AI Visibility Scorecard
airopsgroup.com · Technology
Borderline visible. AI bots can crawl AirOps, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 4 times
Claude · Meta AI
#1,075,959 of 2,707,789 in Technology for AI visibility
5
AEO Visibility
iBorderline · 4.9/10
80
Muse Index Score
iAI agent readiness
Transactable · 80/100
30
AI Adoption
iBasic · 30/100
from our crawl and measurement
AirOps describes itself simply: "The AI search and AEO platform that ships the content that gets you cited and tracks your LLM visibility across ChatGPT, Perplexity, Gemini, and Google." When AI engines look at it, they find little to work with. It scores 4.9 out of 10.
Our crawl found structured data on the page (SoftwareApplication, FAQPage, Organization) and a readable heading structure. It is missing an llms.txt file and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Good
Experience, Expertise, Authority, Trust markers.
Technical AEO
Weak
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
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 4.9/10, AirOps is crawlable but under-signaled - fixable, and the signals above are where to start.
Every vendor is pitching agents. How is AirOps different?
Building an agent isn't an accomplishment. The marketers who win care about the results their agents drive, not the fact that they exist. Our differentiation lives in the harness around the model: specialized tools built for the jobs Content Engineers do every day, deep context from your Brand Kit and live AI search data, and continuous learning loops that make every run better than the last. Humans and agents collaborate end-to-end, and impact is measured on every action. If the agent doesn't drive outcomes, it's noise.
How is Quill different than Copilot?
Quill is Copilot, upgraded. Quill keeps the collaborative dynamic of a co-pilot but takes more initiative. It watches your signal, drafts the brief, recommends which Campaigns to run, and runs them. You go from suggesting work to approving it.
How is a Playbook different than a Workflow?
A Workflow is a chain of steps that runs the same way every time. A Playbook is plain-English strategy with tool calls, approval gates, and output requirements written inline. Workflows do exactly what you wired. Playbooks allow the agent (Quill) to reason inside guardrails you set, so the same Playbook handles every variation of the job without rewiring.
Where can I run AirOps from?
Two surfaces. The AirOps platform (Studio, Inbox, Insights) and the AirOps MCP, which makes AirOps accessible inside Claude, Cursor, or any MCP client. One brain, two ways in.
How quickly will we see outcomes?
Median time to first shipped outcome is 14 days. We model the specific outcome on your domain before the contract.
Is this your brand?
The exact fixes for AirOps
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for AirOps.
Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/airopsgroup
Cite this score: Engagemii (2026). "AEO Score for AirOps." Retrieved from https://engagemii.com/aeo/brands/airopsgroup
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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