RRepoGEO

REPOGEO REPORT · LITE

firecrawl/fireplexity

Default branch main · commit 7b7bb97c · scanned 5/26/2026, 8:22:54 PM

GitHub: 1,909 stars · 335 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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/fireplexity, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-search-engine, perplexity-ai, real-time-citations, streaming-responses, web-data, llm-applications, open-source, firecrawl
  • highlicense#2
    Add a LICENSE file with the MIT license

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository with the full text of the MIT License.
  • mediumreadme#3
    Expand README introduction to highlight 'Perplexity-like' features and audience

    Why:

    CURRENT
    # Fireplexity v2

AI search engine with web, news, and images.
    COPY-PASTE FIX
    # Fireplexity v2: Open Source Perplexity-like AI Search Engine

Fireplexity is an open-source AI search engine that provides real-time citations, streaming responses, and live web data, similar to Perplexity AI. It's built for developers and researchers looking to create advanced AI agents and search experiences.

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/fireplexity
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
elastic/elasticsearch
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. elastic/elasticsearch · recommended 1×
  2. apache/solr · recommended 1×
  3. weaviate/weaviate · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. run-llama/llama_index · recommended 1×
  • CATEGORY QUERY
    How to build an open-source AI search engine with real-time citations and streaming responses?
    you: not recommended
    AI recommended (in order):
    1. Elasticsearch (elastic/elasticsearch)
    2. Apache Solr (apache/solr)
    3. Weaviate (weaviate/weaviate)
    4. LangChain (langchain-ai/langchain)
    5. LlamaIndex (run-llama/llama_index)
    6. Haystack (deepset-ai/haystack)
    7. FastAPI (tiangolo/fastapi)
    8. Flask (pallets/flask)
    9. Flask-SocketIO (miguelgrinberg/flask-socketio)
    10. Node.js (nodejs/node)
    11. Express.js (expressjs/express)
    12. Socket.IO (socketio/socket.io)
    13. Llama 2 (meta-llama/llama-2)
    14. Mistral (mistralai/mistral-src)
    15. Falcon (tiiuae/falcon-7b)

    AI recommended 15 alternatives but never named firecrawl/fireplexity. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are self-hosted alternatives for an AI-powered search experience using live web data?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. Elasticsearch
    3. OpenSearch
    4. Scrapy
    5. Apache Nutch
    6. Apache Solr
    7. spaCy
    8. NLTK
    9. Hugging Face Transformers
    10. Weaviate
    11. Docker
    12. Kubernetes
    13. Marqo
    14. PostgreSQL
    15. pg_vector
    16. MongoDB

    AI recommended 16 alternatives but never named firecrawl/fireplexity. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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/fireplexity?
    pass
    AI named firecrawl/fireplexity 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/fireplexity in production, what risks or prerequisites should they evaluate first?
    pass
    AI named firecrawl/fireplexity 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/fireplexity solve, and who is the primary audience?
    pass
    AI named firecrawl/fireplexity 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/fireplexity — 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