Glossary
Key terms and definitions you’ll encounter when working with BrandViz.AI and AI visibility optimization.
AI Visibility
AI Visibility How often and how prominently your brand appears when people ask AI platforms (like ChatGPT, Claude, Gemini, or Perplexity) questions related to your market. Unlike traditional SEO visibility, AI visibility measures presence in generated responses, not search result rankings.
Brand Mention Any instance where an AI platform references your brand by name in a response. We track whether you’re mentioned, where you appear in the response, and in what context (recommendation, comparison, example, etc.).
Visibility Rate (Mention Rate) The percentage of AI responses where your brand is mentioned. If a report collects 400 responses and your brand appears in 136 of them, your visibility rate is 34%.
Citation Rate The percentage of responses where AI references your website as a source. Mention is about your name; citation is about your content being read and pointed at.
Share of Voice Your slice of the attention among brands AI actually names, rather than a share of all responses. Mention share of voice is your portion of the brand names AI brings up; citation share of voice is your portion of the sources it cites. Both are measured against the competitors you track, so changing your competitor list moves the number. See Visibility Metrics.
Visibility Score A single composite number combining mentions, citations, rankings, and recommendations, weighted by how heavily each AI platform is used. Best for tracking direction over time; use mention, citation, and share of voice to diagnose specifics.
Optimization Terms
GEO (Generative Engine Optimization) The practice of optimizing your content and online presence to appear in AI-generated responses. GEO focuses on platforms like ChatGPT and Claude that generate original text rather than returning links.
AEO (Answer Engine Optimization) Optimizing for platforms that provide direct answers to questions, including AI assistants and featured snippets. AEO emphasizes clear, authoritative content that AI can confidently cite.
LLMO (Large Language Model Optimization) A broader term covering optimization for any LLM-powered platform. LLMO encompasses both GEO and AEO, focusing on how large language models interpret and recommend brands.
Metrics & Measurement
Sentiment How positively or negatively AI platforms talk about your brand. We analyze the language used when your brand is mentioned - whether it’s recommended enthusiastically, mentioned neutrally, or discussed with caveats.
Position Where your brand appears within an AI response. Being mentioned first typically indicates stronger association with the query than being listed fifth in a comparison.
Citation Rank Where a source appears in the AI’s list of citations or references. Sources cited first often had more influence on the generated response.
Action Priority Our scoring system for recommendations, combining potential impact with estimated effort. High-priority actions offer the best return on your optimization investment.
Sources & Citations
Source Any webpage, document, or content that AI platforms reference when generating responses. Sources are the foundation of AI recommendations - they’re what AI learns from and cites.
Source Tier (Control Level) How much influence you have over a source. We categorize sources into five tiers: Owned Assets (your website, blog), Earned Media (press coverage, partner content), Participated Platforms (social media, directories you manage), User-Generated (forums, reviews), and Independent (third-party analysis you can’t control).
Source Type The category of content a source represents: press coverage, developer documentation, community discussion, industry directory, review site, etc. Different source types carry different weight with AI platforms.
Domain Type Whether a source belongs to your brand, a competitor, or a neutral third party. This helps you understand whose content is driving AI recommendations.
Methodology Terms
ICP (Ideal Customer Profile) A description of your ideal buyer - their company type, role, pain points, and buying context. We use your ICP to generate realistic buying scenarios that match how your actual customers research.
Buying Scenario (Prompt) A realistic query that someone in your target market might ask an AI platform. Unlike generic keywords, buying scenarios reflect how real people phrase questions at different stages of their research. Your plan is counted in prompts - each one is then asked of all four platforms, so every prompt produces four responses (more if you track multiple regions).
Buyer Journey Stage Where a potential customer is in their research process. We simulate four stages: Problem Recognition (discovering the need), Solution Research (exploring options), Vendor Evaluation (comparing providers), and Competitive Intelligence (digging into head-to-head comparisons). Different stages produce different queries.
The Engine
The Engine The part of BrandViz that executes your optimization: it audits your site, fixes technical issues, and writes content - shipping everything as drafts and pull requests for your approval. See What the Engine Does.
Mission Control Your home base for Engine work: where your visibility stands by layer, what’s waiting on your review, and the Getting Started checklist for new brands.
Layer Mission Control organizes work into three layers: Technical Foundation (the plumbing that lets AI read your site), Content Authority (pages and posts that earn citations), and Off-site (work that happens elsewhere - the Engine guides it, you run it).
Technical Audit An Engine job that checks how well AI can read and trust your site. Findings become fixes you can approve for the Engine to apply.
Job One unit of Engine work - an audit, a plan, a draft, or a fix. Jobs run in the background and come back as Ready for Review; nothing publishes without you.
Brand Voice The Engine’s picture of how you write, in two layers: a committed style captured from your site and posts (editable by you), and learned rules picked up automatically from your revision feedback.