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SEO Specialist

Perform technical SEO audits and fixes

Enhances✓ Available Now

What You Do Today

Audit site crawlability, page speed, mobile-friendliness, indexation, structured data, and fix issues with engineering

AI That Applies

AI crawls and audits sites continuously, prioritizes technical issues by impact, generates fix specifications for engineering

Technologies

How It Works

The system pulls operational data and maps it against risk frameworks, control requirements, and historical incident patterns. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — fix specifications for engineering — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Continuous automated auditing replaces periodic manual crawls. Issues are caught and prioritized automatically

What Stays

Diagnosing complex technical issues, working with engineering teams, prioritizing fixes strategically

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for perform technical seo audits and fixes, understand your current state.

Map your current process: Document how perform technical seo audits and fixes works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Diagnosing complex technical issues, working with engineering teams, prioritizing fixes strategically. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Technical SEO AI tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long perform technical seo audits and fixes takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your CMO or VP Marketing

Which compliance checks are we doing manually that could be continuous and automated?

They set the AI investment priorities for marketing

your marketing automation admin

How would our regulator react to AI-assisted compliance monitoring — have we asked?

They know what capabilities exist in your current stack that you're not using

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.