Your customers stopped reading ten links. They ask ChatGPT, Gemini, and Claude — and get a shortlist of two or three names. SOVA measures whether you're on it, why not, and what moved after you acted.
Classic search ended at a click — your page got the visit and made its case. In an AI answer there is no visit. The page's only reader is a machine that quotes selectively, and whoever it quotes wins the customer.
Models trust consensus over self-description. Your own site is necessary, never sufficient.
Pages that state facts get quoted. Pages that state philosophy get skipped.
Versus years to change what it remembers from training. All action lives in retrieval.
A single "AI visibility score" hides the diagnosis. SOVA separates presence from prominence from endorsement — because each failure has a different owner and a different fix.
Decomposes into three causes — your pages don't rank, the cited pages omit you, or the answer came from Maps — each with its own fix. Never fix blind.
Present but buried. Models order by consensus strength: how many sources name you, how early, how authoritatively.
The model has no differentiating claim to endorse. Publish the reason; get third parties repeating it until it reads as fact.
Behind the dashboard is a running instrument: your category's full question bank, fired across the major engines every month, in both languages, with every answer stored and every number traceable. The dashboard is just where it surfaces.
67% mentioned, 13% top-3. Models know the department exists; no retrieved source says dedicated children's hospital — the claim appears in zero framing phrases across 6,420 answers. The asset is real; the web doesn't know it.
One number with a real-world meaning: of all the recommendation-weight AI handed out in your category this month, the share your brand captured. Every appearance earns credit for how it appeared — recommended #1 is worth 6× a buried listing — weighted by what the question is worth.
AI at the edges, math in the middle, a human at the end. Every number in a SOVA readout traces back to a raw model answer you can open.
Your question bank — real customer language, Arabic first — runs across the engines, ten times each, search on and off.
Extraction to structured rows, then statistics decide significance before any AI narrates. Gaps get named: presence, prominence, reason.
Each gap maps to an owner: your record (SEO, content, entity) or the consensus (placements, rankings, reviews).
Shipped work becomes dated markers on the trend. When a number moves, you see what preceded it.
SOVA measures formal Arabic, Saudi dialect, and English separately — because the answers differ, and the difference is strategy. Global tools don't see this at all.
A 14-point gap on the same question, invisible to any tool that treats Arabic as one language. Which register of the Arabic web you invest in is a measurable decision.
A baseline measurement: your category's question bank across the major engines, three metrics with confidence intervals, the competitor league, and the three gaps that matter most — before you spend a riyal on fixes.