Understand your website through evidence.

A website SEO audit that connects findings to evidence

The Nuo Pixel Solutions website audit helps you inspect a public page and decide what deserves attention next. It combines an initial HTML review, a small sample of internal pages, and browser-based checks when the self-hosted worker is available. The report shows what was observed, which checks passed, what needs review, and which measurements could not be obtained.

A useful website audit is more than a number. A missing description needs a different response from a broken page, an inaccessible form control, or a slow-loading image. Each finding includes supporting evidence and a recommended action so you can understand the issue before changing your website.

You can use the tool to review a homepage, a service page, a blog article, or another public HTML page. Enter the complete page address when a particular journey matters. The requested path is preserved, and any final redirect destination is recorded in the report.

How to run a website audit

Enter the website or page URL above. You can include https:// yourself, or let the tool add it to an address such as example.com/services/. Answer the short arithmetic question and confirm that you own the website or have permission to audit the public page. No account or email address is required for the initial analysis.

After submission, the request enters a background queue. The status explains the current stage, such as checking the crawl policy, fetching the page, reading metadata, inspecting links, or running the browser worker. These are actual job stages rather than a countdown that pretends work has finished.

When the report is complete, this page opens it automatically. You can then filter findings, inspect evidence, download the JSON data, or use Print / Save PDF. Save the private report link if you want to return later. Anyone you give that access link can view the report until it expires.

On-page SEO: titles, descriptions, headings and canonicals

The initial HTML checks look for a descriptive document title, meta description, primary headings, heading hierarchy, a canonical declaration, language information, and indexing directives. The report includes the values it found so a developer or content editor can inspect the actual page output.

A canonical URL tells search engines which version you intend to consolidate around, but a canonical pointing elsewhere is not automatically wrong. The report asks you to verify the intended relationship. Similarly, more than one H1 is treated as a structural review candidate rather than a claim that the website has received an SEO penalty.

Title and description lengths are diagnostics, not universal ranking requirements. The useful question is whether the text accurately identifies this page and helps a visitor understand its purpose. A short product page and a detailed engineering guide can both be appropriate when they meet their users’ needs.

Technical SEO and the internal-link sample

The tool records the main response status, final URL, and redirect history. It checks the crawl policy in robots.txt and discovers a bounded sitemap document where available. It can follow a small number of permitted same-origin HTML links to provide additional context without launching an uncontrolled site crawl.

The report identifies exactly which pages and links were checked. A confirmed HTTP error can support a repair task. A request that could not complete is labelled unavailable so a network restriction is not silently turned into a broken-link claim. Same-document links are also checked against the IDs present in the initial HTML.

This sample cannot prove that an entire site has no broken links or orphan pages. Full architecture analysis needs a broader inventory and an agreed crawl scope. Use the report as evidence about the listed pages, then expand the investigation when the business problem requires it.

Website performance: server timing versus browser experience

A server-side fetch can measure how long this server waited for an HTML response and how many decoded HTML bytes it received. That is useful evidence about a particular request, but it does not describe the time a visitor waited for a page to render or become usable.

When the configured browser worker is available, the platform runs Lighthouse locally in Chrome and reports separate mobile and desktop laboratory results. The report records the Lighthouse version and test conditions so the results can be interpreted in context. It does not call the PageSpeed Insights API or substitute invented values when the worker is unavailable.

Laboratory measurements are affected by hardware, network conditions, browser versions, throttling, caching, and the audit’s network policy. Compare results under similar conditions. One unusually good or poor run should not become a promise about every visitor’s experience.

Understanding LCP, CLS, FCP and Total Blocking Time

Largest Contentful Paint, or LCP, concerns when a large visible content element is rendered in the test. First Contentful Paint, or FCP, concerns the first rendered content. Cumulative Layout Shift, or CLS, concerns unexpected movement of visible elements under the measurement method. Total Blocking Time, or TBT, is a laboratory indicator related to periods of main-thread blocking.

Those metrics answer different questions. A small HTML response does not establish a good LCP result, and a low TBT value is not a real-user Interaction to Next Paint measurement. The report keeps server-side observations, browser snapshots, and Lighthouse results in their respective sections.

This platform does not currently connect a real-user field dataset. It therefore labels field Core Web Vitals and real-user INP as not measured. That distinction matters when deciding whether an issue is visible in a controlled run, widespread among users, or still needs additional evidence.

Accessibility checks and mobile layout review

The HTML review can identify candidates such as missing image alt attributes, unclear input labels, language declarations, and heading-order anomalies. The browser worker can add axe-core findings with affected elements and relevant rule references. Desktop and mobile captures make the observed layout easier to review.

A missing alt attribute differs from an intentionally empty alternative on a decorative image. A small target bounding box may need review without proving a failure in every context. The report preserves these distinctions and explains where a static observation needs a rendered or manual assessment.

Automated testing cannot establish complete accessibility compliance. Keyboard navigation, assistive-technology use, focus behavior through interactive journeys, meaningful descriptions, and real user tasks still need appropriate manual review. Screenshots represent the listed viewport sizes at the recorded time, not every device or interaction.

Images, CSS, JavaScript and font observations

The tool inventories image URLs and attributes such as width, height, alternative text, loading behavior, and responsive-image declarations. Rendered checks can add natural dimensions, displayed dimensions, and broken-image candidates. These details help distinguish a missing attribute from an actual delivery problem.

There is no blanket recommendation to convert every image to WebP or to lazy-load every image. Transparency, sharp graphics, logos, browser support, and the role of the image all affect the appropriate choice. A prominent hero image needs different consideration from an image far below the initial viewport.

Script and stylesheet inventories identify delivery patterns that deserve investigation. A synchronous script is a candidate for review, not proof of a specific execution delay. Font hints and browser observations can guide a closer look at variants and delivery. Actual unused-code or estimated-savings claims are included only when the source laboratory analysis supports them.

Content, vocabulary and structured data

The content section reports text found in the initial HTML, headings, and observed vocabulary. Frequently occurring terms and filtered term combinations can help an editor understand the language the page currently uses. They do not represent measured search demand or a list of queries that real customers typed.

The tool does not claim to know keyword difficulty, impressions, rankings, competitor traffic, or conversion rates. It also does not use an AI model to invent topic authority. Review the page’s intent, useful examples, audience questions, and supporting evidence with the people who understand the subject.

Structured-data checks parse JSON-LD syntax and discover entities such as WebPage, Organization, Article, or Service where present. Valid JSON is not the same as complete schema.org validation or Google rich-result eligibility. The report describes that boundary rather than promising enhanced search results simply because markup exists.

How to read the scores and colors

Nuo custom category scores summarize the included checks. A passed check receives its assigned weight, a warning receives half that weight, and a failed check receives zero. Informational and unavailable observations are excluded. The JSON export records the scoring version and finding details so the calculation is inspectable.

Green, amber, and red help you scan stronger results, review areas, and lower-scoring categories. Labels and numeric values remain visible so color is not the only way to understand the report. These presentation bands do not create a new measurement or change the underlying findings.

Lighthouse category scores are shown separately and identified as laboratory results. Neither set of scores is a Google ranking prediction, a conversion forecast, a security certificate, or a complete accessibility assessment. Prioritize a meaningful, verified problem over increasing a number without improving the user’s task.

Turn the report into a practical improvement plan

Start with findings that affect availability, important user actions, or access to essential information. Inspect the supporting evidence before implementing a change. A missing field label may be a small template fix, while a slow interactive journey may require investigation across application code, data, and network behavior.

Use severity and category filters to focus the work. A developer can review technical evidence, while a content editor can inspect titles, descriptions, headings, and the page’s vocabulary. Illustrative implementation examples are starting points that need adaptation to the actual site and its dependencies.

After a change, re-run the relevant check and test the affected journey directly. Historical comparisons help only when the target, coverage, scoring version, and laboratory conditions are sufficiently similar. A score difference by itself does not prove that traffic, revenue, or user satisfaction improved.

Private reports, sharing and responsible access

Reports are private by default and excluded from indexing unless an administrator reviews and approves them. The private link is an access capability: share it only with people who should see the report. Do not put passwords, secret tokens, or personal information into a target URL.

The platform stores the report snapshot and controlled browser artifacts according to configured retention periods. Screenshot access is checked through the application rather than exposing a public storage folder. A screenshot can expire before the textual report, so an older report may no longer have its original images available.

Only public HTTP and HTTPS destinations are supported. Localhost, private networks, metadata addresses, unsafe redirects, and unsupported ports are blocked. The crawler respects access restrictions and robots policies. It does not attempt to log in, bypass bot protection, exploit vulnerabilities, or perform penetration testing.

When to request a professional review

The free audit is useful for an initial review, a focused implementation discussion, or a check after a website change. A larger investigation may be appropriate when the problem involves complex application behavior, a migration, a full content architecture, sensitive transactions, or accessibility requirements that need manual evaluation.

Nuo Pixel Solutions works across UI/UX design, frontend engineering, WordPress development, custom applications, integrations, and on-site SEO. We can use the report as a starting point to discuss which findings matter to your users and which changes need a coordinated implementation.

You do not need to prepare a long specification to begin. Share the page, the report, and the task you want visitors to complete. Our short contact form asks for the essentials. You can also explore web application UI/UX design or frontend engineering when the findings point to a broader product problem.

Website audit FAQs