RRepoGEO

REPOGEO REPORT · LITE

redpanda-data/connect

Default branch main · commit 5a68066a · scanned 7/1/2026, 8:51:40 AM

GitHub: 8,694 stars · 946 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 redpanda-data/connect, 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
    Emphasize Redpanda Connect's core differentiator in the README's opening

    Why:

    CURRENT
    # Redpanda Connect
    
    Redpanda Connect is a stream processor that moves data between a wide range of [sources][inputs] and [sinks][outputs], with support for [hydration, enrichment, transformation, and filtering][processors] along the way.
    COPY-PASTE FIX
    # Redpanda Connect: A Lightweight, High-Performance Go-based Stream Processor
    
    Redpanda Connect is a standalone, Go-based stream processor designed as a resource-efficient alternative to JVM-based solutions like Kafka Connect. It moves data between a wide range of [sources][inputs] and [sinks][outputs], with support for [hydration, enrichment, transformation, and filtering][processors] along the way.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the Apache-2.0 license text, as indicated by the 'Apache V2 API' badge in the README.
  • mediumtopics#3
    Add 'cdc' to repository topics

    Why:

    CURRENT
    amqp, cqrs, data-engineering, data-ops, etl, event-sourcing, go, golang, kafka, logs, message-bus, message-queue, nats, rabbitmq, stream-processing, stream-processor, streaming-data
    COPY-PASTE FIX
    amqp, cdc, cqrs, data-engineering, data-ops, etl, event-sourcing, go, golang, kafka, logs, message-bus, message-queue, nats, rabbitmq, stream-processing, stream-processor, streaming-data

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 redpanda-data/connect
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/kafka
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/kafka · recommended 3×
  2. confluentinc/ksql · recommended 1×
  3. debezium/debezium · recommended 1×
  4. apache/flink · recommended 1×
  5. Confluent Platform · recommended 1×
  • CATEGORY QUERY
    How to build robust data pipelines for real-time stream processing and database change capture?
    you: not recommended
    AI recommended (in order):
    1. Apache Kafka (apache/kafka)
    2. Kafka Connect (apache/kafka)
    3. Kafka Streams (apache/kafka)
    4. ksqlDB (confluentinc/ksql)
    5. Debezium (debezium/debezium)
    6. Apache Flink (apache/flink)
    7. Confluent Platform
    8. Kinesis Data Streams
    9. Kinesis Firehose
    10. Kinesis Data Analytics
    11. Google Cloud Dataflow
    12. Apache Beam (apache/beam)
    13. Striim

    AI recommended 13 alternatives but never named redpanda-data/connect. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source Go-based tools for event streaming and data integration?
    you: not recommended
    AI recommended (in order):
    1. Apache Kafka
    2. Sarama
    3. NATS Streaming Server
    4. Confluent KSQL
    5. Watermill
    6. Kafka-Go
    7. Apache Pulsar

    AI recommended 7 alternatives but never named redpanda-data/connect. 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 redpanda-data/connect?
    pass
    AI named redpanda-data/connect explicitly

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

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