RRepoGEO

REPOGEO REPORT · LITE

parseablehq/parseable

Default branch main · commit a3949b02 · scanned 5/27/2026, 7:32:02 PM

GitHub: 2,378 stars · 164 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 parseablehq/parseable, 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 README opening to highlight open-source datalake and unique architecture

    Why:

    CURRENT
    Parseable is a full-stack observability platform built to ingest, analyze and extract insights from all types of telemetry (MELT) data.
    COPY-PASTE FIX
    Parseable is an **open-source, cloud-native observability datalake** built from first principles to ingest, analyze, and extract insights from all types of telemetry (MELT) data. Unlike traditional solutions, Parseable leverages **object storage (like S3) as its primary, index-free storage** for logs, offering a simple, cost-effective, and scalable alternative to Elasticsearch, Splunk, and Loki.
  • hightopics#2
    Add 'open-source', 'observability', and 'datalake' topics

    Why:

    CURRENT
    analytics, cloud-native, docker, elasticsearch, elasticsearch-alternative, kubernetes, linux, log-storage, rust
    COPY-PASTE FIX
    analytics, cloud-native, docker, elasticsearch, elasticsearch-alternative, kubernetes, linux, log-storage, rust, open-source, observability, datalake
  • mediumreadme#3
    Add a 'Why Parseable?' or 'Alternatives' section to README

    Why:

    COPY-PASTE FIX
    ## Why Parseable? (or ## Alternatives)

Parseable stands apart from traditional observability platforms like Elasticsearch, Splunk, Loki, and ClickHouse-based solutions by utilizing **object storage (such as S3) as its primary, index-free storage for logs.** This architectural choice eliminates the need for complex indexing, significantly reducing operational overhead, infrastructure costs, and scaling challenges, while providing a simple, cost-effective, and scalable system for cloud-native environments.

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 parseablehq/parseable
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datadog
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Datadog · recommended 1×
  2. Splunk Cloud Platform · recommended 1×
  3. New Relic One · recommended 1×
  4. Dynatrace · recommended 1×
  5. Cribl Stream · recommended 1×
  • CATEGORY QUERY
    Looking for a cloud-native observability datalake to ingest and analyze all telemetry data.
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Splunk Cloud Platform
    3. New Relic One
    4. Dynatrace
    5. Cribl Stream
    6. Elastic Cloud
    7. Grafana Cloud

    AI recommended 7 alternatives but never named parseablehq/parseable. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source Elasticsearch alternatives for log storage and analytics built with Rust?
    you: not recommended
    AI recommended (in order):
    1. Quickwit
    2. MeiliSearch
    3. Sonic
    4. Vector
    5. Tantivy

    AI recommended 5 alternatives but never named parseablehq/parseable. 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 parseablehq/parseable?
    pass
    AI named parseablehq/parseable explicitly

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

  • If a team adopts parseablehq/parseable in production, what risks or prerequisites should they evaluate first?
    pass
    AI named parseablehq/parseable 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 parseablehq/parseable solve, and who is the primary audience?
    pass
    AI named parseablehq/parseable explicitly

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite