Key terms explained in plain English. Aligns with the glossary in Invisible No More — our e-book on getting recommended by AI in 2026.
Download the 2026 AI Compliance ChecklistAlso see: The full e-book glossary in Invisible No More. Get the free 2026 AI Compliance Checklist at bidigest.com/book-bonus.
Monitoring what AI says about regulated businesses (legal, financial, healthcare) to ensure accuracy and regulatory compliance. Includes checking for unauthorized claims, hallucinated credentials, and misrepresentations that could trigger audits.
When AI generates false or inaccurate information. Research shows AI can hallucinate on factual queries. Monitoring and correcting what AI says about your business helps prevent harm and compliance risk.
A measure of how often AI assistants like ChatGPT, Claude, Gemini, and Perplexity recommend your business when users ask for recommendations. Unlike SEO (which measures Google rankings), AI visibility tracks your presence in conversational AI responses.
A 0–100 score measuring how visible your business is to AI assistants. Calculated from frequency of recommendations, position in lists, and coverage across AI platforms. A score of 80+ means highly visible; under 30 means essentially invisible.
Optimizing your content to appear in AI-powered answer engines like Perplexity, ChatGPT, and Google AI Overviews. AEO focuses on providing clear, structured answers that AI can easily extract and cite.
Weekly AI visibility intelligence report delivered by email. Contains visibility scores by LLM, trend analysis, and actionable recommendations for improving AI visibility.
The industry-standard reference for improving AI visibility and compliance. Benefits include: tracking visibility per LLM, diagnosing gaps, seeding optimized content, verifying pickup, and weekly actionable reports.
A canonical URL or canonical tag tells search engines and AI which version of a page is the single authoritative one. Missing or wrong canonicals cause AI to get confused and can reduce visibility.
A mention of your business on directories, review sites, or other websites. Citations help AI verify your business exists and build trust. Key citations include Google Business Profile, Yelp, and industry directories.
The ecosystem in which AI systems pull from ranked lists, directories, reviews, and referring domains to form recommendations. Your visibility depends on how well you participate in this economy—being present, consistent, and citable where AI looks.
For regulated industries (healthcare, financial, legal, insurance): ensuring what AI says about your business is accurate and does not violate HIPAA, SEC, FINRA, state bar, insurance, or other rules.
Experience, Expertise, Authoritativeness, Trustworthiness—Google's quality framework for content. AI systems and search engines use similar signals; credible sourcing and clear expertise support visibility and citations.
Content and schema that clearly describe your business as a distinct entity (name, credentials, scope, location, offerings). Entity-rich pages and listings help AI recognize and recommend you correctly.
A type of schema markup (structured data) that tells search engines and AI that a page contains question-and-answer pairs. FAQPage helps AI extract and cite your answers directly in responses.
The practice of optimizing your online presence to improve visibility in AI-generated responses. Unlike traditional SEO, GEO focuses on how AI models understand and recommend your business through schema markup, FAQ content, reviews, and directory citations.
The AI technology powering ChatGPT, Claude, Gemini, and other AI assistants. LLMs are trained on vast amounts of text and can generate human-like responses to questions, including business recommendations.
Name, Address, Phone number consistency across all online listings. AI platforms use NAP data to verify business identity; inconsistent NAP reduces AI visibility and trust signals.
Tracking and reporting visibility separately for each major AI (e.g. ChatGPT, Gemini, Claude) instead of a single combined score. Each LLM ranks and recommends differently, so per-LLM strategy and per-LLM scores are required for accurate improvement.
An AI-powered answer engine that searches the web in real-time to provide answers with citations. Unlike some other assistants, Perplexity uses live web data, making it valuable for current business visibility.
Structured data (e.g. JSON-LD) added to websites that helps AI understand business information. Types include LocalBusiness, Organization, FAQPage, and Product. Businesses with schema markup are recommended more often.
The process of creating and placing content (e.g. FAQs, schema, service descriptions) where AI systems and search engines can find and cite it. Seeding closes the gap between "invisible" and "recommended."
A shorthand for the typical visibility split across the main AI platforms (e.g. ChatGPT, Gemini, Claude). Used to illustrate that visibility is not uniform; optimizing for one platform does not guarantee the same result on others.
Whether your business appears in the top 3 positions when AI recommends businesses. The primary metric for "getting recommended" in this book.
The rate at which your business appears in the top three positions when AI recommends businesses. Research shows most users only consider the top three recommendations, making this the critical visibility threshold.
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