You ran an accessibility scanner on your landing page, got a green checkmark, and still watched 40% of paid traffic bounce within eight seconds. The scanner checked contrast ratios and alt text. It never asked whether a first-time visitor could actually understand what your product does. That gap between technical compliance and cognitive comprehension is exactly where conversions leak, and it is the gap Page Person was built to close.

How Page Person Differs from Generic Accessibility Scanners
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TL;DR:
  • Generic accessibility scanners check WCAG technical rules (contrast, alt text, ARIA labels) but ignore whether visitors comprehend your page.
  • Page Person analyzes cognitive accessibility: reading complexity, information overload, unclear CTAs, and conversion barriers that confuse real people.
  • Passing a standard scan does not mean your site converts. Cognitive barriers cost you signups and sales every day.

What generic scanners actually check

Standard tools like axe, WAVE, and Lighthouse Accessibility run a rule set derived from WCAG success criteria. They look at the DOM and flag issues a machine can detect: missing alt attributes, insufficient color contrast, broken ARIA roles, missing form labels, heading hierarchy violations. These checks matter. They catch real problems for screen reader users and people with visual impairments.

But here is what they do not touch:

  • Cognitive load of a page (too many choices, competing CTAs, dense paragraphs)
  • Reading level of your copy relative to your actual audience
  • Information architecture clarity for someone who has never seen your product
  • Anxiety triggers like hidden pricing, vague guarantees, or walls of text before a signup form
A page can score 100 on Lighthouse Accessibility and still confuse the majority of visitors who land on it from a paid ad.
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Visitors Who May Struggle With Your Website

That number is not hypothetical. Cognitive and situational barriers affect a wide slice of any audience: people with ADHD, dyslexia, low digital literacy, stress, multitasking, or simply visiting on a phone in bright sunlight.

Why this blind spot costs you money

person confused at computer
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You spend real money driving traffic. Google Ads, Meta campaigns, content marketing, SEO. Every visitor who arrives and cannot figure out what you offer within a few seconds is wasted spend. Heatmaps show where people click. Analytics show when they leave. Neither tells you why the message did not land.

Generic scanners were never designed to answer that question. They were built for compliance, not comprehension. The result: teams celebrate a clean accessibility audit while their conversion rate stays flat.

Cognitive Issues Caught by Standard Scanners
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Standard automated tools catch roughly 15% of the cognitive barriers that affect real visitor comprehension. The rest requires understanding language complexity, visual hierarchy, decision fatigue, and trust signals. That is a different category of analysis entirely.

Key takeaway: A clean accessibility scan means your site is technically navigable. It does not mean your site is understandable, trustworthy, or persuasive to the people you are paying to attract.

What Page Person analyzes instead

person using website on laptop
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Page Person is a Chrome extension that looks at your page through the lens of a real visitor's cognitive experience. Instead of checking DOM attributes against a spec, it evaluates:

  1. Reading complexity - Is your copy written at a level your target audience can parse quickly? A SaaS landing page written at a graduate reading level loses visitors who scan at a 7th-grade level.
  2. Information density - How many distinct concepts does a visitor encounter before reaching the first CTA? Overloaded pages create decision paralysis.
  3. CTA clarity - Can a new visitor tell what happens when they click the primary button? "Get Started" means nothing without context.
  4. Trust and anxiety barriers - Missing pricing, vague value propositions, and no social proof create friction that no contrast ratio fix will solve.
  5. Cognitive flow - Does the page guide attention in a logical sequence, or does it scatter focus across competing elements?
"Most browsers allow users to change text size through:."
>, Easy Checks

That quote from the W3C's own preliminary evaluation guide hints at the gap. Standard checks focus on whether users can adjust the interface. They do not ask whether the content itself makes sense once adjusted. Page Person fills that layer.

The comparison below shows the difference in scope at a glance:

Generic Accessibility ScannerPage Person
Checks color contrast ratiosAnalyzes reading complexity
Flags missing alt textEvaluates information density
Validates ARIA rolesIdentifies unclear CTAs
Tests keyboard navigationDetects anxiety and trust barriers
Reports heading hierarchyMaps cognitive flow and attention sequence
Binary pass/fail per ruleContextual recommendations tied to conversion

How to use both together

ux designer working
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This is not an either/or situation. Generic scanners and Page Person solve different problems. The smart workflow uses both in sequence.

How Page Person Differs from Generic Accessibility Scanners process
Figure 1: How Page Person Differs from Generic Accessibility Scanners at a glance.

The process follows four steps:

  1. Run standard scan - Use axe or Lighthouse to catch technical WCAG violations. Fix missing labels, broken ARIA, contrast failures.
  2. Run Page Person - Analyze the same page for cognitive barriers. Identify reading level issues, overloaded sections, and unclear calls to action.
  3. Prioritize by impact - Technical fixes ensure access. Cognitive fixes drive conversion. Rank by revenue impact.
  4. Test and measure - Deploy changes, track conversion rate shifts, re-scan to confirm improvements.
Step 1 takes care of the baseline. Steps 2 through 4 are where you find the conversion gains that competitors miss because they stopped at the compliance checkbox.
Pro tip: Run Page Person on your highest-traffic landing page first. That single page likely accounts for the majority of your paid traffic spend, so cognitive improvements there deliver the fastest ROI.

Here is an example dashboard showing what a typical analysis reveals for a SaaS landing page:

Page Person Analysis: Example SaaS Landing Page

Reading LevelGrade 11 (target: 7-8)
Information DensityHigh, 14 concepts before CTA
CTA ClarityAmbiguous, "Get Started"
Trust SignalsMissing, no pricing, no proof
Cognitive FlowLogical sequence detected
WCAG Technical (via Lighthouse)Score: 98 / 100
A Lighthouse score of 98 still leaves four cognitive barriers unaddressed.

That example tells the whole story. A near-perfect technical score coexists with serious comprehension problems. The Lighthouse audit cannot see them. Page Person can.

Common mistakes to avoid

Teams make predictable errors when they rely on a single type of scanner:

  • Treating compliance as conversion optimization. WCAG compliance is a legal and ethical baseline. It is not a growth strategy. Passing an audit does not mean your messaging works.
  • Ignoring cognitive diversity. Roughly 15-20% of the population has a learning difference like dyslexia or ADHD. Another large segment reads below the average level. Your "clear" copy may not be clear to them.
  • Fixing what is easy, not what matters. Adding alt text to decorative images is quick. Rewriting a confusing value proposition takes effort. The second fix moves revenue.
  • Scanning once and forgetting. Pages change. New copy, new features, new layouts. Both technical and cognitive scans need to run after every significant update.
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Population With a Learning Difference
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Scanner + Cognitive Accessibility Workflow

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FAQ

Frequently Asked Questions

This guide is for founders, marketers, and product owners who drive paid traffic to their websites and want to understand why visitors bounce despite clean accessibility scores. If you care about conversion rates and not just compliance checkboxes, this applies directly to your workflow.
Running a generic accessibility scan takes minutes. Running Page Person on a single page takes about the same. The real time investment is in fixing what you find. Budget 2-4 hours for your first landing page: 30 minutes for scanning, the rest for rewriting copy, simplifying layout, and adding trust signals. Subsequent pages go faster once you see the patterns.
Start with your highest-traffic landing page. Run both a standard accessibility scan (Lighthouse or axe) and Page Person. Fix the technical violations first since those are usually quick. Then tackle the cognitive barriers Page Person surfaces, starting with reading level and CTA clarity. Those two changes alone often produce measurable conversion improvements within a week.
No. Page Person covers a different layer of the accessibility stack. You still need standard scanners for technical WCAG compliance. Think of it as two lenses on the same page: one checks whether the page is navigable, the other checks whether it is understandable.
Yes. Simplifying copy from a grade-11 reading level to grade-7, reducing information density before the CTA, and adding clear trust signals are changes that directly reduce bounce rates and increase signups. These are not theoretical UX improvements. They show up in your analytics within days of deployment.

Additional Resources

What cognitive barrier on your landing page do you suspect is costing you the most conversions right now?