Independent Study Finds AudioEye's Detection Exceeds Industry by 89-253%

AudioEye (Nasdaq: AEYE) highlighted an independent Adience study (Feb 12, 2026) showing AudioEye's automated detection finds 89–253% more WCAG issues than competitors, with up to 509% more at Level A and 380% more at Level AA.

Rhea-AI Summary

AudioEye (Nasdaq: AEYE) highlighted an independent Adience study (Feb 12, 2026) showing AudioEye's automated detection finds 89–253% more WCAG issues than competitors, with up to 509% more at Level A and 380% more at Level AA. The company says it pairs expanded automation with human testing, custom fixes, continuous monitoring, and support for WCAG 2.2 to surface more issues upfront.

Positive

• 509% more valid issues detected at WCAG Level A
• 380% more valid issues detected at WCAG Level AA
• Consistently detected issues at A, AA, and AAA on all sites
• Expanded automated coverage including WCAG 2.2

Negative

• Several competing tools returned no WCAG AA findings on multiple sites
• Study covers five automated platforms, not entire market

Argus Feb 12 session

-5.14% close to close Open Argus

Details

News Market Reaction – AEYE

In the Feb 12 session, AEYE declined 5.14%, reflecting a notable negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved -5.1% in the session following this news. A negative reaction despite favorable comp...

Analysis

The stock moved -5.1% in the session following this news. A negative reaction despite favorable comparative data fits prior instances where strong fundamentals or recognition were followed by weak trading, such as record Q3 2025 results that coincided with a -6.62% move. The stock already traded well below its 200-day MA of $12.06 and near a 52-week low of $6.895, so additional downside would leave it more compressed against its 12‑month range, even as operational metrics and independent testing highlighted competitive strengths.

Key Figures

Detection outperformance range: 89–253% more WCAG issues Digital properties growth: 40–60% increase Tools evaluated: 5 automated platforms +4 more

Detection outperformance range

89–253% more WCAG issues

AudioEye automated detection vs. competitive products

Digital properties growth

40–60% increase

Year-over-year increase in websites and apps cited by CEO

Tools evaluated

5 automated platforms

Number of leading accessibility tools tested by Adience

Level A vs. lowest tool

509% more issues detected

AudioEye vs. lowest-performing tool at WCAG Level A

Level A vs. next-closest

68% more issues detected

AudioEye vs. next-closest tool at WCAG Level A

Level AA vs. lowest tool

380% more issues detected

AudioEye vs. lowest tool returning results at WCAG Level AA

Level AA vs. next-closest

41% more issues detected

AudioEye vs. next-closest tool at WCAG Level AA

Historical Context

5 past events · Latest: Jan 13

5 events

1. Jan 13

   Prelim Q4 results

   24h Move

   +5.7%

   Preliminary Q4 2025 record revenue and stronger ARR outlook.

2. Nov 19

   Industry award win

   24h Move

   -1.4%

   SaaS award recognizing leadership in compliance and accessibility innovation.

3. Nov 04

   Q3 2025 earnings

   24h Move

   -6.6%

   Record Q3 2025 results with double-digit revenue growth and guidance raise.

4. Oct 21

   Earnings call set

   24h Move

   +0.5%

   Scheduling Q3 2025 earnings call and outlining access details for investors.

5. Sep 23

   European partnership

   24h Move

   -1.6%

   Partnership with Creode to expand accessibility compliance in Europe.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

wcag, web content accessibility guidelines, llms

3 terms

wcag regulatory

"automated WCAG detection across accessibility toolsTUCSON, Ariz., Feb. 12, 2026 --"

WCAG (Web Content Accessibility Guidelines) are internationally recognized standards for making websites, documents, and digital tools usable by people with disabilities, including those who rely on screen readers, captions, clear structure, or larger text. For investors, WCAG compliance reduces legal and reputational risk, broadens potential customer and shareholder access, and signals that a company is managing regulatory and customer-accessibility obligations—much like adding ramps and clear signage to a physical store.

web content accessibility guidelines regulatory

"more Web Content Accessibility Guidelines (WCAG) issues than competitive products."

Web Content Accessibility Guidelines are a set of widely accepted recommendations for making websites and digital content usable by people with disabilities, such as those who are blind, deaf, or have motor or cognitive impairments. For investors, following these guidelines reduces legal and reputational risk, widens customer and user reach, and often improves search visibility and usability—think of it like adding ramps and clear signs to a physical store so more customers can enter and shop.

llms technical

"However, LLMs use automated detection from those included in this study,"

Large language models are advanced computer programs that read and generate human-like text by learning patterns from huge amounts of written material; think of them as digital employees that can draft reports, answer questions, summarize documents, or generate code. They matter to investors because they can change a company’s costs, speed of product development, customer service, and competitive edge — and they also create new risks and regulatory questions that can affect profits and valuation.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Adience reveals wide differences in automated WCAG detection across accessibility tools

TUCSON, Ariz., Feb. 12, 2026 /PRNewswire/ -- AudioEye, Inc. (Nasdaq: AEYE) ("AudioEye" or the "Company"), an industry-leading digital accessibility company, today announced the results of a study conducted by Adience, a B2B market research agency, showing that AudioEye's automated accessibility technology detects 89–253% more Web Content Accessibility Guidelines (WCAG) issues than competitive products.

"The number of websites and apps has increased by 40-60% year over year due to the explosion in coding tools," said David Moradi, CEO of AudioEye. "However, LLMs use automated detection from those included in this study, which shows substantially lower detection rates than AudioEye. As a result, digital accessibility on the internet is not improving and may even be getting worse, which is driving a record number of digital accessibility lawsuits."

"We have years of data across hundreds of thousands of sites and billions of unique visits, which comes from our automation and custom fixes. We are leveraging this data set to scale our detection capabilities, which uniquely positions us to utilize cutting-edge agentic tooling to provide context to models that no other company has access to," Moradi added.

Independent Testing Reveals Wide Gaps in Automated Detection
Adience evaluated five leading automated accessibility tools by scanning, measuring, and validating accessibility issues mapped to WCAG Levels A, AA, and AAA.

Key findings include:

• At WCAG AA, the level most commonly referenced in regulations, several tools returned no findings across multiple sites, even though AudioEye detected valid issues on the same pages.
• AudioEye was the only tool to consistently identify issues at all WCAG levels (A, AA, and AAA) across every website included in the analysis.
• At WCAG Level A, AudioEye detected 509% more valid accessibility issues than the lowest-performing tool and 68% more than the next-closest tool.
• At WCAG Level AA, AudioEye detected 380% more valid accessibility issues than the lowest-performing tool that returned any results and 41% more than the next-closest tool.

"Each tool was tested under identical conditions," said Chris Wells, Managing Director at Adience. "The results show wide variation in what automated accessibility tools detect, even when analyzing the same pages."

Automation is the Foundation for Industry-Leading Protection
Automated testing enables organizations to identify accessibility issues at scale, but its value depends on how effectively it can detect them. Broader automated coverage gives teams clearer visibility into compliance gaps early, while more complex, contextual barriers still require human evaluation.

AudioEye combines industry-leading automated WCAG detection with expert human testing, custom fixes, and continuous monitoring to deliver comprehensive accessibility protection. By expanding automated coverage, including support for WCAG 2.2, AudioEye helps surface more issues upfront and allows accessibility experts to focus on the highest-impact barriers automation alone cannot resolve.

To learn more and download the report, visit https://www.audioeye.com/guides/3rd-party-research-report/.

Methodology 
The research evaluated how five widely used accessibility platforms detect accessibility issues through automation. Using a controlled, repeatable methodology, the study compared automated detection across the same webpages and WCAG conformance levels, the internationally recognized standards for digital accessibility compliance. The findings show substantial variation across tools in both the number of issues identified and the WCAG success criteria covered.

About AudioEye
AudioEye exists to ensure the digital future we build is accessible. The gold standard for digital accessibility, AudioEye's comprehensive solution combines industry-leading AI automation technology with expert fixes informed by the disability community. This powerful combination delivers industry-leading protection, ensuring businesses of all sizes - including over 131,000 customers such as Samsung, Calvin Klein, and Samsonite - meet and exceed compliance standards. With 25 US patents, AudioEye's solution includes 24/7 accessibility monitoring, automated WCAG issue testing and fixes, expert testing, developer tools, and legal protection, empowering organizations to confidently create accessible digital experiences for all.

Media Contact
Sierra Thomas
sierra.thomas@audioeye.com

Investor Contact
Tom Colton
Gateway Group, Inc.
AEYE@gateway-grp.com
949-574-3860

 

View original content to download multimedia:https://www.prnewswire.com/news-releases/independent-study-finds-audioeyes-detection-exceeds-industry-by-89253-302686130.html

SOURCE AudioEye, Inc.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did the Adience study say about AudioEye's WCAG detection (AEYE) on Feb 12, 2026?

AudioEye detected substantially more automated WCAG issues than peers, showing 89–253% higher detection. According to AudioEye, the Adience study found larger gaps across WCAG A, AA, and AAA levels, with the biggest gains at Level A and AA.

How much more did AudioEye detect at WCAG Level A compared to competitors (AEYE)?

AudioEye detected 509% more valid issues than the lowest-performing tool at WCAG Level A. According to AudioEye, this was the largest single-level gap reported in the Adience comparison of five automated platforms.

What were AudioEye's results at WCAG Level AA in the Adience report (AEYE)?

AudioEye found 380% more valid issues than the lowest-performing tool that returned results at WCAG AA. According to AudioEye, it also detected 41% more issues than the next-closest tool at Level AA.

Does AudioEye detect issues across all WCAG levels (A, AA, AAA) for investors evaluating AEYE?

Yes; AudioEye was the only tool that consistently identified issues at A, AA, and AAA across every tested site. According to AudioEye, this consistency was a distinguishing result in the Adience analysis.

How does AudioEye combine automation and human testing to improve accessibility (AEYE)?

AudioEye pairs broader automated detection with expert human testing, custom fixes, and continuous monitoring. According to AudioEye, this approach aims to surface more issues upfront and reserve humans for complex, contextual barriers automation misses.

What methodology did the Adience study use to compare automated accessibility tools (AEYE)?

The study used a controlled, repeatable methodology scanning identical webpages and mapping results to WCAG A, AA, AAA conformance levels. According to AudioEye, Adience measured detection counts and WCAG success criteria coverage across five platforms.