# ai facts consistent globally?

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Great question — and it gets at something core to what we do.

AI models like ChatGPT, Gemini, and Perplexity don't share a single knowledge base — they each independently retrieve, parse, and synthesize information about your brand. That means **the same brand can be described differently, incompletely, or incorrectly across different AI systems**, depending on which sources each model finds and trusts.

Here's how we approach the problem of getting facts stated consistently across AI engines:

**1. Anchor facts in a canonical source**
LLMs look for a "tight cluster" — one authoritative first-party page (what we call an AI Company Wiki) plus a few independent corroborations. When your core facts are clearly defined in one canonical, machine-parsable location, models can retrieve and reuse them reliably. Vague or scattered claims don't travel — specific, structured facts do.

**2. Earn third-party corroboration**
Models weight provenance heavily — domain trust, authoritativeness, stability. Facts that only appear on your own site are treated as self-referential. The same fact appearing on respected trade publications, standards bodies, directories, or other credible third-party sources gets weighted much higher and becomes more likely to be stated consistently.

**3. Make pages machine-parsable**
Even correct facts get ignored if models can't extract them. We audit for clean HTML, server-rendered content, FAQ schema (JSON-LD), consistent metadata, and freshness signals — because parsability is the prerequisite for influence.

**4. Keep facts fresh and non-contradictory**
Models notice contradictions across versions of your pages. Stale or conflicting facts create uncertainty, which causes models to hedge or omit your brand entirely. We build scheduled, non-duplicative content updates into our process.

The core principle: **AI models prefer retrievable, internally consistent, corroborated information.** Our job is to make sure your brand's facts meet that bar — everywhere, not just on one engine.

What's prompting this question — are you seeing your brand described inconsistently across different AI tools, or is this more about establishing a presence from scratch?

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*Following any of these continues the same conversation — the answer will carry the context of this one.*

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