RRepoGEO

REPOGEO REPORT · LITE

stanford-mast/blast

Default branch main · commit a5b7a13a · scanned 6/15/2026, 5:53:22 PM

GitHub: 776 stars · 51 forks

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 stanford-mast/blast, 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
  • highabout#1
    Clarify GitHub 'About' description to disambiguate project identity

    Why:

    CURRENT
    Open-source VMs-as-a-service
    COPY-PASTE FIX
    BLAST: An open-source VMs-as-a-service platform for high-performance web browsing AI. Not related to bioinformatics tools or LLM safety benchmarks.
  • mediumreadme#2
    Add an introductory paragraph to the README to position BLAST as a high-level serving engine

    Why:

    COPY-PASTE FIX
    BLAST provides a robust, OpenAI-compatible API for integrating advanced web browsing AI capabilities into any application. It acts as a high-performance serving layer, abstracting away the complexities of browser automation and large language model inference to deliver scalable, concurrent, and streaming AI-driven web interactions.
  • lowtopics#3
    Update GitHub topics to include 'AI platform' and 'OpenAI API compatible'

    Why:

    CURRENT
    ai-agents, browser-automation, llm-inference, python
    COPY-PASTE FIX
    ai-agents, browser-automation, llm-inference, python, ai-platform, openai-api-compatible, vms-as-a-service

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 stanford-mast/blast
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SerpApi
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SerpApi · recommended 1×
  2. Bright Data - Web Scraper API · recommended 1×
  3. ScrapingBee · recommended 1×
  4. Apify · recommended 1×
  5. Diffbot · recommended 1×
  • CATEGORY QUERY
    How to integrate web browsing AI capabilities into my application using an API?
    you: not recommended
    AI recommended (in order):
    1. SerpApi
    2. Bright Data - Web Scraper API
    3. ScrapingBee
    4. Apify
    5. Diffbot
    6. Crawlbase - Web Scraper API
    7. Oxylabs - Web Scraper API

    AI recommended 7 alternatives but never named stanford-mast/blast. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are high-performance open-source engines for automating browser tasks with AI?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Puppeteer
    3. Selenium WebDriver
    4. Cypress
    5. Browserless

    AI recommended 5 alternatives but never named stanford-mast/blast. 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 stanford-mast/blast?
    pass
    AI named stanford-mast/blast explicitly

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

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

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

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stanford-mast/blast — 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