B2B buying committees now do most of their vendor research before contacting anyone. We make sure your brand appears in that research — during the shortlist stage you never get to see.
B2B has always had a long, mostly invisible research phase. AI assistants have compressed and accelerated it. A buying committee member can now assemble a credible vendor shortlist, understand the tradeoffs, and form a price expectation in a single conversation — weeks before anyone fills in a form.
If your brand isn't in that conversation, you're not losing the deal on merit. You never entered consideration. And because the research is invisible, there's no signal telling you it happened.
B2B has an additional complication: buying committees contain multiple roles asking genuinely different questions. The economic buyer asks about ROI and cost, the technical evaluator asks about architecture and integration, procurement asks about compliance and contracts. Most B2B sites answer one of those well and the rest badly or not at all.
This is the central tension in B2B AI visibility, and the answer is more nuanced than either extreme.
Best for: Evaluation-stage content: comparisons, security overviews, integration docs, pricing structure.
Best for: Deep implementation guides, ROI calculators, and bespoke assessments — not basic evaluation information.
Four factors, weighted toward the evidence a committee needs to justify a decision internally.
Whether your content answers the distinct questions each buying role asks, or only the one persona marketing built the site around.
Whether proof — case studies, outcomes, security posture, compliance status — is retrievable, or locked behind forms where no model can reach it.
Independent coverage in analyst reports and trade publications, which models weight heavily as evidence in considered-purchase categories.
Concrete, verifiable claims — real numbers, named outcomes, documented capabilities — get retrieved far more readily than positioning language.
Coverage across every buying role, evidence made retrievable, and the corroboration that considered purchases depend on.
Identifying every role involved in your deals and the distinct questions each one researches independently, then mapping coverage gaps against them.
Deciding deliberately what to ungate for retrievability versus what stays gated, rather than defaulting to gating everything.
Turning case studies into structured, marked-up, retrievable content with specific outcomes rather than unstructured PDFs no model can read.
Making security posture, certifications, and compliance status accessible enough to be cited, since these are common evaluation blockers.
Building the independent coverage that models treat as evidence in high-consideration categories, targeting sources that actually get retrieved.
Citation tracking segmented by buying role, so you can see which committee members' questions you win and which you're absent from.
Where the leverage sits depends heavily on deal size and committee complexity.
Shorter cycles, smaller committees, and heavy reliance on comparison research. Comparison and alternatives coverage delivers the fastest return.
Long cycles, large committees, and heavy documentation requirements. Security, compliance, and analyst corroboration carry disproportionate weight.
Technical evaluators do deep independent research. Architecture documentation and integration detail are the decisive content.
No product to evaluate, so buyers assess methodology, expertise, and comparable outcomes instead.
Mapped to the buying committee rather than to a single persona, because that's how the research actually happens.
We map every role in your buying process, benchmark the questions each researches, and test what's retrievable versus gated or unreadable.
We identify which roles you serve well, which you're absent for, and where evidence exists but can't be retrieved by anything.
Evaluation content made retrievable, case studies structured and marked up, compliance content opened, analyst corroboration pursued.
Monthly citation tracking segmented by buying role, correlated with pipeline and branded search where attribution allows.
Structured case studies, accessible security documentation, and clear comparison content shorten sales cycles and answer buyer questions directly. Making them retrievable for AI is largely the same work as making them useful for your sales team.
The questions clients ask us most before starting. If yours isn't here, ask us directly on a consultation call.
Usually indirectly. The signals are rising branded search with flat non-branded, prospects arriving unusually well-informed, or deals where you were never in an early shortlist you didn't know existed.
Benchmarking is the direct test: run your category's vendor-evaluation questions and see who gets named. If it's consistently competitors, that's happening in real buying processes too.
Some of it, deliberately. Gated content is invisible to models entirely, so anything you want cited during evaluation has to be accessible.
The pragmatic split is to ungate evaluation-stage information — comparisons, security overviews, pricing structure, integration detail — while keeping genuine conversion assets gated.
It's actually better suited to long cycles than short ones, because AI visibility influences the invisible research phase where you currently have no presence at all.
Attribution is the hard part. We track citation share on evaluation-stage questions and correlate with branded search and self-reported source data rather than claiming clean last-click attribution.
By mapping their questions separately rather than assuming one content strategy serves everyone. A CFO and a security architect research the same purchase with almost no overlap in what they ask.
In practice most B2B sites over-serve one role and neglect the rest. The gap analysis usually makes this obvious quickly.
Meaningfully, in enterprise categories. Analyst coverage is retrieved and treated as strong independent corroboration, particularly for high-consideration purchases.
It's slow and expensive to build, so we assess honestly whether your category's answers actually draw on analyst sources before recommending investment there.
Publish them as structured web pages rather than gated PDFs, include specific verifiable outcomes rather than vague improvement claims, and mark them up so the client, industry, and result are machine-readable.
Specificity is what gets retrieved. A named outcome with a real number is cited far more readily than a testimonial about a great partnership.
For enterprise B2B, yes. Security and compliance questions come up constantly in evaluation, and if that information sits behind a form or in a portal, models can't cite it — so competitors who publish theirs get named instead.
You don't need to publish everything. A retrievable overview of certifications and posture usually covers the questions being asked.
Retainers typically start around $4,000–$10,000 monthly, running $10,000–$25,000+ for enterprise scope with complex committees and multiple product lines.
Audits run in the low five figures standalone. Detail is on our pricing page.
We'll benchmark the vendor-evaluation questions your buying committee actually asks and show you which competitors get named while you're absent.
No commitment · 45 minutes · Immediate value
We’ll run your category’s real questions live on the call and tell you honestly whether this is worth your budget. No pitch deck.