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AI visibility score
1.15/ 10Near-invisible

▲ 0.05 since Nov 2026

As of 2026-11-09 · Engagemii IndexCheck another site →Live terminal →

AI Visibility Scorecard

Actenon/actenon-scan

Actenon/actenon-scan

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actenon.com · Other

At 1.15/10, Actenon/actenon-scan is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Structured Data, Backlinks and Domain Authority. That is fixable, and the signals below show where to start.

AI engines read this profile 1 times

Claude

7

AI Naming Predictability

i

Rarely named · 7/100

Average 15

Top 82% of Other

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1.15

AEO Visibility

i

Near-invisible · 1.15/10

Average 1.4

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-

Network Authority

i

Not connected yet

0 relationships on record. Businesses average 3. Claim your page and Engagemii is your first.

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0

Muse Index Score

i

AI agent readiness

Not agent-ready · 0/100

Average 16

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8

AI Adoption

i

Basic · 8/100

Average 0

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About Actenon/actenon-scan

from our crawl and measurement

"Find where agent-controlled intent reaches consequential actions without an authority check. Python + TypeScript + Go. Zero-dependency SAST for AI agents. - Actenon/actenon-scan." That is how Actenon/actenon-scan introduces itself. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 1.15 out of 10.

Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.

AI crawlers have read this profile once in our tracking, including ClaudeBot (Anthropic).

Company ·
Actenon/actenon-scan
Website ·
actenon.com
Industry ·
Other
Site status ·
Live (The website showed an active business site when last checked (Nov 1, 2026).)
Last scored ·
Nov 9, 2026

The 6 on-page signals AI reads

Strong · Good · Fair · Weak

Structured Data

Weak

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

Strong

Clear headings and answer-style content.

Entity Clarity

Fair

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

Fair

Experience, Expertise, Authority, Trust markers.

Technical AEO

Fair

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

Good

Sitemaps and entity links AI can follow.

The 6 off-page signals AI reads

How the web signals your brand to AI

Backlinks

Weak

No inbound links found yet.

Domain Authority

Weak

Little domain authority yet.

Reference Presence

-

Not yet measured.

News & Press

Weak

No press coverage found yet.

Community

Weak

No community discussion yet.

Social Mentions

Weak

No social discussion found yet.

What this score means

Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can read your site and name it in answers. At 1.15/10, Actenon/actenon-scan is near-invisible to AI engines today. That is fixable, and the signals above are where to start.

Frequently Asked Questions

How to generate a fix?

actenon-scan fix path/to/file.py:42 # auto-select mode, print diff actenon-scan fix path/to/file.py:42 --mode guard # repository-native guard actenon-scan fix path/to/file.py:42 --mode approval # framework approval actenon-scan fix path/to/file.py:42 --mode actenon # Actenon proof verification actenon-scan fix path/to/file.py:42 --apply # write the change Remediation is offered in neutral order: repository-native.

How to add it to a PR?

GitHub Action (sticky comment + SARIF, zero config) # .github/workflows/actenon-scan.yml name: actenon-scan on: pull_request: push: branches: [main] schedule: - cron: '0 6 * * *' jobs: scan: runs-on: ubuntu-latest permissions: pull-requests: write # for the sticky comment security-events: write # for SARIF upload to Security tab contents: read steps: - uses: actions/checkout@v4 with: fetch-depth: 0 # required for.

How to export reports?

actenon-scan scan . --format html --output report.html # self-contained HTML actenon-scan scan . --format markdown --output report.md # GitHub issue / PR actenon-scan scan . --format sarif --output report.sarif # GitHub code scanning actenon-scan scan . --format list # old linter-style list actenon-scan scan .

How to suppress or baseline known findings?

# Suppress a single finding inline — BOTH syntaxes are accepted: # actenon-scan: ignore[REPOSITORY-MUTATION] # actenon-scan: suppress REPOSITORY-MUTATION # Baseline known findings: actenon-scan scan . --baseline known-findings.json # Generate a baseline from the current scan (locks in today's findings # so only NEW findings appear in future scans): actenon-scan baseline . --output known-findings.json

How to configure custom guards?

# Register a guard by name without a config file: actenon-scan scan . --guard my_authorize --guard require_permission # Or use a config file: actenon-scan scan . --config actenon-scan.json actenon-scan init --format json # write a default config Custom sinks and reachability signals (config-only, no code changes) You can extend detection without forking the repo.

Picked for Actenon/actenon-scan: AEO & AI Search

Why your brand doesn't show up in ChatGPT answers (and how to fix it)

ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.

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Source & Attribution

Scored by Engagemii on November 9, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/actenon

Cite this score: Engagemii (2026). "AEO Score for Actenon/actenon-scan." Retrieved from https://engagemii.com/aeo/brands/actenon

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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