Brand Information → AEO Topics → Buyer Prompts
An interactive engineering demonstration for Project Management detailing how raw domain information is ingested, enriched with Cloro AI, transformed into institutional AEO topic clusters, and synthesized into conversational buyer queries with a strict 40/30/30 intent distribution.
The 4 Sequential Architecture Stages
Click any stage to inspect the engineer's thinking, data contracts, and live telemetry.
Brand Information Fetch & AI Extraction
POST /api/v1/onboarding/lookupLegacy onboarding forced users to manually type their industry, ICP personas, and competitors. This caused massive drop-offs, user frustration, and incomplete brand context.
Implemented an automated phased lookup pipeline: DNS resolution -> Brandfetch visual asset extraction -> Cloro AI deduction pass. Cloro deduces the Ideal Customer Profile (ICP) constrained to under 120 characters and infers 2-4 direct competitors. Deterministic heuristic fallbacks guarantee 100% uptime if external APIs time out.
- ICP constrained to <120 chars: Keeps the persona dense and prevents prompt dilution in downstream models.
- Direct Competitor Inference: Identifies 2-4 direct rivals automatically to seed competitive search queries.
- 3-Tab Brand Context Editor: Splits inputs into Brand & Offerings, Target Markets, and Competitor Pills with batch comma entry.
- Auto-Tab Error Focus: If validation fails, UI automatically jumps to the invalid tab so users never get stuck.
- Deterministic Fallbacks: In-memory heuristics infer defaults from domain name and TLD if Brandfetch or Cloro is unavailable.
Live Sandbox & API Inspector
LINEAR
linear.appEngineering squads, technical PMs, and product development leaders.