A B2B buying committee no longer opens Google first. Each stakeholder asks AI for a vendor shortlist, and the names that come back frame the entire evaluation. If the AI doesn’t cite you, you’re not in the room. We get you onto the shortlist across every prompt your committee asks, then keep you there.
Five to eleven people evaluate, each asking AI different prompts against different criteria. You have to be cited across all of them — the category query, the integration query, the pricing query — not just the obvious one.
By the time a B2B buyer fills out a demo form, the AI-assisted shortlist is already set. The funnel now opens months earlier, inside a chat window, where most vendors have no presence and no measurement.
AI cites third parties — review sites, analyst notes, editorial, community threads — far more than your own marketing site. In high-consideration B2B, the citation graph around you matters more than the copy on you.
Most engagements run all six together. Each links to how we run it.
The prompts each committee role actually asks across five engines, mapped to where you're cited, where a competitor is, and where the shortlist is still open.
How we run it →Schema, llms.txt, and the specific URLs the engines lift from — fixed so AI can read, trust, and quote you. The layer most B2B sites skip.
How we run it →Your /vs and /alternatives pages, written and ranked, plus the third-party comparisons where a committee narrows from three vendors to two.
How we run it →Review sites, analyst mentions, editorial, and the community threads AI pulls from — earned, not claimed. Trust borrowed from sources the engines already cite.
How we run it →The full generative-engine optimization engagement — measurement plus execution — pointed at your highest-pipeline buyer prompts.
How we run it →One weekly dashboard: citation share by prompt and stakeholder, branded-search lift, and AI-attributed demo or contact requests. Reported to pipeline.
How we run it →Not a keyword dump. The prompts each role — economic buyer, technical evaluator, end user, procurement — types into ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews, scored by where you stand today.
Schema, llms.txt, the pricing and integration pages, and the most-cited URLs. Most B2B sites have a strong product and a citation-unfriendly site. This layer unlocks the rest.
Your /vs, /alternatives, and integration pages, written and ranked, plus the third-party comparison threads and review categories where a committee narrows the field.
Earned mentions on the review sites, analyst notes, editorial, and communities the engines trust. In B2B, borrowed trust beats self-published claims.
Citation share by prompt and stakeholder, branded-search lift, and AI-attributed pipeline. We report to the opportunity, not the rankings page.
The mechanics hold across B2B; the citation-source mix shifts by segment. Start where you sell.
Reddit, G2, and /vs pages drive the software shortlist. The deepest playbook we run.
SaaS solution →Share of AI voice at scale, brand-entity control, and committee-grade reputation across every engine.
Enterprise solution →White-label GEO tooling and reporting to put AI visibility in front of your own B2B clients.
For agencies →Run a Live Audit. We pull your company against competitors on the buyer prompts that matter across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews, and send the full report to your inbox.
