Key Metrics
Position-Adjusted Word Count
This is your single most important metric for understanding overall AI visibility volume. It measures the total number of words about your brand across all AI responses, weighted by where those mentions appear. Earlier mentions count more than later ones because AI responses are read top-to-bottom. Being mentioned first means travelers see you before competitors. How to read it: A higher number means more prominent, better-positioned visibility across AI answers.Relevance Score (0-100)
How strongly AI models associate your brand with the search queries being tracked. A high relevance score means AI considers you a strong match for what travelers are asking. This metric combines two factors: how frequently your brand appears in responses, and how early in the response your first mention occurs.A low relevance score means your online content is not signaling to AI that you are a relevant answer. This is the “are we even showing up?” metric.
Influence Score (0-100)
When your brand IS mentioned, how much space and prominence does it get? A brand can be mentioned but barely visible (low influence) or can dominate the response (high influence). This metric is your share of the response, weighted by position: how many words the AI spends on your brand as a fraction of the whole answer, with earlier words counting for more. How to read it: Even if you are mentioned, a tiny reference among 2,000 words has minimal impact on a traveler’s decision. This tells you whether AI is giving you meaningful coverage or just a passing mention.Trend Indicator
The arrow next to your Position-Adjusted Word Count compares your recent performance to your earlier performance within the tracking period:- Up arrow (green) - Recent responses show more visibility than older ones
- Down arrow (red) - Recent responses show less visibility
- Flat line (gray) - Recent and earlier responses scored identically
Content Quality Signals
These three indicators are based on published GEO research showing that specific content types dramatically boost AI visibility. The impact percentages come from the original research. All three are measured across the whole AI response, not just the sentences around your brand, and across every tracked response rather than only the ones that mention you. Read them as a picture of what the AI is rewarding in your category, not as a score for your own page.Statistics (+41.2% visibility improvement)
The percentage of all tracked AI responses that contain numbers or data anywhere in the response. What counts: A number followed by%, the word percent, or one of visitors, rooms, kilometers, miles, minutes, hours, days, years, or a currency symbol (€, $, £). Square footage and star ratings on their own do not match.
Why it matters: Numbers and data points are the single highest-impact content signal. AI models prefer citing sources that provide concrete, verifiable data.
Quotations (+38.5% visibility improvement)
The percentage of all tracked AI responses that contain a direct quote anywhere in the response. What counts: Text inside double quotation marks, at least ten characters long. Attribution phrases on their own, like “according to” or “said”, are not detected. Why it matters: Direct quotes add authenticity and trustworthiness. Guest reviews, press quotes, and expert testimonials give AI models concrete, attributable content to reference.Technical Terms (+18.6% visibility improvement)
The average number of industry-specific terms found anywhere in an AI response, per response. What counts: A fixed list of sixteen hospitality terms, accommodation, amenities, concierge, reservation, occupancy, hospitality, boutique, luxury, UNESCO, Michelin, heritage, gastronomy, terroir, appellation, vineyard, château. Only these are counted, so phrases like “all-inclusive” or “infinity pool” will not move this number even though they are good copy. Why it matters: Industry-specific terminology signals authority and expertise. AI models trained on high-quality content associate technical language with authoritative sources.How to Improve Your Scores
How Quickly Will Scores Improve?
These metrics update as AI models pick up your enriched content. Typical timelines:- Google Business Profile updates reflect in days to weeks
- Structured data improvements can show impact within 1-2 weeks for some AI models
- Website content changes take 2-8 weeks to be indexed by AI training data
- Consistent improvement compounds over time, as each signal reinforces the others
There is no instant fix. AI visibility is built through sustained content quality improvements. The good news is that every improvement you make reinforces the others, creating a compounding effect over time.