REPOGEO REPORT · LITE

Storia-AI/sage

Default branch main · commit f47fa43e · scanned 5/21/2026, 12:32:02 AM

GitHub: 1,270 stars · 116 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

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 Storia-AI/sage, 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.

OVERALL DIRECTION

highreadme#1

Reposition README opening to emphasize 'AI-powered conversational assistant for codebases' and 'local execution for privacy'

Why:

CURRENT

Sage** is like an open-source GitHub Copilot that helps you learn how a codebase works and how to integrate it into your project without spending hours sifting through the code.

COPY-PASTE FIX

Sage is an **AI-powered conversational assistant** that lets you **chat with any codebase** to quickly understand its structure, functionality, and how to integrate it into your projects, all without manually sifting through files. It offers **fully local execution for privacy** or can leverage third-party LLM APIs for enhanced quality.

hightopics#2

Add more specific topics related to code understanding and AI chat

Why:

CURRENT

ai, anthropic, claude, copilot, developer-tools, hacktoberfest, hacktoberfest-2024, hacktoberfest2024, langchain, llm, openai, pinecone, python, rag

COPY-PASTE FIX

ai, anthropic, claude, copilot, developer-tools, langchain, llm, openai, pinecone, python, rag, codebase-understanding, code-exploration, code-assistant, conversational-ai, ai-chat, code-qa

mediumreadme#3

Create a dedicated 'Why Sage?' or 'Key Differentiators' section in the README

Why:

COPY-PASTE FIX

Add a new section, perhaps titled 'Why Sage?' or 'Key Differentiators', that explicitly outlines its advantages, such as 'Fully Local & Private AI', 'Chat with Any Codebase', and 'Flexible LLM & RAG Options'.

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.

Recall

0 / 2

0% of queries surface Storia-AI/sage

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Sourcegraph

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Sourcegraph · recommended 1×
CodeSee Maps · recommended 1×
Lattix Architect · recommended 1×
Understand (SciTools) · recommended 1×
github/codeql · recommended 1×

CATEGORY QUERY
How can I quickly understand a new codebase without manually sifting through files?
you: not recommended
AI recommended (in order):
1. Sourcegraph
2. CodeSee Maps
3. Lattix Architect
4. Understand (SciTools)
5. CodeQL (GitHub) (github/codeql)
6. cflow
7. JetBrains IDEs
8. VS Code (microsoft/vscode)
AI recommended 8 alternatives but never named Storia-AI/sage. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best open-source tools for local AI-powered code exploration?
you: not recommended
AI recommended (in order):
1. Continue
2. Cursor
3. Code Llama
4. Ollama
5. LM Studio
6. Open Interpreter
7. aider
8. GPT-Engineer
AI recommended 8 alternatives but never named Storia-AI/sage. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

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 Storia-AI/sage?
pass
AI named Storia-AI/sage explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Storia-AI/sage in production, what risks or prerequisites should they evaluate first?
pass
AI named Storia-AI/sage 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 Storia-AI/sage solve, and who is the primary audience?
pass
AI named Storia-AI/sage explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite