RRepoGEO

REPOGEO REPORT · LITE

nirbar1985/ai-travel-agent

Default branch main · commit 930d9c49 · scanned 6/4/2026, 10:43:19 PM

GitHub: 769 stars · 154 forks

AI VISIBILITY SCORE
28 /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
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 nirbar1985/ai-travel-agent, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to emphasize application status

    Why:

    CURRENT
    Welcome to the AI Travel Agent repository! This project demonstrates how to leverage LangGraph for building a smart travel assistant that uses multiple language models (LLMs) to handle tasks such as finding flights, booking hotels, and sending personalized emails. The agent is designed to interact with users, invoke necessary tools, and provide a seamless travel planning experience.
    COPY-PASTE FIX
    Welcome to the AI Travel Agent repository! This project is a smart travel assistant, powered by LangGraph, designed to handle tasks such as finding flights, booking hotels, and sending personalized emails using multiple language models (LLMs). It interacts with users, invokes necessary tools, and provides a seamless travel planning experience.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    Add a URL to a live demo, documentation, or project website (e.g., 'https://your-demo-url.com')

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 nirbar1985/ai-travel-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How to build an AI assistant that plans trips and books travel using multiple LLMs?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset AI) (deepset-ai/haystack)
    4. OpenAI GPT-4
    5. GPT-3.5 Turbo
    6. Anthropic Claude 3
    7. Google Gemini
    8. Mistral Large
    9. Mixtral 8x7B
    10. RapidAPI
    11. Amadeus for Developers
    12. Google Flights API
    13. Skyscanner API
    14. Booking.com API
    15. Expedia API
    16. Stripe
    17. PayPal
    18. PostgreSQL
    19. pgvector (pgvector/pgvector)
    20. Pinecone
    21. Weaviate (weaviate/weaviate)
    22. Qdrant (qdrant/qdrant)
    23. Redis (redis/redis)
    24. AWS (Amazon Web Services)
    25. Google Cloud Platform (GCP)
    26. Microsoft Azure
    27. Hugging Face Spaces
    28. Gradio (gradio-app/gradio)

    AI recommended 28 alternatives but never named nirbar1985/ai-travel-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps create conversational AI for travel planning with human review and email automation?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Rasa X
    3. SendGrid
    4. Mailgun
    5. Google Dialogflow CX
    6. Google Cloud Contact Center AI
    7. Microsoft Bot Framework Composer
    8. Azure Cognitive Services
    9. Azure Functions
    10. Azure Logic Apps
    11. Outlook 365
    12. Amazon Lex
    13. Amazon CloudWatch
    14. AWS Lambda
    15. Amazon SES
    16. OpenAI GPT
    17. GPT-4
    18. Twilio Autopilot
    19. Twilio Flex

    AI recommended 19 alternatives but never named nirbar1985/ai-travel-agent. 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 nirbar1985/ai-travel-agent?
    pass
    AI did not name nirbar1985/ai-travel-agent — 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 nirbar1985/ai-travel-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nirbar1985/ai-travel-agent 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 nirbar1985/ai-travel-agent solve, and who is the primary audience?
    pass
    AI named nirbar1985/ai-travel-agent explicitly

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

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nirbar1985/ai-travel-agent — 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