Data Sources & Methodology

Where the data comes from

• AI-assistant answers we query directly. For AI Visibility we send your tracked prompts to the assistants themselves and read the answers they return — which brands appear, in what context, and the sentiment around them. This is observed, not inferred from browsing panels.
• Your connected accounts. When you connect Google Search Console (and, for stores, Shopify / WordPress / Wix / Webflow), we read your own first-party data — impressions, clicks, positions and site content — to ground the audit and reporting in real numbers.
• Licensed SEO & SERP data. Search volume, keyword difficulty, domain rating, backlink and SERP-feature signals come from established third-party SEO data providers. These are provider estimates.
• Our own site crawl. The SEO audit crawls the page or site you enter and evaluates technical, on-page, content and structured-data signals directly from the live HTML.
• Public search-interest signals. Relative, normalized indices of topic demand, used as a directional signal.

We don't publish the exact list of providers, feeds and models behind every single figure — that combination is our own work — but we do commit to being clear about how confident any given number is (see the labels below) and where its limits are.

How AI Visibility is measured

This is the most important thing to understand, and it is where Seovision differs from tools that estimate AI traffic from anonymized browsing panels. We do not guess which answers an assistant gave — we ask it. For each tracked prompt we call the assistant, read the response, and detect whether your brand (and your competitors) are mentioned, how prominently, with what sentiment, and which sources are cited.

Because the answer itself is observed, brand presence and sentiment are a measured signal for that prompt at that time. What remains an estimate is generalisation: an assistant's answers can vary between runs and over time, so a single scan is a sample, and share-of-voice roll-ups across many prompts are directional rather than exact.

SEO audit & scores

The audit combines what we crawl from your live site with licensed SEO data and, when connected, your Google Search Console figures. Individual checks are measured against the page; scores, grades and roll-ups are computed from those checks and are meant for relative comparison and tracking improvement over time, not as an absolute measured count.

What the confidence labels mean

• L1 — Measured: a directly observed value (an assistant's actual answer, a Search Console figure, a check read straight from your page).
• L2 — Estimated: derived via modelling or from third-party panel/keyword data (most search-volume, difficulty and share-of-voice figures).
• L3 — Indexed / Computed: a normalized relative index (e.g. search-interest) or a figure computed from other numbers (e.g. an audit score, or estimated traffic = volume × position CTR). Good for direction, not an absolute count.

Where it matters, we show the appropriate label next to a figure so you know how much weight to put on it.

Cadence & coverage

• Refresh: AI Visibility scans run on a regular schedule (typically daily); search-volume and other market metrics refresh less often (weekly to monthly) because the underlying datasets update less often.
• AI engines covered: ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot and DeepSeek via their assistant surfaces, plus Google AI Overviews and AI Mode tracked through the search results page.
• Geographic & language coverage: follows the markets and languages you configure in your project, within the limits of your plan.
• Audit & content: the SEO audit works on any public URL; the content engine publishes to Shopify, WordPress, Wix and Webflow.

Limitations

• Estimated figures carry uncertainty and are best used for relative comparison and trend direction, not exact accounting.
• Assistant answers can change between runs and over time; a scan is a sample of what was returned at that moment.
• Coverage is limited to the engines, markets and languages configured for your project; absence from our data is not proof of absence in the market.
• Third-party data coverage and attribution models can change, which can shift figures over time.