AI Visibility Glossary
Plain-English definitions for the technical terms that show up in your AI Recommendation Blueprint. Each term links directly so you can jump straight to the one you need.
AI Visibility
How easily AI assistants like ChatGPT, Gemini, Perplexity, and Google AI Overviews can find, understand, verify, and confidently recommend your business when a customer asks. It overlaps with SEO but is evaluated through a different lens — some things that barely move search rankings can still affect whether AI trusts you enough to recommend you.
Signal
Any piece of public information AI systems use to assess whether your business is real, relevant, and trustworthy — your website content, reviews, directory listings, structured data, third-party mentions, and more. No single signal guarantees a recommendation; AI weighs dozens of them together, and which ones matter most can vary by business and query.
AI Citation
When an AI assistant mentions or sources your business by name in its response to a user. A citation can range from a passing mention to a direct recommendation. Unlike a search ranking, there is no fixed list of results — the AI decides what to include based on the signals it can find and how confident it is about each one.
Google AI Overviews
AI-generated summaries that appear at the top of Google search results, synthesizing information from multiple sources into a direct answer. For local queries, these summaries can name specific businesses. Being cited in an AI Overview is one of the most visible ways a business gets recommended by AI today.
Knowledge Graph
Google’s underlying database of real-world entities (businesses, people, places) and how they relate to each other. It powers the Knowledge Panel and feeds information to AI systems. Being recognized as a distinct entity in the Knowledge Graph means AI systems have a structured understanding of your business, rather than just seeing your name mentioned on random pages.
Presence, Trust, Authority, Clarity
The four signal areas AIRecommendU uses to evaluate your business. Presence: can AI find you at all? Trust: can AI verify you are real and reputable? Authority: does AI see evidence you are good at what you do? Clarity: can AI understand exactly what you do, where, and for whom? Each area is scored independently so you can see where you are strongest and where you have gaps.
AggregateRating schema
A small piece of code on a website that tells AI systems and search engines "this business has a 4.9-star rating from 120 reviews" in a format machines can read directly — instead of a human having to read the page and figure that out. Without it, your rating might be real and excellent, but invisible to AI unless it happens to find it elsewhere.
FAQPage schema
Code that marks specific questions and answers on your website so AI systems can pull them directly into an answer (e.g. "Do you offer free estimates?"). Think of it as labeling your FAQ section so an AI assistant can lift the exact answer instead of having to guess from surrounding text.
Schema markup / structured data
The umbrella term for all of the above. It's a standardized way of labeling information on a webpage (your hours, your services, your reviews, your address) so computers — not just human readers — can understand it precisely. Think of it as adding labels to a filing cabinet so a robot assistant can find the right folder instantly, instead of reading every page to guess what's inside.
NAP consistency
"NAP" stands for Name, Address, Phone. NAP consistency means your business name, address, and phone number are listed exactly the same way everywhere online — your website, Google Business Profile, Yelp, Facebook, directories. When these don’t match (e.g. "123 Main St" in one place and "123 Main Street, Suite B" in another), AI systems can become less confident they’re looking at the same business, which quietly erodes trust signals.
robots.txt / AI crawler blocks
A file on your website that tells automated visitors — including the bots that feed AI systems like GPTBot (OpenAI), ClaudeBot (Anthropic), Google-Extended (Google's AI), and PerplexityBot — whether they're allowed to read your site. If this file blocks one of these bots, that AI system may not be able to read your content directly at all, no matter how good the content is.
llms.txt
A newer, optional file some websites are starting to add specifically to help AI systems understand what the site offers, similar in spirit to how a sitemap helps search engines. Not yet a universal standard, but an emerging signal of AI-readiness.
Knowledge Panel
The info box that sometimes appears on Google showing a business's name, hours, photos, and reviews at a glance. Having one signals to AI systems that Google has independently verified and organized information about your business — a form of third-party validation.
GBP (Google Business Profile)
Your free business listing on Google Maps and Google Search — the one with your hours, photos, reviews, and Q&A. It's one of the most heavily weighted trust signals for any local business, both for human searchers and AI systems.
Third-party mentions / backlinks
Any time another reputable website — a local news outlet, an industry association, a guest feature, a directory — mentions or links to your business. AI systems treat these as independent validation, similar to how a personal recommendation from a friend carries more weight than a business’s own claims about itself.
Case studies / certifications
Documented proof of expertise — a detailed writeup of a specific project you completed, or a professional license/certification listed publicly. These give AI systems (and human readers) concrete evidence of skill, beyond a general claim like "we’re experienced."
Crawlability
Whether a website’s pages can actually be read by automated visitors at all — search engines and AI systems alike. A site can look great to a human visitor and still be effectively invisible to AI if its technical structure blocks or confuses automated readers.
Entity recognition
Whether AI systems can identify your business as a specific, distinct, real-world entity — as opposed to just a string of text on a webpage. Consistent naming, verified listings, and structured data all help an AI system "recognize" your business as a known, real entity rather than an ambiguous mention.
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