- Mandatory 200-char AI Summary Nugget at top of every page for LLM citation
- Original Research / Data Experiment block required for E-E-A-T Experience signal
- Map Traffic Shifting: internal link from informational pages to map embeds
- Spam Resilience: prioritize technical relevance density over human tone
- Recursive Fact-Checking: validate claims against 2+ sources for Entity Consensus
- Quality checklist expanded from 24 to 28 items
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Section 3: Entity-based headings rule (no EMQ in H2/H3/H4)
- Section 8: URL optimization + interactive elements for AI Overview defense
- Section 9: Anti-spam Never Do rules (multiple H1, EMQ in meta desc, alt text stuffing, duplicate content, weak internal linking)
- Section 14: 4 new scorecard rows (21-24), threshold now 20/24
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Execution protocol now enforces: FAQ/PAA section (step 4), hub-spoke
internal links (step 5), JSON-LD schema block (step 8), and printed
20-point quality scorecard at end of every output (step 9).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Writes pages that rank on Google AND get cited by LLMs. 500-token chunk
architecture, RAG targeting, Reddit Test quality gates, verification tags,
competitive data from DataForSEO/Ahrefs/SEMRush/GSC.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
GEO framework that writes pages ranking on Google AND getting cited by
LLMs. 500-token chunk architecture, Reddit Test quality gates,
verification tags, Not For You blocks, information gain enforcement.
Data layer: DataForSEO, GSC, Ahrefs MCP, SEMRush MCP.
21 files, all tests passing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
