AI Visibility Scorecard
wicketsoft.com · Technology
Somewhat visible. AI bots can read Wicket, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 5 times
Claude · Meta AI
#34,149 of 2,707,519 in Technology for AI visibility
7
AEO Visibility
iVisible · 6.6/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
2
AI Adoption
iBasic · 2/100
from our crawl and measurement
Wicket is a business whose own site puts it this way: "Our facial authentication platform uses patented technology to enable frictionless touchpoints that delight users and increase security." Its AI visibility score is 6.6 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (WebPage, ImageObject, BreadcrumbList), an llms.txt file for AI models and a readable heading structure. It is missing a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Good
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 6.6/10, Wicket has a working base to build on - fixable, and the signals above are where to start.
What does Wicket do to protect user privacy?
Wicket does several things to ensure user privacy. To name a few, Wicket: Designed use of the program to be opt-in only Creates embeddings (a series of numbers) to protect the user identities and ensures face photos aren't stored on edge devices Does not own customer data; customers own their user data Does not sell or monetize PII data to third parties Strong infosec program with regular 3rd-party evaluation To see our entire privacy framework, visit the Privacy & Security page.
What does opt-in only mean?
Opt-in only means just that. To use Wicket facial authentication, all users must explicitly opt in prior to uploading an image into our system. Wicket does not take pictures of users for enrollment without user knowledge; users take and submit their own selfie and provide Wicket with permission to use it to give them access to facial authentication-enabled features, such as facial ticketing, facial payments, and facial access.
Is facial authentication data secure?
All PII is directly provided by the Customer or User. PII is then translated from an image to a mathematical representation of the face for identification. When we receive user PII, we use encryption (at rest and in transit) to ensure the information is safe, and any images and data captured at the actual event are automatically deleted from all systems within a timeframe determined by the organizer.
Who owns the facial data?
Wicket acts as the Data Processor with the Customer as the Data Controller. Customers exclusively own the database that holds the information, and all Personally Identifiable Information (PII) is stored in the cloud, with a strong security framework that prevents 3rd-party access or sharing.
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The exact fixes for Wicket
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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 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/wicketsoft
Cite this score: Engagemii (2026). "AEO Score for Wicket." Retrieved from https://engagemii.com/aeo/brands/wicketsoft
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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