Submit: E-GEO — open-source GEO/AEO toolkit with reproducible evaluation

data/submissions/e-geo-20260811.json

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+{
+  "id": "e-geo",
+  "name": "E-GEO",
+  "tagline": "Open-source GEO/AEO toolkit to analyze, rewrite, and evaluate content for AI answer engines",
+  "description": "E-GEO is an open-source Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) toolkit. It provides a Python CLI and Claude Code skills to analyze, rewrite, and evaluate content so it is easier for AI answer engines to understand and cite. It ships a reproducible offline evaluation harness, JSON-LD schema generation, and a continuous geo-loop mode over a persistent workspace. Evaluation scores are documented as a proxy, not a guarantee of rankings. MIT licensed, with docs and dated, honest tool comparisons at egeoagents.com.",
+  "url": "https://github.com/mverab/eGEOagents",
+  "imageUrl": "https://raw.githubusercontent.com/mverab/eGEOagents/main/assets/egeo-logo.png",
+  "pricing": "Open Source",
+  "categories": [
+    "Open Source",
+    "AI",
+    "Marketing"
+  ],
+  "tags": [
+    "geo",
+    "aeo",
+    "generative-engine-optimization",
+    "answer-engine-optimization",
+    "ai-search",
+    "seo",
+    "llm",
+    "python",
+    "cli",
+    "open-source"
+  ],
+  "createdAt": "2026-08-11T00:00:00.000000+00:00"
+}