Crawl & Status Codes
Identify important 2xx, redirects, broken links, soft 404 patterns and server errors.
Find the technical issues that make important pages harder to crawl, index, understand or use before spending more on content and backlinks.
Our audit reviews how search engines reach important URLs, how duplicate or parameter pages are controlled, whether canonical and redirect signals agree, and whether page templates create crawling or indexation waste.
We also check performance, mobile experience, structured data, sitemaps, robots directives and internal linking where they affect search visibility.
Technical work should support the broader SEO strategy, not exist as a separate checklist. When fixes require template or server changes, our web development service can support agreed implementation.
The audit adapts to the platform, website size and problem. We avoid dumping hundreds of low-value checks into a report without priorities.
Identify important 2xx, redirects, broken links, soft 404 patterns and server errors.
Compare intended indexable pages with Search Console and site signals to find exclusions or duplicate patterns.
Check robots.txt, meta robots and X-Robots-Tag controls for unintended blocking or indexing.
Review self-canonicals, conflicting canonicals, pagination and duplicate URL signals.
Confirm sitemaps contain canonical, indexable URLs and remain current as content changes.
Review click depth, orphan risks, internal links and crawl paths to important commercial pages.
Identify performance patterns affecting LCP, INP, CLS and overall page experience.
Check whether important content and links depend on rendering or client-side behaviour that may create crawl problems.
Validate useful schema types, required properties and consistency with visible page content.
Review URL changes, redirect maps, protocol/host rules and launch risks for redesigns or migrations.
Use available crawl or server evidence to understand crawler behaviour on larger or problematic websites.
Turn findings into affected templates, examples, priority, recommended action and validation method.
For businesses that care about answer engines and AI-assisted search experiences, the audit can also review whether important business facts, services, entities and expert answers are expressed clearly enough to be understood and reused.
This does not mean adding repetitive “AI keywords.” It means improving information structure, source clarity, entity consistency, direct answers and machine-readable context while keeping the page useful for human visitors.
No audit can guarantee citation or inclusion in an AI-generated answer.
We avoid random activity. Each step should answer what needs to happen next and why.
Understand the website, platform and known problems.
Collect site and Search Console evidence.
Group issues by pattern and likely impact.
Create an ordered developer action list.
Recheck fixes and important signals after implementation.
A 100-page service website and a large ecommerce or JavaScript application require different crawl depth, data analysis and validation.
The final scope depends on page count, templates, internationalization, rendering, migrations, access to Search Console/analytics and whether post-fix validation is required.
Request a Custom Scope →We do not promise a guaranteed ranking, lead count or return. The proposal explains responsibilities, assumptions and measurement.
The strongest opportunities often cross channel boundaries. These related pages make the next step clearer.
It is a structured review of the technical signals that affect crawling, rendering, indexing and site understanding, including status codes, robots controls, canonicals, sitemaps, internal links, performance and structured data.
It can identify common technical and quality patterns behind indexation problems, but indexing is ultimately controlled by search engines. The audit helps separate blocking, duplication, weak internal linking, canonical conflicts and other likely causes.
Yes. Performance and page experience can be included, with attention to template-level causes rather than only one lab-test screenshot.
Yes. Useful findings include affected URL examples, the pattern or template involved, priority, recommended fix and a way to validate the result.
Robots.txt is mainly a crawl-control file, not a speed button. Blocking the wrong areas can make discovery worse. Faster discovery usually comes from strong internal links, clean sitemaps, useful content and stable server responses.
No. We can remove technical barriers and improve signals, but search engines decide what to index based on many factors including content quality and duplication.
Start with a technical audit that identifies affected URL patterns, likely causes, validation steps and the recommended fix order.