REPOGEO REPORT · LITE

SixHq/Overture

Default branch main · commit 14c89295 · scanned 6/10/2026, 9:31:37 PM

GitHub: 618 stars · 61 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

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 SixHq/Overture, 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

Add the project's precise definition to the top of the README

Why:

CURRENT

The README currently starts with a tagline and then dives into 'The Problem.'

COPY-PASTE FIX

Insert the following sentence immediately after the main title/logo section and before 'The Problem': 'Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.'

mediumhomepage#2

Populate the 'Homepage' field in the repository's About section

Why:

COPY-PASTE FIX

Add the official project website URL (e.g., `https://sixhq.github.io/Overture` or a dedicated documentation site) to the 'Homepage' field in the repository settings.

mediumtopics#3

Add more specific topics related to visualization and planning

Why:

CURRENT

ai-agent, ai-coding, automation, claude, claude-code, codex, copilot, cursor, deepseek, developer-tools, gemini, generative-ai, gpt, llm, mcp, mcp-server, openclaw, planning, typescript, vscode

COPY-PASTE FIX

Add `ai-agent-visualization`, `llm-planning-visualization`, `code-agent-debugger`, `flowchart-generator`, `execution-plan` to the existing topics.

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 SixHq/Overture

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

langchain-ai/langchain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

langchain-ai/langchain · recommended 1×
langchain-ai/langsmith · recommended 1×
microsoft/guidance · recommended 1×
microsoft/promptflow · recommended 1×
OpenAI Playground · recommended 1×

CATEGORY QUERY
How can I visualize the execution plan of an AI coding assistant before it generates code?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LangSmith (langchain-ai/langsmith)
3. Microsoft Guidance (microsoft/guidance)
4. PromptFlow (microsoft/promptflow)
5. OpenAI Playground
6. ChatGPT
7. AutoGen (microsoft/autogen)
8. BabyAGI (babyagi/babyagi)
9. Graphviz (graphviz/graphviz)
10. Mermaid.js (mermaid-js/mermaid)
AI recommended 10 alternatives but never named SixHq/Overture. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Tools to understand and debug the planning steps of large language model code generation agents?
you: not recommended
AI recommended (in order):
1. LangChain
2. OpenAI Evals
3. Weights & Biases Prompts
4. Ares
5. Streamlit
6. Panel
7. LlamaCloud
8. LlamaDebug
AI recommended 8 alternatives but never named SixHq/Overture. This is the gap to close.
Show full AI answer

Objective checks

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

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

Embed your GEO score

Drop this badge into the README of SixHq/Overture. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/SixHq/Overture.svg)](https://repogeo.com/en/r/SixHq/Overture)

HTML

<a href="https://repogeo.com/en/r/SixHq/Overture"><img src="https://repogeo.com/badge/SixHq/Overture.svg" alt="RepoGEO" /></a>

Pro

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SixHq/Overture — 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