Technical foundation
Review discovery, crawl behavior, rendering, indexation, duplication, architecture, performance, structured data, and migration risk.
Find the issues worth fixing first and leave with a practical plan, clear evidence, accountable owners, and a way to verify the work.
An audit is a good starting point before a redesign, migration, new retainer, traffic-loss investigation, or major content investment. It also fits teams with many recommendations but no shared priority order.
Organic performance changed and the cause is unclear.
Several tools report hundreds of issues without explaining material impact.
A redesign, platform move, or domain change creates search risk.
Marketing, content, and development teams disagree about what should happen first.
An SEO audit is a decision document. It connects evidence with affected users, business impact, priority, owner, dependency, action, and a verification method.
The client supplies the main business goal, website and platform access, Search Console and analytics data, known changes, lead definitions, and the people responsible for implementation.

The work is adapted to the real decisions within this service rather than copied from a generic checklist.
Review discovery, crawl behavior, rendering, indexation, duplication, architecture, performance, structured data, and migration risk.
Evaluate page roles, search demand, overlap, useful coverage, content quality, internal links, and gaps in the buying journey.
Review links, mentions, reputation, profiles, citations, reviews, and location relevance where they apply.
Check whether important actions are tracked, landing pages support decisions, and reporting can connect work with useful outcomes.
The work follows the evidence, implementation dependencies, and decisions that matter most.
Confirm business priorities, known changes, constraints, access, and the decisions the audit must support.
Collect evidence across tools, templates, SERPs, analytics, and stakeholder context.
Group findings by root cause and score impact, effort, confidence, risk, and dependency.
Present the roadmap, answer implementation questions, and define verification criteria.
Final scope depends on the starting condition, access, and agreed responsibilities.
Executive summary tied to business priorities
Evidence-backed issue register
Prioritized roadmap with owners and dependencies
Developer, content, and measurement specifications
Implementation verification checklist
Data sources are selected for the problem and may include crawlers, Search Console, analytics, performance tools, backlink databases, local platforms, server logs, CRM data, and manual review.
Tool scores support investigation. They do not replace manual review, business context, or verification.
The audit is first judged by decision quality and implementation progress. Issue-specific indicators then verify whether crawl, page, visibility, conversion, or lead outcomes changed.
A large issue count is not a strategy. The audit should exclude low-value warnings, state uncertainty, and avoid predicting results that the evidence cannot support.
Illustrative working artifact
This example shows the fields used to turn an observation into accountable work. It is a model, not a client result.
Review how each finding connects the evidence, business impact, priority, recommended action, and measurement plan.
You receive the findings, source exports where licensing permits, evidence, roadmap, and specifications in editable formats. The audit is not held inside a proprietary portal.
Scope depends on site size, templates, markets, access, and the decisions required. The proposal should define the audit window, review meeting, question period, and any implementation support.
These services commonly support the same underlying business problem.
Clear expectations make it easier to compare providers and choose a workable scope.
Tools can flag patterns. A useful audit tests those signals against the site's templates, business priorities, search intent, implementation constraints, and evidence from multiple sources.
Implementation scope is separate unless the proposal includes it. The audit itself should still produce actionable specifications, owners, dependencies, and acceptance criteria.
Large sites are evaluated through templates, segments, data patterns, and representative samples, with deeper manual review for priority pages and exceptions.
The team should agree on priorities, assign owners, implement in controlled batches, verify releases, and monitor expected and unexpected effects. An audit that is never translated into work has limited value.
Tell us what you need search to do for the business. We will review the site and identify a practical starting point.
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