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Landing Page Audit

Any landing page, scored against the playbook and against the biggest brands in its niche.

Less in. More out.

A page goes in. Here's what that adds up to.

91big-brand landing pages scored the same way.
26niches covered, and growing.
6business types, each with its own rules.
2reports: one for me, one the client can follow.

How it works

A page goes in. It gets screenshotted on desktop and phone, speed-tested, and run through every rule in my landing page playbook for that type of business. Cheap checks run first. Anything unsure goes to a model that can actually see the page.

Then it's compared with the biggest brands in the same niche, scored the same way, using the pages their ads really send traffic to. Out come two reports: mine, with the strategy, and the client's, with exact fixes for their page builder.

before → now
Before
  • Opinions about a page
  • One checklist for every business
  • Comparing to big brands' homepages
  • Fix lists the client couldn't follow
Now
  • Every point traced to a written rule
  • Rules per business type
  • Compared to their real ad pages
  • Step-by-step fixes for their builder

The map

Nine steps from a link to two reports. I start it and I send it.

One audit, start to finish

People Sorter Rulebook AI team
01

Who's on it

Every audit raises the bar

Every audit adds to the library of big brands, so the next one has more to compare against.

It also runs on every ad batch now: before editing starts, each ad's hook gets checked against the page it sends people to.

the library only grows
01Audit a page

A client page gets scored.

02New niche? Scout it

Missing big brands get found and scored.

04Next audit is sharper

More to compare, better benchmarks.

03Library grows

91 pages across 26 niches, and counting.

better
every
lap

Rules it follows

  • Every check comes from the written playbook.
  • Judge a page against its own type of business.
  • Compare to a brand's real ad page, not its homepage.
  • Unsure checks go to a model that can see the page.
  • Never claim a score the data doesn't support.
  • The client copy says exactly how to fix it in their builder.