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 full AI-answer engagement for B2B: citation share mapped per committee role across five engines, then the sources and schema fixed to get you cited.
How we run it →The comparison, alternatives, and category pages that win the shortlist on Google and in the AI answer, built from sales-call and RFP truth.
How we run it →Content briefed from the committee's real questions, mined from win-loss and sales calls, not a keyword tool. Bottom-funnel and built to be cited.
How we run it →Render parity, schema, and llms.txt so the engines can read the product substance buried under a JS-heavy B2B stack. The layer most programs skip.
How we run it →G2, Capterra, TrustRadius, analyst notes, and the threads AI pulls from, earned not claimed. The third-party trust a committee checks before you.
How we run it →Genuine, helpful citations in the subreddits your buyers and the AI engines both read, with real account history and mod rules respected.
How we run it →Digital PR, original data studies, and analyst placements that earn the authority Google trusts and AI cites. No PBNs, no HARO spray.
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.
