RRepoGEO

REPOGEO REPORT · LITE

supermemoryai/opensearch-ai

Default branch main · commit 3d8c34a9 · scanned 6/21/2026, 10:07:59 PM

GitHub: 1,320 stars · 198 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
35 /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
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 supermemoryai/opensearch-ai, 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
    Clarify README's opening to prevent miscategorization as an OpenSearch plugin

    Why:

    CURRENT
    ## OpenSearch GPT

A personalised AI search engine that learns about you and your interests as you browse the web. It's like a perplexity / searchGPT clone, but for _you_.
    COPY-PASTE FIX
    ## OpenSearch GPT: A Personalized AI Search Engine

OpenSearch GPT is a personalized AI search engine, inspired by Perplexity and SearchGPT, that learns about you and your interests as you browse the web. This project is a standalone application, *not* an OpenSearch plugin.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["ai-search-engine", "personalized-search", "perplexity-clone", "searchgpt", "rag", "nextjs", "vercel-ai-sdk", "supermemory"]
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 supermemoryai/opensearch-ai
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. tiangolo/fastapi · recommended 2×
  3. Google Analytics 4 (GA4) · recommended 1×
  4. Mixpanel · recommended 1×
  5. Segment · recommended 1×
  • CATEGORY QUERY
    How to develop a personalized AI search engine that learns user interests?
    you: not recommended
    AI recommended (in order):
    1. Google Analytics 4 (GA4)
    2. Mixpanel
    3. Segment
    4. Faiss (facebookresearch/faiss)
    5. Scikit-learn (scikit-learn/scikit-learn)
    6. TensorFlow (tensorflow/tensorflow)
    7. PyTorch (pytorch/pytorch)
    8. Elasticsearch (elastic/elasticsearch)
    9. Solr (apache/solr)
    10. Pinecone
    11. LightFM (lyst/lightfm)
    12. Surprise (NicolasHug/Surprise)
    13. TensorFlow Recommenders (TFRS) (tensorflow/recommenders)
    14. Python
    15. Flask (pallets/flask)
    16. FastAPI (tiangolo/fastapi)
    17. Node.js (nodejs/node)
    18. Express.js (expressjs/express)

    AI recommended 18 alternatives but never named supermemoryai/opensearch-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for tools to build a custom AI web assistant with memory retention.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI API
    3. Pinecone
    4. Chroma (chromaj-ai/chroma)
    5. FastAPI (tiangolo/fastapi)
    6. React (facebook/react)
    7. Next.js (vercel/next.js)

    AI recommended 7 alternatives but never named supermemoryai/opensearch-ai. 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 supermemoryai/opensearch-ai?
    pass
    AI named supermemoryai/opensearch-ai explicitly

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

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

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

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MARKDOWN (README)
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supermemoryai/opensearch-ai — 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