RRepoGEO

REPOGEO REPORT · LITE

GreptimeTeam/greptimedb

Default branch main · commit f1ad4720 · scanned 5/22/2026, 6:21:32 AM

GitHub: 6,291 stars · 492 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
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 GreptimeTeam/greptimedb, 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, plain-text value proposition at the top of the README

    Why:

    CURRENT
    The README currently starts with a centered logo and then a centered H2.
    COPY-PASTE FIX
    Add the following as the very first line of the README, before any images or badges: "GreptimeDB is the open-source Observability 2.0 database, offering one engine for metrics, logs, and traces to replace Prometheus, Loki, and Elasticsearch."
  • mediumtopics#2
    Add 'time-series' to the repository topics

    Why:

    CURRENT
    ai-observability, analytics, cloud-native, database, distributed, greptimedb, llm-monitoring, logs, metrics, monitoring, object-storage, observability, observability-database, observability-datalake, opentelemetry, prometheus, promql, rust, sql, traces
    COPY-PASTE FIX
    ai-observability, analytics, cloud-native, database, distributed, greptimedb, llm-monitoring, logs, metrics, monitoring, object-storage, observability, observability-database, observability-datalake, opentelemetry, prometheus, promql, rust, sql, time-series, traces
  • lowcomparison#3
    Add a dedicated comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example:

## Comparison with Alternatives
GreptimeDB unifies metrics, logs, and traces, offering a single solution that replaces the complexity of managing separate systems like Prometheus, Loki, and Elasticsearch. Unlike general-purpose databases, GreptimeDB is optimized for time-series data, providing SQL and PromQL support on object storage for cost-effective, scalable observability.

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 GreptimeTeam/greptimedb
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
grafana/mimir
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. grafana/mimir · recommended 1×
  2. grafana/loki · recommended 1×
  3. grafana/tempo · recommended 1×
  4. ClickHouse/ClickHouse · recommended 1×
  5. elastic/elasticsearch · recommended 1×
  • CATEGORY QUERY
    What database unifies metrics, logs, and traces for observability, replacing Prometheus and Loki?
    you: not recommended
    AI recommended (in order):
    1. Grafana Mimir (grafana/mimir)
    2. Grafana Loki (grafana/loki)
    3. Grafana Tempo (grafana/tempo)
    4. ClickHouse (ClickHouse/ClickHouse)
    5. Elasticsearch (elastic/elasticsearch)
    6. Kibana (elastic/kibana)
    7. Beats (elastic/beats)
    8. Logstash (elastic/logstash)
    9. Splunk
    10. New Relic One

    AI recommended 10 alternatives but never named GreptimeTeam/greptimedb. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a distributed observability database for OpenTelemetry data with SQL and PromQL support.
    you: not recommended
    AI recommended (in order):
    1. ClickHouse
    2. VictoriaMetrics
    3. Thanos
    4. Cortex
    5. TimescaleDB
    6. Apache Druid
    7. Mimir

    AI recommended 7 alternatives but never named GreptimeTeam/greptimedb. 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 GreptimeTeam/greptimedb?
    pass
    AI named GreptimeTeam/greptimedb explicitly

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

  • If a team adopts GreptimeTeam/greptimedb in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GreptimeTeam/greptimedb 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 GreptimeTeam/greptimedb solve, and who is the primary audience?
    pass
    AI named GreptimeTeam/greptimedb 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 GreptimeTeam/greptimedb. 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
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite