What an AI SEO Audit Should Check for a Service Business

List the services, domains, important pages, relevant platforms, and available accounts. Identify whether the work includes public page inspection, account data, technical configuration, content review, and inquiry testing. State any inaccessible systems or excluded areas.

Choose pages based on business importance and representative patterns. Include an important service destination, a supporting resource, a contact path, and any known problem page. If the website uses multiple templates or domains, the sample should make those differences visible rather than implying one page represents everything.

Inspect the intended URL as a public visitor. Check that it loads, presents the expected content, and links to a working next step. Record redirects, errors, hidden content, and material mobile issues. Use account based inspection where access is available, while preserving the distinction between public observation and private platform data.

Google's AI optimization guidance describes foundational requirements and current inclusion considerations. An audit should examine the relevant settings and avoid claiming that a special file or content score overrides those requirements.

The crawler access review playbook helps organize technical findings and distinguishes search preferences from private content protection.

Review the business identity, offer, geographic coverage, contact routes, eligibility, and commitments. Compare the important destinations for contradictions. We ask the owner to confirm every service fact, because an auditor can't tell a real promise from persuasive copy.

Take our own agency. We're based in Indianapolis with no public street address and serve other markets remotely, so a page implying a local office elsewhere would be wrong. For a hypothetical contractor, emergency availability may differ from routine scheduling. The report should name the conflicting statements and the owner who can resolve them, rather than merely recommending more location keywords.

Identify the questions that matter before a suitable inquiry. Does the page explain scope, alternatives, preparation, and important limits? Does it contribute original useful information? Are examples clearly hypothetical when they are not documented client work?

Check whether the page uses the appropriate format. A genuine comparison needs parallel criteria. A process needs meaningful steps and responsibilities. An FAQ should answer residual questions rather than duplicate the whole page. Record the decision the page leaves unanswered, since a missing heading or low word count is only a symptom.

The production versus strategy article explains why these findings should drive content work before the team commits to a recurring publishing volume.

Test the main contact action with an authorized, clearly identified test when submission is part of scope. Confirm that the business receives the information and knows what to do next. If only read only review is authorized, inspect the visible path and state that delivery was not tested.

Review the fields, instructions, error messages, and stated next step. Ask whether the information is necessary and whether staff can use it. A form can technically work while generating avoidable back and forth because it does not ask about the relevant service or context.

Our website design service can address these destination issues when implementation is included in the agreed scope.

Inventory the available exports and report definitions. Identify Web search data, dedicated AI reports, website analytics, manual observations, and CRM information separately. Check date ranges, filters, and whether periods overlap. We keep the original files before cleaning or combining anything.

If the business has only Web filtered Search Console exports, the audit cannot claim separate AI performance from those files. If a monitoring tool uses a sampled prompt set, state its coverage and settings. If inquiry qualification is inconsistent, explain that limitation before presenting a conversion comparison.

Read the retainer reporting article for a structure that connects these sources without collapsing them into one unexplained number.

• Location: the URL, setting, or workflow affected.
• Evidence: the reproducible observation or source.
• Consequence: the buyer or business problem it creates.
• Recommendation: the smallest justified change.
• Confidence and limits: what is known and what remains uncertain.
• Ownership: who approves, implements, and verifies the work.

Prioritize by consequence, confidence, and dependencies. We'd fix a confirmed broken contact route before any speculative content push. An inaccurate service commitment needs operational approval before an editor can repair the wording. Ranking findings this way turns an audit into a work plan.

Check whether the recommendation can be verified

Before approving a task, ask what the reviewer will inspect afterward. A redirect repair can be checked at the old and new URLs. A service fact correction can be checked against the approved policy and dependent pages. A clearer preparation section can be reviewed by asking someone unfamiliar with the draft to identify what the customer needs to bring.

Some opportunities are experiments rather than repairs. Label them accordingly and record the observation plan before implementation. If the available data cannot distinguish a result, narrow the question or choose a more observable intervention. Then nobody calls a fix a win just because the task got done, or drops good work because an unrelated number dipped. Verification should match the specific problem the recommendation was intended to address.

The audit should state what can be addressed now, what requires more evidence, and what does not justify action. Include a clear handoff for implementation and a reasonable verification method. Avoid automatic prescriptions to rebuild everything or publish a fixed number of pages.

Request a scoped AI SEO review from Trojan Digital Marketing with the service, URLs, and business question you want examined. The best starting deliverable is a prioritized set of defensible actions with transparent limits.