Each layer is written for both humans and machines: clear definitions, explicit audiences,
and concrete deliverables. The entry point is always the Audit.
Layer 01 — DiagnoseEntry point
AI Visibility Audit
A structured diagnosis of how AI systems currently see, retrieve, and describe your
company. It measures whether AI tools know you exist, understand what you actually build,
and how you appear next to better-marketed competitors. The output is a prioritized action
plan, not a dashboard.
Who it's for
Deep-tech and New Space teams with real products, contracts, or flight heritage who suspect
they are invisible or misdescribed in AI answers — typically 2–50 people, where the
engineering is far ahead of the market story.
What you get
- Current-state visibility check across ChatGPT, Perplexity, and Google AI Overviews.
- Entity-clarity assessment: does the AI know who you are and what you build.
- Content-retrievability review of your existing pages, docs, and technical assets.
- Competitor comparison showing where rivals appear and you don't.
- Concrete recommendations and a prioritized action plan ordered by impact.
Layer 02 — Fix
AI Visibility Sprint
A focused build phase that turns audit findings into AI-readable assets. It cleans up
positioning, produces source-rich pages, and structures your company information so AI
systems can retrieve and cite it — moving you from “diagnosed” to “fixed” on the
highest-impact gaps.
Who it's for
Deep-tech and New Space companies that already know they have a visibility gap and want it
closed quickly, without an open-ended retainer — teams with a strong technical offer but
weak, jargon-heavy packaging of what it does.
What you get
- Audit plus a positioning cleanup stating clearly what you build and for whom.
- Source-rich, AI-readable pages built to be retrieved and quoted.
- FAQ, comparison, and use-case content answering the questions buyers ask AI.
- A structured company profile giving AI systems clean, consistent facts.
- An implementation roadmap and a measurement baseline to track from.
Layer 03 — Sustain
AI Visibility Retainer
Ongoing work to keep your company visible, accurate, and competitive in AI answers as
models, content, and competitors change. AI systems update constantly; a retainer treats
AI visibility as a position to defend, not a one-time fix.
Who it's for
Companies that have closed the initial gap and want to hold and extend their lead —
deep-tech and New Space teams that see AI-driven discovery as a real channel into
investors, partners, and technical buyers.
What you get
- Ongoing visibility monitoring across the AI systems that matter to your buyers.
- Monthly AI-answer checks on the prompts your customers and investors actually use.
- Continuous content updates plus entity and citation improvements.
- Competitor tracking so you see movement before it costs you.
- Monthly reporting framed around presence on specific buyer prompts — not a vanity score.
Layer 04 — ToolingStandalone
Retrievable.io — the system behind the work
The tool that powers BearLeap's AI-visibility work and can be used on its own. It monitors
how AI systems answer questions in your category and turns those findings into specific,
executable improvements. Built as operational tooling, not a passive dashboard.
Who it's for
Teams and operators who want to run AI-visibility work systematically — in-house marketers,
agencies, and technical companies that want monitoring and execution in one place, not just
a tool that tells them they have a problem.
What you get
- Tracking of whether you appear on the buyer prompts that matter, mapped to awareness, consideration, and decision stages.
- Execution prompts and guidance that turn findings into content and positioning changes.
- Coverage across the major AI systems — ChatGPT, Claude, Gemini, and Perplexity.
- A human-in-the-loop workflow: the tool proposes, you approve. No autopilot publishing.
