51% of B2B buyers now start their research with AI. Yet most companies have no measurement, no diagnosis, and no plan of action. We deliver all three — and a meaningful lead over every competitor that doesn’t.
G2 B2B Software Buyer Behavior Report, March 2026.
Start My AuditMarketing leaders looking at AI search right now are working with fragments. A handful of tool metrics around mentions and share of voice. A few prompts run by hand in ChatGPT. Trade press coverage. A leadership team that’s asking what the plan is. The pieces are there. What’s missing is the senior read that connects them — a clear diagnosis of why your brand is surfacing the way it is, and a prioritized plan for what to do about it.
Mention counts. Sample prompt responses. Generic “share of voice” scores. A useful starting point. Not enough on their own to build a plan around.
“What does ChatGPT say about us?” “Where are we showing up in AI search?” “Are we behind on this?” “What’s the plan?” The answers your team gives are the answers leadership remembers.
“The honest answer most marketing leaders give right now is: ‘I have some data. I don’t have an answer.’”
The state of AI search visibility in B2B, 2026
AI engines decide what to cite based on patterns in their training data, their retrieval indexes, and the sources they trust. Brands that establish visibility now become the default citation for the next thousand buyer queries in their category. And most of those queries are zero-click — the buyer reads the AI’s answer, sees the brands it names, and never visits a single site. You won’t see this in your analytics. That’s the point.
of B2B software buyers think more highly of a vendor when an AI chatbot names it in a recommendation. AI mentions don’t just drive traffic — they build (or erode) brand equity directly.
Next quarter, your CEO asks again. You either have an answer — or you have the same non-answer you had last quarter, while a competitor’s brand surfaces in the AI response your buyer just read.
The Search Visibility Audit is an in-depth diagnostic engagement built around three core questions: where your brand stands across five major AI engines, why it stands there, and what to do about it over the next 90 days.
It’s a fixed-scope product, not a retainer. You pay once. You get the work in ten business days. There are no discovery calls to schedule, no proposals to negotiate, no contracts to sign beyond the terms attached to checkout.
We built it this way because those who get the most from this work are the ones who already know they need it — and who don’t want to spend three weeks getting to “yes” on a proposal before any actual work begins.
One payment. No retainer.
No discovery call required.
Your buyers don’t ask AI engines one question. They ask dozens — across different stages of research, in different phrasings, on different platforms. Measuring AI visibility means meeting them where they search, with enough volume to separate pattern from noise. Every audit runs 30 prompts tailored to how buyers in your category actually search — three times each, across five AI engines — captured through each engine’s official API. That’s 450 data points per engagement.
Why three runs per prompt? Because AI responses vary between sessions. A single run returns a snapshot. The average of three runs is a real data point.
The audit produces a single integrated body of work, structured around the question you’re actually trying to answer: what should we be doing about AI search visibility, and why?
Where your brand stands across five AI engines.
A measurement of how your brand surfaces in AI responses across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — across the prompts your buyers are actually using. The baseline that everything else in the audit builds from.
The full read on why you’re surfacing the way you are — and what the underlying foundation says.
A diagnostic body of work connecting two layers: what AI engines are doing in your category right now, and the technical and content foundation underneath that determines whether you can compete for citations at all. Includes citation source analysis, comprehensive SEO audit (technical health, content extractability, site architecture, page speed, internal linking, backlink profile, indexation), and the synthesis that ties them together. The largest single body of analysis in the engagement.
What AI agents see when they visit your site.
A 13-point assessment of your site’s readiness for the next wave of AI: agents that visit, parse, and act on behalf of users. Covers schema, content structure, llms.txt implementation, citation eligibility, and crawl architecture. Most sites fail this assessment in ways their team doesn’t know about yet.
The plan your team picks up Monday.
A sequenced, prioritized list of initiatives your team can execute against in the next quarter. Each initiative is sized for effort, scored for expected impact on AI visibility, and ordered so the work compounds. Not a list of suggestions — a plan.
In 10 short business days, you’ll have a clear picture of where your brand stands in AI search, a clear diagnosis of why, and a 90-day plan your team can pick up Monday. Not theoretical. Specific, sequenced, prioritized.
When your CEO forwards an article about AI search and asks “how are we doing on this?” — you have the answer, the data behind it, and the plan already in motion.
When your team asks what to ship next quarter, you don’t open a planning doc. You open the roadmap.
When a competitor’s brand surfaces in an AI response that could have been yours, it doesn’t catch you off guard — and you know exactly what it’ll take to close the gap.
The work that used to feel like guesswork becomes work you can defend.
Some audits surface findings the in-house team can ship on their own. Others surface gaps that would benefit from senior support during execution. For the second case, there’s the 90-Day Sprint — a $9,500 engagement that picks up where the audit leaves off and runs the roadmap’s highest-priority initiatives to completion. We’ll let you know in the executive walkthrough whether the Sprint makes sense for your situation, and you can decide from there.
The whole engagement is async. No standing meetings, no status calls. You see the work when it arrives.
We can’t promise specific visibility outcomes — no one in AI search can, honestly. What we can promise is the work itself: that it arrives on time, in full, and that it matches what we said we’d deliver.
If we don’t deliver the full audit by end of business on day ten, you get 25% of your payment back automatically. No conversation required, no negotiation.
If we fail to deliver what we promised — a deliverable that doesn’t match the scope laid out on this page or in the engagement terms — we’ll fix it within five business days at no charge. If we can’t, you get a full refund.
This is a productized diagnostic, and it suits some situations better than others. We’d rather help you self-select honestly than try to convince anyone. If your situation matches the left column, great. If it matches the right, no hard feelings — there’s a better fit for what you’re looking for, and we’ll both save time.
I’m Devin, a senior practitioner, and I do the work end-to-end for every audit. I’ve spent the better part of the last decade in the world of content, SEO, and digital marketing. I now spend my time in AI Search — testing how it works, where it cites from, and what makes brands surface in it.
This audit is the work I do for clients, productized. You’re not getting a junior analyst working off a template. You’re getting the senior practitioner who built the methodology, doing the work directly.
You can walk into it with a real answer, the data behind it, and a 90-day plan your team has already started executing on. Or you can walk in with the same answer you gave last quarter. The audit takes ten business days. The window doesn’t get wider.
Start My Audit