Claude SEO audit: platform-by-category process

Claude SEO audit: platform-by-category process

Team Pick
SEO & AEO
TripleDart
Blended AI visibility hides the gaps, so this builds a platform-by-category matrix first, then scores content against three named signals.
Source
TripleDart
Tools
Search Console, AI platforms, schema validators
Runs
Quarterly
Cost
Free guide
Last updated
August 7, 2026

What it is.

Manoj Palanikumar built this around one finding: blended AI visibility numbers hide 3x-10x gaps between platforms. Step one is a matrix of citation rate by platform and by query category, carrying a time estimate of 4-6 hours and a named owner.

Step two scores content against three signals, so answer-first formatting where the core claim lands in the first 100 words, named authorship, and data a model can lift. Step three is the technical pass over schema and platform coverage.

TripleDart's own guide, and TripleDart sells the audit as a service. Every scoring criterion is published, so you can run it yourself.

What you get.

  • A platform-by-category visibility matrix as the first output.
  • A content scorecard against three named signals, with the pass and fail pattern written out for each.
  • A schema audit checklist with the common failures listed.
  • Time estimates and a team assignment per step, starting at 4-6 hours for the baseline.
  • A worked client example showing a 10x spread between the best and worst platform.
HOW TO USE IT

How to set it up.

1

Pick your query categories before you query anything, because the matrix only helps if the categories match how buyers ask.

2

Run the same query set through each AI platform and record citations per platform per category.

3

Read the spread, since a healthy aggregate can hide a platform where you never appear at all.

4

Score each key page on answer-first formatting: does the core claim sit in the first 100 words with no preamble.

5

Check named authorship and whether the page carries data a model can quote.

6

Audit schema last, and validate every type the page claims.

Use cases

See the gaps a blended score hides

Build the platform-by-category matrix first and read where you are missing.

Score the content itself

Run the scorecard against the named signals for each page you care about.

Choose where to spend the quarter

Use the matrix to pick the category with the widest gap.

Best for

A first AI visibility audit

You have a blended number from a tool and no idea which platform or query type is weak.

Reporting to a skeptical exec

A matrix with a 10x spread across platforms argues better than a single score does.

Auditing a competitor

All three steps run against somebody else's pages with no access to their analytics.

Open the original.

Hosted on TripleDart, free to open.
Open the Tool

Questions about Claude SEO audit: platform-by-category process

How long does this take to run?
How often should I repeat it?
Is the 10x spread something I can plan against?

Questions about SEO & AEO

Why audit AI platforms separately?
What do you record in an AI citation audit?
Strengths
  • It refuses a single blended score and builds the platform-by-category matrix instead.
  • Time estimates and owners are attached per step, starting at 4-6 hours.
  • The content scoring lists the pass pattern and the fail pattern, so two people score a page the same way.
Limitations
  • TripleDart's own guide, and TripleDart sells this audit.
  • Steps one and two are most of two working days of analyst time between them, so scope the query set first.
  • The 10x spread comes from one client account with no method published, so read it as an example.
Skip this if
  • Skip it if you already audit visibility per platform instead of one blended number.
Ideal for
  • SEO leads
  • AI visibility owners
  • Stage: Series A onward

Want this running without building it yourself?

TripleDart has scaled 300+ tech companies with expert operators and AI workflows behind every play.