AI Visibility Scorecard
accquire.net · Government & Public Sector
Borderline visible. AI bots can crawl ACCQUIREnet, 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 9 times
ChatGPT · ShapBot · Claude · Apple Intelligence
#16,677 of 124,536 in Government & Public Sector for AI visibility
<1
AI Naming Predictability
iRarely named · <1/100
Government & Public Sector average 14
Top 31% of Government & Public Sector
See what's behind this score →4
AEO Visibility
iBorderline · 4.2/10
Government & Public Sector average 4.1
See what's behind this score →-
Network Authority
iNot connected yet
Government & Public Sector average 0.0
0 relationships · Government & Public Sector average 2
See what's behind this score →0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
Government & Public Sector average 10
See what's behind this score →0
from our crawl and measurement
ACCQUIREnet, based in Durham, NC, describes itself simply: "What Is ACCQUIREnet? The Allied Cleft & Craniofacial Quality-Improvement and Research Network (ACCQUIREnet) is a collaborative network of multidisciplinary teams that are dedicated to." When AI engines look at it, they find little to work with. It scores 4.2 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 visited 3 times in our tracking, including ClaudeBot (Anthropic) and GPTBot (ChatGPT).
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
Strong
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
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
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 read your site and name it in answers. At 4.2/10, ACCQUIREnet is crawlable but under-signaled - fixable, and the signals above are where to start.
When Are Data Collected?
For the purpose of benchmarking and comparing outcomes, ACCQUIREnet encourages data acquisition at ages 3yo, 5yo, 8yo, 12yo, 15yo, and at the end of treatment. Other important time points are before and after important operative procedures. The CleftCap project template makes it clear which outcomes are measured at each time point.
Who Collects the Data?
Some outcomes are measured by clinicians; others are reported by guardians (e.g., ICS) and patients (e.g., CLEFT-Q™ and FACE-Q™). Each site has formalized a workflow designating how the measurements are recorded in REDCap®. For clinical outcome measures, some sites have clinicians doing so themselves, some sites have the team coordinator entering the data, and some sites utilize research coordinators.
How Are the Data Stored, Transferred, and Utilized?
The diagram below depicts how each participating team collects and stores data, how those data are transferred to the statistical support center, and how the data are analyzed. Click the image for a larger version.
Who Controls the Data?
Since ACCQUIREnet is a distributed data network, each participating team remains in full control of its own data. There is no lock-in: every team director has the ability to export and download that site’s data at any point in time. Each participating site is allowed to analyze its own data in any way it deems fit (in accordance with the IRB protocol).
What About Authorship?
The core tenet of ACCQUIREnet is collaboration, not competition. Presently, we propose that any participant can propose and lead a scientific inquiry and may be first or senior author on any academic publication that results from that work. The core research team and statistical support team at Duke will also be named authors on the papers, as will any other collaborators who meet the ICMJE criteria for authorship.
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The exact fixes for ACCQUIREnet
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When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.
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Scored by Engagemii on September 29, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/accquire-net
Cite this score: Engagemii (2026). "AEO Score for ACCQUIREnet." Retrieved from https://engagemii.com/aeo/brands/accquire-net
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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