Mention tracking alone
- Records whether your product appeared
- Reports changes in mention frequency
- Lists cited sources
- Compares visibility with competitors
- Leaves your team to interpret the results
Why Kelsey
A mention is not a market position
AI answers can change every time they are generated. Kelsey finds the product narrative that persists beneath those changes, verifies it against your product truth, and shows which website evidence will change what buyers are told.
The problem
AI search does not have a stable ranking
Ask Google where your page ranks and it can give you a position.
Ask an AI the same buyer question five times and your product might appear, disappear, move behind a competitor, or be described differently in every answer.
Counting those mentions is useful. It still does not tell you what buyers are repeatedly being taught about your product.
Kelsey analyzes the patterns beneath the changing answers.
Mentions change. Position is the pattern.
The difference
Tracking is the starting point, not the conclusion
Mention tracking answers an important question: did your product appear? Kelsey continues the investigation. It identifies the narrative AI repeatedly assigns your product, the decision criteria shaping recommendations, whether the claims are accurate, which sources support them, and what your website fails to prove.
Kelsey
- Identifies the market narrative behind the mentions
- Shows which buyer criteria each competitor owns
- Verifies AI descriptions against approved Product Facts
- Traces claims to the sources and pages shaping them
- Prepares the website change most worth testing
- Measures whether the position changed after publishing
The questions Kelsey answers
Understand the recommendation, not just the result
How is AI positioning our product?
See the category, audience, strengths, weaknesses, and use cases AI repeatedly associates with your product. Compare that narrative with the position assigned to your competitors.
Which decision criteria do competitors own?
Find the requirements that repeatedly influence recommendations, such as implementation, integrations, security, migration, support, or proof of results. See where buyers are being given more confidence in a competitor.
Is what AI says actually true?
Compare AI-generated descriptions with company-approved Product Facts. Find inaccurate, incomplete, outdated, and unsupported claims before they become part of the buying conversation.
Why does AI believe it?
Trace each finding back to the answers, external sources, product pages, and supporting passages shaping it. See whether the problem begins with missing proof, conflicting claims, weak site structure, or evidence AI cannot retrieve.
What should we change?
Turn the investigation into a specific website improvement. Kelsey identifies the claim, proof, page, or comparison that should change first, then measures the affected buyer questions after publication.
Example
Go from “Salesforce appeared more often” to an explanation your team can act on
Buyer question
Which CRM is best for a growing mid-market sales team?
What mention tracking finds
Salesforce appeared in 82% of the answers. Northstar appeared in 31%.
What Kelsey finds
Northstar is consistently positioned as flexible and easy to adopt. Salesforce is positioned as the safer enterprise choice.
The largest gap is implementation confidence. Salesforce is repeatedly associated with migration support, onboarding, and reporting proof.
AI also describes Northstar as having limited enterprise SSO support. Northstar’s verified Product Facts show that SAML SSO is available, but that evidence is difficult to find and missing from the relevant comparison page.
Recommended change
Add verified SSO, implementation, and migration evidence to the Salesforce comparison page. Support it with a named customer example, then measure the affected buyer questions for 30 days.
You do not just learn who appeared. You learn why they won, where the answer is wrong, and what your team should change.
Tracking
Tracking is still built into Kelsey
Kelsey tracks buyer questions across ChatGPT, Gemini, and Perplexity, monitors competitors and citations, and records how answers change over time.
The difference is what happens next.
Tracking supplies the evidence. Kelsey turns that evidence into competitive positioning, claim verification, website improvements, and measurable action.
ChatGPT Repeated answers
Gemini Competitors + citations
Perplexity Position over time
Founding access
See what AI is teaching buyers about your product
Apply for a fully configured Kelsey workspace with your buyer questions, competitors, repeated scans, verified Product Facts, AI Accuracy findings, supporting sources, website evidence gaps, and first recommended change already prepared.
Ten B2B software companies will receive 30 days of founding access. No card or required call.