Secondary research path
Scan public docs, pricing, changelogs, reviews, and APIs to surface contradictions, assumptions, and competitive gaps. This is an entry path, not the whole product. Move only the highest-priority findings into the reviewed execution lane.
No product access required. Give it a URL and Public Signals maps what matters before any internal workflow opens.
Probes well-known paths (/docs, /pricing, /changelog, /api, /blog). AI expands the source map with additional relevant URLs.
Fetches and fingerprints content. Section-level change detection on re-scan, so no manual diffing is needed.
Five AI extractors (marketing, docs, changelog, reviews, API) produce structured claims with confidence scores.
Structured findings, contradictions, and handoff-ready artifacts.
See the research outputsEach output includes confidence scoring and source links that make the handoff into Meeting-to-Execution reviewable.
Core Deliverables
Complete product intelligence briefing composing all sub-deliverables into a single deliverable.
Entities, relationships, and vocabulary extracted from public sources.
End-to-end workflows with friction points, gaps, and assumptions surfaced.
Competitive Intelligence
Feature-by-feature comparison across companies with AI-generated strategic insights.
Where you lead, trail, or have gaps entirely vs. a competitor.
Messaging, audience, and value proposition comparison across competitors.
Every drift item includes severity, feedback from both sides, and a direct link to the source material.
Marketing promises vs. documented limits
Deprecated features still promoted in docs
Review complaints contradicting marketing claims
Sample Drift Finding
MARKETING CLAIMS
"Mission Control is included in every Builder workspace"
Source: /pricing
DOCS SAY
"Builder workspaces pause affected capabilities at monthly caps"
Source: /docs/api/rate-limits
Confidence: 0.92 · Detected 3 days ago
Add competitors manually or discover them from review sites, market directories, and product comparisons before anything enters the operator workflow.
Competitors found from G2, Capterra, Trustpilot, Product Hunt, and market comparisons.
Feature matrix with structural (Jaccard similarity) and semantic AI matching.
Auto-generated review source URLs that capture the customer voice alongside the company narrative.
Sample Feature Matrix
AI-generated from public docs and API references
Reviews and feedback are aggregated, clustered by topic, and scored for sentiment. Track how perception aligns (or conflicts) with the company's public messaging.
Recurring themes extracted from reviews across G2, Capterra, Trustpilot, and Product Hunt.
Track which topics are heating up and where sentiment is shifting over time.
Surface gaps between what customers expect and what the product delivers.
Health scores, alerts, scan history, and quick access to all deliverables. One dashboard to understand your product intelligence.
Health scores per company, recent alerts, scan history, and quick deliverable access.
Auto-alerts on new drift, significant signal changes, and sentiment spikes.
Resolve, ignore, or reopen drift items. Turn detection into an actionable workflow.
Schedule re-scans so the public-signal picture stays current before you move findings into the operator workflow.
Daily, weekly, or monthly cadence. Your intelligence stays current automatically.
Every scan recorded with stats: sources discovered, content captured, claims extracted, drift found.
Detect signal changes across runs: new features, messaging shifts, emerging patterns.
Every deliverable is shareable. Every finding is exportable. Feedback-led outreach replaces generic cold emails.
Generate time-limited share links for any deliverable. Recipients see a full feedback viewer with claims, confidence scores, and source references. No login required.
Export drift items directly to Linear or Jira as actionable tickets. Each includes contradiction details, feedback, and severity.
Generate feedback-led email and DM outreach from deliverables and drift findings. Specific contradictions, linked feedback, clear value prop.
"We generated this Spec Pack from your public sources. Here are 3 contradictions with feedback."
MCP tools let assistants inspect the same public-signal research lane without turning research into hidden execution.
Start with one governed lane instead of claiming the whole stack on day one.
Keep existing tools as bounded bridges while the first reviewed workflow proves itself.
Run the lane manually, with operator approvals, or through Mission Control with visible queues and human review.
Same contract core across app UI, MCP tools, API routes, and generated interfaces.
No account required. Paste a URL and go.
Paste a URL
Any company's public site
Get a Spec Pack + Drift Register
Structured deliverables with feedback
Share with stakeholders
No login required
Public Signals should help you decide what enters Meeting-to-Execution first. Promote research into a governed workspace only when the findings justify a live workflow.
Scan a public URL and review the source-linked findings immediately.
Choose only the findings that deserve a governed operator workflow.
Open Meeting-to-Execution in Sandbox or Builder when the research needs approved work and guarded handoff.
Sandbox first. Builder second. Mission Control later.
See pricingStart with a URL. Move only the highest-priority findings into Meeting-to-Execution.