Your buyers are asking AI who to buy, long before they ever request a demo.See how we measure it →
Product

A Search Console for AI answers.

Pick44 turns “how does AI talk about us?” into a measured, monitored instrument — across GPT-5 mini, Claude Haiku 4.5, Gemini 2.5 Flash, and Perplexity Sonar.

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OBSERVING RECOMMENDATION SHARE ACROSS
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8 models · last tested 2h ago
The questions it answers

Six questions every founder should be able to answer about AI.

01
Does AI recommend us or our competitor?
See, per model and blended, whether buyers asking AI are sent to you — or to a rival.
02
Which buying queries are we invisible in?
The high-intent questions where you never appear, ranked by recoverable pipeline.
03
Which competitor is winning?
Displacement scoring shows exactly who AI names above you, and how often.
04
What sources does AI trust?
A source-trust map of owned, editorial, community, and third-party evidence.
05
Are AI answers wrong or stale?
Factual-error and outdated-claim detection on every stored answer.
06
Did our visibility improve or drop?
Weekly rescores with confidence-labeled deltas and an operational alert feed.
03 · How Pick44 observes AI

An instrument-grade pipeline, not a black box.

Domain + competitors
input
Query set
150 buying Qs
AI models
4 engines
Extraction parser
rank + mention
Score engine
weighted
Dashboard
monitor
Alerts
weekly
05 · Source trust map

See exactly which sources teach AI what to say about you.

AI modelsSourcesVendors
GPTCLGMPXDocsG2RedditSchemaBlogOrbitDevPCloud
citedpositive sourceeditorialcompetitor advantage

Find out who AI recommends instead of you.

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