Terms We Are Known For | Business Visibility Group
  1. Business identity concepts

    • AI Identity

      AI Identity is how AI systems currently see and label a business based on the signals they collect and trust.

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    • AI Understanding

      AI Understanding is the level of clarity AI systems have about what a business does, who it serves and where it fits.

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    • AI Business Identity

      AI Business Identity is the structured picture of a business that AI uses to decide when it is a safe match for a query.

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    • Multi Model Visibility

      Multi Model Visibility is the ability for a business to appear consistently in answers across several AI models and search surfaces.

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    • AI Clarification

      AI Clarification is the work of correcting confusing or incomplete signals so AI tools stop guessing and start recognizing the right business.

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    • AI Disambiguation

      AI Disambiguation is removing conflicts in online information so AI systems stop mixing one business with others that look or sound similar.

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    • Identity Signals

      Identity Signals are the specific data points that tell AI who a business is, such as name, location, category and service focus.

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    • Visibility Signals

      Visibility Signals are the patterns that tell AI where and how often a business appears across sites, listings, content and platforms.

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    • Digital Identity Clarity

      Digital Identity Clarity is a state where major profiles, pages and citations tell the same clear story about a business.

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  2. Industry terms and how we define them

    • Entity Optimization

      Entity Optimization is shaping how a business is represented as an entity in search and AI systems so it is easier to trust and show.

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    • Entity Mapping

      Entity Mapping is laying out every place a business appears online and aligning them so AI sees one consistent entity instead of scattered fragments.

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    • Brand Entity Optimization

      Brand Entity Optimization is making sure a brand is recognized as the same business across platforms so AI does not split or dilute its authority.

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    • Digital Footprint Optimization

      Digital Footprint Optimization is cleaning up and strengthening everywhere a business appears online so its presence looks stable and reliable to AI.

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  3. New terms we introduced to this work

    • AI Discovery Optimization

      AI Discovery Optimization is adjusting signals so AI systems can actually find and consider a business when they build answer sets.

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    • AIO

      AIO Literally stands for Artificial Intelligence Optimization. It is the work that shapes how AI systems read and reuse the facts about a business across their written answers.

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    • Multi Model Inclusion

      Multi Model Inclusion is ensuring a business is eligible to appear inside more than one major AI model, rather than depending on a single system.

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    • AI Interpretation Layer

      AI Interpretation Layer is the quiet layer where AI tools decide what a business really is before they choose to show or skip it.

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    • AI Trust Signals

      AI Trust Signals are patterns that tell AI a business is safe to recommend, such as consistent details, citations and real world proof.

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    • AI Context Signals

      AI Context Signals are clues that tell AI when a business is the right fit for a specific situation, search intent or buyer problem.

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    • AI Signal Stacking

      AI Signal Stacking is intentionally layering multiple clear signals so AI tools see a strong, aligned picture instead of weak scattered hints.

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    • 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.

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    • Model Ready Identity

      Model Ready Identity is a version of business identity that is clean, consistent and ready for direct use inside modern AI models.

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    • Business Context Modeling

      Business Context Modeling is describing where a business fits in its market so AI can match it to the right buyers and questions.

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    • Cross Model Presence

      Cross Model Presence is the outcome where a business reliably shows up inside several major AI systems instead of only one.

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    • AI Alignment Strategy

      AI Alignment Strategy is the plan for bringing business identity, content and citations into line with how modern AI tools read the web.

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    • AI Identity Structure

      AI Identity Structure is the way identity elements are arranged so AI can see a complete business instead of disconnected pieces.

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    • AI Footprint Modeling

      AI Footprint Modeling is designing the overall online presence of a business so AI systems see a stable long term trustworthy footprint.

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    • Interpretive Layer Visibility

      Interpretive Layer Visibility is how visible a business is at the decision layer where AI chooses which entities to trust and include in answers.

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