GEO is about getting cited accurately in AI-generated answers. We handle the full pipeline — from structuring your brand knowledge to monitoring what every major AI engine says about you.
Organize your brand's entity footprint — products, specs, pricing, case studies, team — into a structured knowledge base that AI models can parse, reference, and cite correctly. Eliminate hallucinations by giving models authoritative source material that's optimized for how they actually ingest information.
About 82% of links cited by AI engines come from earned media and third-party sources — not brand-owned pages. We identify and cultivate the publications, wikis, industry databases, Q&A platforms, and vertical media that AI engines trust. Then we build a systematic presence across them.
Produce and structure content specifically for AI readability: clear H2/H3 hierarchies, comparison tables, data lists, entity-linked terminology, and FAQ-based answer clusters. This isn't about keyword stuffing — it's about making your content the easiest, most complete source for an AI to extract from.
Track brand mention rates, citation accuracy, sentiment, and share-of-voice across ChatGPT, Perplexity, Gemini, Claude, Grok, and Copilot. We monitor continuously and correct inaccuracies as they emerge. You get a dashboard with metrics that actually matter: citation rate, first-recommendation share, top-3 rate, and keyword-level mention frequency.
GEO doesn't replace SEO — it layers on top. We connect your existing SEO foundation (domain authority, backlink profile, technical optimization) with GEO-specific work (structured data, entity optimization, semantic clusters). The combined approach captures both traditional search traffic and the growing share of AI-driven discovery.
AI engines update their models and crawling behavior constantly. What works for ChatGPT today may not work for Perplexity next quarter. We track changes across all major engines and adjust your GEO strategy accordingly — so your visibility doesn't degrade because an algorithm shifted.
Baseline your current AI presence across all engines
Build knowledge graph + identify authority gaps
Create semantically structured content clusters
Deploy across owned, earned, and third-party channels
Track citations, correct inaccuracies, refine continuously
SEO targets ranking in search engine result pages through keywords, backlinks, and domain authority. GEO targets being cited in AI-generated answers by building entity authority, structured knowledge, and third-party citations. While SEO optimizes for ten blue links, GEO optimizes for the single authoritative answer that AI engines synthesize from multiple sources. The two are complementary, not competing — a strong SEO foundation supports GEO, and GEO captures the AI-driven traffic that SEO alone misses.
ChatGPT (roughly 78% of all AI referral traffic, relies on Bing's index), Perplexity (highest brand-citation rate at ~13%), Google Gemini and AI Overviews, Claude (favors factual density and source attribution), Grok, and Microsoft Copilot. Each engine sources and ranks information differently, so an effective strategy must account for all of them, not just one.
Core metrics: AI Visibility Index (how often your brand appears in AI answers), citation accuracy rate (whether the AI describes you correctly), first-recommendation share (when an AI suggests a solution, how often it names you), top-3 recommendation rate, and keyword-level mention frequency. We also track AI-referred traffic and its downstream conversion behavior — AI-referred visitors typically convert at 4–5× the rate of standard organic traffic.
Knowledge graph and structured content improvements can shift AI citations within 1–2 months. Building the authority source matrix — systematic third-party citations and earned media — typically takes 3–6 months to reach critical mass. GEO visibility can appear faster than traditional SEO ranking shifts because AI engines actively re-index knowledge bases, rather than waiting for crawl cycles and backlink accumulation.
Yes, and in some ways more so. B2B buyers increasingly use AI search for research — comparing vendors, understanding technical capabilities, and building shortlists. If your brand isn't cited in those answers, you're invisible at the earliest stage of the buying process. B2B GEO focuses on technical knowledge graphs, industry publication citations, and structured capability documentation that AI engines can reference when answering product-comparison and vendor-selection queries.
Start with an audit of how AI engines currently see your brand — or don't.
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