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How to Prepare an Online Store for an SEO Audit to Get a Work Plan, Not Just a List of Errors

What to gather before an SEO audit for an online store, how to distinguish symptoms from root causes, and what criteria to use for accepting recommendations and setting priorities.

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A laptop with graphs and a paper map of the online store structure without labels
In this article

Two audits of the same store can contain hundreds of identical errors yet lead to opposite decisions. One might suggest disabling filters, while another recommends developing landing pages. One may label all product cards as slow, while another identifies a single heavy component. The difference lies not in the scanner but in the source data and the problem definition.

Preparing for an SEO audit is not about fixing the site in advance. It helps connect technical symptoms with the product assortment, templates, search queries, and sales. This ensures the result is a coherent action plan rather than a raw export of warnings from multiple tools.

Define the solution the audit must support

The request "check SEO" is too broad. A store might be losing indexable pages after a migration, growing slower than competitors, ranking irrelevant categories for commercial queries, or preparing for a CMS change. Each situation requires a different scanning depth and data set.

  • After migration, old and new addresses, redirects, the sitemap, and impression dynamics before and after the switch are critical.

  • Category growth requires queries, actually rankable pages, catalog structure, and filter rules.

  • When dealing with product card issues, key factors include product variants, removed positions, availability, structured data, and the canonical URL policy.

  • Before a redesign, current templates, internal links, metadata, content, and speed metrics must be recorded to avoid losing functional elements.

Prepare access credentials and data exports, but limit them to the specific task

For a specialist, data from search engines and analytics for a comparable period is useful, not an administrator password "just in case". Access is granted to a separate account with minimal privileges and an expiration date. If access is impossible, prepare exports without buyers' personal data.

Source

What it addresses

What it does not prove

Search Webmaster

Impressions, clicks, pages, and crawl errors

Actual sales and phone calls

Analytics system

Sessions, events, funnel, and revenue with correct configuration

Index completeness and positions for all queries

Position check

Position of a specified URL for a specified query and region

Real traffic and demand outside the query list

Server logs

Actual robot requests and server responses

Page quality and commercial value

Crawler

Page links, response codes, and template elements

That the search engine will definitely select this URL

Select the period accounting for seasonality and site changes. Comparing a sale week with a regular week leads to false conclusions. If the store was recently launched, state this limitation directly: there is currently insufficient data to assess stable dynamics.

Describe the catalog architecture in plain language

A crawler sees addresses but does not know why the store has three price types, regional subdomains, hidden stock levels, and separate size cards. Attach a brief diagram of sources and rules to the audit.

  • Which system creates products, categories, attributes, prices, and stock levels

  • Which filters should become landing pages and which exist only for selection convenience.

  • How removed items, temporary out-of-stock status, and model replacements are handled.

  • Whether there are regions, languages, wholesale prices, or content available only after authorization.

  • Which integrations can change the item address, name, description, or availability.

Without this diagram, identical URL parameters are easily mistaken for garbage or, conversely, thousands of useless combinations are left behind. The solution must stem from search intent and template manageability, not from a desire to make the number of pages as large or as small as possible.

Collect a log of significant changes

Update dates for the CMS, template, 1C exchange, filter rules, CDN, redirects, and analytics often explain the graph better than any correlation. A table is sufficient: date, change, affected sections, expected effect, and rollback possibility.

If the decline began after a structural change, the audit must first verify the migration and address mapping. If positions remained unchanged but visits dropped, the cause may lie in demand, snippets, or measurement. Terms such as 'positions', 'impressions', 'clicks', 'visits', and 'orders' must not be used interchangeably.

How to distinguish a useful recommendation

A recommendation must include the reason, affected pages, a verification method, and the expected result type. A promise to 'fix all meta tags' is weaker than a rule for a specific template with examples of exceptions and a test after implementation.

Weak formulation

Working formulation

Remove duplicates

Name the duplicate type, select the canonical URL, adjust generation logic, and verify signals after implementation

Speed up the site

Specify the template, slow stage, metric, control device, and performance budget

Add text

Identify pages and intents, verify usefulness, template, and risk of duplicates

Fix headings

Set H1 and title rules for page types, exclusions, and a method for bulk verification

Prioritize by impact and dependency

A critical error does not always need to be addressed first. If a canonical URL is generated incorrectly due to filter architecture, manually editing tags will only provide a temporary fix. First, eliminate the root cause, then recalculate dependent pages.

For each task, assess scope, risk, effort, dependency, and measurement method. Separately flag safe quick fixes and changes requiring a test environment, a backup, and a rollback plan. Development, content, and analytics teams must view a single list; otherwise, each team will optimize its own metric.

A good SEO audit does not end with the number of problems found. It can be accepted if it is clear which pages and queries are affected, why a specific solution is proposed, who will implement it, and what signal the team will use to determine whether the change helped or needs to be reverted.

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