Generative Engine Optimization (GEO) is the practice of engineering your content, entities, and citations so AI engines like ChatGPT, Perplexity, Claude, and Gemini name your brand when customers ask category questions.
Search behavior has fundamentally shifted. According to G2’s 2026 Answer Economy Report, 51% of B2B software buyers now start their research in an AI chatbot more often than Google — and 69% chose a different vendor than they originally planned based on AI guidance. The shortlist is forming inside AI answers, before a buyer ever visits your website.
Traditional SEO optimizes for ranked links. GEO optimizes for being the answer. AI engines don’t crawl and rank the way Google does — they retrieve, synthesize, and cite. Research from Princeton’s foundational GEO study found that structuring content for extraction — statistics, expert quotations, structured data, and high entity density — increased AI visibility by up to 40% over keyword-based approaches. That is the work we do: we make your brand the entity AI engines understand, trust, and cite.
And because AI-referred visitors arrive pre-convinced by the recommendation, they convert at roughly 14.2% versus 2.8% for traditional Google traffic (Exposure Ninja, 2026). Fewer visits, dramatically higher value per visit.
Monthly tracking of your brand mentions and citations across ChatGPT, Perplexity, Gemini, and Claude for your highest-intent category prompts — benchmarked against competitors.
AI engines cite from a specific ecosystem of sources. We identify the publications, directories, and communities your engines pull from — and build your presence there.
Structured data, consistent entity signals, and schema that make your brand unambiguous to language models — who you are, what you do, and why you're credible.
Content engineered for how LLMs actually cite: front-loaded answers, statistics, quotable passages, and question-formatted structure — 44% of LLM citations come from the first 30% of a page.
Plain-English reporting: which prompts you appear in, share of voice versus competitors, and exactly what moved — no vanity dashboards.
We map the actual questions your buyers ask AI engines — then build the content and citation footprint to own those answers.
GEO is the practice of optimizing your brand's content, entities, citations, and structured data so generative AI engines — ChatGPT, Perplexity, Gemini, Claude — mention and cite your brand in their answers. Where SEO targets ranked links, GEO targets inclusion in the AI-generated answer itself.
SEO optimizes for a ranked list of links; GEO optimizes for being named inside a synthesized answer. The signals differ too: AI engines favor extraction-friendly structure, statistics, original data, entity clarity, and citations from sources they trust — pages ranking #1 on Google are cited by ChatGPT only about 43% of the time, so ranking alone doesn't guarantee AI visibility.
Early movement typically appears within 60–90 days — industry benchmarks report 30–40% visibility improvements in that window for brands starting from low AI visibility. Compounding results build over 6–12 months as citations and entity authority accumulate.
No honest agency can guarantee specific AI outputs — the engines are probabilistic and change constantly. What we do guarantee: measurable tracking of your AI visibility, transparent monthly reporting, and a systematic method built on the published research about how LLMs select citations.
Four core engines: ChatGPT, Google Gemini (including AI Overviews), Perplexity, and Claude. Each has different citation behaviors and source preferences, so we track and optimize them separately.
Yes — they reinforce each other. Consumers use AI for discovery and traditional search for verification, and a large share of AI citations still originate from organically visible content. Our engagements pair GEO with a technical SEO foundation for exactly this reason.