Technical SEO Audit Report Template and Example Structure

A technical audit report turns observations into work by recording scope, method, evidence, affected URLs, impact, owner and a verification step for every finding. This page provides the report structure in the page itself; it does not offer a separate downloadable file.

The framework leads with verified impact, distinguishes measured data from estimates and supplies enough implementation detail for a developer to reproduce the failure. Adapt the fields to the site's goals and risk model.

SEO professionals, in-house teams and freelancers can adapt this structure to produce a clear, reviewable report. Its value depends on the evidence and decisions recorded, not the template alone.

What the Template Covers

The template is organised into seven sections, each addressing a distinct area of technical SEO. The sections are ordered by their typical importance to stakeholders, not by the order in which you conduct the audit.

Executive summary. A one-page overview for decision-makers who may not read the full report. It states the most consequential verified findings, the affected business processes or page groups, and the recommended work in plain language.

Crawlability and indexation. The most technically dense section, covering everything that affects whether search engines can discover and index your content: robots.txt, sitemaps, canonical configuration, redirect architecture, orphan pages, and crawl budget efficiency.

On-page SEO. The elements that determine how search engines interpret each page: title tags, meta descriptions, heading hierarchy, image optimisation, structured data, and internal linking patterns.

Performance. Server response times, Core Web Vitals, resource delivery and caching evidence. This section identifies measured user-experience bottlenecks without assigning an invented ranking weight.

Security. Record authorised TLS, header, exposure and third-party evidence. Explain verified impact in plain language without using fear to inflate priority.

Mobile experience. Responsive behaviour, target sizing, complete tasks and the content, metadata, links and structured data available to Google's smartphone crawler.

Prioritised action plan. The final section that transforms findings into a project plan. Every recommendation is ranked by impact and effort, assigned to a responsible party (development, marketing, content), and given an estimated timeline.

Each section follows the same internal structure: a brief contextual introduction (why this area matters), detailed findings with supporting evidence, and specific recommendations with implementation guidance. This consistency makes the report easy to navigate and ensures no finding exists without a clear path to resolution.

Executive Summary Section

The executive summary is the most important page of your audit report. For many stakeholders, it is the only page they will read. A poorly written executive summary means your audit gathers dust. A well-written one secures budget and drives action.

Outcome summary. State the number of confirmed findings by severity and name the business processes or page groups affected. Avoid an unexplained 0–100 health score because different tools weight checks differently and the number can hide one critical failure.

Key metrics dashboard. Present a small set of measurements that define the audit scope and show the observed outcomes: URLs crawled, affected URLs by confirmed finding, Core Web Vitals field-data status where available, and submitted versus indexed sitemap URLs. Label the source, sample, device, location and collection date so readers do not mistake partial data for whole-site coverage.

Top findings. List the most consequential verified findings in plain language. State what was observed, the affected URLs or templates, the evidence and the user or search process at risk. Do not convert an affected-URL percentage into a traffic-loss forecast without supporting data.

Recommended work. State the estimated implementation effort, dependencies, owner and validation method for the highest-priority findings. Describe the technical outcome that can be tested, such as an intended URL becoming indexable or a measured request leaving the critical path; do not promise rankings.

What to avoid in the executive summary. Do not include technical terminology without explanation. Do not list more than 5 findings — the executive summary is for priorities, not completeness. Do not use passive voice or hedge your recommendations. If the site needs urgent work, say so directly. Soft language lets stakeholders defer action.

Crawlability Section

Crawlability findings can be consequential because they affect discovery, rendering and the signals Google can retrieve. Keep crawling and indexing separate: a URL blocked by robots.txt can still appear in search if Google discovers it elsewhere, although Google may be unable to crawl the page content. The report should identify the observed stage and evidence instead of assuming one from the other.

Robots.txt analysis. Document the current robots.txt configuration, highlighting directives that block content or resources the site intends Google to crawl. Include the exact directives, affected URL patterns and a tested example. If a change is warranted, provide a proposed rule with its expected scope and warn developers to test it against representative allowed and blocked URLs before release.

XML sitemap audit. Report on sitemap presence, validity and accuracy in the context of the site's size and discovery paths. Check whether submitted sitemap URLs are canonical and intended for indexing, and sample response and indexability states. Prioritise each confirmed issue by affected important URLs and actual discovery or monitoring impact. A sitemap reference in robots.txt is optional when the sitemap is submitted or discoverable by another supported route.

Redirect mapping. Document redirect chains (A redirects to B redirects to C) and loops. For each, show the complete path, requesting internal links, response timing from repeatable tests and the intended direct destination. Supply a mapping that developers can implement and verify.

Canonical configuration. Audit canonical tags across the entire site. Report on: pages with missing canonical tags, pages with canonical tags pointing to non-existent URLs, pages with canonical tags pointing to non-indexable URLs, and conflicting canonical signals (HTML canonical disagrees with HTTP header canonical). Each finding should include the affected URL, the current canonical value, and the correct canonical value.

Orphan pages. Identify pages that exist on the server but have no internal links pointing to them. These pages are discoverable only through the sitemap (if listed) or through external links. For each orphan page, recommend either adding internal links from relevant pages or removing/redirecting the page if it is no longer needed. Include the pages that should link to each orphan based on topical relevance.

Crawl depth analysis. Map the shortest crawlable path to each URL and compare depth by page group. Explain why an unexpectedly deep priority page needs a new user-facing path instead of treating three clicks as a universal threshold.

Performance Section

Performance findings resonate with every stakeholder because everyone has experienced a slow website. The performance section should translate technical measurements into user experience language and business impact.

Core Web Vitals. Report Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP) for representative pages. Use field data and diagnostic lab data where available, labelling each scope. Google's good boundaries are LCP within 2.5 seconds, CLS at most 0.1 and INP at most 200 milliseconds at the 75th percentile. Use traces and attribution data to identify the responsible element, request or interaction rather than assuming a cause.

Server response time. Report TTFB from relevant locations and separate cached from uncached requests. Trace DNS, connection, TLS, edge and origin time before recommending a server, cache or database change.

Resource audit. Create a resource inventory showing every CSS file, JavaScript bundle, image, font file, and third-party script loaded on key pages. For each resource, document the file size, whether it is render-blocking, whether it is cached, and whether it is used on the page. Identify the largest resources and calculate the potential savings from optimisation. A table showing "current size vs optimised size vs estimated savings" is compelling because it makes the improvement tangible.

Image optimisation. Document formats, intrinsic and displayed dimensions, transfer sizes, responsive candidates, loading priority and the LCP image where applicable. Generate alternate encodes and report measured byte savings at acceptable visual quality instead of applying a generic saving percentage.

Third-party impact. Isolate the performance impact of third-party scripts. Many sites load analytics, advertising, chat widgets, social embeds, and tracking pixels that collectively add seconds to load time. Document each third-party resource, its size, its load time impact, and whether it is essential to the business. Often, half of a site's third-party scripts can be removed or deferred without affecting business operations.

Security Section

Report only security controls actually tested and keep passive observations separate from an authorised security assessment. Rank a verified finding from exploitability, affected assets and business impact rather than fear-based language.

SSL/TLS assessment. Report on certificate validity, chain of trust, protocol version (TLS 1.2 minimum, TLS 1.3 preferred), and cipher suite strength. Check for common misconfigurations: certificates that do not cover all subdomains (www vs non-www), expired certificates, certificates issued by untrusted authorities, and mixed content that undermines HTTPS by loading resources over HTTP. Each finding should include the specific misconfiguration and the exact steps to resolve it.

Security header observations. Record exact response headers on representative URLs. Assess HSTS scope only after confirming HTTPS across required subdomains. Evaluate Content Security Policy directives against actual resources and threats, and review framing and MIME-sniffing controls. Refer security changes for authorised testing; do not paste a generic policy into production.

Exposed files and directories. Within the authorised scope, document accessible secrets, repositories, configuration, dumps, archives or version information. Rate each finding from the disclosed content, exploitability, access controls and affected assets; a public readme is not automatically critical.

CMS and plugin security. Inventory installed core and component versions, support status and exposure. Match versions to authoritative advisories and test supported updates. Age or last-update date alone does not establish a vulnerability.

Cookie and privacy evidence. Document cookies and similar technologies, purposes, expiry, recipients and behaviour before and after choices. Ask privacy counsel to interpret consent, exemption or opt-out duties for each jurisdiction.

Scoring System

A consistent scoring system transforms a list of findings into a clear prioritisation framework. Here is the scoring model used in our template.

Per-finding severity. Each finding is scored on a 1-5 scale based on its impact on the site's ability to attract and convert organic traffic. Score 5 (Critical): the issue is actively preventing pages from being indexed or is creating an immediate security risk. Score 4 (High): the issue is significantly reducing organic visibility or user experience. Score 3 (Medium): the issue is limiting performance but not causing immediate harm. Score 2 (Low): the issue represents a best-practice deviation with minor impact. Score 1 (Informational): the finding is worth noting but does not require action.

Category status. Summarise each category with counts of confirmed findings and affected URLs. Keep the underlying evidence visible so a stakeholder can see why one blocked revenue page matters more than many cosmetic warnings.

Overall priority. Set priority from verified impact, likelihood, scope and remediation dependency. If a contract requires a numeric model, document its formula and uncertainty rather than presenting the output as an objective SEO score.

Effort estimate. Ask the implementation owner to estimate work against the affected templates, dependencies, release process and test coverage. Keep effort separate from impact so a cheap cosmetic change does not displace a critical fix.

Trend scoring. If you are conducting a repeat audit, include trend indicators showing whether each metric has improved, declined, or remained stable since the last audit. Trend data is powerfully motivating — it shows stakeholders that their investment in previous fixes produced measurable results and that new issues need attention before they worsen.

How to Present

The way you present your audit findings determines whether they get implemented. A technically perfect report that nobody acts on has produced zero value. Here is how to present findings for maximum impact.

Know your audience. Technical stakeholders (developers, CTOs) want specific findings, code examples, and implementation details. They want to know exactly what to change, in which file, and how to verify the fix. Business stakeholders (CEOs, marketing directors, clients) want to understand the business impact — traffic at risk, revenue implications, competitive disadvantage. Present the same findings in different language depending on who is in the room.

Lead with verified impact. Start with the most important supported finding and its affected scope. Keep a concise method and limitations section in the report so readers can reproduce the result and understand what was not tested.

Use before-and-after validation. Record the baseline, implement the change in a controlled environment and repeat the same test. Label forecasts as estimates with their assumptions; report observed crawl, index or performance changes only after measurement.

Provide implementation-ready recommendations. State the intended result, affected routes or templates, constraints and verification step. The implementation owner should adapt robots directives and server policies to the real environment and test them before release; avoid generic copy-paste configuration.

Include a plan. Group accepted fixes by dependency and release window, assign an owner and define the check that closes each finding. Let the delivery team set dates from capacity and operational risk.

Schedule a follow-up. Agree a review point from the accepted work and release dates. Retest resolved findings under the original conditions and record the result, owner and remaining risk.

Use the technical audit method to collect findings before applying this structure. Google's traffic-drop debugging guidance is a useful model for separating evidence from assumptions. AuditWeb's service scope starts at $297 and should be confirmed before assuming which tests or report fields are included.