RRepoGEO

REPOGEO REPORT · LITE

konbakuyomu/smartsearch

Default branch main · commit 1a98c867 · scanned 6/14/2026, 10:06:46 AM

GitHub: 539 stars · 39 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 konbakuyomu/smartsearch, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    CLI-first web research tool for AI agents, providing a reproducible command layer for live search, source discovery, page fetching, and deep research planning.
  • mediumreadme#2
    Refine the README's opening sentence to emphasize its unique value for AI agents

    Why:

    CURRENT
    CLI-first, skill-driven web research for AI agents and terminal users. `smart-search` gives AI tools one reproducible command layer for live search, source discovery, page fetching, site mapping, provider diagnostics, offline Deep Research planning, and live Deep Research execution.
    COPY-PASTE FIX
    CLI-first, skill-driven web research for AI agents and terminal users. `smart-search` provides AI tools with a reproducible command layer for advanced web search, source discovery, page fetching, and deep research execution, overcoming the limitations of basic search APIs.

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 konbakuyomu/smartsearch
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. Google Custom Search JSON API · recommended 1×
  3. Bing Web Search API · recommended 1×
  4. DuckDuckGo API · recommended 1×
  5. You.com API · recommended 1×
  • CATEGORY QUERY
    How can I integrate web search capabilities into my AI agent's command line tools?
    you: not recommended
    AI recommended (in order):
    1. SerpAPI
    2. Google Custom Search JSON API
    3. Bing Web Search API
    4. DuckDuckGo API
    5. You.com API
    6. Brave Search API

    AI recommended 6 alternatives but never named konbakuyomu/smartsearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a terminal-based tool to perform comprehensive web research and information retrieval.
    you: not recommended
    AI recommended (in order):
    1. Lynx
    2. w3m
    3. curl/wget
    4. pup
    5. elinks
    6. browsh

    AI recommended 6 alternatives but never named konbakuyomu/smartsearch. 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 konbakuyomu/smartsearch?
    pass
    AI named konbakuyomu/smartsearch explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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