RRepoGEO

REPOGEO REPORT · LITE

Azure-Samples/contoso-real-estate

Default branch main · commit e4c3bd81 · scanned 6/9/2026, 7:12:09 PM

GitHub: 971 stars · 539 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
22 /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
1 / 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 Azure-Samples/contoso-real-estate, 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 the README H1 to specify archived sample status

    Why:

    CURRENT
    ## Enterprise-grade Reference Architecture for JavaScript
    COPY-PASTE FIX
    ## Archived Enterprise-grade Reference Architecture Sample for JavaScript
  • highabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/Azure-Samples/contoso-real-estate
  • mediumabout#3
    Update the About description to reflect archived status and purpose

    Why:

    CURRENT
    Intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests.
    COPY-PASTE FIX
    Archived intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests. This repository serves as a historical sample.

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 Azure-Samples/contoso-real-estate
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure Kubernetes Service (AKS)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure Kubernetes Service (AKS) · recommended 1×
  2. Node.js · recommended 1×
  3. Express.js · recommended 1×
  4. Docker · recommended 1×
  5. Horizontal Pod Autoscaler (HPA) · recommended 1×
  • CATEGORY QUERY
    What are best practices for building scalable enterprise JavaScript cloud applications on Azure?
    you: not recommended
    AI recommended (in order):
    1. Azure Kubernetes Service (AKS)
    2. Node.js
    3. Express.js
    4. Docker
    5. Horizontal Pod Autoscaler (HPA)
    6. Azure Container Registry (ACR)
    7. Managed Identity
    8. Azure Monitor
    9. Azure Application Insights
    10. Azure Log Analytics
    11. Azure App Service (Web Apps)
    12. Azure Front Door
    13. Azure Application Gateway
    14. Azure Functions (Serverless)
    15. Durable Functions
    16. Azure API Management
    17. Azure Cosmos DB
    18. Azure SQL Database
    19. Azure Cache for Redis
    20. Azure Storage
    21. Blob Storage
    22. Queue Storage
    23. Table Storage
    24. Azure CDN

    AI recommended 24 alternatives but never named Azure-Samples/contoso-real-estate. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate an AI chatbot using RAG into a modern JavaScript application architecture?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.ts
    3. OpenAI API
    4. Anthropic Claude API
    5. Google Gemini API
    6. Pinecone
    7. Weaviate
    8. Qdrant
    9. Chroma
    10. Next.js
    11. Remix
    12. SvelteKit
    13. Vercel
    14. Netlify
    15. AWS Amplify
    16. React
    17. Vue
    18. Svelte

    AI recommended 18 alternatives but never named Azure-Samples/contoso-real-estate. 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 Azure-Samples/contoso-real-estate?
    pass
    AI did not name Azure-Samples/contoso-real-estate — 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 Azure-Samples/contoso-real-estate in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Azure-Samples/contoso-real-estate 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 Azure-Samples/contoso-real-estate solve, and who is the primary audience?
    pass
    AI did not name Azure-Samples/contoso-real-estate — 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?

Embed your GEO score

Drop this badge into the README of Azure-Samples/contoso-real-estate. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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Azure-Samples/contoso-real-estate — 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