01
AI systems & agent architecture
What it covers: Agent orchestration, Model Context Protocol servers, model routing with fallback, retrieval design, and the safety layer around it: permissions, audit trails, and kill switches.
How I work: Fail-closed from day one - we define what the system must refuse to do before we ever talk features, and what you get at the end is working software plus the reasoning behind it, not a deck.
What you end up with: Running software inside your environment, an architecture written down in language your own team can maintain, and a permission and audit model that survives a security review.
Sole engineer of a production agency platform in daily use.
02
Technical SEO
What it covers: Crawl and index diagnostics, Core Web Vitals, structured data and entity strategy, site architecture, migration protection.
How I work: My audits end in fixes - I either implement myself or pair directly with your developers, and every recommendation shows up ranked by expected impact against the effort it costs you.
What you end up with: A prioritized fix list with real effort estimates, the implementation itself or paired sessions with your engineers, and a migration plan whenever a replatform is sitting in the way.
+300% organic traffic on a full rebuild. Page-one rankings in a category the big players owned for years.
03
GEO & AI visibility
What it covers: Getting your brand into AI answers (ChatGPT, Gemini, Perplexity, AI Overviews) and measuring it honestly - sampled tracking with real confidence intervals rather than a single screenshot.
How I work: Content and entity work structured the way engines actually cite, plus a measurement layer so you know whether any of it moved. The methodology is published in full in the writing on this site.
What you end up with: A sampled baseline of where you currently appear, the entity and content work that changes it, and a measurement harness your team can keep running long after the engagement ends.
AI visibility scoring shipped in production software, method published in the writing on this site.
04
Measurement & analytics architecture
What it covers: GA4 and Tag Manager done right, warehouse-grade reporting, honest attribution, statistical rigor on anything that claims to be a KPI.
How I work: One tracking plan and one source of truth, feeding executive reporting a CFO can actually interrogate. If a number can't survive a hard question, it doesn't ship.
What you end up with: A documented tracking plan, the implementation behind it, and reporting that answers the questions your leadership actually asks rather than the ones the tool happens to default to.
Unified reporting across three business units. Confidence-interval scoring shipped in production software.
05
Growth strategy & paid media
What it covers: Full-funnel programs across search, shopping, social, and lifecycle, with CRO built in from the start.
How I work: Targets get set in revenue rather than engagement metrics, and I run a weekly optimization cadence with a monthly narrative the executive team will actually read.
What you end up with: A channel plan tied to revenue targets, the campaigns built and running against it, and a reporting rhythm that makes the next decision obvious instead of debatable.
$12M to $25M in 18 months. Up to 25 client accounts at once at Equiturn.
06
Generative AI production pipelines
What it covers: Diffusion pipelines, checkpoint training and finetuning, ComfyUI tooling, and workflow design that makes generative output usable in a real content operation.
How I work: I train and run models on my own hardware, so the recommendations come from work I have paid for and run myself.
What you end up with: A pipeline your team can actually operate day to day, trained weights wherever a finetune is genuinely warranted, and honest guidance about the places generative output still costs more than it saves.
Nepotism: my released FLUX model, 35K+ downloads across Civitai, SeaArt, and PromptHero. Spoke on it at the Symposium on Visual GenAI.
Whether this is a fit
The engagements that go well tend to share a shape: there's a
decision or a system that matters, the team is capable but
missing one specific kind of senior judgment, and somebody
internal actually wants the thing to work. I'm at my most
useful when the problem crosses a boundary that usually
forces a hand-off, like measurement design that turns into
engineering, or an SEO rebuild that turns into an argument
about the platform underneath it.
I'm the wrong call for a few situations and would rather say
so early. If you need volume execution across many channels,
a team of people rather than one, or an agency to own a
function permanently, there are firms built for exactly that
and I'd point you toward one. The same goes for work where
the outcome is already decided and what's wanted is somebody
to validate it, since the part I'm good at is the part where
the answer is still open.
Common questions about engagements
What does an engagement with Robert Galasso look like?
Every engagement is scoped and senior - we pin down the problem and the deliverable up front, I do the work myself (no junior hand-offs, no retainer padding), and what you get back is the implementation plus the reasoning behind every call in it.
Do you work with agencies or brands directly?
Both, though they tend to arrive through different doors. Agencies usually bring me in for the AI systems and measurement side, and brands usually start with technical SEO or GEO.
What is GEO and do I actually need it?
Generative engine optimization: getting your brand cited when AI tools answer questions in your category. If your buyers ask ChatGPT or Google AI Overviews anything before they purchase, you need to know how you show up in those answers, and most brands have never measured it.
When are you the wrong person to call?
If you need a full agency team, a large media buy executed at volume, or somebody to own a channel indefinitely, another partner will serve you better than I will. I'm most useful on problems that need one senior person who can cross between strategy and implementation without a hand-off in the middle.
Can you work alongside our existing team or agency?
Usually yes, and it often works better that way. I tend to take the piece nobody else on the roster can own, whether that is the technical implementation, the measurement architecture, or the AI systems work, and I document as I go so your team can carry it forward.
How do you handle client data and AI tools?
Carefully, and in writing before anything moves. We scope what a system can touch, what it is allowed to send to a third-party model, and what happens when a source goes unavailable. Client data crossing into third-party AI vendors is a question your legal team will eventually ask, and it is much easier to answer it in advance.
How do engagements start?
Send a message through the contact form with a one-line description of the problem. I reply within 48 hours, usually with a few sharp questions before any call gets booked.