AI Visibility Scorecard
cognitops.com · Technology
Borderline visible. AI bots can crawl CognitOps, 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 7 times
Claude · Meta AI · Apple Intelligence
#835,001 of 2,706,523 in Technology for AI visibility
5
AI Naming Predictability
iRarely named · 5/100
More likely to be named than 89% of Technology companies
3
AEO Visibility
iNear-invisible · 3.1/10
55
Muse Index Score
iAI agent readiness
Agent-ready · 55/100
2
AI Adoption
iBasic · 2/100
from our crawl and measurement
CognitOps, based in Austin, TX, describes itself simply: "CognitOps injects intelligence into your existing WMS to boost warehouse optimization, improve labor planning, and cut costs by up to 34%." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 3.1 out of 10.
Our crawl found structured data on the page (WebPage, ImageObject, BreadcrumbList), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 3 times in our tracking, including ClaudeBot (Anthropic) and Meta AI.
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
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
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
Strong
Inbound links from other sites.
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 3.1/10, CognitOps is crawlable but under-signaled - fixable, and the signals above are where to start.
What's the difference between labor planning and workforce management?
Labor planning is about matching the work to the workers — figuring out how many people you need, when you need them, and what they should be doing based on the volume coming in. Workforce management is broader and usually includes scheduling, time and attendance, and HR functions. What matters is whether you have the ability to look at tomorrow's inbound receipts and today's staffing and know — before the shift starts — whether you're over or under.
What's the difference between an LMS and a WMS? Do I need both?
Your WMS tracks inventory — where it is, how it moves, what orders are open. Your LMS tracks people — how they're spending their time, whether they're hitting standards, and where your labor dollars are actually going. Most WMS platforms have a basic labor module limited to logging task completions. A dedicated LMS measures labor efficiency against engineered standards, surfaces variance by employee, supervisor, and shift, and connects labor cost to actual output. Above 50 employees, the labor variance you're ignoring is probably costing more than the software would.
How do you handle labor planning when volume fluctuates 30–40% week to week?
Build your labor plan from volume signals, not from last week's headcount. Connect your order management or forecasting system to your staffing model so that when volume goes up 35%, your labor requirement adjusts automatically. Build in a flex labor buffer — typically 15–25% of headcount as temp or on-call. Knowing on Thursday that Monday is going to be heavy gives you the weekend to staff it correctly.
Is 50% annual turnover normal for a distribution center?
40–60% annual turnover is common in warehouse operations. A single associate turnover event typically costs $3,000–$7,000 depending on role complexity. For a 200-person DC with 50% turnover, that's $300,000–$700,000 per year in invisible labor cost. The DCs that push turnover below 30% usually have visibility into performance at the individual level and consistency in how supervisors treat the team.
How much should warehouse labor cost as a percentage of total operating costs?
Labor typically represents 50–70% of total warehouse operating costs. For a mid-size pick/pack operation, a realistic benchmark is $18–$28 per order shipped. High-performing DCs run 10–15% lower labor cost per unit than average, and the difference usually comes from better labor utilization — fewer idle hours — rather than paying people less.
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The exact fixes for CognitOps
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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.
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Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/cognitops
Cite this score: Engagemii (2026). "AEO Score for CognitOps." Retrieved from https://engagemii.com/aeo/brands/cognitops
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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