If you’ve spent any time looking at an AI visibility dashboard, you’ve probably run into terms like “share of voice,” “citations,” or “visibility score” and wondered exactly what they mean and how they’re actually calculated.
The truth is, these terms borrow a lot from traditional marketing and SEO, but they work a little differently when applied to AI platforms like ChatGPT and Gemini. This glossary breaks down the essential terms in plain language, so you can read your own AI visibility data with confidence.
Visibility Score
What it means: A single number (usually shown as a percentage) that reflects how consistently your brand shows up across AI-generated answers for the prompts you’re tracking.
Simple explanation: Think of it as a report card grade for your overall AI presence. If you’re tested against 20 prompts relevant to your industry and your brand is mentioned in 10 of them, your visibility is roughly 50%. A 0% score means your brand isn’t appearing at all a clear signal that something needs fixing.
Why it matters: It’s the single fastest way to gauge whether you have an AI visibility problem before digging into the details.
Share of voice (SOV)
What it means: The percentage of the overall AI conversation that belongs to your brand, relative to your competitors, within the answers where a brand recommendation is being made.
Simple explanation: Imagine an AI answer names five companies when someone asks “best GEO company for startups.” If all five are mentioned roughly equally, each one holds about a 20% share of voice. If one brand dominates and gets described in more detail or recommended more strongly, its share of voice is higher even if all five are technically “mentioned.”
Why it matters: Being mentioned isn’t the same as winning the conversation. Share of voice tells you how much of the spotlight you’re actually getting compared to competitors, not just whether you showed up at all.
Total citations
What it means: The number of times an AI engine references your brand, website, or content as a source when generating an answer.
Simple explanation: When AI tools answer a question, they often pull facts from specific sources much like a student citing references in an essay. Every time your website or brand is used as one of those sources, that counts as a citation.
Why it matters: More citations generally mean AI trusts your content enough to use it as a factual basis for its answers which is a strong signal for both visibility and credibility.
Platforms tracked
What it means: The number of distinct AI engines (ChatGPT, Gemini, Perplexity, etc.) being monitored for your brand’s visibility.
Simple explanation: Not every AI platform behaves the same way a brand can be highly visible on one and completely invisible on another. Tracking multiple platforms gives you the full picture instead of a partial one.
Why it matters: If you only check one platform, you might think you’re doing fine while quietly losing visibility everywhere else.
Prompt
What it means: A specific question or query tested against an AI platform to see how (or whether) your brand appears in the response.
Simple explanation: A prompt is essentially the AI-era equivalent of a search keyword except instead of “best CRM software,” it’s a full natural-language question like “What’s the best GEO company for startups?“ or “Top GEO company in Italy?”
Why it matters: The prompts you test directly shape the accuracy of your visibility data. Testing only a handful of prompts gives you an incomplete sometimes misleading picture.
Answer engine
What it means: An AI platform that generates direct, conversational answers to user questions, rather than a list of links.
Simple explanation: Google Search returns ten blue links; ChatGPT or Gemini return one confident, synthesized answer. That’s what makes them “answer engines” instead of traditional search engines.
Why it matters: Understanding this distinction is the foundation of why AI visibility needs its own strategy, separate from traditional SEO.
AEO (Answer engine optimization)
What it means: The practice of structuring your website and content so AI-driven answer engines can easily understand, extract, and cite your information.
Simple explanation: Just as SEO optimizes for ranking in search results, AEO optimizes for being included in or ideally being the answer an AI gives.
Why it matters: A site can rank #1 on Google and still be invisible to AI platforms if it’s not structured for AEO. It’s a related but distinct discipline.
AEO Readiness score
What it means: A measurable rating of how well a website is structured for AI consumption covering content clarity, factual statements, structured data, consistency, and technical accessibility.
Simple explanation: Where a visibility score tells you whether you’re currently showing up in AI answers, an AEO Readiness Score tells you how prepared your website is to be cited in the first place.
Why it matters: It’s a diagnostic and a roadmap it tells you exactly what to fix on your website to improve your chances of being cited going forward.
Rank distribution
What it means: A breakdown of where your brand lands when it does get mentioned in an AI answer first, second, somewhere in the middle, or not ranked at all.
Simple explanation: Two brands can have the same visibility score but very different rank distributions. One might consistently be the first brand mentioned; another might be a passing afterthought buried at the end of the answer.
Why it matters: Rank distribution reveals the quality of your visibility, not just the quantity showing up doesn’t always mean showing up well.
Visibility trend
What it means: A chart tracking how your visibility rate and average rank change over a period of time, such as the last 30 days.
Simple explanation: A single visibility score is a snapshot. A visibility trend is the movie showing whether your AI presence is improving, holding steady, or slipping.
Why it matters: Trends help you tell the difference between a temporary dip and a real, ongoing problem worth acting on.
Putting it all together
These terms aren’t isolated statistics they connect into one continuous story about your brand’s AI presence:
- Prompts define what you’re testing.
- Visibility Score tells you how often you show up.
- Share of Voice tells you how much of the spotlight you get when you do.
- Rank Distribution tells you the quality of that visibility.
- Total Citations tell you how much AI trusts your content as a source.
- AEO Readiness tells you how prepared your site is to earn all of the above.
- Visibility Trend tells you whether all of this is getting better or worse over time.
Once you understand how these pieces fit together, an AI visibility dashboard stops looking like a wall of unfamiliar numbers and starts reading like a clear, actionable story about exactly where your brand stands.
Want to see these metrics in action for your own brand? Explore your live AI visibility data on Lunocode and put this glossary to work.
SEO & GEO specialist.
