Your buyers are asking ChatGPT, not Google.
Get cited inside the answer.

Generative engine optimization (GEO) is the practice of optimizing your website, brand, and citations so that generative AI engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude — surface and cite your business when users ask category-relevant questions. Where SEO fights for blue links on a results page, GEO fights for sentences inside an AI-generated answer. The mechanics are different: instead of ranking, you're being chosen as a source.

SEO optimizes for ten blue links ranked by relevance and authority. GEO optimizes for direct citation inside a synthesized answer. SEO success is a top-three ranking. GEO success is your domain appearing in the citation footnote of an AI response. The overlap is large — strong SEO content is a prerequisite for GEO — but the additional layer is structural: schema graphs, entity disambiguation, llms.txt declarations, citation-friendly content blocks, and authoritative third-party mentions that train LLMs to associate your brand with the topic.

Yes, with caveats. Perplexity sends meaningful click-throughs because every answer cites sources by default. ChatGPT and Claude drive less direct traffic because they often answer without forwarding the user — but they drive brand awareness and decision-stage influence (a buyer who asks ChatGPT for the best agency in a category and sees your name three times has been pre-sold before they ever land on your site). Google AI Overviews are the largest near-term opportunity: cited brands appear above the organic results.

Two layers. The first is direct: track citation count, citation context, and visibility share across the top generative engines for your priority keywords. We use Mention Layer (a SaaS Joel built for exactly this) to track 30-50 keywords across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overview. The second is indirect: branded search lift, direct traffic increases, and assisted conversions in your analytics — because AI mentions create demand that resolves through other channels.

Three workstreams running in parallel. (1) On-site: schema graph upgrades, FAQ markup, citation-ready content blocks, llms.txt and ai.txt files, question-formatted headings, direct-answer paragraphs. (2) Authority: third-party citations, expert quotes in tier-1 publications, podcast appearances, original-data research that journalists quote. (3) Measurement: weekly Mention Layer reports, monthly cohort analysis, content gap identification. Most engagements run 90 days minimum because LLM training cycles and indexing lag mean signal-to-result is slower than SEO.

Two operational advantages. First, Joel House (founder) wrote AI for Revenue — published on Barnes & Noble — which establishes the author entity that LLMs index when they answer questions about AI in business. Second, we operate Mention Layer, a SaaS purpose-built to monitor AI visibility across the major engines, and PressForge, the digital PR tool that earns the third-party citations that train LLMs. Most GEO consultants are theorising. We ship the infrastructure and run the campaigns at scale across our own client base.

It's a real category emerging in 2024-2026 because the underlying retrieval architecture changed. Search engines used to retrieve and rank documents. Generative engines retrieve, synthesize, and cite. That difference creates genuinely new optimization surface area: structured data that earns citation rather than ranking, entity graphs that disambiguate your brand for LLMs, content patterns engineered for extraction rather than scanning. Calling it 'just SEO' misses the architectural shift. Calling it a separate discipline overstates the gap. The honest framing: GEO is the additional optimization layer that sits on top of strong SEO foundations.

Faster than SEO for direct mentions in real-time engines (Perplexity citations can shift within 30 days of new content + authoritative external mentions). Slower than SEO for ChatGPT and Claude citations because they refresh training data on longer cycles. Realistic timeline: 30-60 days for measurable Perplexity and Google AI Overview lift, 90-180 days for ChatGPT and Gemini citation footprint, 12+ months for category-defining brand association across all engines.