What does a good SEO audit report example look like?

A good SEO audit report is a decision-making document, not a list of automated warnings. It explains how the website is currently performing, links each issue to evidence, assesses its likely effect on organic search and users, and sets out practical actions in a clear order. A reader should be able to understand what needs attention, why it matters, who should address it and how the result will be checked.

It starts with a clear scope and summary

The report should state what was reviewed and what was outside its scope. This may include the website’s technical configuration, indexability, crawl behaviour, information architecture, content, internal linking, structured data, performance, mobile experience and search visibility. The audit should also identify the relevant domain, subdomains or templates examined, the date of the review and any limitations in the available data.

A concise executive summary should then present the main conclusions in plain language. It should not simply repeat the contents of the report. Instead, it should explain the most important barriers to organic search performance, the strengths that should be retained and the actions likely to make the greatest difference. A senior stakeholder should be able to read this section and understand the position without working through every technical detail.

It separates observations, causes and recommendations

Strong reports distinguish between what has been observed, why it may be happening and what should be done about it. For example:

• Observation: important category pages are not appearing in the search index.
• Likely cause: the pages are blocked by a directive, excluded by a canonical signal or not discoverable through the site’s internal links.
• Recommendation: confirm which pages should be indexed, remove the relevant restriction and improve links from appropriate navigational or content pages.

This distinction prevents assumptions from being presented as facts. It also gives developers, content teams and marketing managers enough context to act without having to interpret an ambiguous warning.

It contains evidence for every material finding

Each significant finding should be supported by evidence that can be checked. Useful evidence may include affected URLs, crawl observations, page templates, screenshots, source-code extracts, indexation checks, search performance data, ranking trends, internal-link paths, rendered-page comparisons or examples from the site’s content. The evidence should be proportionate to the finding: a site-wide template issue may need representative examples, while an isolated URL problem should identify the specific page.

Evidence should be recent enough to describe the current site and should make clear whether a conclusion is based on a crawl, analytics data, search data, manual review or a combination of sources. Where the evidence is incomplete, the report should say so and recommend a validation step rather than presenting a definitive conclusion.

It covers the technical foundations of search visibility

A useful technical section examines whether search engines can discover, crawl, understand and index the pages that matter. It should consider:

• indexation status and unintended exclusions;
• robots directives, meta robots instructions and canonical URLs;
• XML sitemaps, their accuracy and their relationship with indexable URLs;
• HTTP status codes, redirect chains, broken links and soft error pages;
• duplicate, near-duplicate, parameterised or faceted URLs;
• JavaScript-dependent content and whether important information is available when the page is rendered;
• site architecture, crawl paths and the depth of important pages;
• mobile usability, page experience and performance issues that affect users;
• HTTPS, security and the consistency of preferred URL versions;
• structured data, including whether it is valid, relevant and consistent with visible page content; and
• international or regional signals where the website serves more than one market.

The report should avoid treating every technical warning as equally important. A minor issue on a low-value page is not comparable with a directive that prevents an important set of pages from being indexed. The finding needs to explain the practical consequence for this particular website.

It evaluates content quality and search intent

Technical accessibility alone does not make a page competitive. A good audit reviews whether important pages provide useful, accurate and sufficiently complete information for the intent behind the searches they target. It should examine the alignment between page purpose, title, headings, main copy, supporting information and the actions available to the visitor.

Content findings may relate to gaps in topic coverage, weak differentiation, outdated information, overlapping pages, unclear ownership, thin supporting copy or pages that target an unsuitable intent. The report should explain the problem with examples and distinguish between content that should be improved, consolidated, redirected, removed or created.

On-page recommendations should be specific enough to guide an editor. “Optimise the page” is not an adequate action. A stronger recommendation might ask the team to clarify the service offered in the opening copy, answer a particular user concern, combine overlapping pages and strengthen links to the relevant conversion page. Recommendations should preserve useful content and avoid changes made solely to insert keywords unnaturally.

It reviews internal linking and information architecture

Internal links help users navigate the website and help search engines understand the relationship and relative importance of pages. An audit report should identify whether key commercial, informational or supporting pages can be reached through relevant contextual links, navigation and other appropriate pathways.

It should also flag orphaned pages, excessive reliance on generic anchor text, links to redirected or broken URLs, inconsistent navigation and category structures that do not reflect how users search for the organisation’s services or products. The recommendation should identify suitable linking opportunities or structural changes rather than suggesting that every page should link to every other page.

It considers search visibility and business relevance

Where search performance data is available, the report should connect technical and content findings with actual visibility. This can include the queries and landing pages generating impressions, the pages receiving organic visits, changes in visibility over time and areas where relevant pages are not attracting the expected demand. Search data should be interpreted carefully: a fall in clicks may have several causes, and a ranking position alone does not establish business value.

The audit should distinguish between visibility that supports the organisation’s objectives and visibility for irrelevant searches. It should also consider whether search results accurately represent the business, whether important pages are competing with one another and whether the current page type matches the searcher’s intent.

It gives every issue a consistent priority

A good report uses a transparent method to prioritise findings. Priority commonly reflects the potential effect on organic visibility or conversions, the number and importance of pages affected, the confidence in the evidence and the effort or risk involved in making the change. These factors should be explained rather than hidden behind an unexplained label.

For example, an issue that prevents a key group of pages from being indexed may require immediate attention. A template-level title problem may be important because it affects many pages, even if each individual page appears only mildly affected. A recommendation to improve copy on a low-priority supporting page may be worthwhile but should not displace a confirmed indexation or internal-linking problem.

Labels such as high, medium and low can be useful, provided the report defines them. Priority is not the same as difficulty, and a technically complex task is not automatically the most important task. The report should make clear whether an item is urgent, strategically important, quick to resolve, dependent on another task or suitable for a later improvement cycle.

It turns findings into an actionable implementation plan

Every recommendation should have an identifiable outcome. The action plan should ideally include the issue, affected area, recommended change, priority, owner, dependencies and validation method. Ownership might sit with development, content, UX, analytics or marketing, and some recommendations will require collaboration between teams.

Actions should be written as tasks rather than general advice. “Fix canonicalisation” is less useful than “review the canonical rule for filtered category URLs, ensure the preferred category URL is returned consistently and validate the result on representative pages”. The latter gives the implementation team a defined objective and gives the auditor a clear basis for checking completion.

The report should also identify dependencies. For instance, a content consolidation may need to happen before internal links are updated, while a template change may need staging validation before release. Separating immediate fixes, planned improvements and longer-term recommendations makes the work easier to schedule without implying that every lower-priority item is unnecessary.

It explains how changes will be validated

A recommendation is incomplete if the report does not explain how to confirm that it worked. Validation may involve a follow-up crawl, checking response codes and directives, reviewing rendered content, testing structured data, inspecting internal links, comparing search data or carrying out a manual quality review.

Some outcomes can be checked immediately, such as whether a page returns the intended status code or whether a noindex instruction has been removed. Others need observation over time, such as changes in crawling, indexation, organic visits or conversions. The report should distinguish between technical verification and performance measurement so that short-term implementation checks are not confused with long-term SEO results.

A practical example of a report finding

A well-written finding might state that several important service pages are not receiving internal links from relevant, indexable sections of the website. It would identify representative URLs and show how they are currently discovered, explain that weak link paths can reduce discoverability and make page importance less clear, and recommend adding relevant contextual links from established pages and suitable navigation areas. It would then assign the task to the appropriate team, define a priority based on the value of the affected pages and specify that the change should be checked through a new crawl and a manual review of the linking pages.

By contrast, a report that only says “internal linking needs improvement” does not provide enough evidence, reasoning or direction to support implementation.

It is readable for technical and non-technical stakeholders

The best audit reports use technical terminology where it is necessary but explain its operational meaning. A developer may need the precise directive or response code, while a marketing stakeholder needs to understand the effect on discoverability, traffic or customer journeys. Both needs can be met by presenting the technical detail alongside a plain-English explanation.

Findings should be grouped logically, use consistent terminology and avoid repeating the same issue across multiple sections without adding new information. Tables, screenshots and examples can improve clarity, but they should support the analysis rather than replace it. The report should remain useful after the initial presentation, when teams are using it to plan, implement and review work.

Overall, a good SEO audit report example shows a complete chain from evidence to explanation, priority, action and validation. It does not promise that every recommendation will produce an immediate ranking change, and it does not treat automated tool output as a finished diagnosis. Instead, it gives the business a defensible view of its current search foundations and a practical sequence of improvements that can be assigned, implemented and measured.