ai seo agency · done for you
An AI SEO agency that runs itself, checked by rival models
IT Master researches, writes, checks and publishes SEO articles straight to your site. The model that writes is never the model that checks. You pay per published article, not a monthly retainer.
reviewed 2026-09-02 · by the IT Master editorial team · how we check facts
What an AI SEO agency is
An AI SEO agency is an agency's workflow run as software. The work a human team spreads across a month — keyword research, briefs, drafting, editing, publishing, reporting — runs as one pipeline that starts from search demand and ends with a live URL and a Search Console reading.
IT Master is built as exactly that. For every article it pulls topics from real queries (DataForSEO and your Search Console), reads the pages already ranking, reads your own product data and support answers, writes a draft, then hands that draft to models from a different vendor to check before anything publishes.
The difference from an AI writing tool is scope. A writing tool gives you a draft and leaves research, checking, publishing and measurement to you. An agency, human or software, owns the whole loop and answers for what goes live. The difference from a human agency is the cost model: no retainer and no monthly meeting, with spend following what actually shipped. The full pipeline is laid out in how it works.
An AI SEO agency is an SEO agency's workflow — research, writing, editorial checks, publishing and measurement — run as autonomous software and paid per article rather than by retainer.
What the engine does, end to end
The same loop runs for every site the engine manages, once per article.
- Discovery. It reads the queries your site already appears for in Search Console, pulls volume and People Also Ask data from DataForSEO, and picks topics you can realistically rank for.
- Research. It fetches the pages currently ranking for each topic, mines forum threads for the questions buyers actually ask, and pulls your first-party data — product specifications, datasheets, support Q&A — where it exists.
- Writing. A Claude model writes the outline, then the article, with a hero image, FAQ and JSON-LD schema.
- Checking. Gemini and GPT models fact-check the draft, score its novelty against the competitors it read, critique E-E-A-T and scan for AI tells. Failures go back for revision, up to three rounds.
- Publishing. Passing articles land on your site with internal links resolved, and IndexNow pings the search engines.
- Measurement. A nightly job reads Search Console, checks whether GPT and Perplexity cite your pages, and queues refreshes for content that is decaying.
Articles arrive as WordPress posts, through the @itmaster/sdk for Next.js, a REST pull feed or a signed webhook to any endpoint. Setup details are in the docs.
Where humans stay in the loop
Autonomous does not mean unsupervised. Someone still owns what a site publishes. That seat is the editor-in-chief: one named person whose job is strategy rather than daily operations — which topic clusters to build, which claims the site must never make, what the brand sounds like, and when a page comes down. At IT Master that person is Rodd Azad, a software engineer and the founder.
Those decisions become configuration. A glossary of house terms, a list of facts the writer must never state, a brand-voice sample and a set of target queries feed every writing stage and are enforced deterministically, not left to a prompt. The seat writes the rules once; the pipeline applies them to every article.
There are also things software does not do well, and we say so. A human agency still wins on strategy that depends on knowing your market personally, on brand positioning, on digital PR and link outreach, and on the awkward conversation about what your site should stop doing. IT Master handles the volume layer — researched, checked, published articles — and leaves those judgement calls to people. The controls are post-hoc: take an article down, pause a site, or switch publishing off entirely.
How quality is enforced: the gauntlet
A draft that is only ever read by the model that wrote it inherits that model's blind spots. IT Master separates the two jobs. Claude models write. Gemini and GPT models judge. The model that writes is never the model that checks.
Every draft runs four checks in parallel:
- Fact-check by a different vendor, against the research dossier and your first-party data.
- Novelty score against every competitor page the engine read — a draft that only restates the top ten does not pass.
- E-E-A-T critique for experience, expertise and specificity.
- AI-tell detection for the formulaic phrasing and hedged filler that make a page read as machine-written.
A failed check returns the draft to the writer with specific fixes, up to three rounds. A draft that still fails is rejected and is not charged at the full rate.
The pass rates are measured rather than asserted. Across 186 Standard-tier runs, 51% of drafts passed every check first time; the rest were revised or rejected. Pro-tier judges are stricter: 25% first-pass, across a small sample of 16 runs.
In IT Master's validation gauntlet the model that writes an article is never the model that checks it: Claude models write, and Gemini and GPT models fact-check the draft, score its novelty against competitors, critique E-E-A-T and test for AI tells.
How pricing differs: per article vs retainer
A human agency is usually sold as a retainer: a fixed monthly fee for a team's time, with articles as one output among reports, calls and audits. The fee is the same in a busy month and a quiet one, so the buyer carries the utilisation risk.
IT Master inverts that. You pay per published article from a prepaid balance. There is no subscription and no minimum term. If the gauntlet rejects a draft you are not charged the full rate for it, because you did not receive a finished article. Four tiers — Lite, Standard, Pro and Premium — set how much research and how strict a judging panel each article gets, so a supporting glossary entry and a cornerstone guide do not cost the same.
For transparency, here is what the engine costs us to run. Median generation cost per article: Lite $0.41, Standard $0.85, Pro $1.46 (our cost, not the customer price). Customer prices and what each tier includes are on the pricing page.
What a per-article price does not buy is a strategist's afternoon. If you need someone in your planning meeting, a retainer buys that and this does not.
Who it suits, and who it does not
It suits a site that has something to say and nobody to say it at volume: an ecommerce catalogue of products and datasheets that nobody has turned into buying guides, a trades or B2B business whose support inbox answers the same questions over and over, a SaaS with a documentation set and an empty blog, an agency that wants to sell content at a margin without hiring writers. Live tenants today include cctvline.co.uk and cctvmaster.co.uk (UK CCTV trade and retail), eurocctv.co.uk (UK CCTV trade) and 1xai.ir (AI developer tools, Persian).
It suits less well:
- A brand whose entire value is one author's personal voice.
- A site with no first-party data and no search demand. The engine grounds articles in what you know and what people search for; with neither it has nothing to work with.
- A business that needs links, PR or a rebrand before it needs content. Do those first.
- Anyone expecting guaranteed rankings. Nobody honest sells those.
If you are unsure which case you are, the free site check reads your site and tells you.
Start with a free site check
The fastest way to find out whether this works for your site is to let the engine read it. The free site check reads your pages and reports where the gaps are, at no cost.
If you want to see where you stand in AI search first, the AI visibility checker and the AEO checker look at whether assistants cite you and how quotable your pages are, and the AI crawler check confirms that AI crawlers can reach those pages at all.
When you are ready, connect a site. WordPress users install the plugin and paste one key; articles arrive as posts with the Yoast and Rank Math fields filled. Next.js sites use the SDK. Anything else takes the REST feed or the signed webhook, we set up Shopify and Webflow on request, and Wix or Squarespace sites get a copy-paste queue instead. Top up a balance, choose a tier, and the first researched, checked article is on its way. You pay per published article — see pricing.
questions people ask
What is an AI SEO agency?
An AI SEO agency is the full workflow of an SEO agency — topic research, competitor and first-party research, writing, editorial checking, publishing and measurement — run as autonomous software instead of by a team on a retainer. The distinction from an AI writing tool is ownership of the whole loop: an agency is accountable for what goes live, not just for producing a draft. IT Master is built this way, with the added rule that the models which check an article are from a different vendor than the model that wrote it.
How is this different from hiring a human SEO agency?
Cost model and scope. The engine researches, writes, checks and publishes without a person in the queue, and you pay per published article rather than a monthly fee for a team's time. A human agency still does some things better: strategy that depends on knowing your market personally, brand positioning, digital PR and link outreach, and honest advice about what your site should stop doing. Many buyers keep a strategist and hand the volume layer to software. Whoever holds the editor-in-chief seat on your side sets the rules the pipeline then enforces on every draft.
Which website platforms can it publish to?
WordPress is the shortest path: install the plugin, paste one key, and articles arrive as posts with the Yoast or Rank Math fields already filled. Next.js sites use the @itmaster/sdk. Anything else can pull finished articles from a REST feed or receive them as a signed push webhook at an endpoint you choose, which covers most custom and headless stacks. We set up Shopify and Webflow on request. Wix and Squarespace sites get a copy-paste queue instead, so a person posts the article rather than the engine.
Is AI-written content safe to publish?
We do not claim that any search engine endorses AI content, and you should distrust anyone who does. Helpful-content signals target thin, repetitive, unoriginal pages regardless of how they were produced. That is why every draft is checked by models from a different vendor for facts, novelty against the pages already ranking, E-E-A-T and AI tells, with up to three revision rounds. Articles are also grounded in your own first-party data, which is the part a competitor cannot copy.
How much does an AI SEO agency cost?
You pay per published article from a prepaid balance. There is no subscription and no minimum term, and a draft that fails the checks is not charged at the full rate. Four tiers — Lite, Standard, Pro and Premium — trade research depth and judging strictness against price, so a short supporting article and a cornerstone guide cost different amounts. Exact prices per tier are on the pricing page, so you can work out a monthly figure from the volume you want.
Do I have to approve every article before it publishes?
No. An article that passes the validation gauntlet publishes automatically to your connected site, with schema, internal links, hero image and FAQ in place, and IndexNow pings the search engines. A draft that fails does not publish at all. The human controls sit after publication: take an article down, pause a site and resume it, or switch publishing off entirely. Nothing waits in an approval queue, because a queue nobody clears is how a content programme quietly stops.
What does the editor-in-chief actually do?
Strategy, not daily operations. The editor-in-chief is the named person accountable for what a site publishes: they decide which topic clusters to build, which claims the site must never make, what the brand sounds like, and when a page should come down. Those decisions are written once as configuration and enforced on every article, so nobody is reading drafts at midnight. At IT Master the seat is held by Rodd Azad, a software engineer and the founder of IT Master and code-nest.dev.
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