We read a small set of public pages to identify what you sell, who you sell to and the proof already visible on your site.
Find out whyAI recommendsthem insteadof you.
Measure the buyer questions that matter across ChatGPT, Gemini, Claude and Perplexity. See the recurring competitors, cited evidence and exact gaps behind the shortlist.
It measures the buying questions that influence AI shortlists — then shows you what to improve.
ShortlistTrace tests the questions real buyers are likely to ask when choosing a provider. It shows whether your company appears, which competitors appear instead, what evidence AI systems are citing, and what you can change on your website to improve your chances of entering those shortlists.
It does not promise a permanent “AI ranking.” The goal is repeatable measurement, evidence and a concrete action plan.Instead of branded vanity queries, we create commercial questions such as “best provider for…”, comparisons, use cases and buying criteria.
ChatGPT, Gemini, Claude and Perplexity are measured several times so one unusual answer does not become the whole story.
You see recurring competitors, cited sources, lost buyer questions and the evidence patterns associated with shortlist wins.
The Full Audit turns the strongest gaps into Fix Briefs: target page, sections to add, proof required and how to validate the change later.
Not another “AI visibility score.”
ShortlistTrace follows the chain from buyer question → AI answer → recommended company → cited source → website evidence → action.
Measure the shortlist
We generate commercial, non-branded buyer questions from the actual business and repeat them across four AI engines.
Trace why competitors win
See which competitors recur, which sources are cited, and which evidence patterns show up around winning answers.
Turn gaps into Fix Briefs
Get an implementation-ready plan: target page, sections, proof requirements, acceptance criteria and a same-panel recheck.
Different engines build different shortlists.
That disagreement is useful. ShortlistTrace separates repeat stability inside each engine from cross-engine agreement so you can see what is durable and what is volatile.
ChatGPT
Search-oriented surface
72% repeat agreement sampleGemini
Search-oriented surface
58% repeat agreement sampleClaude
Web-search response
44% repeat agreement samplePerplexity
Live web response
63% repeat agreement sampleTransparent methodology. No magic ranking claims.
Frozen buyer panels, repeated observations, explicit confidence labels and methodology versioning keep historical comparisons honest.
Open a sample Full Audit.
Explore a fictional client report with 156 observations, four-engine breakdown, competitor patterns, an evidence path and implementation-ready Fix Briefs. It is the clearest way to understand what the paid layer contains.
Not a screenshot. A real sample report page.
- Recommendation, mention and citation metrics
- Breakdown by AI engine
- Recurring competitor shortlist
- Evidence chain from question → company → source
- Example Fix Briefs and next actions