RRepoGEO

REPOGEO REPORT · LITE

firecrawl/fire-enrich

Default branch main · commit 94e061dc · scanned 5/26/2026, 11:27:57 PM

GitHub: 1,181 stars · 297 forks

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 firecrawl/fire-enrich, 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
  • hightopics#1
    Add relevant GitHub topics to the repository

    Why:

    COPY-PASTE FIX
    data-enrichment, ai, web-scraping, company-data, sales-intelligence, lead-generation, email-enrichment, llm, multi-agent-ai
  • mediumreadme#2
    Explicitly state the target audience in the README's introduction

    Why:

    COPY-PASTE FIX
    Add this sentence after the first paragraph: "This tool is ideal for developers and data scientists looking to automate the extraction and enrichment of business-critical information from email lists."
  • mediumreadme#3
    Add a 'Why Fire Enrich?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README:

```
## Why Fire Enrich?

While tools like Clearbit, Hunter.io, and ZoomInfo offer robust data enrichment, Fire Enrich provides a flexible, open-source, and AI-powered alternative for developers and data scientists who need custom, programmatic control over their data enrichment workflows. Leverage the power of Firecrawl and multi-agent AI to build tailored solutions without vendor lock-in.
```

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 firecrawl/fire-enrich
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hunter.io
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hunter.io · recommended 1×
  2. Clearbit · recommended 1×
  3. BuiltWith · recommended 1×
  4. ZoomInfo · recommended 1×
  5. ScrapingBee · recommended 1×
  • CATEGORY QUERY
    How can I automatically extract company profiles and tech stacks from a list of emails?
    you: not recommended
    AI recommended (in order):
    1. Hunter.io
    2. Clearbit
    3. BuiltWith
    4. ZoomInfo
    5. ScrapingBee
    6. Bright Data
    7. Google Custom Search API

    AI recommended 7 alternatives but never named firecrawl/fire-enrich. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use AI to enrich contact data with funding, company, and technology insights?
    you: not recommended
    AI recommended (in order):
    1. ZoomInfo SalesOS
    2. Apollo.io
    3. Clearbit Enrichment
    4. Cognism
    5. Lusha
    6. Seamless.AI

    AI recommended 6 alternatives but never named firecrawl/fire-enrich. 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 firecrawl/fire-enrich?
    pass
    AI named firecrawl/fire-enrich explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts firecrawl/fire-enrich in production, what risks or prerequisites should they evaluate first?
    pass
    AI named firecrawl/fire-enrich 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 firecrawl/fire-enrich solve, and who is the primary audience?
    pass
    AI named firecrawl/fire-enrich explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)
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firecrawl/fire-enrich — 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