seobuild-onpage v1.9.1
One command. Competitive data in. Ranking pages out.
claude install-skill gbessoni/seobuild-onpage
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 v1.9.1 -- Decision Fit Mapping + Brand Voice + Missing Spoke Detection:
- Brand differentiator injection via
--differentiators on research.py (e.g. --differentiators="women-owned, 24/7 service, no hidden fees"). Passes through to the brief output so the writing agent has strict brand constraints. Differentiators must be woven verbatim into the 500-token chunks and surfaced in the AI Summary Nugget -- paraphrased fluff fails the new Brand Identity check.
- Missing Spoke Detection -- the research pipeline now extracts internal-link anchor text from the top 3 competitors, filters out navigational generics (Home, Contact Us, Privacy, FAQ, etc.) and image-link leakage, and outputs a ranked
missing_spokes list. SKILL.md Section 12 now requires every generated page to append a ## Recommended Spoke Pages section built from this data.
- Decision Fit Mapping -- new checklist enforcement: heading structure must map to the user's psychological buying stage (Research / Compare / Buy) instead of copy-pasting competitor H2s.
- Execution Protocol now prompts for differentiators if the user didn't supply them up front -- the agent stops and asks before writing rather than producing generic AI homogenization.
- 51-point quality checklist -- adds Decision Fit (#49), Brand Identity (#50), Topical Silo (#51) checks. Passing threshold raised to 42/51.
New in v1.9.0 -- Massive Web Render as primary content parser:
- Massive Web Render (render.joinmassive.com) is now the primary competitor content parser when
MASSIVE_API_TOKEN is configured. Returns clean rendered markdown including JS-loaded content that DataForSEO's content_parsing/live endpoint misses.
- Graceful per-URL fallback to DataForSEO -- if Massive errors or returns empty for any single URL, that URL falls back to DataForSEO. A partial Massive outage cannot break a research run.
- SERP organic results and keyword data continue to come from DataForSEO -- Massive's
/search endpoint only returns "also-searched" query suggestions, not organic results, so the SERP path is unchanged.
content_parsers field added to research output so you can see exactly which parser handled each URL (e.g. {"massive": 4, "dataforseo-fallback": 1}).- Setup: add
MASSIVE_API_TOKEN=... to ~/.config/seo-agi/.env. No token = skill runs in pure DataForSEO mode exactly as before.
New in v1.8.0 -- Gemini 3.5 Flash RAG Optimization + Off-Page Trust Expansion:
- DOM Vectoring & Shard Extraction Compliance (Section 6) -- Google's AI Overviews are built by Gemini 3.5 Flash running a RAG pipeline that extracts structural "shards" from the raw HTML DOM. JSON-LD in
<head> is no longer sufficient by itself: critical data points must live in front-facing <table> markup or inline RDFa spans where a clean-session crawler can see them without JavaScript execution.
- Trust Pilot as Tier 1 Tributary -- added to the Tributary Trust Protocol as a first-class Tier 1 asset. Trustpilot is now a highly weighted trust/relevance signal for LLMs and demonstrably shifts brand description vectoring in Gemini and ChatGPT within 48 hours of publication.
- Off-Page Schema Injection -- new Tier 1 tactic. Embedding
Organization and Person JSON-LD schema in third-party properties (Cloud Pages, press releases) with explicit links back to the brand's Google Business Profile CID blocks Google's NavBoost from rank-shuffling the money page during A/B exposure tests.