Market presence
Who appears when buyers ask for a shortlist—and who vanishes when the model starts researching.
Buyers are asking AI about your category, your product, and your competition. We make those answers visible, measurable, and useful.
Search rankings show who gets found. AI answers reveal who gets considered, how products are described, and which facts buyers carry into the room.
LRG LABS builds evidence-led research systems for this new layer of the market. We test real buyer questions across models, verify the claims against primary sources, and show vendors exactly where perception and reality diverge.
Not sentiment. Not synthetic personas. Observable claims, tested repeatedly and anchored to evidence.
Who appears when buyers ask for a shortlist—and who vanishes when the model starts researching.
Every product, pricing, and compliance claim is decomposed and judged against a verified record.
When prices, capabilities, or policies change, we trace which models keep repeating the old reality.
See which alternatives enter the answer, what AI says about them, and whether those comparisons are defensible.
“The assistants shaping your buyers’ shortlists misprice competitors’ add-ons, invent plan gates, and cite pages that say no such thing.”Open the competitive view
Our helpdesk pilot turns hundreds of model outputs into an audit that a product, marketing, or competitive intelligence team can actually act on.
An invented SCIM capability traced to a third-party page—and a dead citation.
FALSE / UNSUPPORTEDA six-month-old price repeated even when assistants searched the live web.
STALE / LOCALISATIONA vendor recommended in 20/20 memory-only runs, then absent once research began.
ZERO-ROWEvery conclusion connects back to the answer, prompt, source, capture date, and immutable evidence hash.
Freeze real buyer questions and define the market panel.
Run repeatable captures across models, tiers, and search modes.
Decompose claims and judge them against first-party evidence.
Track drift, decay, and competitive movement over time.
We’re working with software vendors who want an evidence-led view of how AI represents their market.
Explore the proof of concept