SandsDX
AI Visibility

Does AI surface you when your buying committee searches?

This is the preview of the Gap Map. Enter your company and category, and it maps your buying committee, asks Claude the pain-point question each persona brings to an assistant, re-asks your top absences in different words, and shows where you are cited, where you are missing, and who is named instead.

3 reports remaining today

How it works

  1. Map the committee. The tool generates four buying-committee personas for your category and the pain-point question each one asks an AI assistant, before they know which vendors exist.
  2. Query live. Each question runs against Claude in real time, plus an established-category query as a baseline.
  3. Score and rank. It measures where you're cited, where you're absent, and which competitors are winning the share of voice you're not.

Why buyer-committee AI visibility matters

B2B buyers increasingly start vendor research inside AI assistants, and they start with a problem, not your category name. AI models answer those early questions by citing third-party sources: analyst pages, buyer guides, comparison content. If those sources don't connect your brand to the buyer's problem, you're invisible at the exact moment a shortlist forms. Category-level visibility is the easy part. Pain-point visibility is where the pipeline is won or lost. Closing those gaps starts inside the building: a company brain gives every agent and every page the same story to tell, so the sources AI reads stay consistent. And when the baseline shows assistants telling your old story, the step-by-step fix is in How to fix what AI assistants say about your company.

Frequently Asked Questions

How does this relate to the Gap Map?
The Gap Map audits four systems: the message, the targeting, the motion, and the measurement. This baseline samples one part of the message system, what AI assistants tell your buying committee. It shows the kind of finding a Gap Map produces, on your own company, before any engagement.
Why does pain-point visibility matter more than category visibility?
AI assistants are taxonomic: they reliably surface vendors for established category terms (e.g. "best CLM software"). But buyers start earlier, with pain-point questions, before they know which category or vendors exist. Most brands are visible at the category level and invisible at the moments that actually start the deal. That gap is where pipeline leaks.
Which AI assistants do you query?
The baseline runs against Anthropic Claude in real time. The AI Shortlist Report runs the same kind of buyer question across eight frontier models from five labs.
Is this a one-time check or ongoing?
This is a one-time snapshot. AI answers shift as models and the web update, so a single reading shows where you stand today.

Built by Page Sands. 15+ years GTM leadership at Microsoft, ConnectWise, Drift, Avalara, and Blackbaud. It runs on the same method as a Gap Map engagement.