One Audit Run, One Score, Two Reports

A custom SEO + GEO audit tool that replaces crawler exports and spreadsheets

Audits lived in crawler exports, schema validators and analyst notes. We built a tool that checks four layers in one pass and outputs scored JSON and HTML reports.

Marketing technology · Internal tool

One Audit Run, One Score, Two Reports
Type
Internal audit product
Coverage
Technical SEO, on-page SEO, schema, AI readiness
Outputs
Scored JSON and HTML reports
Users
Growth teams, SEO leads, agencies
Best fit
Fast first-pass audits and repeat checks

SEO audit toolGEOTechnical SEOSchema markupReporting

What the team needed

A typical SEO audit is a pile of crawler exports, schema checks and analyst notes. Specialists can read it; decision-makers and clients can't, and no two audits compare. No crawler answered the full question: is the site sound, clear, well marked up and easy for AI to cite? We built one tool, one run, one score. Checks across four buckets feed an explicit score model and two outputs from the same data: JSON for engineers' dashboards and an HTML report anyone can read. It is now the entry point for delivery and pre-sales.

Constraints we had to design around

  • 01

    Four kinds of evidence, one output

    Technical SEO, on-page, schema and AI readiness produce very different findings. They had to merge into one report, not four exports.

  • 02

    A score people can defend

    A number is only useful if the team can see what moved it. The model had to be simple enough to trust and detailed enough to prioritise.

  • 03

    AI readiness has no standard checklist

    Classic tools say little about whether content is easy for AI systems to extract or cite. We needed practical heuristics, not buzzwords.

  • 04

    Mixed audiences

    Developers wanted structured data, decision-makers wanted prose. Both had to come from the same audit logic without duplicating it.

Architecture and what we shipped

  1. 01

    Audit framework before code

    Checks grouped into technical SEO, on-page SEO, schema markup and AI readiness, with the scoring rules written down before the reporting layer existed.

  2. 02

    Page-by-page signal collection

    The tool walks the target site and records where page structure, metadata, markup or extractability break down.

  3. 03

    Normalised score model

    Raw checks become a scored summary with category-level context, so the biggest gaps are visible at a glance.

  4. 04

    JSON and HTML from one dataset

    One audit run feeds both renderers. No second source of truth, no drift between what engineers and clients see.

  5. 05

    Built as a handoff layer

    When the score points to deeper authority or content problems, the result hands off cleanly to the multi-agent deep audit.

Shipped in three phases

Define what to score, build the checks, then make the reports good enough to send to a client.

  1. Phase 1

    Audit design

    Coverage definition, scoring rules and report structure

  2. Phase 2

    Check engine

    Technical SEO, on-page SEO, schema and AI-readiness checks

  3. Phase 3

    Reporting layer

    Scored JSON export, HTML report output and QA

What shipped

4 layers

Technical SEO, on-page SEO, schema markup and AI readiness in one audit flow

JSON + HTML

Machine-readable and stakeholder-readable reports from the same source of truth

1 run

One pass gives engineering, SEO and decision-makers the same prioritised picture

Questions about custom audit tools

What does the SEO + GEO audit tool check?

Technical SEO, on-page SEO, schema markup and AI-readiness signals. Findings are grouped into a scored output instead of a long list of isolated warnings.

Why export both JSON and HTML?

JSON feeds other systems: trackers, dashboards, CI checks. HTML is for the founder, strategist or client who needs a readable report without opening raw exports.

Why build a custom audit tool instead of buying a crawler licence?

Crawlers report symptoms in their own format. A custom tool encodes your scoring rules, your report layout and your handoff process, so every audit is comparable and ready to send.

When should a team move from this tool to a deeper audit?

Use the quick audit for a fast baseline or repeat runs. Move to the deep AI audit when the site needs reasoning about citability, authority, E-E-A-T and platform-level gaps.

Your team repeats the same audit by hand? Turn it into a tool.

Show us the checklist and the report you send today. We'll quote a fixed price for the tool that produces it.

Tell us what you're building

Prefer to talk? Pick a 30-minute slot.

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