Your AI can already be an SEO agent. Give it your real data.

An SEO agent is an AI model that works through SEO tasks in steps: it pulls data, reads it, decides what matters and comes back with a plan, calling tools along the way instead of waiting for a new prompt at every step. The model does the reasoning. The tools decide what it can actually see, which is why an agent without your Search Console can only guess.

No. The agent is Claude, ChatGPT or whichever MCP client you already use. Murkuz is the connector that hands it 32 tools for reading your own Search Console, Google Analytics 4 and Bing Webmaster Tools data, so its answers rest on your numbers.

Here is a real one. On 9 October 2026 we asked which queries were sitting just off page one for testimonials.ltd, one of our own sites, over the last 28 days. Live_Quick_Wins found eight queries with more than 100 impressions. The biggest was "google review link generator": 2,602 impressions, 12 clicks, average position 10.5. Next came "free google review link generator" at 1,480 impressions and position 9.1, and "free google review generator" at 748 impressions and position 8.2. Every row came back with the property and the 28-day window attached, so the obvious next question was how the page's title and opening line up against those three phrases.

Roughly three. Content agents, such as the agent templates on Relevance AI, plan and draft content from a keyword or a URL, and some publish it to a CMS. Autoblogging agents, such as The SEO Agent, plan, write and publish posts on a schedule once you approve them. The third kind is the general model you already use, Claude or ChatGPT, given tools that read your own search data, which is what Murkuz provides. The first two write for you. The third tells you what is happening on your sites and leaves the writing and publishing decisions with you.

Yes, for writing, explaining and planning. On its own it cannot see your rankings, clicks or impressions, so anything it says about your site is general advice. Connected to Murkuz, ChatGPT reads your real Search Console and Analytics rows and can tell you which pages lost clicks and which queries sit just off page one.

For SEO on your own sites, the model matters less than what it can see. Claude and ChatGPT read the same 32 tools through Murkuz, Claude Code and Cursor suit people who already work in an editor, and any other MCP client works too. Pick the one whose answers you like reading. Your connected sites stay exactly as they are if you switch later.

No. Murkuz reads Search Console, Analytics and Bing Webmaster Tools and hands the rows to your agent. The agent can draft a new title or a section rewrite in the chat, and you or your team publish it. The only write Murkuz can make is submitting a sitemap to Search Console.

The reasoning part works well. What lets most of them down is the data. An agent reading your real rows can name the page that lost clicks and the queries behind it, while one without them writes a confident checklist that would fit any site. You still decide what to change, because the agent does not know your product, your margins or what your readers trust.

Connect your sites in the Murkuz app first, then add https://murkuz.com/mcp as a connector in Claude or ChatGPT and approve it. In Claude Code, Cursor and other MCP clients you add the same URL as a remote MCP server. The MCP server setup page on this site has the exact steps for each client.

Murkuz reaches your data through the official Google and Bing APIs, with your own permissions. Reading is all it does with your properties, apart from one action you can ask for: submitting a sitemap to Search Console. It never asks for a password, it cannot see a property you have not connected, and you can revoke Google access from your Google account at any time.

For a site you run yourself, yes. The agent does the pulling and sorting that used to eat an afternoon, and you make the calls: which page to fix first, what to rewrite, what to leave alone. Murkuz covers the data, and the decisions stay yours.

You will see it called agentic SEO when an AI model does the work in steps, and GEO (generative engine optimization) or AEO (answer engine optimization) when the goal is to show up inside AI answers. The names are new. The data underneath is still your Search Console, Analytics and Bing.

No. People still type queries into Google and Bing, and AI answers still cite web pages, so the work has changed shape rather than gone away. You can check it on your own site: ask your agent how many impressions your pages earned last month and which queries brought them.

SEO consultants and agencies usually charge by the hour, by the project or as a monthly retainer, and the price climbs with the number of sites, the competition in your market and how much writing and link work is included. An agent with your data does not replace the judgement you would pay an expert for. It replaces the exporting, sorting and first-pass analysis, which is often the part a small team cannot afford to hand out.

Every plan starts with a 7-day free trial, card required. Plans differ on how many sites you connect and how many research credits you get each month, never on which tools answer, and reading your own data is never metered. The pricing page has the current numbers.