From 3575d057f0876be7a057e5043a88960decfa45db Mon Sep 17 00:00:00 2001 From: Greg Bessoni <12345678+gbessoni@users.noreply.github.com> Date: Wed, 25 Mar 2026 09:03:51 -0400 Subject: [PATCH] Add version header and changelog callouts to README (v1.3.0) Co-Authored-By: Claude Opus 4.6 (1M context) --- README.md | 28 +++++++++++++++++++++++++++- 1 file changed, 27 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 93085f6..a060cd6 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,37 @@ -# 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.