Google rankings used to be the whole game. If your website ranked on page one, buyers found you. That was the system for 20 years. It's not the system any more.

Today, 66% of senior decision-makers use AI tools during procurement research (Sopro, 2025). They're asking ChatGPT and Claude for recommendations, running comparison queries through Perplexity, and scanning Google's AI Overviews before they scroll past the first organic result. The answers these platforms generate don't come from a ranked list of links. They come from the AI synthesising information across the web and citing the sources it trusts most.

Generative engine optimisation is the practice of making your business one of those trusted sources.

What does GEO mean?

Generative engine optimisation (GEO) is the process of structuring your content, your website, and your broader web presence so that AI-powered search platforms cite and recommend your business in their generated responses.

The term originates from a 2023 research paper by Princeton University and Georgia Tech. The researchers tested nine optimisation methods across a benchmark of 10,000 queries and found three that consistently worked: adding cited sources improved visibility by 30-40%, expert quotations by 37%, and relevant statistics by 22-41%. That paper gave the discipline its name and its first peer-reviewed evidence base.

The distinction matters because AI platforms don't show a list for the user to choose from. They construct a response. If your business isn't part of that response, you're not an option the buyer ignores. You're an option the buyer never sees.

How is GEO different from traditional SEO?

The overlap is roughly 90%. Most of what makes a website rank well on Google also helps with AI visibility. Good content structure, strong E-E-A-T signals, technical hygiene, schema markup. If you've been doing solid SEO, you have a foundation.

The 10% that differs is where businesses get caught:

Different selection mechanics. Google ranks pages. AI platforms extract passages. A 3,000-word guide might rank position three on Google, but the AI only cites it if there's a self-contained, well-structured passage of 134-167 words that directly answers the user's question. Your content needs to be extractable, not just rankable.

Different authority signals. Domain Authority explains only 4% of variance in AI citations (Princeton GEO study). Topical authority, which measures how deeply a site covers a subject, correlates at r=0.41. In traditional SEO, a strong backlink profile can compensate for thin content. In AI search, it can't. 80% of URLs cited by AI assistants don't rank in Google's top 100 (Ahrefs, 2025).

Different platforms, different rules. Only 11% of domains appear in both ChatGPT and Perplexity results for the same query. ChatGPT draws heavily from Bing's index. Perplexity weights freshness at 40% of its ranking signal. Google AI Overviews favour multi-modal content with a correlation of r=0.92. Optimising for one AI platform and assuming the others will follow is the same mistake companies made when they optimised for Google and ignored Bing. Except now there are six platforms to consider, not two.

Speed matters more. In traditional SEO, you publish and wait. Authority builds over months. In AI search, 50% of citations come from content under 13 weeks old. Perplexity gives a 38% citation boost to content updated within two hours. ChatGPT's top-cited pages are 76.4% updated within 30 days. AI search rewards consistent output, not patient accumulation.

What signals do AI search engines use to rank content?

The signals vary by platform, but the research points to a consistent set.

Content structure. AI platforms do passage-level retrieval. They don't evaluate your whole page. They extract chunks. Content structured with clear headings, self-contained sections of 120-180 words, and explicit definitions ("X is...") is significantly more extractable. Pages with logical heading hierarchy are 2.8 times more likely to earn citations (ZipTie.dev).

Schema markup. Structured data improves AI citation rates by 44-73%. Pages with three or more schema types are 2.8 times more likely to be cited. FAQ schema alone increases citations by 44% and makes content three to five times more likely to be selected (BrightEdge). Schema doesn't just help Google understand your page. It helps every AI platform extract structured information from it.

E-E-A-T signals. 96% of Google AI Overview citations come from sources with strong Experience, Expertise, Authoritativeness, and Trustworthiness signals. Named authors with credentials, published case studies, verifiable claims, and third-party validation are the minimum. Anonymous content gets deprioritised.

Freshness. 50% of AI citations come from content published within 13 weeks. Perplexity weights freshness at approximately 40% of its ranking signal. Microsoft Copilot's citation rates decay by 97% over 91 days. Publishing once and expecting permanent results is a strategy that works in traditional SEO. It doesn't work in AI search.

Original data. Data-rich websites generate 4.31 times more citation occurrences per URL (Yext). If your content includes proprietary research, survey results, or industry benchmarks that AI platforms can't find elsewhere, you become a primary source rather than one of thousands of secondary sources repeating the same information.

Multi-modal content. Google AI Overviews show a +317% selection boost for content that combines text, images, video, and structured data. Text-only content has an 8.3% selection rate. If your pages are walls of text without visuals, you're competing with one hand tied behind your back for Google's AI features specifically.

Does GEO replace SEO?

No. And anyone telling you it does is either selling something or hasn't read the data.

Lily Ray, a senior director at Amsive Digital and one of the most cited SEO practitioners in the industry, puts the overlap at 90%. The fundamentals are shared: clean technical setup, strong content, good site architecture, schema markup, E-E-A-T. If you stop doing SEO to focus exclusively on GEO, you'll lose ground in both.

GEO is additive. It takes the SEO foundation and adds:

• →
  Content structured for passage extraction, not just page ranking
• →
  Publishing cadence aligned with the 13-week freshness window
• →
  Platform-specific optimisation (ChatGPT needs Bing visibility, Perplexity needs freshness, Google AIO needs multi-modal)
• →
  Brand presence on the sources AI platforms actually read (Reddit, YouTube, review sites, industry directories)
• →
  Original data that gives AI a reason to cite you specifically

Think of it as a layer on top of your existing SEO work, not a replacement for it. The companies that do well in AI search are the ones with strong SEO foundations who then add the GEO-specific practices on top. The ones that struggle are the ones doing neither, or the ones who assume their Google rankings mean they're covered.

How to implement GEO for a B2B website

If you have an existing website with some content, the implementation follows a clear sequence.

• 01.
  Check AI crawler accessOpen your robots.txt. Are GPTBot, ClaudeBot, PerplexityBot, and Google-Extended allowed? Blocking them doesn't make you invisible, but it stops your own content being a direct citation source. Five minutes to check and fix.
• 02.
  Audit your current visibilityTest your business across AI platforms using the queries your buyers actually ask. Record where you appear, where you don't, and who appears instead. 1DOT starts with 15 queries across all six platforms and scales to 50 or more as the engagement progresses, building a detailed picture of which queries you win, which you lose, and how that changes over time.
• 03.
  Fix the technical foundationSchema markup on every page (Article, FAQ, Organization at minimum). Server-side rendering. Current sitemap. Meta descriptions present. These are prerequisites, not optimisations.
• 04.
  Structure content for extractionEvery key page needs self-contained answer units of 134-167 words. Start sections with clear definitions. Use question-based headings. Include statistics with attribution every 150-200 words. Add FAQ sections with schema.
• 05.
  Publish consistentlyThe 13-week freshness window means you need a content cadence, not a content project. One new article per week is the minimum. During a launch phase, daily publishing for four to six weeks builds topical authority faster.
• 06.
  Build off-site presenceAI platforms weight what others say about you 6.5 times more than what you say about yourself (Muck Rack). Industry directories, client reviews on Clutch and G2, Reddit and LinkedIn contributions. Brand information consistent across every platform.
• 07.
  Measure and iterateTrack AI visibility monthly. Monitor which content gets cited. Refresh pillar content quarterly. This is an ongoing programme, not a one-time project.

What to do next

If you've read this far, you now understand GEO better than most marketing teams in the UK. The question is whether that understanding turns into action.

The practical next step: test your AI visibility. Run ten buyer queries across ChatGPT, Claude, Perplexity, and Google Gemini. See if your business appears. If it doesn't, that's the gap GEO closes.

For a thorough assessment, 1DOT's free AI visibility audit goes well beyond running queries through AI platforms. It covers AI crawler access, schema markup analysis, content extractability, brand entity consistency across the web, competitor citation share of voice, platform-by-platform presence mapping, and technical readiness. The queries are one input. The audit scores your business across seven categories and produces a prioritised action plan, not just a list of which platforms mention you.