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Add version header and changelog callouts to README (v1.3.0)

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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Greg Bessoni
2026-03-25 09:03:51 -04:00
co-authored by Claude Opus 4.6
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# SEO-AGI
# SEO-AGI v1.3.0
### One command. Competitive data in. Ranking pages out.
```
claude install-skill gbessoni/seo-agi
```
Most SEO tools tell you what's wrong with your site. This one writes the pages.
`/seoagi "airport parking JFK"` pulls the current SERP, analyzes what's ranking, finds the gaps in their content, and writes you a complete page -- with the heading structure, depth, FAQ section, and schema markup that actually competes. Not thin content. Not keyword-stuffed filler. Pages backed by live data from the tools the pros use.
**New in v1.3.0 -- 2026 SEO Protocols:**
- **AI Summary Nuggets** -- every page opens with a 200-character fact-dense block designed for Perplexity/Gemini/ChatGPT to cite as a consensus source. Position zero for LLM retrieval.
- **Original Research Block** -- mandatory data experiment or first-hand observation section. Google's highest-priority E-E-A-T signal: Experience. Pages without original research cap at 20/28.
- **Map Traffic Shifting** -- internal links from high-traffic informational pages to map embeds, shifting engagement signals toward local intent.
- **Spam Resilience** -- quality scoring now prioritizes technical relevance density over "human tone." Factually perfect content is not downgraded for sounding clinical.
- **Recursive Fact-Checking** -- every claim validated against 2+ high-ranking sources for Entity Consensus before delivery.
- **28-point quality checklist** with mandatory printed scorecard at the end of every output.
**New in v1.2.0 -- Anti-Spam Ranking Signals:**
- Single H1 rule, no exact-match keyword in meta descriptions or subheadings
- No keyword-stuffed alt text, no duplicate content
- Internal linking requirements, broken backlink awareness
- Interactive elements (calculators, widgets) to defend against AI Overview traffic loss
**New in v1.1.0 -- GEO Framework Additions:**
- RAG Targeting: zero-volume long-tail queries that "train" AI to cite your domain
- Topical Circle Audit: stay inside your core service topic or dilute AI authority
- Off-Page Sequencing: establish third-party brand footprint before on-page SEO
- Reddit Subdomain Indexing: seed entity consensus across indexed Reddit layers
- Ask Maps / Conversational GBP Optimization
- FAQ/PAA section and JSON-LD schema now mandatory in every output
**I built this because I got tired of the gap between "SEO audit" and "published page."** I've been doing SEO for 20+ years in ground transportation (1M+ bookings, 2M+ rides across my companies). The workflow was always the same: pull SERP data, analyze competitors, find gaps, write brief, write page, add schema, publish. Over and over. So I turned that entire workflow into a single skill that any AI agent can execute.
The result? I used this to research a competitor's best-performing pages, built equivalent content with `/seoagi`, bought the exact-match domains, and every single page is ranking on page 1. That's not theory. That's the workflow.