AI Visibility Scorecard
cosential.com · Technology
Somewhat visible. AI bots can read Unanet, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 3 times
Meta AI · Claude
#63,239 of 2,705,907 in Technology for AI visibility
6
AEO Visibility
iVisible · 6.4/10
20
Muse Index Score
iAI agent readiness
Basic · 20/100
8
AI Adoption
iBasic · 8/100
from our crawl and measurement
Unanet is a business whose own site puts it this way: "Cosential is now Unanet CRM by Cosential, allowing your project-based business to manage the entire customer lifecycle, from pursuit through final invoicing." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.4 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (FAQPage), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Fair
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
Good
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
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
Fair
Established authority for your domain.
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 6.4/10, Unanet has a working base to build on - fixable, and the signals above are where to start.
What makes a CRM built for AEC different from a general-purpose CRM?
An AEC CRM is designed for how architecture, engineering, and construction firms build relationships and win project-based work. It helps firms manage opportunities from early identification through pursuit, proposal, and award while connecting client, contact, project, employee, and past-performance data. Unlike a general-purpose CRM, an AEC CRM supports industry-specific workflows without extensive customization.
Why do CRM implementations fail at AEC firms?
CRM implementations often fail in AEC because of low user adoption, inconsistent processes, and incomplete data. Successful firms treat CRM implementation as a change-management initiative, not just a software rollout. They define clear expectations, standardize workflows, limit unnecessary data entry, and make the CRM easy to access through tools such as Outlook, mobile devices, and web applications.
How does a CRM help AEC firms create proposals faster?
An AEC CRM centralizes project experience, employee qualifications, resumes, and pursuit information so proposal teams can find and reuse approved content faster. Instead of searching through spreadsheets, shared drives, and past proposals, teams can access relevant information in one place and move it into proposal templates.
How does a CRM preserve institutional knowledge when senior staff retire?
A CRM captures client relationships, contact history, project experience, and business-development activity that might otherwise remain in personal inboxes, spreadsheets, or employees’ memories. When senior leaders retire or employees leave, the firm retains a searchable record of who knows each client, what work has been completed, and how relationships have developed over time.
How does a CRM improve pipeline visibility and revenue forecasting for AEC firms?
An AEC CRM provides a centralized view of early opportunities, active pursuits, proposals, and expected awards across the firm. Leadership can use pipeline dashboards, opportunity stages, probabilities, and projected revenue to evaluate future workload and make more informed hiring, investment, and growth decisions. A shared CRM also helps business development, operations, and finance align around the same forecast.
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The exact fixes for Unanet
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Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/cosential
Cite this score: Engagemii (2026). "AEO Score for Unanet." Retrieved from https://engagemii.com/aeo/brands/cosential
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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