Brandwiki turns your credentials, cases, methodology, and product specs into a structured brand fact base: every fact approved, sourced, and consistent across channels, so AI has one authoritative record to cite.
When AI Cites You, Is It Right?
AI mentions your brand, but the details are off. It quotes a spec you retired three years ago. It hands you a competitor’s certification. Or it invents a description that sounds plausible and that you never wrote.
Every one of those failures has the same root cause: there is no authoritative, structured, checkable record of your brand, so the model assembles one from whatever secondhand material it can find. Your site says one thing, your social profile says another, a third-party directory still lists a version from five years ago. Nothing tells the model which one counts.
A brand fact base closes that gap. Who you are, what you do, why you’re credible: written out fact by fact, approved fact by fact, sourced fact by fact. AI reads one record instead of seven.
Five Categories of Brand Fact
| Category | What goes in |
|---|---|
| Products and services | Specs, scope, delivery model, use cases |
| Expertise and cases | Methodology, industry insight, client work and disclosable results |
| Credentials and reputation | Licenses, certifications, awards, press coverage, genuine client feedback |
| Advantage and difference | Substantive differences from peers, verifiable limits of what you do |
| Positioning and identity | Positioning statements, value proposition, founding story, brand voice |
Nothing outside those five gets in. A fact base is worth exactly as much as its credibility; mix marketing copy into it and you’ve spent that credibility.
What We Build
Structured intake
We pull in brand information scattered across your site, sheets, contracts, decks, and people’s heads, then break it into discrete, atomic, non-conflicting facts filed under the five categories. Each fact gets an identifier, a definitive wording, and a scope of use.
Sourcing and approval
Every fact carries its source and approval status. Approved facts enter the base; unsourced ones sit in a pending queue. This step is what makes the base usable as an authority: for any line AI quotes, you can point to where it came from.
AI-citable formatting
Approved facts get rendered into forms AI platforms actually read: structured FAQ, schema.org entity markup, LLM summary files, and depth content around your core capabilities. Accurate facts in the wrong format still don’t travel.
One source of truth, maintained
The same fact reads the same on your site, in your social bios, in third-party directories, and across content platforms. Update it once, sync the rest. When the business changes, the update runs the same approval pass, so retired versions stop circulating.
Brandwiki and AI-Friendly Websites
The two ship together often, and the line between them is clean:
| Brandwiki | AI-Friendly Websites | |
|---|---|---|
| Owns | What the facts are | How machines reach them |
| Delivers | Structured facts, approval workflow, messaging governance | Information architecture, structured data, crawl infrastructure, cross-channel consistency |
| Loop step | Define (01) | Build (02) |
Get the facts wrong and a well-built site just distributes the errors efficiently. Get them right with nothing to carry them and AI never sees them.
Proven Results
A professional services firm with more than a decade of offline reputation was effectively absent from major AI platforms. After we mapped, approved, and structured their brand facts, the fact citation rate in AI answers reached 72%: when AI discussed the firm, it quoted the firm’s own approved wording rather than something assembled elsewhere.
Who This Is For
- Brands AI has already gotten wrong: specs, credentials, or scope misstated
- Messaging spread across channels with no one owning consistency
- Firms with real depth in credentials, cases, and methodology that has never been structured
- Companies about to scale content production who need a fact base for agents to write from
Frequently Asked Questions
How is Brandwiki different from AI-Friendly Websites?
One owns what the facts are; the other owns how machines get to them. Brandwiki covers the facts themselves: wording, source, approval status. AI-Friendly Websites cover the carrier: information architecture, structured data markup, crawl infrastructure. You can buy either on its own, but the pair is what makes a complete step.
We already have a website and product sheets. Do we need a fact base?
Yes. Websites and sheets are written for people. The same credential is phrased three ways across three pages, an old spec is still live in some corner, case numbers sit in a few different decks. A person fills the gaps from context; a model cannot. A fact base collapses those scattered statements into one structured record with a source, an approval status, and a last-updated date, so it reads the same no matter where AI finds it.
Who approves the facts?
You do. We do the gathering, structuring, and upkeep. Every fact carries a specific source (a contract, a certificate, published coverage, an internal messaging doc) and only enters the base once you sign off. Anything unsourced or that you don't stand behind stays out. That gate is what separates a fact base from content marketing.
What does maintenance look like?
Your business changes, so the facts have to change with it. New credentials, new cases, revised specs, updated positioning: each goes through the same approval pass and then syncs to every channel. Brandwiki isn't a one-off deliverable. It's an ongoing discipline for keeping your messaging straight.