Claude for SEO reporting

Claude for SEO reporting

Team Pick
SEO & AEO
TripleDart
It took six hours a report and now takes about 30 minutes of drafting plus review, and the four prompts that got it there are published.
Source
TripleDart
Tools
Claude, Search Console, GA4
Runs
Monthly
Cost
Free guide, API costs
Last updated
August 7, 2026

What it is.

The pipeline pulls 90 days of Search Console data per client, GA4 landing page data, and AI citation data. A project instruction file goes out with every client so the model knows the account before it reads a number.

Four published prompts do the drafting: anomaly detection, narrative generation, citation gap analysis, and an executive summary written for someone with five minutes. Reports went from six hours to about 30 minutes of drafting.

TripleDart's own guide about our own reporting process. The prompt structure works for anyone with the same three data sources.

What you get.

  • The data pipeline behind the report, named source by source.
  • A project instruction file pattern, so client context is loaded before analysis.
  • Four published prompts covering anomalies, narrative, citation gaps, and the summary.
  • A report structure with an executive summary, three wins, and three misses.
  • A time figure to plan against: about 30 minutes of drafting, then human review.
HOW TO USE IT

How to set it up.

1

Set up the three exports first, since the prompts assume Search Console, GA4, and citation data are all present.

2

Write the per-client instruction file before prompting, because without that context the output comes back generic.

3

Run anomaly detection before narrative, so the story is built on what moved.

4

Hold the wins and misses count at three each, since that forces a judgment about what matters.

5

Write the executive summary for a reader with five minutes, and put it first.

6

Budget account lead time for tightening language and adding client-specific context, which stays human.

Use cases

Cut the reporting day down

Run the pipeline and spend your time on the interpretation.

Keep client context in one file

Use the instruction file pattern so the model knows the account.

Name every data source

Follow the named pipeline so the numbers can be traced back.

Best for

Agencies reporting monthly

Reporting is the lowest-value hour in an agency and the easiest to compress.

In-house teams reporting upward

The executive summary structure is built for a reader who will not scroll.

Adding AI citations to a report

The citation gap prompt covers the section most SEO reports still lack.

Open the original.

Hosted on TripleDart, free to open.
Open the Tool

Questions about Claude for SEO reporting

What do I write before prompting?
Is it hands-off?
Is it worth it for one property?

Questions about SEO & AEO

What makes an SEO report worth reading?
Can a model write the narrative?
Strengths
  • The prompts are published in full, so the output quality does not depend on prompting skill.
  • It uses 90 days of Search Console data per report, which is enough to separate trend from noise.
  • The report structure caps wins and misses at three each, which forces prioritization.
Limitations
  • TripleDart's own guide describing our own process, and TripleDart sells reporting as part of a retainer.
  • The account lead still spends time per report on language and context, so this is assisted drafting.
  • It assumes a client-per-instruction-file setup, which is overhead if you have one property.
  • A model writing a narrative will write a confident one, so the review step is not optional.
Skip this if
  • Skip it if your monthly reporting already runs itself and you only review it.
Ideal for
  • Agency account leads
  • In-house SEO leads
  • Stage: Any stage

Want this running without building it yourself?

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