crunchbase

crunchbase.com

Last audited: May 3, 2026

Key KPIs

AIO score

Needs work

50

out of 100

Hallucinations detected

None detected

0 / 1

No sampled questions flagged

How hallucinations are detected

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Bottom line up front

Audit Result: crunchbase.com has low observed hallucination risk in this Ghost Q&A sample (Score: 0/1) due to non-compliant LLM crawlability — weakest pillar in this run was Technical & crawlability (3/100).

Diagnostic summary. Our audit detected that crunchbase is comparatively weakest in technical & crawlability (3/100); therefore, the raw HTML may not reliably surface everything LLM crawlers need to quote your brand accurately.

Hallucination evidence (Ghost Q&A)

Reference: https://crunchbase.com/

Page: https://crunchbase.com/

What is this, and how does it make my life better?

OK

Red panel: first automated snapshot. Green panel: what visitors see on the hydrated page — automation should match this.

This is what the AI crawler sees


                    01  Crunchbase is a leading platform for company insights, providing information on early-stage startups to Fortune 1000 companies. It helps users gain insights into competition, uncover startup trends, and access company funding data. This can improve your life by enabling you to find new business prospects, stay informed about industry trends, and make data-driven decisions to beat competitors and meet quotas.
                  

This is what humans see and the AI crawler should too

                    01  This is a platform that provides predictive company intelligence and insights into private market activity, helping users make better decisions faster. It can improve your life by offering personalized analysis of companies that matter to you, allowing you to discover trends, funding rounds, and growth predictions in the tech industry, particularly in sectors like AI and web3.
                  
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Executive summary & pillar breakdown

Executive summary

  • AIO readiness is needs work (50/100), indicating inconsistent visibility that can improve with targeted fixes.
  • Hallucinations detected: 0 / 1, meaning those sampled answers lined up across the ways we read the page in this run.
  • Coverage scope is partial with high confidence, so this audit should be treated as decision-ready.

Category breakdown

  • Technical & crawlability3
  • Renderability & JS9
  • Structure & readability21
  • Metadata & consistency17

Coverage: partial · Certainty: high

Prioritized remediation

Compare to peers

Report FAQ

What is the Ghost test, and how is hallucination detected?

The Ghost test is a short Q&A pass on pages we sample. We ask ChatGPT the same question twice: once using the page's raw HTML (what you get from a simple fetch, before JavaScript runs—like a basic crawler), and once using the visible text after the page's JavaScript has run (what we capture with a real browser). If the raw-HTML pass can barely answer or says the information isn't there, but the fully rendered pass can answer in a clearer, fuller way, we flag hallucination risk—because an AI that only saw the static HTML could answer very differently from one that sees the page the way a visitor does.

How is the AIO score calculated?

The AIO score combines four pillar scores—how discoverable the site is, how reliably content shows up for automation, how clear the layout and wording are, and how well titles and previews match the page. The total is shown as a single 0–100 number so you can compare runs over time.

What does confidence mean?

Confidence reflects how complete and consistent the evidence was in this audit. Higher confidence means we had enough stable signal to treat the results as a stronger guide; lower confidence means you should treat it as directional and validate anything critical.

Why can hallucinations be detected with a decent structural score?

Structure is about organization and readability. Hallucination flags compare whether answers match across different ways automation reads the same page. A site can look well organized yet still show different facts in different readings, which is how inconsistent AI answers slip through.

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