AI SEO: from audit to shipped fix, one agent

Every SEO tool can find your problems. The SEO expert fixes them — rewriting titles, adding schema, restructuring internal links, drafting content — and stages every change for your approval before it ships.

The SEO industry runs on reports. Crawlers export issues, dashboards track rankings, and the actual work — the four hundred title tags, the missing schema, the orphaned pages — lands back on whoever has admin access and a free afternoon. WorkDaddy’s SEO expert closes the gap between finding and fixing. It crawls your site the way an engine does, builds a prioritized backlog, and then ships the fixes through the Builder agent as staged, reviewable changes. It works the same whether your traffic goal is e-commerce revenue, B2B inquiries, or SaaS signups.

Technical SEO, actually done

The unglamorous foundation — crawlability, canonicals, sitemaps, redirects, index coverage, page speed — is where agents shine, because the work is precise, repetitive, and verifiable.

  • Full-site crawls with issues turned into scoped fix tasks, not spreadsheet rows

  • Canonical, hreflang, and redirect hygiene maintained continuously

  • XML sitemaps and robots rules kept in sync with the site as it changes

  • Core Web Vitals flags routed to the Builder agent as concrete code changes

On-page and content work at scale

Titles, meta descriptions, heading structure, and internal links across hundreds or thousands of pages are exactly the work teams postpone forever. The SEO expert proposes them as batched diffs — fifty collection page titles at a time, each mapped to the query data that justifies it — and drafts new content where gaps exist: comparison pages, buying guides, FAQ sections. Search Console data feeds the loop, so the backlog is ranked by striking-distance opportunity rather than gut feel.

One loop with GEO

Search no longer ends at ten blue links — AI engines answer buying questions directly, citing sources they trust. The SEO expert works alongside the GEO expert so every content and schema decision serves both scoreboards: Google rankings today, AI citations tomorrow. If AI visibility is your priority, see the dedicated GEO solution.

How it works

01

Connect site and Search Console

The SEO expert crawls your site and pulls query data, then builds a prioritized backlog ranked by traffic opportunity and effort.

02

Review the plan

You see the backlog with reasoning — what to fix first and why. Adjust priorities or exclude sections before any work starts.

03

Approve staged fixes

Fixes arrive as batched, reviewable changes — titles, schema, links, content drafts. Approve, edit, or reject each batch.

04

Watch the loop tighten

Rankings and clicks feed back into the backlog weekly. Shipped changes are measured, and the next batch is prioritized by what actually moved.

What you get

  • A continuously refreshed SEO backlog ranked by opportunity, not alphabetical crawl order

  • Technical fixes — canonicals, sitemaps, redirects, speed — shipped and verified

  • On-page changes across hundreds of pages delivered as reviewable batches

  • Striking-distance keywords turned into content drafts mapped to real queries

  • Weekly movement reports connecting shipped changes to ranking and click changes

  • An audit log of every SEO change with the rationale attached

Frequently asked questions

How is this different from an SEO tool like Ahrefs or Semrush?

Those tools find and track; they do not fix. The SEO expert uses similar signals but its output is shipped changes — staged edits and pull requests you approve — rather than reports. It closes the loop the tools leave open.

Does this work for non-e-commerce sites?

Yes. The workflow is identical for B2B inquiry sites, SaaS marketing sites, and content properties — only the conversion goal the backlog optimizes toward changes.

Will it write content that sounds like my brand?

Content ships draft-first: you review and edit everything before it publishes, and the expert calibrates to your edits over time. You can also codify voice rules as a skill it must follow.

Can it handle large sites?

Yes — batching is the point. Changes across thousands of pages arrive as reviewable batches with consistent logic, which is exactly the work that is impractical manually.

Put the team to work on your store

Connect your storefront, analytics, and email stack, set a goal, and let the agents run the work end to end. Start on the free plan with your own model key.