RRepoGEO

REPOGEO REPORT · LITE

vercel/chat

Default branch main · commit d3cd9719 · scanned 6/18/2026, 2:51:42 AM

GitHub: 2,099 stars · 232 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 vercel/chat, 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 to clarify it's a production SDK, not an example, and its focus on multi-platform bots.

    Why:

    CURRENT
    A unified TypeScript SDK for building chat bots across Slack, Microsoft Teams, Google Chat, Discord, Telegram, GitHub, Linear, and WhatsApp. Write your bot logic once, deploy everywhere.
    COPY-PASTE FIX
    The production-grade Chat SDK is a unified TypeScript SDK for building robust chat bots across Slack, Microsoft Teams, Google Chat, Discord, Telegram, GitHub, Linear, and WhatsApp. Write your bot logic once, deploy everywhere with a single, consistent API.
  • hightopics#2
    Remove the 'ai' topic and add more specific bot development topics.

    Why:

    CURRENT
    ai, chat, discord, google-chat, slack, teams, vercel
    COPY-PASTE FIX
    bot-development, chat, discord, google-chat, multi-platform, sdk, slack, teams, vercel
  • mediumreadme#3
    Add a 'Key Features' or 'Why Chat SDK?' section highlighting unified codebase and multi-platform support.

    Why:

    COPY-PASTE FIX
    ## Key Features

- **Write Once, Deploy Everywhere:** Develop your bot logic once and deploy it across all supported chat platforms.
- **Unified API:** Interact with different platforms using a consistent and intuitive TypeScript API.
- **Extensible Adapters:** Easily integrate with new platforms using a growing catalog of official and community adapters.

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 vercel/chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Bot Framework SDK
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Bot Framework SDK · recommended 1×
  2. Botpress · recommended 1×
  3. TypeChat · recommended 1×
  4. Telegraf · recommended 1×
  5. NestJS · recommended 1×
  • CATEGORY QUERY
    Looking for a TypeScript SDK to develop bots for various chat platforms simultaneously.
    you: not recommended
    AI recommended (in order):
    1. Bot Framework SDK
    2. Botpress
    3. TypeChat
    4. Telegraf
    5. NestJS

    AI recommended 5 alternatives but never named vercel/chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build a single chat bot codebase for Slack, Discord, and Teams?
    you: not recommended
    AI recommended (in order):
    1. Botpress (botpress/botpress)
    2. Microsoft Bot Framework (microsoft/botframework-sdk)
    3. Rasa (RasaHQ/rasa)
    4. Botkube (kubeshop/botkube)
    5. Pipedream (PipedreamHQ/pipedream)

    AI recommended 5 alternatives but never named vercel/chat. 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 vercel/chat?
    pass
    AI named vercel/chat explicitly

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

  • If a team adopts vercel/chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vercel/chat 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 vercel/chat solve, and who is the primary audience?
    pass
    AI named vercel/chat 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 vercel/chat. 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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vercel/chat — 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