Flagship
LiveAI visibility asset platform. Flagship turns AI citation gaps into cited-ready video, article, and schema — one run, end to end.
Most B2B companies post videos without knowing which AI prompts they actually need to own. They publish into the void while competitors get cited in the answers buyers read. Flagship starts from the citation data — the exact prompts where a rival wins and your slot is empty — and ships the asset built to close that specific gap. No guesswork, no content calendar for its own sake.
A prompt your buyers ask where a competitor is cited and you're not — surfaced from Ahrefs data.
Claude Code writes the script, article, and schema. ElevenLabs voices it. HyperFrames and HeyGen render the finished video.
A published video, article, and schema pack built to win that exact prompt in AI answers.
Ahrefs MCP
Pulls brand, citation, and keyword data — surfaces which prompts to own and where competitors are winning.
Data / visibilityClaude Code
Generates the video script, article draft, and schema markup for each asset.
AI / generationHyperFrames
Builds the video composition — motion graphics and word-synced captions, rendered to a finished file.
VideoElevenLabs
AI voiceover — turns the script into natural narration in a consistent voice.
VoiceHeyGen
AI avatar delivery for the on-camera, talking-head version of the asset.
AvatarThe actual Notion workspace running Flagship — the gaps being flagged, the assets in production, and the citation tracking, updated as the work moves.
Flagship runs the exact cycle I install for clients: find the prompt where a competitor is cited and you're not, produce the asset built to win it, then track whether the citation actually moves — and repeat as new gaps surface.
The only difference is that Flagship is productized for self-serve. The method underneath is the same one a full AEO engagement runs on.
As of July 1, 2026
— assets shipped · — citation gaps closed · — prompts tracked
Real numbers land here on the first Monday of each month. Small is fine. Zero is fine.
- A citation gap audit mapped to the specific buyer prompts in your category.
- A video + article + schema asset pack produced for each gap worth closing.
- A monthly loop: re-scan → surface new gaps → ship new assets → track the movement.
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your company?
This runs on the same system I install for B2B SaaS founders. The entry point is a paid AI Visibility Audit.