that specific content changes, such as adding statistics, quotations and clear citations, measurably increased how often a source was used in generative answers.

How AI engines choose which brands to mention

Large language models build answers from two sources: what they learned during training, and what they retrieve from the web at answer time. ChatGPT with search, Perplexity and Gemini all lean heavily on retrieval for commercial questions. In practice, three things drive whether you are mentioned:

• Consensus. Brands that appear repeatedly across independent, trusted pages (review sites, comparison articles, forums, industry publications) are treated as safe recommendations.
• Clarity. Pages that state plainly what a product is, who it is for, and how it compares are easier for a model to quote than vague marketing copy.
• Retrievability. If AI crawlers such as GPTBot, PerplexityBot or Google-Extended are blocked, or your key facts live only inside images and scripts, the engine cannot use them.

GEO vs SEO: what is different

GEO is not a replacement for SEO. Most AI engines retrieve pages through a search index, so pages that rank well are more likely to be read. But the success metric changes.

• SEO measures rankings, clicks and traffic for a URL. GEO measures mentions, position among the brands named, and citations inside an answer.
• SEO competes for ten blue links. GEO usually competes for three to five named slots.
• SEO is mostly about your own site. GEO depends heavily on what other sites say about you, because the AI synthesises many sources.
• SEO results are fairly stable day to day. AI answers vary between runs, so GEO needs repeated measurement to separate signal from noise.

The core GEO tactics

1. Measure first

Write down the 20 to 50 questions your buyers actually ask, from broad ("best CRM for startups") to specific ("HubSpot vs Pipedrive"). Ask each AI engine and record whether you are named, in what position, which competitors appear, and which sources are cited. This baseline tells you where you stand and which sources matter.

2. Get onto the sources AI already trusts

The cited domains in your baseline are a shopping list. If Perplexity keeps citing a particular "best tools" article, a G2 category page and a Reddit thread, being present and well described on those pages will usually move your visibility faster than anything you publish on your own site.

3. Make your own pages quotable

Put a one-sentence definition of what you do near the top of your homepage and key landing pages. Publish honest comparison and alternatives pages. Use real numbers: pricing, limits, integrations, customer counts. Mark up pages with structured data (Organization, SoftwareApplication, FAQPage) so facts are machine-readable.

4. Let AI crawlers in

Check your robots.txt. Many sites block AI crawlers by default through a CDN or plugin setting. If you want to be recommended, allow GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, ClaudeBot and Google-Extended. Consider publishing an llms.txt file that summarises your product and links to your most important pages.

5. Re-measure on a schedule

Because answers fluctuate, judge progress by trends over weeks, not a single run. Track your visibility score per engine and your share of voice against named competitors.

Who should care about GEO

Any business whose buyers research before they purchase: software companies, agencies, e-commerce brands in considered categories, professional services and local businesses with competitive markets. If people ask AI assistants for recommendations in your category, and they increasingly do, GEO is now part of marketing.

Key takeaways

• GEO is about being named and cited inside AI answers, not ranking a link.
• AI engines favour brands that many trusted sources agree on and that describe themselves clearly.
• Start by measuring a realistic set of buyer prompts, then work on the sources the AI cites.
• Measure repeatedly; single answers are noisy.