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AI Visibility Scorecard

Planet Argon

Planet Argon

Unclaimed

planetargon.com · computer software

Somewhat visible. AI bots can read Planet Argon, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 4 times

Claude · Apple Intelligence · ChatGPT

#46,938 of 2,808,083 in Technology for AI visibility

6.8

/10

AEO Score

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About Planet Argon

from our crawl and measurement

"Planet Argon is a software consultancy founded in Portland, Oregon in 2002. We specialize in maintaining, upgrading, and improving existing web applications, with deep expertise in Ruby on." That is how Planet Argon of Portland, OR introduces itself. Its AI visibility score is 6.8 out of 10: the engines can find it, but they do not have much to hold on to.

On its own pages the site does well on structured data describing the business, a clear heading structure, a clearly stated business identity, visible credibility markers, crawler access and the files AI engines look for and sitemaps and entity links AI can follow.

Off the page, other sites link to it and people discuss it in places AI engines read. There is some, but not much, sign that the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.

AI crawlers have visited 4 times in our tracking, including ClaudeBot (Anthropic), Applebot (Siri) and GPTBot (ChatGPT). It does link out to several social profiles, which helps engines tie the brand together. The business dates to 2002.

Industry · computer software
Last scored · Aug 2, 2026
Employees · 11-50
Founded · 2002

The 6 signals AI reads

Higher is better · 0-10

Structured Data

10

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

10

Clear headings and answer-style content.

Entity Clarity

10

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

10

Experience, Expertise, Authority, Trust markers.

Technical AEO

9

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

AI Discoverability

9

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

10

Inbound links from other sites.

Domain Trust

4

Established authority for your domain.

Entity Presence

0

Not in AI knowledge graphs yet.

News Mentions

0

No press coverage found yet.

Community

5

Forum and community discussion.

Reddit

0

No Reddit mentions found yet.

What this score means

Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.8/10, Planet Argon has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

Where are Planet Argon's team members located?

Our core team and nearshore engineers work remotely across North American time zones.

What type of work do you focus on?

We help with overdue upgrades, feature development, optimization, and long-term maintenance of Ruby on Rails apps.

What industries do your clients work in?

Most commonly, Publishing, Education, Finance, Real Estate, and e-commerce.

Could I speak to your current and/or former clients?

Yes! Our clients are open to sharing their experience. Ask us for an intro.

What tools will we need to use to collaborate with your team?

We use JIRA to collaborate on your tickets and we will provide you with training on how to use it. Additionally, we use Slack channels for specific launch conversations and video conferencing tools for meetings. There will be many ways for you to interact with our team, and we'll be happy to provide training on any new tools you may need to use.

Is this your brand?

The exact fixes for Planet Argon

Which AI engines already crawl you

Weekly ChatGPT & Claude citation tracking

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Picked for Planet Argon: Tech & Electronics

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Source & Attribution

Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology

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

Cite this score: Engagemii (2026). "AEO Score for Planet Argon." Retrieved from https://engagemii.com/aeo/brands/planetargon

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

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