SYNTHIC

Protect · Hallucination Defense

Catch the lies before your customers do.

Engines answer confidently, and sometimes they are confidently wrong about you. Synthic crawls your site for ground truth, asks each engine about you, and checks every claim against what you actually say.

Hallucination scan · claims about youSample

Claims found

24

Inaccurate

6

corrections ready

Unverifiable

5

no page says either way

  • “Synthic starts at $99/month.”

    → Actual: free first audit, Founder at $49/mo

    Inaccurate
  • “Supports ChatGPT, Claude, Gemini, Perplexity, Grok.”

    ✓ Matches the site

    Accurate
  • “Founded in San Francisco.”

    Site is silent on location

    Unverifiable
  • “No longer offers schema generation.”

    → Schema & llms.txt are live features

    Inaccurate
FIG.00 — claim → verdict, with the correction · illustrativePROTECT

3

verdict types

3

severity levels

live

ground truth crawl at scan time

1

correction per inaccurate claim

01

Anatomy

How it's built, part by part.

01Ground truth

Your site is the source of truth. Literally.

Your pages, crawled at scan time, are the only reference. Each claim gets a verdict against them — supported, contradicted, not addressed — and a contradicted claim gets a correction written from those same pages.

ground truth

Your site, crawled live at scan time

⇄

engine claims

What each engine says when asked about you

verdictmeaning
accuratesupported by what your site says
inaccuratecontradicted by your site — correction written from your own content
unverifiableyour site is silent — a page to write, or a claim to let stand

severity: low · medium · high — high for wrong pricing, wrong product claims, brand confusion

FIG.01 — VERDICTS · LIB/ANALYSIS.TS

02Triage

Fix the brand-damaging errors first.

Wrong pricing and mistaken identity are high. A stale team size is low. Findings land in the Action Center in that order, and a new high-severity finding can page Slack or email the moment it appears.

audit_results · one row per answerstored verbatim
enginetextwhich engine answered
modeltextthe exact model id used
prompttextthe question, as sent
response_texttextthe answer, as returned
mentionedbooldid it name the brand
prominence0–100how early, how central
sentimentenumpositive · neutral · negative · absent
competitors_mentionedtext[]who else it named
citationsurl[]sources it cited
mention_basisenumretrieval · training
runs · mention_count · varianceint · int · realmulti-run agreement
latency_ms · capture_method · created_atint · text · timethe evidence line
FIG.02 — THE ANSWER THE CLAIM CAME FROM
02

What you get

Three things, done properly.

01

Claim-by-claim verdicts

Each thing an engine says about you is checked against your live pages: accurate, inaccurate or unverifiable.

02

Severity triage

Wrong pricing and mistaken identity rank high; a stale team size ranks low. Fix in that order.

03

Corrections you can publish

For every contradicted claim, a correction written from your own content — copy, paste, re-scan.

03

Specification

Inputs, outputs, cadence, evidence.

Hallucination Defense · specv1
Ground truth
Your pages, crawled live at scan time (Firecrawl or direct fetch) — never cached from a previous scan
Engines
Every engine connected to the workspace; Gemini on the free plan
Verdicts
accurate · inaccurate · unverifiable, each with the supporting or contradicting passage
Severity
low · medium · high — high for wrong pricing, wrong product claims, brand confusion
Outputs
Findings ranked by severity; a correction per inaccurate claim written from your own content
Downstream
Findings feed the Action Center; an alert rule fires on new inaccurate claims
Where it lives · sidebar
Next: Agent Analytics & Crawler Access

The answer is being written right now.

Run a live audit and see exactly where you stand — before your competitor does.

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