AI Visibility Glossary
Key terms and concepts in AI visibility monitoring and Generative Engine Optimization (GEO).
GEO (Generative Engine Optimization)
The practice of optimizing content so that AI search engines (ChatGPT, Perplexity, Claude, Gemini) discover, understand, and cite your brand in their responses. Similar to SEO but for AI-generated answers instead of traditional search results.
AEO (Answer Engine Optimization)
An older term for optimizing content for AI answer engines. Largely synonymous with GEO, though AEO sometimes focuses specifically on direct-answer formats (featured snippets, voice assistants) while GEO encompasses broader generative AI responses.
AI Visibility
How often and how prominently your brand appears in AI-generated responses. Measured by tracking mentions across multiple AI engines for relevant queries. Higher visibility means AI engines are more likely to recommend your brand.
Citation
When an AI engine references a specific source (URL, brand, article) in its response. Citations are the AI equivalent of backlinks — they indicate the AI engine trusts and uses your content as a source of information.
Citation Gap
The difference between where your competitors are cited by AI engines and where you are not. Identifying citation gaps reveals opportunities to create content that fills those missing references.
Grounding Query
A search query that AI engines use to ground their responses in real-world data. For example, 'best project management tools' is a grounding query where AI engines pull from indexed sources to form recommendations.
Visibility Score
A numerical score (typically 0-100) representing how well your brand performs across AI visibility factors. In GEO Monitor, this is calculated from a 10-point audit covering structured data, content quality, technical signals, and more.
Structured Data (JSON-LD)
Machine-readable markup embedded in web pages using the schema.org vocabulary. JSON-LD (JavaScript Object Notation for Linked Data) helps AI engines understand what your page is about — whether it describes a product, organization, FAQ, or article.
llms.txt
An emerging web standard (similar to robots.txt) that provides a machine-readable description of a website specifically for Large Language Models. Placed at the root of a domain (/llms.txt), it tells AI systems what your site offers and how to understand it.
AI Crawler
Automated bots that AI companies use to index web content. Examples include GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, and Google-Extended. Allowing these crawlers access to your site via robots.txt is a prerequisite for AI visibility.
Sentiment Analysis
In the context of AI visibility, analyzing whether AI engines describe your brand positively, negatively, or neutrally. Sentiment tracking over time reveals how AI perception of your brand changes as you optimize your content.
Position Tracking
Monitoring where your brand appears within an AI engine's response. Position 1 means your brand is the first mentioned; lower positions indicate less prominence. Similar to ranking tracking in traditional SEO.
Mention Rate
The percentage of AI engines that mention your brand for a given query. A mention rate of 4/6 (67%) means four out of six monitored AI engines include your brand in their response.
GEO Audit
A systematic evaluation of a website's readiness for AI visibility. GEO Monitor's 10-point audit checks structured data, FAQ content, comparison pages, content freshness, topical authority, third-party validation, AI bot access, llms.txt, sitemap health, and meta signals.
Third-Party Validation
Independent sources mentioning your brand — comparison articles, niche directories, Reddit discussions, and industry blogs. AI engines cite brands more frequently when they find corroborating mentions across multiple independent sources.
Content Freshness
Signals that indicate content is recently updated, such as datePublished and dateModified metadata. AI engines generally prefer citing content that demonstrates it is current and maintained.
IndexNow
A protocol that allows websites to notify search engines (Bing, Yandex, Seznam, Naver) immediately when content is created or updated. Faster indexing means your updated content reaches AI training data sooner.
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