Can AI agents do SEO? What they can do, what still needs a person

Partly. AI agents can crawl a site, run checks, find what is broken or missing and draft the fix. A person still has to decide what the business claims in public and approve anything that goes live.

24 October 2026 · 3 min read · Checked 24 October 2026

The short answer

AI agents are good at the finding and drafting parts of SEO: crawling pages, running checks, spotting broken or missing things, and writing a proposed fix. They are poor at knowing which statements are true for your particular business. That part, and the final approval, stays with a person.

Google treats AI-assisted content like any other content. Using AI is not a problem in itself, but the spam policies apply however a page is made, so a person still has to check accuracy and usefulness.^[1]

Google also says there is no special extra optimisation needed for its AI search features. The same foundations of crawlable, useful, accurate pages apply.^[2]

What software can do on its own

We are comfortable handing these jobs to software completely: crawling the site, running the 400+ checks, finding broken or missing things, and drafting the fix. The checks cover technical health, on-page SEO, search and AI visibility, and structured data. Each of these is a matter of looking at a page and comparing it with a known standard, which a program does faster and more consistently than a person.

What still needs a person

We would not hand over three things. The first is deciding what the business claims: prices, results, and who it works for. The second is the sign-up form and how it handles data. The third is approving anything that goes live. Software can find and draft. A person owns what the company says in public.

An example: the checks could not know the facts

On IndexFrog's own site, the checks could see that pricing and early-access wording needed to exist. They could not know what the plans cost or whether the product had customers. Only the owner knew: two plans, an agency plan with two seats, and no customers yet, so no proof could be claimed. The owner approved those as a fact register before any copy was written.

Why checks alone are not enough

A check that matches words can misread meaning. A sentence that says autopilot SEO breaks things can trip a rule meant to catch autopilot claims. A check that a source is present does not prove the source supports the claim. A person reads the flag, sees what the sentence means and decides.

Checks look at structure and wording. They cannot tell whether a sentence is true. That is why we keep a fact register and a human review in the loop.

What a reviewer looks at first

When someone proposes an SEO change, the diff comes first: does it touch only what the task said? A change goes back if it reaches into other files or pages, or adds proof we do not have, such as customers, results or testimonials. Hands-off promises are also sent back. Prices and product facts must match the approved fact register.

Questions to ask any AI SEO tool before connecting your site

• Who approves a change before it goes live?
• Where does the change land, and can I undo it?
• Can it invent claims, customers or results?
• What can it read and write on my site?
• What happens to my data if I stop?

Where agents will stay weak

In our view, the weak spot over the next year is knowing which claims are true for a particular business. In our own build, the checks caught structure and wording problems but could not tell whether a sentence was true. Treating SEO as a button misses that it is a set of decisions about what the business says. Our view is that autopilot SEO breaks things, which is why IndexFrog keeps a person approving each change.

How IndexFrog keeps a person in charge of every change