How teams fix AI perception gaps
Real companies, real challenges, real outcomes. See how teams discovered what AI was telling candidates about them — and what they did about it.
Powerdocs
How an AI startup cut through noise to build a qualified hiring pipeline
Challenge: Competing for AI talent against well-funded competitors with stronger brand recognition
Result: 23% increase in qualified candidate pipeline
Gavel
When AI confuses you with another company entirely
Challenge: AI assistants consistently confused the company with a legal tech firm of the same name
Result: Eliminated identity confusion in candidate pipeline
Langpatrol
Building AI reputation from scratch in a crowded market
Challenge: Zero brand visibility in AI conversations despite innovative technology
Result: Established presence in AI employer narratives
Goldscar
Discovering you don't exist in AI's mind
Challenge: No brand reputation in AI systems whatsoever
Result: Established baseline and built presence systematically
+23%
Pipeline increase
Powerdocs
0
Confused candidates
Gavel
+28%
Response rate
Langpatrol
✓
Baseline established
Goldscar
Patterns we see across companies
Every company's situation is different, but certain themes emerge consistently.
Perception forms upstream
Candidates form opinions through AI before visiting your careers page or talking to recruiters.
Invisibility has costs
Not appearing in AI responses isn't neutral — it means candidates can't verify you exist.
Small changes compound
Targeted fixes to AI perception often have outsized effects on recruiting metrics.
What's AI saying about your company?
These teams discovered their perception gaps and fixed them. Your situation is unique — see what AI is telling candidates about you.