The Primary Wedge

Stop tracking rankings.
Start tracking whether AI tells the truth about you.

AuditGPT checks how public claims, proof gaps, and brand descriptions may be interpreted by AI answer engines — so you can catch unsupported, overstated, or distorted claims before buyers do.

Example claim perception gap

What you claim on your site

Claim 1

“Industry-leading AI platform”

Claim 2

“Trusted by thousands”

Example risky claim, not AuditGPT language

“100% compliance guaranteed”

What AI tells buyers

AI Verdict

“No independent benchmarks found — treating as marketing claim.”

AI Verdict

“No logos or case studies linked on page — evidence gap.”

AI Verdict

“Absolute guarantee without linked SOC2/HIPAA docs — overstatement risk.”

This gap can cost credibility. AuditGPT shows where public support is missing.

What AI Engines Get Wrong

Overstated Claims

AI answer systems often compare claims against visible public evidence. If you say "number one" without proof nearby, the claim may be softened, ignored, or treated as unverified.

Proof Gaps

When evidence is buried on a PDF three clicks deep, answer systems may miss it. They tend to summarize what is easiest to find near the claim.

Competitor Displacement

If a competitor has weaker marketing but stronger visible evidence, answer engines may be more likely to cite that competitor in buyer research queries.

Sample AI Distortion Ledger

Your ClaimHow AI Interprets ItThe Answer Reality Fix
"The most advanced laser treatment in the city."Distortion RiskViewed as marketing puffery. No clinical backing found on page."The only clinic in [City] offering the FDA-cleared [Device] for acne scars."
"Trusted by thousands of enterprise clients."Evidence GapNo specific customer logos or case studies linked directly. Ignored by AI."Trusted by 2,000+ teams, including [Logo 1] and [Logo 2]." (with adjacent links)
"We guarantee 100% compliance."OverstatementLLMs often flag absolute guarantees without explicit SOC2/HIPAA documentation links."Built to HIPAA and SOC2 standards, audited annually." (link to trust center)
Remediation Speed

“In an anonymized reviewed case, competitor recommendations changed after remediation was observed over a 14-day review window.”

Claim Health Score

“Claim Health Score moved from 52 to 84 after 11 rewrites and 9 new proof blocks.”

Surfaced per Scan

“Early reviewed pages often surface multiple unsupported, weakly supported, or overstated claims.”

Claim Drift is everywhere.

Med Spa / Wellness

Treatments are heavily scrutinized. If your provider bios lack linked credentials or your before/after galleries don't explicitly state the devices used, AI engines (and informed patients) will discount your authority in favor of clinics that prove their work.

SaaS / AI Startups

"Powered by AI" is no longer a differentiator. If you cannot prove specific performance metrics, latency benchmarks, or data privacy guardrails, AI research agents comparing software vendors will drop you from the shortlist.

Example diligence scenario
A buyer or investor using an AI research agent may see unsupported product claims described as unverifiable. That can create avoidable diligence friction before your team gets to explain the nuance.
CX
Illustrative buyer-research scenario
Use as risk framing, not a guaranteed outcome claim.

Stop guessing what AI thinks of you.

Get a fast public-page claim snapshot to see exactly where your evidence gaps are.

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Step 2
Review findings
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Step 3
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