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Website quality and SEO assurance

We crawl your site, find broken links, SEO gaps and content errors, and recommend fixes. Every finding is evidenced, reviewed by your team and re-checked on a schedule.

At a glance

AI-driven checks for broken links, search visibility and content errors, with prioritised fixes and scheduled re-checks.

Crawling
  • HTTP
  • HTML
  • Sitemaps
  • robots.txt
SEO signals
  • Meta tags
  • Canonical URLs
  • Structured data
  • Heading structure
AI analysis
  • Language models of your choice
  • Web search tool
  • Responses API

The challenge

A website changes every week. Pages move, links die, titles go missing and copy drifts out of step with itself. Most teams find out when a customer or a search engine does, long after the mistake went live.

Manual reviews do not scale and one-off audits go stale. Meanwhile AI tools that rewrite content or suggest fixes can introduce new errors, or claims nobody approved, unless something governs what they are allowed to change.

What it does

  • Site crawling

    We crawl your pages the way a visitor and a search engine would, following links and sitemaps, and build a complete inventory of what is live.

  • Broken link detection

    Every internal and external link is checked. Dead pages, bad redirects and missing resources are listed with the page they sit on and the fix to make.

  • SEO audit

    Titles, descriptions, headings, canonical tags, structured data and crawl rules are reviewed page by page, with clear gaps and recommendations ranked by importance.

  • Content correction

    Spelling, grammar, terminology and consistency issues are flagged with a proposed correction, so tone and wording stay uniform across every page.

  • Prioritised recommendations

    Findings are grouped by effort and impact, with the evidence behind each one, so your team knows what to fix first and why.

  • Reports and re-checks

    Results arrive as a readable report. Checks repeat on a schedule and show what is new, what was fixed and what regressed.

How it works

  1. Scope the site

    We agree which domains and sections to cover, what counts as a defect, and which pages and content rules the checks must follow.

  2. Crawl and analyse

    The site is crawled and each page is tested for links, SEO signals and content quality, with web search used to check current facts where needed.

  3. Review and recommend

    Findings and suggested corrections are reviewed by a person. Nothing on your site is changed without approval from your team.

  4. Report and re-check

    You receive a prioritised report, then the same checks run again on a schedule to confirm fixes and catch new problems.

Under the hood

Technology
Crawling
  • HTTP
  • HTML
  • Sitemaps
  • robots.txt
SEO signals
  • Meta tags
  • Canonical URLs
  • Structured data
  • Heading structure
AI analysis
  • Language models of your choice
  • Web search tool
  • Responses API
Reporting
  • JSON
  • CSV
  • PDF
  • Scheduled runs

Business outcome

  • Fewer broken experiences for visitors. Dead links and missing pages are found before customers hit them, which keeps journeys intact and protects trust in your brand.

  • Stronger search visibility. Clear, prioritised SEO fixes help search engines understand and surface your pages, without guesswork about where to start.

  • Consistent, error-free content. Spelling, grammar and terminology stay uniform across the site, so every page reads as one voice and looks professional.

  • Quality that stays fixed. Scheduled re-checks catch regressions early, so the site stays healthy as teams publish, and quality becomes routine rather than a project.

Where it is used

  • A marketing team checks a large site for broken links and missing metadata before a campaign or redesign launch.
  • A regulated business reviews published pages for inconsistent terms and wording before an audit or approval cycle.
  • A site owner schedules weekly checks to catch regressions after releases and content updates.
  • An agency runs the same audit across several client sites and compares results in a single report.

Frequently asked questions

Will the service change our website directly?

No. The service finds issues and proposes fixes. Changes to your site are made by your team, or applied only after an explicit approval step that you control.

Which AI models are used?

The service is model-agnostic. You choose the model, whether a frontier model, an open-weight model or a small model for specific checks, and the harness applies the same controls to all.

Can it check external links as well as our own pages?

Yes. Outbound links are tested alongside internal ones, so you see which references have moved or gone dead. Crawl scope and rate limits are set in policy before any run.

How often are checks repeated?

You choose the schedule, for example after each release, weekly or monthly. Each run is compared with the previous one, so the report shows only what changed.

See it on your own documents and data

Tell us what you want to automate and we will show you how it runs inside the harness.