RRepoGEO

REPOGEO REPORT · LITE

incidentfox/incidentfox

Default branch main · commit 1b6ffad4 · scanned 6/10/2026, 9:56:59 AM

GitHub: 619 stars · 71 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
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 incidentfox/incidentfox, 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
    Strengthen README introduction to highlight AI as the core differentiator

    Why:

    CURRENT
    **IncidentFox** is the open-source AI SRE that automatically investigates production incidents, correlates alerts, analyzes logs, and finds root causes.
    COPY-PASTE FIX
    **IncidentFox** is the only open-source AI SRE platform that autonomously investigates production incidents, correlates alerts, analyzes logs, and finds root causes, providing a powerful alternative to commercial AI incident management solutions.
  • mediumreadme#2
    Add a dedicated comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, such as '## Why IncidentFox? (vs. Commercial Solutions)' or '## IncidentFox vs. PagerDuty, Splunk On-Call, etc.', detailing its unique advantages like open-source nature, self-hosting, specific AI capabilities, and cost-effectiveness.
  • lowreadme#3
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., '## License
    IncidentFox is licensed under [Specific License Name(s) here]. Please refer to the [LICENSE file](LICENSE) for full details.' (Maintainer should replace '[Specific License Name(s) here]' with the actual license name(s) from the LICENSE file).

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 incidentfox/incidentfox
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PagerDuty
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PagerDuty · recommended 2×
  2. Splunk On-Call · recommended 2×
  3. Grafana Incident · recommended 1×
  4. Cortex · recommended 1×
  5. Jira Service Management · recommended 1×
  • CATEGORY QUERY
    How can I automate incident investigation and root cause analysis in my SRE workflow?
    you: not recommended
    AI recommended (in order):
    1. PagerDuty
    2. Splunk On-Call
    3. Grafana Incident
    4. Cortex
    5. Jira Service Management
    6. Gremlin
    7. Lightstep

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

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI-powered tools for incident management and SRE automation?
    you: not recommended
    AI recommended (in order):
    1. PagerDuty
    2. Splunk On-Call
    3. Moogsoft
    4. BigPanda
    5. Dynatrace
    6. Datadog
    7. ServiceNow IT Operations Management (ITOM)

    AI recommended 7 alternatives but never named incidentfox/incidentfox. 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 incidentfox/incidentfox?
    pass
    AI did not name incidentfox/incidentfox — 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 incidentfox/incidentfox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named incidentfox/incidentfox 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 incidentfox/incidentfox solve, and who is the primary audience?
    pass
    AI named incidentfox/incidentfox 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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MARKDOWN (README)
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incidentfox/incidentfox — 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