REPOGEO REPORT · LITE

open-webui/openapi-servers

Default branch main · commit df86ff8a · scanned 6/4/2026, 9:18:17 PM

GitHub: 982 stars · 171 forks

AI VISIBILITY SCORE

33 /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

2 / 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 open-webui/openapi-servers, 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 H1 and opening paragraph to emphasize LLM agent tooling

Why:

CURRENT

# 🌟 OpenAPI Tool Servers

This repository provides reference OpenAPI Tool Server implementations making it easy and secure for developers to integrate external tooling and data sources into LLM agents and workflows.

COPY-PASTE FIX

# 🌟 OpenAPI Tool Servers for LLM Agents

This repository provides reference OpenAPI Tool Server implementations, specifically designed to make it easy and secure for developers to integrate external tooling and data sources directly into LLM agents and AI workflows.

hightopics#2
Update repository topics for better categorization
Why:
CURRENT
```
ai, mcp, openapi
```
COPY-PASTE FIX
```
ai, llm-agents, openapi, tool-integration, external-tools, api-gateway
```

mediumreadme#3

Add a 'Core Differentiator' section to the README

Why:

COPY-PASTE FIX

Add a new section, perhaps after "Why OpenAPI?", titled "✨ Core Differentiator" with content like: "Unlike generic API proxies or custom integration scripts, `openapi-servers` provides pre-built, secure, and standardized OpenAPI implementations specifically tailored for seamless integration with LLM agents. This means you get a robust, production-ready solution that leverages an industry standard, reducing development time and ensuring compatibility across diverse AI platforms."

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 open-webui/openapi-servers

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 1×
LlamaIndex · recommended 1×
AWS Secrets Manager · recommended 1×
Google Cloud Secret Manager · recommended 1×
Azure Key Vault · recommended 1×

CATEGORY QUERY
How can I securely connect external tools and data sources to my LLM agents?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. AWS Secrets Manager
4. Google Cloud Secret Manager
5. Azure Key Vault
6. HashiCorp Vault
7. OAuth 2.0
8. OpenID Connect (OIDC)
9. AWS API Gateway
10. Azure API Management
11. Google Cloud Endpoints
12. Virtual Private Cloud (VPC)
13. Private Link (AWS)
14. Private Endpoints (Azure)
15. Private Service Connect (GCP)
AI recommended 15 alternatives but never named open-webui/openapi-servers. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a way to integrate custom tools with AI models using standard API protocols.
you: not recommended
AI recommended (in order):
1. OpenAI API
2. LangChain (langchain-ai/langchain)
3. LlamaIndex (run-llama/llama_index)
4. Google Gemini API
5. Microsoft Semantic Kernel (microsoft/semantic-kernel)
6. Hugging Face Transformers (huggingface/transformers)
AI recommended 6 alternatives but never named open-webui/openapi-servers. 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 open-webui/openapi-servers?
pass
AI did not name open-webui/openapi-servers — 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?
If a team adopts open-webui/openapi-servers in production, what risks or prerequisites should they evaluate first?
pass
AI named open-webui/openapi-servers 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 open-webui/openapi-servers solve, and who is the primary audience?
pass
AI named open-webui/openapi-servers 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