REPOGEO REPORT · LITE

oritera/Cairn

Default branch main · commit 2b86fba0 · scanned 6/19/2026, 10:07:15 AM

GitHub: 1,686 stars · 242 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 oritera/Cairn, 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 the README's opening to explicitly disambiguate `oritera/Cairn` and its core purpose

Why:

CURRENT

Cairn is a general-purpose problem-solving engine. <br/>It defines no roles, no workflows. Given an origin and a goal, it searches for a path through an unknown state space. <br/>AI Penetration Testing is one such problem — and a proven one.

COPY-PASTE FIX

This project, `oritera/Cairn`, is an **AI general-purpose state-space search engine**, initially validated for autonomous penetration testing. It defines no roles, no workflows; given an origin and a goal, it searches for a path through an unknown state space. AI Penetration Testing is one such problem — and a proven one.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
A valid URL for the project's official homepage or documentation.
```

lowreadme#3

Expand the README to briefly mention other potential applications beyond penetration testing

Why:

CURRENT

This structure is not unique to penetration testing. Vulnerability research, mathematical proof, CTF challenges — any problem with a clear starting point, a clear success condition, and an unknown path in between shares the same shape.

COPY-PASTE FIX

This structure is not unique to penetration testing. Cairn can be applied to problems like vulnerability research, mathematical proof, or CTF challenges — any problem with a clear starting point, a clear success condition, and an unknown path in between shares the same shape.

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 oritera/Cairn

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

AFL++

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

AFL++ · recommended 1×
LibFuzzer · recommended 1×
Peach Fuzzer · recommended 1×
OpenAI Gym · recommended 1×
Stable Baselines3 · recommended 1×

CATEGORY QUERY
How to automate penetration testing using AI for unknown state spaces?
you: not recommended
AI recommended (in order):
1. AFL++
2. LibFuzzer
3. Peach Fuzzer
4. OpenAI Gym
5. Stable Baselines3
6. Ray RLlib
7. PortSwigger Burp Suite Enterprise Edition
8. Invicti
9. Snyk Code
10. CodeQL
11. Neo4j
12. GraphDB
AI recommended 12 alternatives but never named oritera/Cairn. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an AI engine for general-purpose state-space search and problem-solving tasks.
you: not recommended
AI recommended (in order):
1. AIMA Python
2. PySwarm
3. OptaPlanner
4. Google OR-Tools
5. MiniZinc
6. Prolog
AI recommended 6 alternatives but never named oritera/Cairn. 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 oritera/Cairn?
pass
AI named oritera/Cairn explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts oritera/Cairn in production, what risks or prerequisites should they evaluate first?
pass
AI named oritera/Cairn 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 oritera/Cairn solve, and who is the primary audience?
pass
AI named oritera/Cairn 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 oritera/Cairn. 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)

[![RepoGEO](https://repogeo.com/badge/oritera/Cairn.svg)](https://repogeo.com/en/r/oritera/Cairn)

HTML

<a href="https://repogeo.com/en/r/oritera/Cairn"><img src="https://repogeo.com/badge/oritera/Cairn.svg" alt="RepoGEO" /></a>

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oritera/Cairn — 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