RRepoGEO

REPOGEO REPORT · LITE

trustgraph-ai/TrustGraph

Default branch master · commit a3df4f62 · scanned 6/26/2026, 2:12:15 PM

GitHub: 2,226 stars · 259 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 trustgraph-ai/TrustGraph, 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
  • mediumtopics#1
    Add more specific topics related to LLM context and token optimization

    Why:

    CURRENT
    agent, agent-harness, agent-memory, agent-runtime, ai-infra, context, context-graph, explainable-ai, graph, graph-database, holon, knowledge-graph, neuro-symbolic-ai, ontology, open-source, owl, rdf, shacl, sparql, trustgraph
    COPY-PASTE FIX
    agent, agent-harness, agent-memory, agent-runtime, ai-infra, context, context-graph, explainable-ai, graph, graph-database, holon, knowledge-graph, llm-context, llm-agents, token-optimization, neuro-symbolic-ai, ontology, open-source, owl, rdf, shacl, sparql, trustgraph
  • lowreadme#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
TrustGraph is not a generic vector database (like Pinecone, Weaviate, Chroma) or a general-purpose graph database (like Neo4j). While it uses graph structures, its core focus is on providing a holonic context harness for LLM agents, leveraging semantic web standards (RDF, OWL, SHACL) to enable structured, versioned, and token-efficient context management. Unlike broad agent frameworks (like LangChain or LlamaIndex), TrustGraph provides the underlying infrastructure for context, allowing agents to operate with a sovereign, private, and grounded intelligence layer.

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 trustgraph-ai/TrustGraph
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 1×
  2. weaviate/weaviate · recommended 1×
  3. chroma-core/chroma · recommended 1×
  4. redis/redis · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How can I efficiently manage and reuse context across multiple AI agents to reduce LLM tokens?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate (weaviate/weaviate)
    3. Chroma (chroma-core/chroma)
    4. Redis (redis/redis)
    5. LangChain (langchain-ai/langchain)
    6. Neo4j (neo4j/neo4j)
    7. Grakn (now TypeDB) (vaticle/typedb)
    8. LlamaIndex (formerly GPT Index) (run-llama/llama_index)

    AI recommended 8 alternatives but never named trustgraph-ai/TrustGraph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking open-source infrastructure for LLM agents, offering graph-grounded retrieval and semantic context management.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Neo4j
    4. Weaviate
    5. GraphRAG
    6. DGL (Deep Graph Library)

    AI recommended 6 alternatives but never named trustgraph-ai/TrustGraph. 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 trustgraph-ai/TrustGraph?
    pass
    AI named trustgraph-ai/TrustGraph explicitly

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

  • If a team adopts trustgraph-ai/TrustGraph in production, what risks or prerequisites should they evaluate first?
    pass
    AI named trustgraph-ai/TrustGraph 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 trustgraph-ai/TrustGraph solve, and who is the primary audience?
    pass
    AI named trustgraph-ai/TrustGraph 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 trustgraph-ai/TrustGraph. 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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HTML
<a href="https://repogeo.com/en/r/trustgraph-ai/TrustGraph"><img src="https://repogeo.com/badge/trustgraph-ai/TrustGraph.svg" alt="RepoGEO" /></a>
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite