Most AI buyers now research products by asking an LLM. Whether your brand shows up in the answer is decided by what's been indexed, what's been cited on the open web, and what schema you've shipped. GEO is the discipline of making those answers favor you.
We run 50+ buyer-intent queries through ChatGPT, Claude, Perplexity, Google AI Overviews, and Microsoft Copilot. Map which queries cite you, which cite competitors, which cite no one yet.
LLMs cite specific sources — Reddit, G2, Capterra, dev forums, your own blog. We make sure your source-side content is structured to be the citation an LLM picks.
Service, Product, Organization, FAQPage, HowTo schemas wired to your site so LLMs extract clean facts about what you do, who for, and how it compares.
We write and maintain the AI-agent-readable site index that Anthropic, Cursor, Perplexity browse, and ChatGPT browse all check first.
Google AI Overviews and ChatGPT both cite Reddit threads directly. We run targeted Reddit content engineered to be the citation an answer engine picks for your category.
Same 50 queries, re-run monthly across 5 engines. See which mentions are growing, which are flat, which competitor moves caused regressions.
Whether they ask ChatGPT, Perplexity, or Claude, the first product list they see is the LLM's answer, not Google's blue links. The names in that list win.
Google AI Overviews launched live Reddit citations in May 2026. ChatGPT and Perplexity have been doing it since launch. A well-engineered Reddit thread is the highest-leverage GEO asset.
An LLM ingesting your homepage will pull more accurate facts from Service / Organization / FAQPage schema than from your prose. Get the schema right and the LLM's answer about your product becomes accurate.
Most agencies still confuse GEO with traditional SEO. Specific operators who understand the LLM ingestion path are rare. The discipline is two years old; the playbooks are still being written.
We define the 50 buyer-intent queries for your category. Run each across 5 engines. Tag where you're cited, where competitors are, where the answer is neutral.
Schema markup, llms.txt, and homepage facts wired for clean LLM extraction. About page with Person schema if missing. Service entities with offers, audience, areaServed.
Reddit posts, G2 / Capterra positioning, dev forum threads, and your own blog content all engineered to be the citation an LLM picks for the target queries.
Same 50 queries, re-run. Whatever worked gets doubled down on. Anything still neutral gets a different content angle. Compounding over quarters, not months.
Related but distinct. Traditional SEO targets Google's blue links. GEO targets what gets surfaced inside an LLM-generated answer. The signals overlap (high-DA pages still help) but the discipline is different — schema, citation surfaces (Reddit, G2), and content structured to be extractable matter much more.
No, and anyone who does is lying — LLMs are non-deterministic and providers change their citation patterns regularly. We guarantee the work: audits, schema, source-side content, monthly re-runs of the citation tracker.
First positive signal: usually 4–6 weeks (a citation appears for at least one of the 50 tracked queries). Material visibility: 3–6 months. Saturation: 9–12 months of consistent work. Faster if you already have some Reddit / G2 / blog footprint we can optimize.
Not as live citations the way ChatGPT, Perplexity, and Google AI Overviews do. Anthropic hasn't publicly confirmed a Reddit licensing deal as of May 2026, and their sourcing is less transparent. But Claude does pick up patterns from training corpora and treats well-cited content favorably in its answers.
Yes — they read the same answer surface. We use Speakable schema where appropriate so FAQ blocks get picked up by voice readouts. Voice is a small share of traffic today but compounding fast.
Scoped to query count + content volume. Pre-seed engagements are smaller than Series B. 15-minute call covers your queries, your competitive set, and your existing content surface so we can quote real numbers.
Fifteen-minute intro. We'll run 5 buyer-intent queries against ChatGPT, Claude, and Perplexity on the call so you can see where you're cited (or not) live.