REPOGEO REPORT · LITE

cocoindex-io/cocoindex

Default branch main · commit e93c15db · scanned 5/8/2026, 4:02:06 AM

GitHub: 8,900 stars · 661 forks

AI VISIBILITY SCORE

33 /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

2 / 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 cocoindex-io/cocoindex, 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

Reposition the README's opening statement to clarify its domain

Why:

CURRENT

Your agents deserve *fresh context.*

COPY-PASTE FIX

Your agents deserve *fresh context.*

CocoIndex is an incremental data engine designed for AI agents, providing real-time, fresh context from diverse data sources. It is *not* a blockchain-specific project or a decentralized token index.

mediumtopics#2

Add competitor-aligned topics to improve category placement

Why:

CURRENT

agentic-data-framework, ai, ai-agents, change-data-capture, codebase-intelligence, context-engineering, data-engineering, data-indexing, data-processing, etl, help-wanted, indexing, knowledge-graph, llm, long-horizon-agent, python, rag, real-time, rust, semantic-search

COPY-PASTE FIX

agentic-data-framework, ai, ai-agents, change-data-capture, codebase-intelligence, context-engineering, data-engineering, data-indexing, data-processing, etl, help-wanted, indexing, knowledge-graph, llm, long-horizon-agent, python, rag, real-time, rust, semantic-search, vector-database, vector-search, stream-processing, incremental-processing

mediumcomparison#3

Add a comparison section to the README

Why:

COPY-PASTE FIX

Add a new section to the README, e.g., '## How CocoIndex Compares' or '## Why CocoIndex?', explaining its relationship to and differentiation from vector databases (like Pinecone, Weaviate) and stream processing frameworks (like Apache Flink, Kafka) in the context of AI agents.

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 cocoindex-io/cocoindex

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Pinecone

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Pinecone · recommended 1×
weaviate/weaviate · recommended 1×
qdrant/qdrant · recommended 1×
chroma-core/chroma · recommended 1×
facebookresearch/faiss · recommended 1×

CATEGORY QUERY
How to keep LLM agents updated with real-time, incrementally indexed context?
you: not recommended
AI recommended (in order):
1. Pinecone
2. Weaviate (weaviate/weaviate)
3. Qdrant (qdrant/qdrant)
4. Chroma (chroma-core/chroma)
5. Faiss (facebookresearch/faiss)
6. Elasticsearch (elastic/elasticsearch)
7. Redis (redis/redis)
AI recommended 7 alternatives but never named cocoindex-io/cocoindex. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Framework for incremental data processing and indexing to provide fresh context for AI?
you: not recommended
AI recommended (in order):
1. Apache Flink
2. Apache Kafka
3. Kafka Streams
4. ksqlDB
5. Delta Lake
6. Apache Iceberg
7. Apache Hudi
8. Apache Spark
9. Elasticsearch
10. Faiss
11. HNSWlib
12. Redis
13. RedisJSON
14. RediSearch
AI recommended 14 alternatives but never named cocoindex-io/cocoindex. 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 cocoindex-io/cocoindex?
pass
AI did not name cocoindex-io/cocoindex — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts cocoindex-io/cocoindex in production, what risks or prerequisites should they evaluate first?
pass
AI named cocoindex-io/cocoindex 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 cocoindex-io/cocoindex solve, and who is the primary audience?
pass
AI named cocoindex-io/cocoindex 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
Prioritized action items8 vs 3 in Lite