optimize: GEO-rank README for AI search engine discoverability#12
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Expands semantic coverage so E-GEO appears in Perplexity/ChatGPT queries about generative engine optimization tools. Based on competitive analysis of top-ranking GEO repos (geo-optimizer-skill, awesome-generative-engine- optimization, GEO-optim/GEO). Changes: - Expand subtitle to include GEO + AEO (both search terms) - Rewrite intro paragraph with 8 AI engine names as keywords - Add 'Why AI Visibility Matters in 2026' section with market stats - Expand research section with inline academic citations (KDD 2024) - Replace generic comparison table with named-competitor comparison - Add SEO & AI Search Glossary section (captures long-tail queries) - Keyword-rich footer with ChatGPT, Perplexity, Claude, Gemini Also applied directly to repo (not in this PR): - GitHub Topics: expanded from 11 to 20 (max allowed) - Description: rewritten with AEO, GEO, AI SEO, LLM SEO keywords
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🎯 Objective
Make E-GEO appear in Perplexity/ChatGPT answers when users search for open-source generative engine optimization tools.
Right now, querying Perplexity for "best open-source GEO tools on GitHub" returns 8 competing projects — E-GEO does not appear, despite having more stars (122) than some that do (izak-fisher: 93). The problem is semantic discoverability, not popularity.
📊 What the competitors do better
Based on a competitive analysis against the top-ranking repos:
✅ Changes in this PR
README.md (+65 lines, -16 lines)
Already applied to repo directly (not in this PR)
These are repo-level settings that cannot go through a PR:
aeo,answer-engine-optimization,ai-seo,llm-seo,ai-search-optimization,ai-visibility,seo,chatgpt,perplexity,gemini,claude,citation-tracking,llms-txt,python,cli,mcp🧪 Verification
After merging, re-query Perplexity in 3-7 days (indexing lag):
E-GEO should start appearing in the response.
📋 Remaining actions (post-merge)
pip install egeoagents)egeo.dev)