AI Identity Framework
AI Identity Framework is the structured model Business Visibility Group uses to define how a business should look to AI across identity, signals and presence. It gives a clear way to plan and review how a business appears to the major models.
What the AI Identity Framework Covers
The framework is a simple way to break down how AI systems see a business. It groups the work into three parts. First is core identity, second is the signals that support that identity, and third is the presence across the places that matter for buyers.
Each part has its own checks and its own work. Together they shape how a model understands the business and when it feels safe to name it in answers.
The Three Parts of the Framework
Business Visibility Group uses the AI Identity Framework as a map. The three parts below are used in every client review and build plan.
Identity
- Clear statement of what the business does for buyers
- Simple description of who the business serves
- Short list of main offers that match real work
- Consistent name and wording across core pages
Signals
- Service pages that support the stated identity without conflict
- Concept pages that explain key ideas in calm plain language
- Evidence of work that matches the promised outcomes
- Internal links that connect related topics in a clear way
Presence
- Visibility on the main business site with stable core pages
- Mentions on other sites that match how the business describes itself
- Clean footprint with fewer stray profiles that point to old versions
- Content that shows up where buyers actually ask questions
When these three parts line up, AI systems can read a stable picture. That makes it easier for them to treat the business as a clear and safe option for related questions.
How Business Visibility Group Uses the Framework
Business Visibility Group uses the AI Identity Framework at the start of each client relationship and then through ongoing work. It guides what to fix first, what to build next, and how to measure progress in a way that makes sense for AI systems.
Each new page, each proof point, and each clean up step is tied back to identity, signals or presence. This keeps the work focused on how the business will look to the models that matter instead of chasing short term tricks.