REPOGEO REPORT · LITE

FellouAI/eko

Default branch main · commit c3de315a · scanned 6/30/2026, 10:03:10 AM

GitHub: 4,933 stars · 439 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 FellouAI/eko, 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's opening sentence for clarity and impact

Why:

CURRENT

Eko (pronounced like 'echo') is a production-ready JavaScript framework that enables developers to create reliable agents, **from simple commands to complex workflows**. It provides a unified interface for running agents in both **computer and browser environments**.

COPY-PASTE FIX

Eko is the production-ready JavaScript framework for building reliable, complex AI agent workflows that operate seamlessly across both computer and browser environments, enabling natural language automation.

mediumreadme#2

Populate the 'Framework Comparison' section in the README

Why:

CURRENT

## Framework Comparison

| Feature |

COPY-PASTE FIX

## Framework Comparison

| Feature                               | Eko (FellouAI/eko)                                     | LangChain (Python)                                     | Playwright (JS/TS)                                     |
| :------------------------------------ | :----------------------------------------------------- | :----------------------------------------------------- | :----------------------------------------------------- |
| **Primary Language**                  | JavaScript/TypeScript                                  | Python (primary), JS/TS (secondary)                    | JavaScript/TypeScript                                  |
| **Core Focus**                        | Production-ready Agentic Workflows (Computer & Browser)| LLM Orchestration, Agent Development (broader)         | Headless Browser Automation                            |
| **Unified Env. Automation**           | ✅ Computer & Browser                                  | ❌ Primarily LLM/API orchestration                     | ❌ Browser only                                        |
| **Workflow Recovery (Snapshot)**      | ✅ Built-in `task_snapshot` for pause/resume/interrupt | ❌ Requires custom implementation                      | ❌ Not applicable (session-based)                      |
| **Production-Readiness**              | ✅ Designed for reliability & scale                    | ⚠️ Requires significant engineering for production     | ✅ Production-grade for browser automation             |
| **Target Audience**                   | JS/TS developers building robust AI agents             | Data Scientists, ML Engineers, Python developers       | QA Engineers, Web Scrapers, JS/TS developers           |

lowreadme#3

Add a concise 'What is Eko?' section to the README

Why:

COPY-PASTE FIX

## What is Eko?

Eko is a robust JavaScript framework designed for building and managing complex AI agent workflows. It provides a unified API for agents to interact with both desktop applications and web browsers using natural language, ensuring reliability and production-readiness with features like workflow recovery.

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 FellouAI/eko

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
LlamaIndex · recommended 2×
Playwright · recommended 1×
Selenium WebDriver · recommended 1×
PyAutoGUI · recommended 1×

CATEGORY QUERY
How to build reliable AI agents for production using natural language across browser and desktop?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Playwright
4. Selenium WebDriver
5. PyAutoGUI
6. Appium
7. OpenAI API
8. Anthropic
9. Google Gemini
AI recommended 9 alternatives but never named FellouAI/eko. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What framework helps manage complex LLM agent workflows with robust recovery and browser automation?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. AutoGPT
4. Microsoft Semantic Kernel
5. Haystack
6. CrewAI
AI recommended 6 alternatives but never named FellouAI/eko. 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 FellouAI/eko?
pass
AI named FellouAI/eko explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts FellouAI/eko in production, what risks or prerequisites should they evaluate first?
pass
AI named FellouAI/eko 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 FellouAI/eko solve, and who is the primary audience?
pass
AI named FellouAI/eko 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 FellouAI/eko. 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/FellouAI/eko.svg)](https://repogeo.com/en/r/FellouAI/eko)

HTML

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

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FellouAI/eko — 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