REPOGEO REPORT · LITE

adriannovegil/awesome-observability

Default branch master · commit 277b043b · scanned 6/2/2026, 7:42:43 PM

GitHub: 636 stars · 120 forks

AI VISIBILITY SCORE

22 /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

1 / 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 adriannovegil/awesome-observability, 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

highabout#1

Clarify the repository description to specify it's a list of resources

Why:

CURRENT

Awesome observability page

COPY-PASTE FIX

A curated awesome list of resources, tools, and best practices for system observability, covering logs, metrics, and traces.

highhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/adriannovegil/awesome-observability
```

mediumtopics#3

Expand repository topics with more specific content keywords

Why:

CURRENT

awesome, awesome-list, observability

COPY-PASTE FIX

awesome, awesome-list, observability, logging, metrics, tracing, sre, devops, monitoring, best-practices, tools

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 adriannovegil/awesome-observability

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Datadog

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Datadog · recommended 1×
New Relic · recommended 1×
Dynatrace · recommended 1×
Grafana Labs · recommended 1×
grafana/grafana · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of tools and best practices for system observability?
you: not recommended
AI recommended (in order):
1. Datadog
2. New Relic
3. Dynatrace
4. Grafana Labs
5. Grafana (grafana/grafana)
6. Prometheus (prometheus/prometheus)
7. Loki (grafana/loki)
8. Tempo (grafana/tempo)
9. Elastic Stack
10. Elasticsearch (elastic/elasticsearch)
11. Kibana (elastic/kibana)
12. Beats (elastic/beats)
13. Logstash (elastic/logstash)
14. Jaeger (jaegertracing/jaeger)
15. Zipkin (openzipkin/zipkin)
16. The OpenTelemetry Project
17. CNCF (Cloud Native Computing Foundation) Observability Landscape
18. Google's SRE Book
19. Distributed Systems Observability by Cindy Sridharan
AI recommended 19 alternatives but never named adriannovegil/awesome-observability. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the essential tools and techniques for implementing logs, metrics, and traces?
you: not recommended
AI recommended (in order):
1. Elasticsearch
2. Kibana
3. Beats
4. Logstash
5. Splunk
6. Grafana Loki
7. Datadog Logs
8. Fluentd
9. Fluent Bit
10. Prometheus
11. Grafana
12. Datadog Metrics
13. InfluxDB
14. New Relic Metrics
15. OpenTelemetry
16. Jaeger
17. Zipkin
18. Datadog APM
19. New Relic APM
AI recommended 19 alternatives but never named adriannovegil/awesome-observability. 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 adriannovegil/awesome-observability?
pass
AI did not name adriannovegil/awesome-observability — 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 adriannovegil/awesome-observability in production, what risks or prerequisites should they evaluate first?
pass
AI named adriannovegil/awesome-observability 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 adriannovegil/awesome-observability solve, and who is the primary audience?
pass
AI did not name adriannovegil/awesome-observability — 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?

Embed your GEO score

Drop this badge into the README of adriannovegil/awesome-observability. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/adriannovegil/awesome-observability"><img src="https://repogeo.com/badge/adriannovegil/awesome-observability.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite