AI Accessibility Content Audit

Test a website against accessibility standards and hand back the failures with the fixes written out.

Monthly income

$100–$7,000+

Startup cost

$0–$200

Time required

4–12 hrs/week

Time to first $

2–6 weeks

Difficulty

6.5 / 10

AI leverage

High

AI tools you'd use

ChatGPT
Claude
Lighthouse

Why it works

Accessibility failures carry legal exposure that owners cannot assess themselves, and automated scanners catch perhaps a third of the issues - the judgement about whether alt text is meaningful stays human.

How it makes money

One-off project

How to start

Learn WCAG 2.2 AA - the level most procurement contracts and public-sector tenders actually name.
Pick a sector whose sites you can read fast: independent retail, clinics, local government suppliers.
Run Lighthouse and axe over ten sites in that sector and record what fails.
Separate the automated failures from the ones only a human finds - alt text that is present but useless, focus order, colour meaning.
Build a report template that gives each issue a WCAG reference, a severity and the code fix.
Use Claude to draft the plain-English explanation of each issue for a non-technical owner.
Check every AI-written finding against the standard yourself; a wrong WCAG citation ends the engagement.
Audit two sites free and send the reports unprompted to the owners.
Price the audit as a fixed fee and the remediation separately - they are different skills and different budgets.
Offer a re-test after fixes, which is where the repeat revenue is.
Add a quarterly monitoring retainer for sites that publish new content weekly.

AI Accessibility Content Audit

AI tools you'd use

Why it works

How it makes money

How to start

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