By the time procurement opens an RFP, the business owner already has three vendors in mind, and AI helped pick them. Five stakeholders, five different prompts, five different shortlists you need to be on. We get you on all of them, in every market you sell into.
Mid-market sells to one champion. Enterprise sells to a buying committee: CIO, CISO, business owner, finance, procurement, IT, sometimes legal. Each asks AI a different question. Win one and lose the deal because four others said no.
By the time finance starts vendor evaluation, the business owner already has three names. Those names came from analyst reports, peer recommendations, and increasingly from AI shortlist queries weeks or months earlier.
Whether you’re SOC 2, GDPR-ready, FedRAMP-listed, ISO-certified is on the entry checklist. AI cites your trust center for compliance prompts. If your trust pages are gated PDFs, you’re invisible at the gate.
AI doesn’t cite the page that re-summarized the same five points every other vendor in your category did. It cites the page with a specific, defensible take, backed by data your competitors don’t have, written for the exact stakeholder asking. Two moves we run that most enterprise content programs skip.
Solution-engineering call recordings, RFP responses you’ve answered a hundred times, security questionnaires, customer advisory board notes: every enterprise has a warehouse of authoritative answers nobody outside sales ever sees.
We extract those question-and-answer pairs and turn them into specific public content: the long-tail factual answers LLMs decompose enterprise prompts into. Most of it has been answered in your RFPs but never indexed anywhere AI can read.
The CISO and the business owner aren’t evaluating the same thing. The CIO and procurement aren’t reading the same content. A single megaplan optimizes for nobody, and AI surfaces a different shortlist for each role.
We map a separate prompt set, content track, and citation strategy per stakeholder, and stack them so you’re cited for all five roles by the time the buying committee meets. Reporting splits by stakeholder too, so champions can show wins to peers.
We map your category against every prompt shape, audit the citation sources for each, and ship the source content per shape. Enterprise categories live or die on these five.
Not just “the buyer”. We map every stakeholder role on a typical buying committee for your category, the prompts each role asks AI, and where you currently appear (or don’t) for each. The outcome is a 5×30 prompt grid we’ll work against.
Public trust pages, compliance landings, security architecture, sub-processor lists: moved out from behind PDFs and forms, structured for AI parsing, schema-tagged. The single highest-leverage move on most enterprise sites because it answers the gating prompts.
Gartner Peer Insights submissions, Forrester wave participation, G2 enterprise category placement, and the listicle ecosystem analysts cite. This is the off-site layer enterprise AI cites first, and most enterprise marketing teams don’t actively manage it.
Industry × persona × use-case pages built from your sales-engineering library. Migration-from-incumbent guides written with reference-customer input. The long-tail enterprise content most teams don’t prioritize because it doesn’t move keyword-tool volume.
Hreflang, regional content, in-market analyst placements, region-specific compliance pages (FedRAMP for US public sector, ISO 27001 for EU, IRAP for Australia). Each market is its own GEO surface and we run it weekly.
When a buyer asks AI “Is [vendor] SOC 2?”, the answer comes from one of three places: your trust page, a third-party aggregator (Vanta, Drata public profiles), or, worst case, a guess. The first two are signals you control. The third is the one that breaks deals.
Most enterprise trust centers gate everything behind an NDA or a login. AI parsers can’t read PDFs behind a form. We restructure the public layer (what’s genuinely safe to share) so AI cites you directly for the compliance prompts that gate the deal.
A global enterprise software platform, recognized by analysts, with a healthy paid funnel and a strong G2 presence. Their AI shortlist coverage was uneven: cited for the technical-evaluator prompt, invisible for the CISO and procurement prompts that gate the buying committee.
We rebuilt their public trust center, shipped vertical-by-persona landing pages from their RFP-answer library, ran a Gartner Peer Insights and analyst-listicle program, and localized the program across six markets. By week 14 they were cited for all five stakeholder roles in the four highest-priority verticals, and their RFP-stage win rate moved noticeably.
Read the full case study →Book a 30-minute enterprise discovery call. We'll map the buying committee for your category, audit your AI citation coverage per stakeholder role, and walk through what a multi-market engagement looks like.
