From Linear's docs to Notion's category leadership — see how teams use Clovion to win the AI visibility race.
Each story has a baseline, a fix list, and a 90-day result. No anonymized case studies — real brands, real numbers.
Linear used multi-engine tracking to surface dev-tooling queries they were missing. Schema gaps on pricing pages, citation paths on developer forums — all ranked and shipped in two sprints.
A citation path audit revealed Vercel docs were structured for humans, not retrieval. Heading depth, sectioning, and schema patches turned their guides into the canonical source LLMs reach for.
A competitor twenty times their size dominated AI answers for 'no-code website builder.' We mapped the citation gap and Webflow worked the third-party list. Six months later, head-to-head wins.
Finance prompts on ChatGPT and Perplexity were citing legacy incumbents by default. Ramp shipped the prioritized fix list across pricing, comparison, and integrations pages over six weeks.
Notion consolidated three monitoring tools plus a generic SEO platform onto Clovion. One schema, one prompt set, one fix queue — and the team finally agrees on what to ship next.
Sentiment intelligence flagged that Claude was characterizing Figma as 'enterprise-only' for design queries. Two quarters of reshaped third-party narrative later, Figma scores highest in its category.
Not curated, not annualized, not rounded up. The median across every customer running Clovion today.
Average AI mention lift across the customer base
Median agent-resolution rate at production scale
Average new pipeline from AI-sourced visitors
Refreshed quarterly · 200+ workspaces · production data
A dense view of who runs Clovion in production — with one micro-outcome each, refreshed quarterly.
Logos shown when contracts permit
Growth, product, and marketing leaders on what changed after the score moved.
Free score in 24 hours. The same engine our paid customers use, narrowed to the four largest models. No card, no trial timer.