REPOGEO REPORT · LITE
onvoyage-ai/gtm-engineer-skills
Default branch main · commit 37779301 · scanned 6/28/2026, 3:50:07 AM
GitHub: 1,246 stars · 28 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface onvoyage-ai/gtm-engineer-skills, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README opening to clarify purpose and audience
Why:
CURRENTSearch is shifting from blue links to AI answers — and the GTM playbook that won on Google does not win on ChatGPT, Claude, or Perplexity. Most AI agents still respond with generic marketing copy that no one will rank, cite, or publish. This repo is a different kind of toolkit. Each skill is a focused agent workflow that ships a concrete GTM artifact — a brand DNA doc, a keyword or GEO prompt cluster, a content architecture, AI-citable charts, an AEO audit, a backlink plan, or code-level website fixes. Outputs are files an operator can review, publish, test, or hand to the next skill in the pipeline.
COPY-PASTE FIXThis repository provides a toolkit of Claude Code skills for Go-to-Market (GTM) Engineers, specifically designed to improve website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores. Unlike traditional SEO tools, this repo offers focused AI agent workflows that ship concrete GTM artifacts—from brand DNA docs and keyword clusters to AI-citable charts and code-level website fixes—to help your content rank and get cited by AI agents like ChatGPT, Claude, or Perplexity.
- mediumtopics#2Add topics to reinforce 'GTM engineer toolkit' and 'AI agent workflow'
Why:
CURRENTaeo, ai-optimization, claude-code, geo, llms-txt, seo, structured-data
COPY-PASTE FIXaeo, ai-optimization, claude-code, geo, llms-txt, seo, structured-data, gtm-engineer, ai-agent-skills, content-architecture
- mediumreadme#3Add a 'Who is this for?' section to clarify target audience
Why:
COPY-PASTE FIX## Who is this for? This toolkit is built for Go-to-Market (GTM) Engineers, content strategists, and marketing technologists who are actively working to improve their website's performance in AI search engines and generative AI platforms. It provides practical, executable AI agent workflows to produce concrete outputs for AEO and GEO, not just theoretical frameworks.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Google's Structured Data Testing Tool · recommended 1×
- Schema.org's Validator · recommended 1×
- Google PageSpeed Insights · recommended 1×
- Google Search Console · recommended 1×
- Screaming Frog SEO Spider · recommended 1×
- CATEGORY QUERYHow to optimize website technical SEO for better performance in AI search engines?you: not recommendedAI recommended (in order):
- Google's Structured Data Testing Tool
- Schema.org's Validator
- Google PageSpeed Insights
- Google Search Console
- Screaming Frog SEO Spider
- Bing Webmaster Tools
- Google's Mobile-Friendly Test
AI recommended 7 alternatives but never named onvoyage-ai/gtm-engineer-skills. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat frameworks assist with structured data and content architecture for AI engine optimization?you: not recommendedAI recommended (in order):
- Schema.org
- JSON-LD
- Contentful
- Sanity.io
- Strapi (strapi/strapi)
- RDF
- OWL
- Apache Jena
- GraphQL
- Apache Atlas
- Open Graph Protocol
- Twitter Cards
AI recommended 12 alternatives but never named onvoyage-ai/gtm-engineer-skills. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of onvoyage-ai/gtm-engineer-skills?passAI named onvoyage-ai/gtm-engineer-skills explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts onvoyage-ai/gtm-engineer-skills in production, what risks or prerequisites should they evaluate first?passAI named onvoyage-ai/gtm-engineer-skills explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo onvoyage-ai/gtm-engineer-skills solve, and who is the primary audience?passAI did not name onvoyage-ai/gtm-engineer-skills — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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onvoyage-ai/gtm-engineer-skills — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite