Brand Facts Page: Give AI the Data It Needs to Recommend You

TL;DR

A Brand Facts page is a clean, Wikipedia-style page containing every verifiable fact about your business: founding year, founders, headquarters, certifications, product specs, pricing, social profiles, and key policies. AI assistants run verification checks before making recommendations. When they can easily find and verify facts about your company, they recommend you with higher confidence. This page reduces the risk of AI hallucinating incorrect information about your brand.

What Is a Brand Facts Page?

A Brand Facts page is a structured, factual page that serves as the canonical source of truth about your business. Unlike a typical About page that tells your story, the Brand Facts page presents hard data in a format optimized for machine readability.

Think of it as a Wikipedia infobox for your company. It lists every verifiable data point in a clean, labeled format that both humans and AI can scan in seconds. Company name, founding year, headquarters, certifications, service areas, pricing, social profiles. All in one place.

AI assistants need to verify claims before recommending a business. When an AI is deciding whether to recommend you, it looks for facts it can cross-reference. The Brand Facts page makes that verification instant. No digging through paragraphs of marketing copy. No piecing together scattered data from multiple pages. Just clean, structured, verifiable facts.

Why It Matters

AI assistants verify before recommending. If they cannot find basic facts (founding year, location, certifications), they lower their confidence in recommending you. Missing data is a signal that the business may not be established or trustworthy enough to recommend.
Reduces AI hallucination risk. When AI cannot find facts, it sometimes generates plausible-sounding but incorrect information. A Brand Facts page gives AI accurate data to cite instead of guessing. You control the narrative by providing the source material.
Consistency across platforms. When your facts are in one canonical location, all AI platforms pull the same accurate information. No more conflicting data between ChatGPT, Perplexity, Gemini, and Claude.
Signals transparency and authority. A comprehensive Brand Facts page shows that your business has nothing to hide. Sparse company data is a red flag for AI recommendation systems. Detailed, verifiable data is a trust signal.

Our Process

Fact Compilation

We gather every factual data point about your business: founding year, founders, headquarters, employee count, certifications, awards, product specs, service areas, pricing ranges, social profiles, and key policies. If it is verifiable and relevant to AI trust signals, it goes on the list.

Wikipedia-Style Layout

We structure the page with a floating infobox (like a Wikipedia sidebar) containing key facts at a glance, followed by detailed sections for products and services, history, certifications, and contact information. The layout is designed so AI can extract specific data points without parsing narrative text.

Structured Data Embedding

Every fact gets encoded in Organization schema markup in the page header. This gives AI two access methods: readable HTML for crawlers that parse page content, and structured JSON-LD for systems that read metadata directly. Double coverage means no fact gets missed.

External Verification Links

We link facts to external proof: certification bodies, BBB profiles, government registrations, and industry directories. When AI can cross-reference your claims against third-party sources, it builds significantly more trust than self-reported data alone.

Regular Updates

Brand Facts is a living document. New awards, key hires, product launches, pricing changes, and updated certifications all get added as they happen. Stale data erodes AI trust over time, so we establish an ongoing update protocol to keep everything current.

What You Get

A fully built Brand Facts page with Wikipedia-style infobox layout designed for both human visitors and AI crawlers
Complete fact compilation covering all verifiable business data, from founding details to certifications to pricing
Embedded Organization schema markup for machine readability, giving AI structured JSON-LD alongside the visible page content
External verification links connecting your claims to third-party proof sources like certification bodies, directories, and registrations
Ongoing update protocol so the page stays current as your business evolves, preventing stale data from eroding AI trust
Reduced hallucination risk by giving AI accurate, structured data to cite instead of generating guesses about your business

Real-World Example

A professional services firm noticed AI assistants were giving incorrect information about their founding year, office locations, and service areas. Sometimes the AI would confuse them with a similarly named competitor. Prospects were arriving with wrong expectations, and the firm was losing deals before the first conversation even started.

We built a Brand Facts page with verified data and Organization schema. Every key fact was labeled, structured, and linked to external verification sources. Within 4 weeks, AI responses about the firm became accurate. Their recommendation rate increased from 8 to 29 out of 50 queries, partly because AI could now verify their credentials before recommending them. The hallucination problem disappeared entirely.

How This Connects

Brand Facts works alongside the Answer Hub (Layer 2) to create a complete picture. While the Answer Hub provides the recommendation narrative, the Brand Facts page provides the verification data. AI uses both: the Answer Hub to understand why you are worth recommending, and the Brand Facts page to confirm the claims are accurate.

The facts on this page also feed into the Machine-Readable Data file (Layer 4) and Schema Markup (Layer 5). The structured JSON and schema markup encode the same facts in formats AI can process programmatically. Third-party citations (Layer 6) become more effective when AI can cross-reference them against your Brand Facts. Every layer reinforces the others.

Frequently Asked Questions

How is a Brand Facts page different from an About page?

An About page tells your story. It is narrative, emotional, and designed for human visitors. A Brand Facts page presents verifiable data in structured format optimized for machines. Think Wikipedia infobox versus a company blog post. Both have their place, but only the Brand Facts page gives AI what it needs for verification.

What facts should be included on a Brand Facts page?

At minimum: company name, founding year, founders, headquarters address, employee count, service area, products or services with pricing, certifications and awards, social media profiles, and contact information. The more verifiable facts you include, the higher the AI confidence when recommending you.

Does the Brand Facts page need to be public?

Yes. The page must be publicly accessible and indexable by search engines and AI crawlers. Do not put it behind a login, block it in robots.txt, or use noindex tags. The whole point is to make your facts as easy as possible for AI to find and verify.

How often should the Brand Facts page be updated?

Update it whenever significant business changes occur: new products, pricing changes, certifications, awards, leadership changes, office moves, or updated policies. At minimum, review the page quarterly. Stale data is worse than no data because it can lead AI to cite outdated information.

Can I just add facts to my existing About page instead?

You can, but the format matters. About pages are typically narrative and unstructured. AI has a harder time extracting specific facts from flowing paragraphs. A dedicated Brand Facts page with structured layout, labeled data fields, and embedded schema is significantly more effective for AI verification.

Make Your Brand Verifiable

Give AI the facts it needs to recommend you with confidence. A Brand Facts page turns scattered company data into a single, structured, verifiable source of truth.

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