AI SEO agent: the SEO jobs it can run with live data

An AI SEO agent is a language model with access to SEO data tools. It pulls keyword volume, reads search results, compares your pages with competitors and writes up what it found. That is useful work. It is also easy to do badly, because a model with no data tools will happily invent a search volume.

This post is about the version that works. It lists the SEO jobs an agent can run today against live data, shows what each one needs and costs, and says where a person still has to decide. It is for someone who already does SEO by hand and wants the repetitive half done faster.

What is an AI SEO agent?

An AI SEO agent is a model that calls SEO data endpoints on your behalf. It finds the right endpoint for a job, reads the price, runs the call and turns the rows into a table or a brief. It does not rank pages. It does the research that tells you which pages to write.

The key word is data. A chat model asked for keyword ideas gives you plausible phrases with no demand numbers. An agent with a keyword volume tool gives you the same phrases with volume and difficulty beside them, and a source for each number.

Which SEO jobs can an agent run today?

Five jobs map to real endpoints in the catalog, each with a price and an input schema.

The steps behind the last two are in the recipe pages for the keyword gap against three competitors and the competitor backlink audit. Each lists the providers and the order of calls.

How much do SEO data calls cost?

Each call has a price you can read before it runs, and keyword research is cheap because one call carries many phrases. The table reads the cheapest priced endpoints for two of these jobs from the live catalog when the page loads.

For a deeper look at how SERP prices compare, read SERP API cost: how to compare providers per call, and the live ranking is on the best SERP API page.

How does an AI SEO agent do keyword research?

It follows a loop, and the loop is where the value is. You give a topic. The agent proposes thirty to fifty phrases, asks for volume and difficulty in one call and drops the phrases with no demand. It then reads the top results for the best five and notes the page type that ranks: a guide, a list, a product page or a forum thread.

That last note decides whether to write at all. If the top results for a phrase are all product pages, an article will not win, and the agent should say so. If they are forum threads, a direct post can win. The agent tells you what the data shows, and you choose the page.

Ask for a table with the phrase, volume, difficulty, who ranks, the page type and the endpoint and time of each call. A table with no sources is a guess.

What should I review before I trust the output?

Review three things, in this order.

1. The numbers. Spot check five volumes against a second source. Volume tools disagree, and a phrase with low volume in one tool can be higher in another. A rough match is enough.
2. The page type. Open the top three results for your best phrase. If they do not look like what the agent said, the SERP check was off, so rerun it.
3. The fit. Ask whether you can honestly serve the intent. A phrase with great volume and a vendor product page on top is a trap for an article.

The agent can run the checks too, but you should read the evidence. For the AI side of search, the generative engine optimization guide covers what you can measure and what you cannot.

What does an agent change about a normal SEO week?

It moves your time. Research that took an afternoon, such as thirty phrases, volumes and the top results for the best five, becomes one prompt and a table. You spend the saved time on the part the agent cannot do: choosing the topic, reading the competing pages and writing something they do not say.

It also makes small checks affordable. Before an agent, checking the top ten results for fifty phrases was too slow to bother with, so most people checked five. Now the check is cheap and you can run it on every phrase you consider. The habit that changes is asking "who ranks, and what kind of page is it" before you write, every time.

The risk moves too. A cheap pass tempts you to write fifty pages on the strength of fifty tables. Resist it. Write one page, wait for the search engine's answer, and learn from it before you write the second.

What does a first pass cost in practice?

A first pass is a few calls: one keyword volume call for the whole list, and one search results call for each of the best five phrases. That is six calls, and the live table above shows the price of each kind. Add the model's own cost for reading and writing.

Run it once on a topic you know well. You will see where the data agrees with your own sense of the market and where it does not, and the disagreements are the interesting part. A phrase you thought was big and the data calls small is worth a second look, and so is the reverse.

Run it: a prompt for your agent

What it cannot do

• It does not rank your pages. It finds the topics and the gaps, and the content has to earn the ranking.
• It does not track rankings over time on its own. A rank tracker needs scheduled runs, not available yet, so rerun the check by hand and compare the tables.
• It does not know your site's technical problems unless you give it a crawl or a tool that provides one.
• Volume and difficulty are estimates from a provider. Two tools can disagree, and neither is the truth.
• It does not promise traffic. A good phrase is a chance, not a result.

To run this setup inside a coding agent, see Claude Code for marketing. To browse the SEO endpoints, open the public catalog.

Last checked 2026-10-03 against the live catalog. Author: Walid Boulanouar.