Add comprehensive long-running session plan for aeo-cli evolution#1
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hanselhansel merged 3 commits intomainfrom Feb 19, 2026
Merged
Add comprehensive long-running session plan for aeo-cli evolution#1hanselhansel merged 3 commits intomainfrom
hanselhansel merged 3 commits intomainfrom
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Research-backed development plan covering: - AEO market intelligence ($200M+ funded, 24+ platforms) - Competitive landscape analysis (aeo-cli is uniquely CLI+MCP+OSS) - Academic GEO research findings and implications - 4-phase feature roadmap (Core → Intelligence → Ecosystem → Ship) - Anti-hallucination framework (5 layers: static grounding, hooks, verification gates, human checkpoints, TDD) - Claude Code hooks configuration for automated quality enforcement - Daily workflow cadence with micro/minor/major checkpoints https://claude.ai/code/session_017Zb1LCs9KA3Gg58mFvtRCe
… IETF Key additions from exhaustive web research: - llms.txt reality check: zero confirmed AI usage (Nature Comms, Semrush logs) - Citation research: 50-150 word chunks get 2.3x more citations (680M+ analyzed) - RSL standard (Dec 2025): Reddit/Medium/Cloudflare-backed licensing protocol - IETF AI Preferences WG: Content-Usage headers coming - Schema impact: 3x citation likelihood, GPT-4 accuracy 16%→54% with structured data - Research-backed task numbering and justification for all roadmap items - New protocol landscape table (MCP, A2A, WebMCP, RSL, IETF aipref, TDMRep) - Pillar validation matrix mapping research to scoring evolution paths https://claude.ai/code/session_017Zb1LCs9KA3Gg58mFvtRCe
Expand the plan from core audit improvements to a comprehensive brand intelligence platform with two implementation tracks: - Track A: 24 core audit improvements (days 1-8) - Track B: 5 new capabilities (days 9-38): Citation Radar, Share-of-Model Benchmark, Retail-RAG Auditor, AEO Compiler Batch Mode, CI/CD Enhancement Add Section 5 with detailed implementation specs for all new capabilities including file paths, Pydantic models, CLI interfaces, tests, and risks. Expand appendix with competitive landscape research on LLM share-of-voice companies (Evertune, Profound, Otterly), ecommerce monitoring tools (Pacvue, DataHawk, 42Signals), and AI shopping protocols (OpenAI Product Feed, ChatGPT Shopping, Agentic Commerce Protocol). https://claude.ai/code/session_017Zb1LCs9KA3Gg58mFvtRCe
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Summary
This PR introduces a detailed, multi-day development plan for evolving aeo-cli into a production-ready AEO toolkit. The plan is grounded in current market research, validated by academic findings on generative engine optimization, and includes architectural guidance for maintaining code quality across extended development sessions.
Key Changes
Market Intelligence: Comprehensive analysis of the $200M+ AEO market, including 24+ funded platforms, venture-backed competitors (Profound, Adobe, Scrunch), and aeo-cli's unique positioning as the only CLI-first, open-source, MCP-enabled AEO audit tool
Research Validation: Integration of peer-reviewed findings on:
4-Phase Roadmap:
Anti-Hallucination Framework: 5-layer approach combining static grounding (CLAUDE.md, .claude/rules/), dynamic grounding (hooks), verification gates (lint/type/test), human checkpoints, and TDD discipline
Hooks Configuration: Recommended
.claude/settings.jsonwith PostToolUse auto-linting, Stop-hook test verification, and optional PreCompact/SessionStart hooks for context managementWorkflow Cadence: Daily session structure with morning/midday/evening phases, per-feature TDD workflow, and checkpoint schedule (micro/minor/major/release)
Competitive Analysis: Detailed landscape of Tier 1 leaders (Profound, Adobe, Scrunch), AI crawler management tools, llms.txt ecosystem, and open-source alternatives
Notable Implementation Details
https://claude.ai/code/session_017Zb1LCs9KA3Gg58mFvtRCe