AI Marketing Consultant
I'm Sonia Tamayo. 20 years in growth, most of it inside WPP, Publicis and Dentsu, and now I build the AI systems that do the work and I run them for agencies and brands.
I only take on work I actually think will succeed. If I don't believe I can help you, I'll tell you that on the first call.
An AI marketing consultant helps a company use AI across acquisition, content, campaigns and measurement. Most stop at advice: an audit, a roadmap, a tool list. The version worth hiring designs the system, runs it, and stays accountable for the commercial result, with senior marketing judgment on every output.
What I get hired to fix
Most people who write to me have already paid for a version of this once, sometimes twice, and they arrive wanting to see the receipts before they spend again.
Money went out and nothing came back you can point to
Three agencies pitched, the decks were interchangeable, and what came back was reach and impressions. Then you ask which part of that spend moved a sale and nobody in the room can answer it.
Tools piled up and there's no system underneath
A subscription for every slice of the job and none of them talk to each other, so the same research gets redone every quarter and whatever was learned in March is gone by June.
The content pipeline runs and demand doesn't move
More posts, more video, more pages, and the production side is genuinely fine. What's missing is anything connecting what gets published to the thing it was supposed to move.
Nobody owns the quality of what the AI puts out
The work carrying real budget is creator partnerships, campaign spend + content at volume, which is exactly where an AI mistake gets expensive, and it's usually the part nobody senior reads before it ships.
AI search changed how you get found, and every pitch to fix it sells a score
Someone shows you a visibility number and can't explain how it's calculated or where it came from. What you need to know is whether the answer engines are reading your pages and quoting them, query by query, against a list you can actually see.
Who this is for
You keep the client, I run the engine
Most of the agencies I talk to want a capability they can sell next month without hiring for it or spending two quarters building it. So I run the system behind your work, white-label, under your name, and you walk into the review with something the client can act on.
- → Added capability, no hiring and no build
- → White-label, under your brand
- → Work you can retain the account with
You want the outcome without building the stack
Building an AI stack in-house means staffing it and then maintaining it once the novelty wears off, which is where most of them quietly die. I read the market, build the work, run the campaigns and tell you what actually happened.
- → Signals, creation, campaigns, measurement
- → One senior operator on the account
- → You get the result and nothing to maintain
Strategy or implementation
Both, and yes, you can buy the advice on its own. It's the smaller half of the work though, and I'd rather tell you that up front.
The reason I do both is the handover. Strategy gets written by one set of people and executed by another, and the thinking leaks out somewhere in the middle... here the person who set it is the person running it, so there's nothing to lose in translation.
What stays with you is the outcome, the reporting and every decision that carries budget. I don't hold the keys to anything.
What you can buy today
Everything here is something I built and ran on my own brand or on live client accounts before it went on this page. Each one names what you actually walk away holding.
Industry, competitor and audience insights
A written read on your market, your competitors and the audience, ranked by what's worth doing next. It comes out of the same market, competitor and category research I run on my own brand, plus a synthetic focus group, so you get the objections and the reasons to buy that 60 simulated buyers raised on their own, grounded in census-representative consumer profiles. It survives being forwarded to a client or a board, which is usually the point of it.
Creator Validator
Independent due diligence on a creator before you commit budget. The report reads their real content and their real audience, then I give the verdict myself: approve, caution, or cut, with the reasoning written in language you can hand straight to a client. Whichever way the call goes, it holds up in the room.
Campaign management, with the changes written down
Search and social campaigns across Meta and Google, run end to end rather than advised on. Every change goes into a log with what it was before, what it is now, and why it was made, so three months later you can still reconstruct the reasoning behind a budget or an audience decision instead of guessing at it.
Reporting built on your KPIs
GA4, Search Console and campaign data pulled into one recurring report, with the KPIs defined around how your business actually makes money. If one product line pays back over 36 months and another over 18, the targets reflect that rather than a template that reports sessions and bounce rate to everybody.
Content, video and scripts
Viral Scripts ships ready-to-shoot short-form scripts built from live viral data in your niche. Voice to Video takes a voice memo through to a finished cinematic reel. The avatar pipeline keeps the same face and style in every scene, so you keep producing on-brand video without booking another shoot. A human reads all of it before it goes out.
AI-ready SEO and answer-engine visibility
How your site actually reads to search engines and to the AI answers, plus a prioritised plan and the fixed query set the work gets measured against afterwards. It runs on the same SEO agent that audits, plans, writes and tracks on my own site. This page came out of it.
All of it is sold as an outcome rather than a seat in a piece of software, and an engagement can be a single one-off if what you need is one decision de-risked before committing to anything bigger.
How the work runs
Detect, create, scale, running as one loop rather than three departments handing folders to each other. This is the part you're actually buying when you hire an AI growth consultant, so it's worth showing what happens at each stage.
Where the reading happens
Category and creator intelligence, synthetic focus groups when we need to know what buyers object to, GA4 and Search Console read at source rather than screenshotted into a slide, and live demand from Keyword Planner + Trends + public conversation.
Where the work gets made
Briefs run through the content intelligence engine, which checks every claim against a facts file and refuses to write what it can't source. Then pages, content, video, structured data and the short answer paragraphs the AI engines quote from.
Where it goes out and gets read
SEO and answer-engine visibility, search and social campaigns managed on Meta and Google with every change logged, the outbound system that spots buying signals and drafts the emails for approval before they go, and then the measurement that decides what changes next round.
The loop runs weekly, on the same numbers every time: rankings and impressions by query out of Search Console, conversions and behaviour out of GA4, campaign spend against what it produced, and a run through the AI answers on a fixed list of queries to see whose sources are being quoted. All of it read against the KPIs that matter to your business rather than a standard dashboard. Something changes when a number moves against the plan, and the reason it changed gets written down so we can tell later whether the call was right.
What independent means here
Plenty of people arrive here searching for an independent growth consultant, which is the older label for the same job, and the independence is usually the part they care about. Nobody pays me to recommend anything. That matters most on the calls where the honest answer costs me the bigger engagement.
An agency sells hours across a team, software sells you a seat and leaves you to drive it, and a generalist AI advisor sells a roadmap and hands the running of it back to you. One operator with a system keeps the judgment and the execution in the same place.
Where I come from
20 years in growth and marketing, about half of it inside WPP, Publicis and Dentsu, at MindShare, Starcom, Carat and iProspect, running annual media budgets up to €20M in the Spanish market. Independent since then, building and running the systems below.
Everything here runs on my own brand first
SoniaIA is the demo. Nothing gets sold before it has run on my own brand for a while, and this page came out of the same SEO agent I would point at yours.
- The tools are built here and running, so Creator Validator takes real payments and ships human-reviewed verdicts, the SEO agent audits and plans and writes and tracks in one run with a human approving it, the content intelligence engine checks every brief against a facts file before a word gets written, the outbound system spots buying signals and drafts the emails for me to approve, and the X analyzer pulls live viral tweets apart to work out why one of them travelled.
- Client campaigns are running on Meta and Google right now, and every change to them sits in a database with the before, the after and the reason it was made, dated, which means a decision taken three months ago can still be explained rather than reconstructed from memory.
- The research is published with the method attached, so the fake follower market report shows the worldwide Keyword Planner pull and 20 years of Google Trends behind its finding of 2,235,140 monthly searches for buying fake followers against 185,940 for detecting them.
- The sample sizes are in the open too, because the influencer campaign checklist was built from July 2026 search data, 4,801 public Reddit posts and a 60-buyer synthetic focus group grounded in census-representative consumer profiles.
- AI visibility gets measured every week, which means the same 8 groups of queries get run, the AI answers get read and every source they quote goes into a database, 362 rows so far across four runs since 2 July 2026. That's how you find out whether an answer engine is reading your page or somebody else's.
- The experiments went up while I was still running them, dated as they happened: the agentic content experiment on 8 January 2026, day two of it on the 9th, and the memory setup behind the assistant on 20 February 2026.
How an engagement starts
Three shapes
The whole system, a single module, or a block of advisory time when what you need is a second senior opinion on a call you're about to make.
One-off is a real option
Plenty of people start by buying one module to de-risk one decision, and nothing is attached to it afterwards if that's where it ends.
Remote worldwide, based in Madrid
Time zones and travel haven't decided anything in years, so where you are doesn't really come into it.
Scope follows how much of the loop you want run, how fast you want it, and how much stays with your team, and all of that gets agreed on a call before anything else does.
Questions I get asked
What is an AI marketing consultant?
Someone who helps a company use AI across acquisition, content, campaigns and measurement. Most of the category stops at advice, so you get an audit and a roadmap and the work goes back to your team. The version worth hiring builds the thing and then runs it.
What does an AI growth consultant actually do?
Same job, different label, and in my case it's four things that feed each other. Reading the market and the audience with live data, building the content and the pages and the campaigns, running distribution and search, then measuring what happened and changing the plan. I read the output before it ships.
What is the difference between an AI marketing consultant and an AI marketing agency?
An agency sells hours across a team, and the people who pitched you are rarely the people doing the work. A consultant sells judgment. What I do is both, so the person who decided the plan is the same one running it and answering for the result.
Can I hire an AI marketing consultant online?
Yes, the work is remote worldwide and I'm based in Madrid, so travel and time zones don't really decide anything. It starts with a call about what you're working on and where you want to take it. If it fits, we set scope and pick the first piece.
When should a company hire an AI marketing consultant?
Usually when spend went out and nothing measurable came back, or the tools piled up with no system underneath, or content volume rose while demand sat flat. The other trigger is creator and campaign work carrying real budget with nobody senior checking the AI output.
How much does an AI marketing consultant cost?
It depends on how much of the loop you want run, how fast you want it, and how much stays with your team. It goes from one module bought to de-risk a single decision up to designing and operating the whole thing. Scope gets agreed on a call first.
What does an AI growth system include?
Three stages running as one loop. Detect is market, category and creator intelligence plus GA4 and Search Console. Create is briefs, pages, content, video and structured data. Scale is SEO and answer-engine visibility, managed campaigns, outbound and distribution, with measurement feeding the next round.
How do you measure whether the system is working?
Weekly, on the same numbers each time. Rankings and impressions by query from Search Console, conversions and behaviour from GA4, campaign spend against what it produced, and a run through the AI answers on a fixed list of queries to see which sources they quote.
Tell me what you're working on
What you're working on, where you want to take it, and what's already been tried and didn't land. If it fits, we talk scope.
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