If you’ve run the Befound scan and you’re looking at a number between 0 and 100, here’s what you’re actually looking at — and what to do with it.
How the score is calculated
The Visibility Index is an aggregate score across four AI systems — ChatGPT, Perplexity, Gemini and Claude — for the twelve highest-intent buyer queries in your category. We’re not measuring whether your website loads fast or whether your meta descriptions are compelling. We’re measuring whether the AI your customers are already using would recommend you by name.
For each query, we look at three things: does the model mention your business by name? Does it recommend you specifically? And does it cite a source connected to you? Each answer is weighted and aggregated into the score you see.
What the bands mean
0–25: Invisible. The models either don’t know your business exists, or they know the category and consistently name competitors instead. This is the most common starting position for businesses that have been online for years but haven’t structured their presence for retrieval.
26–45: Emerging. The models have partial entity recognition — they might know your name in one or two contexts, or one model picks you up while others don’t. This usually means your on-site entity signals are partial and your third-party corroboration is thin.
46–65: Mixed. You’re in the conversation, but not reliably. The models cite you for some query types and miss you for others. In practice, this means you’re winning some AI-referred inquiries but losing most of them — usually to a competitor who got their entity and citation infrastructure right first.
66–80: Competitive. You’re a named option in most relevant AI answers. You’re not necessarily the default recommendation, but a buyer who asks broadly will encounter your name. At this level, the work shifts from getting recognised to getting preferred.
81–100: Dominant. You’re the default recommendation in your category or sub-category. This is a durable moat — it takes competitors 6–12 months of sustained work to close a 20-point gap — but it’s not permanent without maintenance.
The single number that matters most inside the report
The per-model breakdown matters more than the aggregate. A score of 48 built from ChatGPT:62, Perplexity:58, Gemini:31, Claude:29 tells a very different story than 48 built from four scores clustered around 48. In the first case, you’re winning web-retrieval-heavy models and losing training-data-heavy ones — the fix is earned third-party mentions, not more on-site content. In the second, you have a broad but shallow presence — the fix is depth of topical authority.
What happens next
If you’re under 50, the Report is the right move. It maps every query in your category across every model, identifies the specific gaps — entity confidence, NAP consistency, schema, third-party corroboration — and gives you a 90-day roadmap your team can execute or hand to us.
If you’re over 50 and want to move fast, the Programme is the shortest path. We ship the citation engineering, schema, and authority content. Most Programme clients cross 65 inside 90 days.
Either way: the scan is the start, not the finish. The number tells you where you are. The report tells you why. The programme gets you where you need to be.