RRepoGEO

REPOGEO REPORT · LITE

hashintel/hash

Default branch main · commit e2c4acf7 · scanned 5/24/2026, 4:17:22 AM

GitHub: 1,577 stars · 122 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 hashintel/hash, 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, category-specific tagline directly under the H1

    Why:

    CURRENT
    This is HASH's _public monorepo_ which contains our public code, docs, and other key resources.
    COPY-PASTE FIX
    HASH is the open-source, multi-tenant platform for self-building knowledge graphs and simulation. This monorepo contains our public code, docs, and other key resources.
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a section or sentence to the README, ideally under the existing 'License' heading, stating: 'HASH is licensed under [Specific License Name(s) or terms]. Please see the [LICENSE file](LICENSE) for full details.'
  • lowtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    ai, database, graph, hash, rust, simulation, type-system, typescript
    COPY-PASTE FIX
    ai, database, graph, hash, rust, simulation, type-system, typescript, knowledge-graph, multi-tenant, distributed-systems

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 hashintel/hash
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/jena
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/jena · recommended 2×
  2. vaticle/typedb · recommended 1×
  3. mason-sim/mason · recommended 1×
  4. AnyLogic Personal Learning Edition (PLE) · recommended 1×
  5. Repast/repast.simphony · recommended 1×
  • CATEGORY QUERY
    What are open-source multi-tenant platforms for building knowledge graphs and running simulations?
    you: not recommended
    AI recommended (in order):
    1. TypeDB (vaticle/typedb)
    2. MASON (mason-sim/mason)
    3. AnyLogic Personal Learning Edition (PLE)
    4. Repast Simphony (Repast/repast.simphony)
    5. Neo4j Community Edition (neo4j/neo4j)
    6. Apache Kafka (apache/kafka)
    7. SimPy (simpy/simpy)
    8. ArangoDB (arangodb/arangodb)
    9. mesa (projectmesa/mesa)
    10. Apache Jena Fuseki (apache/jena)
    11. Apache Jena (apache/jena)
    12. Pellet
    13. HermiT
    14. Dgraph (dgraph-io/dgraph)

    AI recommended 14 alternatives but never named hashintel/hash. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Rust or TypeScript-based graph database for AI applications and complex system simulations.
    you: not recommended
    AI recommended (in order):
    1. SurrealDB (surrealdb/surrealdb)
    2. Neo4j
    3. Dgraph
    4. ArangoDB
    5. Graphile Engine (graphile/graphile-engine)
    6. PostGraphile (graphile/postgraphile)
    7. PostgreSQL

    AI recommended 7 alternatives but never named hashintel/hash. 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 hashintel/hash?
    pass
    AI named hashintel/hash explicitly

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

  • If a team adopts hashintel/hash in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hashintel/hash 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 hashintel/hash solve, and who is the primary audience?
    pass
    AI named hashintel/hash 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 hashintel/hash. 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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  • Brand-free category queries5 vs 2 in Lite
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