Glossary
Clean, quotable definitions for the terms Faro Index uses to measure AI visibility, Brand Accuracy Rate, GEO, and how assistants describe companies in buyer-intent queries.
AI Visibility measures how often an assistant names your brand when buyers ask category questions. Faro Index sends real buyer-intent queries to ChatGPT, Perplexity, Gemini, and Claude, then records whether you were mentioned, how prominently, and on how many platforms, and blends those into a Visibility Score from 0 to 100. High visibility means AI recommends you during active research, and low visibility means buyers may never hear your name when they ask.
Brand Accuracy Rate is the share of verifiable factual claims AI makes about your company that are actually correct. Faro Index pulls specific claims from AI answers, such as pricing, products, leadership, and founding date, and checks each against your site and other trusted sources, so a score of 100 means every checked claim matched and a score of 40 means most were wrong or outdated. It is distinct from visibility, because AI can mention you often while stating confident, incorrect facts.
GEO Score, from 0 to 100, measures how readable your website is to a model. Faro Index crawls up to fifty pages and scores schema coverage, content readability, answer-block presence, and content depth, and a high score means AI can lift accurate facts straight from your site while a low score usually means it falls back on third-party sources, which is where factual drift starts.
Content leakage is when AI uses your positioning or facts without citing your site, or misrepresents you by confusing you with another company or framing you unfavorably. Faro Index detects it by analyzing raw AI responses for narrative alignment, competitor misassociation, negative signals, and unattributed overlap, and reports it as Leakage Protection from 0 to 100, where higher means better protected.
An answer block is a 30 to 80 word declarative paragraph, placed right after the H1, that answers one buyer question in plain language. Assistants preferentially quote these because they match the shape of the questions people ask, so pages without them are rarely cited verbatim, and adding them to your homepage, pricing, product, and FAQ pages is one of the highest-impact GEO changes Faro Index recommends.
Schema markup is structured data, usually JSON-LD in the page head, that labels your facts for machines: organization name, product type, FAQ entries, and contact details. It matters for accuracy because models can read labeled facts without inferring them from prose, so sites with no schema often score poorly on GEO and show low accuracy, since AI is left guessing from third-party sources. A minimal Organization block for your homepage looks like this:
A minimal Organization schema for your homepage looks like this:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Your Company Name",
"url": "https://yourcompany.com",
"description": "Plain-language description of what you do.",
"sameAs": [
"https://linkedin.com/company/yourcompany",
"https://twitter.com/yourcompany"
]
}
</script>Add it to your homepage head, rendered server-side rather than injected by JavaScript.
Disambiguation content is plain text on your site that states what your company is and what it is not, which matters most when your name overlaps with another product, technology, or trademark. Models frequently conflate similar names, so effective disambiguation appears in the initial HTML rather than behind a JavaScript toggle, usually in the opening paragraph, the meta description, and the H1. Faro Index flags missing disambiguation whenever AI responses show identity confusion.
Zero-click exposure is the share of buyer queries where AI answers completely without the user clicking through to a source. When it is high, your organic traffic can fall even if you are mentioned, because the research finished inside the assistant, and Faro Index estimates it from scan responses and reports it on paid plans alongside traffic correlation when Search Console is connected.
An AI citation is when a model attributes a claim or recommendation to a specific URL or named source. Perplexity and Google AI Overviews show citations openly, while ChatGPT and Claude cite depending on mode and retrieval, and earning them takes pages a model can parse, meaning schema, answer blocks, and clear factual prose. Faro Index tracks the cited URLs in your scans so you can see which domains AI treats as evidence in your category.
A platform summary aggregates your scan results for one assistant: how many queries were sent, how many mentioned you, which competitors appeared, and what framing the model used. Comparing summaries across the four platforms shows where you are well represented and where you are absent, so a brand strong on Perplexity but missing on Claude has a platform-specific gap in content or citations rather than a single universal problem.
Generative Engine Optimization is the practice of structuring content so generative AI can read, extract, and cite it accurately. It covers schema, readable prose, answer blocks, disambiguation, and enough page depth to be treated as authoritative, and it differs from traditional SEO because the reader is often a model retrieving facts at answer time rather than a person clicking a link. The Faro Index GEO Score measures how well your site meets these requirements.
Answer Engine Optimization is the practice of winning direct answers in AI interfaces, voice assistants, and featured snippets. Where GEO covers overall readability, AEO focuses on concise, authoritative blocks a model can quote when someone asks a specific question, so Faro Index flags pages missing them, and adding a targeted FAQ or HowTo section with schema often lifts both AEO and Brand Accuracy Rate on the next scan.
Content overlap measures how closely an AI answer mirrors your site's language or facts without citing your URL. High overlap with no citation suggests the model absorbed your messaging through training or retrieval but did not attribute it, which is a form of leakage, and Faro Index reports it inside AI Search Impact on paid plans. Reducing it usually takes stronger schema, clearer canonical pages, and third-party citations pointing back to you.
Competitor displacement is when AI recommends or cites a competitor for a query where your brand should appear given your category and positioning. Faro Index identifies it by comparing mention patterns across buyer-intent queries, spotting where you are absent while a named rival is featured, and high displacement tends to track with lost AI share of voice and, on connected accounts, with declining category-page clicks in Search Console.
A narrative gap is a claim you emphasize on your site that AI omits or contradicts in its answers, whether a core capability, your target customer, your geographic focus, or your differentiation. Faro Index lists these after comparing AI outputs to your crawled site copy, and closing them usually takes disambiguation, schema, answer blocks, and sometimes third-party proof points that reinforce what you want AI to repeat.