Assistant workflows
- ChatGPT and custom GPT workflows
- Claude projects and content review
- Gemini-assisted research
- Microsoft Copilot workflows
- Internal retrieval and knowledge bases
- Human approval and quality gates
Most SEO work is not creative. It is checking whether something changed, and that part does not need a person.
Three stages. The return is not hours saved, it is that slow silent failures stop going unnoticed.
Indexation checks, rank monitoring, decay reports, competitor diffs. All necessary, and almost entirely mechanical.
Nobody runs a manual audit every morning, which is why regressions sit undiscovered for weeks.
Scheduled checks that stay silent until something genuinely changes, then tell you exactly what and where. Every decision stays yours.
Most SEO work is repetitive. Auditing pages, checking rankings, finding gaps, briefing content, pulling reports. It is necessary, it takes hours every week, and almost none of it requires human judgement.
That is what I automate. I build custom tools using ChatGPT and Claude that do the repetitive part of SEO on autopilot, so the hours go back into the work that actually needs a person.
This is not a subscription to someone else’s software. It is a tool built around how your business works, that you own.
A tool that crawls your site on a schedule, checks the things that matter, and sends you a plain-English list of what to fix. Not a 300-row spreadsheet nobody opens.
Feed it a keyword, get back a brief built from what is actually ranking: the questions to answer, the entities to cover, the structure to follow. Optionally a first draft for your writer to edit rather than start from nothing.
Tools that pull your keyword data, compare it against competitors, and surface the gaps worth acting on. The Keyword Golden Ratio method can be built straight into this.
Something that reads your whole site, understands what each page is about, and tells you which pages should link to which. This is one of the highest-return things most sites never get around to.
Titles, descriptions and structured data across hundreds of pages, generated against rules you set and reviewed before anything goes live. This is where large sites recover weeks of work.
Pulls from Search Console and your rank data, writes the summary, sends it. If you run an agency or report to a boss, this alone can save a day a month.
Tracks whether ChatGPT, Perplexity and Google’s AI Overviews are citing you for the questions that matter. See AI GEO for why that increasingly matters.
Plenty of SEO tools have bolted AI onto their product. They are fine, and I use several. But they are built for the average customer, which means they are built for nobody in particular.
A custom build knows your niche, your tone, your competitors and your reporting format. It does the specific thing you do every week rather than a generic version of it. And you are not paying per seat forever for a feature you use twice a month.
You own the tool, the prompts and the documentation. That is the point of building rather than renting, and it means the relationship does not have to continue for the tool to keep working.
In practice most people change two things in the first month: the wording of the output, so it reads the way they write, and the alerting threshold, because the first version is usually either too noisy or too quiet. Both are documented as the things you will want to adjust.
If your workflow changes materially later, you can extend it yourself, hand it to a developer, or come back to me. None of those routes are locked.
Automation has a boundary. Cross it and you get a machine that produces damage quickly.
So before the pricing, here is where I stop.
I will build you a tool that drafts, researches, briefs and structures. I will not build one that publishes straight to a live site.
Not because the writing is always bad. Because the failure mode is silent. A tool producing subtly wrong content for six weeks does more harm than one that breaks loudly on day one, and nobody notices until the rankings go.
Deciding whether two pages should be merged. Whether a topic is worth entering. Whether a client’s claim is defensible. These look automatable and are not, because the right answer depends on context a tool cannot see.
I automate the gathering. You keep the deciding.
Automated outreach produces exactly the kind of links that cost more than they return. This stays manual and selective, and it is not a limitation I am planning to remove.
If a task genuinely happens rarely, automating it costs more than doing it by hand. I will tell you when that is the case rather than build it and invoice you.
This is the one people push hardest on. If the underlying approach is wrong, automation does not fix it, it industrialises it. Producing four hundred thin pages a month is worse than producing four, not better.
I have turned down builds for exactly this reason. Usually the honest answer is that the process needs fixing before anything gets automated, and that conversation is cheaper than the build would have been.
There is a gap between people who understand SEO and people who can build software. Most of this field sits on one side of it.
SEOs buy tools and use them roughly as intended. Developers build tools without knowing which outputs actually matter. What you usually end up with is something impressive that solves a problem you did not have.
I do both sides, which mainly means I build smaller things than people expect. The useful tool is rarely the ambitious one. It is the boring one that removes four hours a week, runs without supervision, and does not need me to keep it alive.
And you own it at the end. The code is yours, it runs on your keys, and it does not stop working if you stop talking to me. I have no interest in building you a dependency.
What you need |
Starting at |
|---|---|
Custom automation build |
From $1,499 |
Multiple tools or an agency workflow |
Scoped on a call |
Ongoing semantic SEO alongside it |
$80/mo (Bronze) · $99/mo (Silver) · $199/mo (Gold) |
Price depends on how many tools and how deep the integrations go. I quote against your actual workflow rather than a package.
No. You get something you can run, plus documentation for changing the parts you will want to change, like the prompts and the output format.
Badly used, yes. Google does not object to AI content, it objects to unhelpful content. My tools are built to produce briefs and drafts for a human to finish, not to publish unattended. Anyone promising hands-off publishing at scale is selling you a future problem.
You own it, so you can change it. That is the main advantage over renting someone else’s tool.
Often not, and I will tell you honestly. If you publish twice a month, automation saves you very little. It pays off when the same task happens every week.
Whatever suits your setup. Sometimes a scheduled script, sometimes a workflow tool, occasionally a small service. I choose based on what you can maintain rather than what is fashionable.
Prompts sometimes need adjusting when a provider updates a model. The documentation covers where those live so a change is a small edit rather than a rebuild.
Usually yes. Most builds read from Search Console and whatever rank tracking you already pay for rather than replacing them.
Indexation monitoring, almost always. It is the cheapest to build and it catches the category of problem that stays invisible until it is expensive.

These are meaningful sub-services and use cases, not separate thin pages. The exact mix is chosen after checking your audience, website and measurable opportunity.
A practical note: coverage does not mean guaranteed rankings on every platform or query. The work improves eligibility, clarity and evidence, then measures where your brand is actually discovered and cited.
A 20 minute call. I will tell you which checks are worth automating first, and which are not worth the setup.