Signal™ > Brand Fact-File
Brand Fact-File: LLM-Ready JSON-LD with Canonical
@ids and Evidence
Publish a public, machine-verifiable source of truth. Encode canonical @ids and evidence in JSON-LD so LLMs resolve your brand correctly and cite you consistently.
Trusted by founders, loved by marketers
Why a Brand Fact-File Matters for LLMs
LLMs resolve entities from consistent, verifiable facts. A public Fact-File encodes canonical @ids and evidence so models cite the right details and avoid drift.
Founding Data & Legal Entity
Publish founding date, jurisdiction, legal entity name, and HQ location with verification links.
Leadership Identities & Roles
Expose Person @ids, titles, concise bios, headshots, and authoritative profile links with last-verified dates.
Awards & Certifications
List issuer, credential ID, validity dates, and verification URLs so models can trust and reuse them.
Key Performance Metrics
Share public KPIs you can maintain with date stamps and sources; use ranges if needed to keep facts stable.
Partners & Integrations
Name counterparties and products as resolved entities, link to announcements or docs, and include start dates.
How We Build Your Fact-File
We don’t just collect brand data—we encode it in JSON-LD, link it to authoritative profiles, and validate it against live LLM queries so every AI crawler resolves you as a verified entity.
👂 Audit Brand Signals
We crawl your site and third-party citations to flag missing or inconsistent identifiers, schema fields, and entity references.
♾️ Structured Markup Implementation
We embed JSON-LD across your site, encoding canonical @ids, evidence fields, and claims in formats AI systems parse and reuse.
🕵 Entity & Knowledge Graph Linking
We connect your brand nodes to Wikidata, Crunchbase, Google Business Profile, and trusted directories to reinforce authority and disambiguation.
🧪 Testing & Validation
We run schema validators and targeted AI prompts to confirm your Fact-File surfaces consistently in knowledge panels and LLM responses.
🩻 Ongoing Monitoring & Updates
We track drift, re-verify identifiers, and update linked profiles so your Fact-File stays synchronized with live AI surfaces.
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Brand Fact-File FAQs
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It’s a public, machine‑verifiable JSON‑LD source of truth that encodes your canonical @ids and evidence so LLMs resolve your brand correctly and cite you consistently.
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LLMs resolve entities from consistent, verifiable facts; a Fact‑File centralizes those facts with canonical @ids and evidence to prevent drift and improve citation reliability.
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Founding data & legal entity details; leadership identities & roles; awards, licenses & certifications; key performance metrics; and partners & integrations—each with verification links, IDs, or date stamps.
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We encode facts in JSON‑LD, link them to authoritative profiles, and validate with live LLM queries—backed by an audit of current signals, structured markup implementation, knowledge‑graph linking, schema tests, and ongoing monitoring.
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Wikidata, Crunchbase, Google Business Profile, and other trusted directories to strengthen disambiguation and authority.
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Testing & validation (schema validators + targeted AI prompts) and ongoing monitoring to re‑verify identifiers and update linked profiles as things change.
Keep Exploring Signal™
Hallucination Monitoring
Protect your brand by detecting false or drifting LLM responses before they damage trust.
We run a fixed prompt bench across ChatGPT, Claude, Gemini, and Perplexity, then compare answers to your Brand Fact-File. When errors appear, we remediate them and synchronize corrected facts across AI-read surfaces.
Alignment Audits
Ensure LLMs resolve your brand correctly by eliminating ambiguity across pages, profiles, and schema.
We verify canonical @ids, aliases, and entity data across your site, Wikidata, Crunchbase, and Google Business Profile. Each audit maps inconsistencies to your Brand Fact-File with evidence and prioritized fixes, giving you a clear path to correction.
