Generative
Engine
Optimization.
Engineer the answers large language models give when your clients ask for what you sell. GEO is the successor to SEO — not its replacement, its ascension.
- Surface
- ChatGPT · Perplexity · Gemini · Claude
- Discipline
- Citation engineering
- Guarantee
- Cited within 90 days
- Measured
- Citation share · Recommend rate
What
it means.
The new distribution layer
Your buyers have stopped starting with Google. They begin with ChatGPT, Perplexity, Gemini, Claude — each one returning a single synthesized answer, carrying three to five recommendations forward, rendering the rest invisible.
GEO is the craft of becoming one of those recommendations. We engineer the passages, entities, statistics, and citations that language models extract and quote. Not rankings. Recommendations.
What we engineer
- Extractable answer blocks — the 40-to-90-word passages LLMs quote verbatim.
- Named frameworks and proprietary terminology that accrue citation gravity.
- Entity architecture — the semantic graph models use to know who you are.
- Schema.org, Wikidata, and cross-platform canonical signals.
- Data assets — first-party statistics worth quoting.
- Direct citation placements inside tier-one publishers that LLMs train on.
What you receive
A monthly ledger of citation share across each major model — measured by query, category, and competitor. A growing library of named, quotable assets. A schema and entity architecture that compounds. And the reinforcement loop that turns every citation into the signal for the next.
Who this is for
Premium and luxury brands, advisory firms, and sophisticated scale-ups where the next client is already asking an AI which firm to hire — and the answer has to be yours.
Be the
answer.
The Audit surfaces every query where AI is recommending your competitors instead of you — and the precise moves to reverse it.