feat: word-to-color GEO + share card + S1 data baseline#3
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V1 (self-built SQLite analytics layer + E2E test suite first) was flagged by both reviewers as a wrong turn — engineer's comfort zone, optimizing the mid/bottom funnel while avoiding acquisition. V2 pivots to validation+distribution: 3rd-party analytics (not self-built), LS Live + one real payment, ~10 user interviews to converge ICP, a new distribution/GTM track, thin 4-6 case E2E, and an explicit S2 exit gate if no PMF signal appears. Corrected: iOS uses server-side preference sync, not CloudKit. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
S1 "open real signal" — queried production pageviews/events + GSC. Findings in docs/baseline-metrics-2026-05-31.md: - word-to-color is the #1 entry (direct PV + GSC non-brand queries) - ChatGPT referrals (399/30d) now rival Google organic (202 clicks/90d) - SEO sits on page 2 (avg pos 13.2, CTR 0.8%) — indexed, not ranked - real Pro payments ~= 0 (intent/audience mismatch) First no-regret GEO moves: - public/llms.txt: guide AI engines to key tools/content with attribution - guides Article schema: add mainEntityOfPage/image/inLanguage/ articleSection/about/publisher.logo across all 364 guides Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
word-to-color is the #1 entry point (direct PV + GSC non-brand queries). Add 5 visible FAQs (how it works / determinism / free / commercial use / variants) from a shared data source (src/lib/word-color-faq.ts), plus FAQPage structured data on the route — targets Google FAQ rich results and AI-engine citation (GEO), the site's largest growing referral source. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
word-to-color is the #1 entry and already gets shared/indexed (GSC + referrers). Add a 1080x1350 portrait share card downloadable as PNG, so users get a visual, attributable artifact for Xiaohongshu/IG/X instead of just a link. Every export carries colorarchive.org/word-to-color in the footer — turns organic sharing into self-attributing traffic. Reuses the production journal-export pattern (html-to-image toPng + off-screen 1080 node, inline styles). Open to all users (no Pro gate) — the attribution credit is the point. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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ChatGPT is already the site's largest external referral source, but Google-Extended and Applebot-Extended must be allowed *explicitly* for content to be eligible for Gemini / Apple Intelligence answers — they are not covered by the "*" rule for AI use. Add an explicit allow rule for major AI/LLM crawlers (GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, ClaudeBot, Google-Extended, Applebot-Extended, CCBot, cohere-ai) with the same private-path restrictions as everyone else. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Targets the biggest blind spot flagged by both reviewers + baseline: who is the word-to-color user, why they return, what they'd pay for. Ready-to-run: recruiting channels, behavioral questions (with EN versions for the mostly-English audience), analysis, and a tie-in to the V2 S2 exit gate. Hands the validation tool to the user — they only need to book ~10 conversations. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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背景
基于 Gemini 3.1 Pro + Codex 双 review 后重写的 V2 计划(验证+分发,见
docs/dev-plan-2026-05-31.md),以及对生产真实数据的挖掘(docs/baseline-metrics-2026-05-31.md)。关键数据发现
word-to-color是头号入口(直接 PV + GSC 非品牌词双料第一)改动(均低风险、已验证)
GEO(顺应 AI 引擎已是最大来源)
public/llms.txt— 引导 ChatGPT/Perplexity 引用关键工具/内容,带署名mainEntityOfPage/image/inLanguage/articleSection/about/publisher.logo),364 篇受益功能(打磨头号入口)
colorarchive.org/word-to-color引流署名;复用生产在用的 journal 导出技术,开放给所有用户文档
验证
npm run typecheck通过(干净 main 基础上)说明
fix/security-hardening-2026-05-30分支解耦——那批安全运维待办(token 轮换 / droplet 部署)不阻塞这些 SEO/功能改动main会触发生产部署,/llms.txt等届时生效🤖 Generated with Claude Code