AI SEO & GEO: one agent for Google rankings and AI answers
Search is splitting in two. Shoppers still Google, but they also ask ChatGPT, Perplexity, and Google’s AI Overviews what to buy. WorkDaddy’s Visibility agent works both fronts — and its Builder teammate ships the fixes, with you approving every change.
Most SEO tools end at a report: a list of issues, a keyword gap, a crawl export. Then the work of actually fixing titles, rewriting product copy, adding schema, and restructuring collections lands back on you. WorkDaddy closes that loop. The Visibility agent audits how your store shows up in Google and in generative engines — using real AI-visibility data from GEOly AI — then hands concrete page changes to the Builder agent, which prepares them as staged edits against your Shopify theme or headless storefront. Nothing ships until you approve it. Dashboards tell you what’s wrong; the agent ships the fix, and you stay the editor-in-chief.
Why SEO alone is no longer enough
A growing share of buying research now happens inside AI answers instead of ten blue links. When someone asks ChatGPT for the best option in your category, the engines cite sources they can parse and trust: clear product facts, structured data, comparison content, and consistent entity information about your brand. Generative engine optimization (GEO) is the practice of earning those citations. It overlaps with classic SEO but is not identical — a page can rank on Google and still be invisible to an answer engine that can’t extract a confident claim from it. WorkDaddy treats Google rankings and AI citations as one visibility problem with two scoreboards, and plans work that moves both.
What the Visibility agent actually does
The Visibility agent runs a continuous loop over your store rather than a one-time audit. It draws on GEOly AI data to see which prompts and queries mention your brand, which competitors get cited instead, and which of your pages the engines actually read. From that it builds a prioritized backlog of changes, each one scoped tightly enough to review in minutes.
Technical SEO audits: crawlability, canonicals, sitemaps, index coverage, and Core Web Vitals flags routed to the Ops agent
On-page work: titles, meta descriptions, heading structure, and internal links proposed as concrete diffs
GEO work: product and brand schema, FAQ and comparison content, and answer-ready copy that engines can quote
AI visibility tracking: which engines cite you, for which prompts, and how that shifts after each shipped change
From finding to fix: the Builder ships it
This is the part most tools skip. When the Visibility agent decides a collection page needs a rewritten title, a comparison section, or JSON-LD schema, it doesn’t email you a recommendation — it assigns the task to the Builder agent. Builder prepares the change against your actual storefront: a staged edit on a Shopify theme, or a pull request against a headless codebase. You see the exact before-and-after, the reasoning behind it, and the query or prompt it targets. Approve it and it ships; reject it and the agents record why, so the next proposal is better calibrated to your brand voice and merchandising judgment.
Review-first, then auto-pilot when you’re ready
Trust is earned change by change. In the beginning, every edit — down to a single meta description — waits for your approval. As you approve more of the agents’ work and the audit log builds a track record, you can loosen the reins: auto-approve low-risk changes like meta tags and schema while keeping human review on product copy and pricing pages. Auto-pilot is a dial you control per change type, not a switch you’re forced to flip. Either way, every change is logged, attributed, and reversible.
Every proposed change shows a diff, a rationale, and the target query or prompt
Approve, reject, or edit from one review queue
Scoped auto-pilot: automate the change types you trust, review the rest
Full audit log of who or what changed each page, and when
How it works
Set the goal
Tell WorkDaddy what visibility means for you — the categories you want to own on Google, the prompts where you want AI engines to cite you, the competitors to benchmark against. Connect your store and Search Console.
The agents plan and prepare the work
Visibility audits your store against Google and generative engines, builds a prioritized backlog, and hands page changes to Builder, which stages each one as a reviewable edit or pull request.
You review, then it ships
Each change arrives in your queue with a diff and a reason. Approve it and it goes live on your storefront; reject it and the agents learn your preferences. Nothing is published without you.
Loosen into auto-pilot
Once the track record earns your trust, auto-approve low-risk change types — schema, meta tags, internal links — while keeping review on anything customer-facing. Adjust the dial anytime.
What you get
A prioritized visibility backlog covering both Google rankings and AI-engine citations, refreshed continuously
On-page and technical SEO fixes shipped to your live store as reviewed changes, not left in a report
Product, FAQ, and organization schema implemented and validated across key templates
An AI visibility report showing which engines cite your brand, for which prompts, powered by GEOly AI data
Answer-ready comparison and FAQ content drafted for your review, mapped to real buyer prompts
A complete audit log of every SEO and GEO change, with the rationale attached to each one
Handled by these agents
Frequently asked questions
What is GEO, and how is it different from SEO?
GEO — generative engine optimization — is the practice of making your brand visible in AI-generated answers from engines like ChatGPT, Perplexity, and Google’s AI Overviews. Classic SEO earns rankings in a list of links; GEO earns citations inside a synthesized answer. The tactics overlap (structured data, clear product facts, authoritative content) but the scoreboards differ, so WorkDaddy tracks and works both.
Will the agent change my site without asking?
No. Every change starts as a staged edit or pull request that you review — you see the exact diff and the reasoning before anything ships. Auto-pilot exists, but it is opt-in and scoped: you choose which low-risk change types can go live without review, and you can revoke that at any time.
Where does the AI visibility data come from?
The Visibility agent uses GEOly AI data: real observations of which brands generative engines mention and cite for commercially relevant prompts. That grounds the agent’s GEO recommendations in measured engine behavior rather than guesses, and lets you see whether shipped changes actually move citations over time.
Does this work for headless or non-Shopify stores?
Yes. On Shopify, the Builder agent stages theme edits through the theme and admin APIs. On headless or custom stacks, it opens pull requests against your repository, so changes flow through your existing code review and deploy process. Either way, the review-first model is the same.
Keep reading
AI search visibility
Get your brand cited by ChatGPT, Perplexity, and AI Overviews.
E-commerce SEO at scale
Fix titles, schema, and internal links across thousands of pages.
Playbook: rank in AI search
A step-by-step plan for earning AI-engine citations.
GEO for e-commerce, explained
What generative engine optimization is and why it matters for stores.
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.