5-Minute Setup, Daily Insights

See exactly what AI tells candidates about you — and why

We query ChatGPT, Claude, and Gemini with the same questions candidates use. Then we analyze the responses, trace the sources, and show you exactly what to fix.

Process overview
5 steps
1

Real candidate questions

We ask what candidates actually ask: 'What's the culture like?'

2

Multi-model coverage

ChatGPT, Claude, Gemini — captured separately.

3

HR-ready analysis

Raw AI responses translated into actionable signals.

4

Source tracing

See where the AI narrative comes from.

5

Daily drift detection

Catch perception shifts before they cost you.

01Real candidate questions

We ask what candidates actually ask

67% of candidates now ask AI about employers before applying. We use the exact same questions they do — so you see exactly what they see.

  • "What is it like to work at [Company]?"
  • "Does [Company] have a toxic work culture?"
  • "How do employees describe leadership at [Company]?"
  • "Would you recommend working at [Company]?"
What you get:

See the exact narrative candidates get before they decide to apply (or not).

What is it like to work at [Company]?
Would you recommend working at [Company]?
Does [Company] have a toxic work culture?
02Multi-model coverage

We check every major AI model separately

Different models tell different stories. ChatGPT might say you're 'fast-paced,' while Claude calls it 'high-pressure.' We capture each model's response separately — because candidates use different tools.

  • ChatGPT (GPT-4)
  • Claude (Anthropic)
  • Gemini (Google)
  • And others as they emerge
What you get:

No blind spots. You see what every major AI tells candidates.

ChatGPT
Neutral

"Fast-paced environment with high expectations. Leadership is hands-on."

Claude
Risk flag

"High-pressure culture with demanding workloads. Some burnout concerns."

Gemini
Neutral

"Ambitious company with strong growth focus. Work-life balance varies by team."

03HR-ready signals

We translate AI-speak into HR action items

Raw AI responses aren't useful. We analyze tone, certainty, and recurring themes to give you structured signals you can actually act on.

  • Culture perception score
  • Leadership trust signals
  • Toxicity & risk flags
  • Burnout mentions
  • Psychological safety cues
  • Belonging indicators
What you get:

Clear scores and flags — not walls of text to interpret.

Culture perception score

Scored by tone, certainty, and recurrence.

Leadership trust signals

Scored by tone, certainty, and recurrence.

Toxicity & risk flags

Scored by tone, certainty, and recurrence.

Burnout mentions

Scored by tone, certainty, and recurrence.

Psychological safety cues

Scored by tone, certainty, and recurrence.

Belonging indicators

Scored by tone, certainty, and recurrence.

04Source tracing

We show where the narrative comes from

AI doesn't invent perception — it amplifies existing signals. We trace claims back to likely sources so you know exactly what to fix.

  • Glassdoor review patterns
  • News article mentions
  • Social media sentiment
  • Career site gaps
What you get:

Stop guessing. Know which sources are poisoning your AI perception.

What AI says

Synthesized, confident, narrative-driven

What sources show

Fragmented, opinion-based, historical

Mismatches are often more important than matches.
05Drift detection

We catch shifts before they hurt you

AI perception changes weekly. A good narrative today can turn toxic tomorrow. We run daily checks and alert you the moment something shifts.

  • New claims appearing
  • Sentiment changes
  • Tone shifts (positive → negative)
  • Persistent vs. fading issues
What you get:

Never be blindsided. Catch problems before they hit your pipeline.

Perception scoreDays
Narrative shift
  • New claims appearing
  • Sentiment changes
  • Tone shifts (positive → negative)
  • Persistent vs. fading issues
The Output

A report you can read in 3 minutes — and act on immediately

No data science required. Clear scores, specific claims, and actionable recommendations.

Executive summary (5 to 7 sentences)
Culture signal scores
Top recurring claims
Evidence and source notes
Change log vs previous periods
Suggested next actions

Employer AI perception

Noopex AI report

Executive summary

Clear, 7-sentence overview of how AI frames your culture, leadership tone, and any risk signals.

Culture signal scores

Snapshot with evidence and narrative notes.

Top recurring claims

Snapshot with evidence and narrative notes.

Evidence and source notes

Snapshot with evidence and narrative notes.

Change log vs previous periods

Snapshot with evidence and narrative notes.

Change log vs previous periods • Suggested next actions

67%

of candidates now use AI to research employers before applying

5 min

to generate your first report — no setup required

Daily

monitoring so you never miss a perception shift

Why Daily?

AI perception shifts weekly

Model updates, news events, and Glassdoor reviews can flip your narrative overnight. Daily checks mean you catch it fast.

Why Consistent?

Same prompts, every day

You can't track change if you keep changing the questions. We use standardized prompts so you see real trends, not noise.

Why Separate Models?

Each AI tells a different story

ChatGPT and Claude often disagree. You need to see both — because candidates use both.

Important boundaries

Perception is not truth. But it shapes behavior.

This platform does

  • Observe AI-generated employer narratives
  • Interpret perception signals
  • Highlight risks and shifts

This platform does not

  • Influence or manipulate AI outputs
  • Replace surveys or internal feedback
  • Claim objective truth

Designed for HR-grade responsibility

Public-signal based observation with simple, responsible data handling.

Right now, AI is answering questions about your company

Every day you wait, candidates are getting their first impression of you from ChatGPT. See what they see — in 5 minutes.

No integrations. No employee data. Just your company name.