RRepoGEO

REPOGEO REPORT · LITE

devflowinc/trieve

Default branch main · commit a99b21e2 · scanned 5/20/2026, 3:51:27 AM

GitHub: 2,656 stars · 243 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 devflowinc/trieve, 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
    Add a concise, problem-solution opening statement to the README

    Why:

    COPY-PASTE FIX
    Add a new first paragraph to the README, before the existing H2, like: "Trieve is an all-in-one API platform for building intelligent applications with integrated semantic search, recommendations, and Retrieval Augmented Generation (RAG). It provides a robust, self-hostable solution for developers to embed advanced AI capabilities into their products."
  • mediumtopics#2
    Expand topics to emphasize 'API platform' and 'AI solution'

    Why:

    CURRENT
    actix, actix-web, ai, artificial-intelligence, diesel, embedding, hacktoberfest, llm, postgresql, qdrant, qdrant-vector-database, rag, retrieval-augmented-generation, rust, search, search-engine, solidjs, tailwindcss, vector-search
    COPY-PASTE FIX
    actix, actix-web, ai, artificial-intelligence, diesel, embedding, hacktoberfest, llm, postgresql, qdrant, qdrant-vector-database, rag, retrieval-augmented-generation, rust, search, search-engine, solidjs, tailwindcss, vector-search, api-platform, ai-platform, search-api, rag-api, recommendations-api
  • lowcomparison#3
    Add a brief 'Why Trieve?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a section to the README titled "Why Trieve?" or "Trieve vs. Alternatives" that briefly explains how Trieve's integrated API platform approach differentiates it from standalone vector databases or search engines. For example: "Unlike standalone vector databases or search engines, Trieve offers an integrated API platform for RAG, semantic search, and recommendations, simplifying development for AI applications."

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 devflowinc/trieve
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. vespa-engine/vespa · recommended 1×
  3. weaviate/weaviate · recommended 1×
  4. elastic/elasticsearch · recommended 1×
  5. qdrant/qdrant · recommended 1×
  • CATEGORY QUERY
    What platforms provide an integrated API for RAG, semantic search, and content recommendations?
    you: not recommended
    AI recommended (in order):
    1. Vespa.ai (vespa-engine/vespa)
    2. Pinecone
    3. Weaviate (weaviate/weaviate)
    4. Elasticsearch (elastic/elasticsearch)
    5. Qdrant (qdrant/qdrant)
    6. Milvus (milvus-io/milvus)
    7. Algolia

    AI recommended 7 alternatives but never named devflowinc/trieve. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an API-driven solution for building AI applications with vector search and RAG capabilities.
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Qdrant
    4. Zilliz Cloud
    5. OpenSearch
    6. Supabase
    7. Redis Stack

    AI recommended 7 alternatives but never named devflowinc/trieve. 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 devflowinc/trieve?
    pass
    AI named devflowinc/trieve explicitly

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

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