Capabilities

I take scoped consulting where the same person writes the code and runs the campaigns it serves.

What I do divides roughly in half. Some of it comes out of a decade running marketing for other people's companies, and the rest comes out of building the software that work kept needing. The reason they sit on one page is that the interesting problems land in the seam between them, where somebody has to decide what a system should measure before anyone can decide what it should do.

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.

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.

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.

GEO & AI visibility

What it covers: Getting your brand into AI answers (ChatGPT, Gemini, Perplexity, AI Overviews) and measuring it with sampled tracking and confidence intervals around every rate.

How I work: Content and entity work structured the way engines 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.

Measurement & analytics architecture

What it covers: GA4 and Tag Manager done right, warehouse-grade reporting, attribution you can defend, 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 interrogate. If a number can't be traced back to its source, 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 asks.

Unified reporting across three business units. Confidence-interval scoring shipped in production software.

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, and I run a weekly optimization cadence with a monthly narrative written for the executive team.

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.

$12M to $25M in 18 months. Up to 25 client accounts at once at Equiturn.

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 operate day to day, trained weights wherever a finetune is warranted, and straight 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.

Brand & identity

What it covers: Logo and identity systems, packaging and label artwork, print and out-of-home, and guidelines that hold up once somebody else is applying them.

How I work: Identity gets built as a system, because what breaks a brand is the fourth application nobody designed for: the bottle that has to earn its place next to a competitor who has been on that shelf for decades.

What you end up with: The marks and the production files a printer will accept, applied across the pieces the business ships, with a guide that lets the next person stay consistent without asking me.

Every consumer-facing asset at Tabanero Hot Sauce, labels through billboards. The whole identity for Toys Tonight, starting at the logo. Close to forty brands in three years at Equiturn.

Web design & development

What it covers: Design and front-end build together, from information architecture and layout through the code that ships, with performance and accessibility built in from the first layout.

How I work: The same person draws it and writes it, so a design never arrives at engineering as a set of demands. This site is hand-written with no CSS framework underneath it, and client work gets held to the same standard.

What you end up with: A site that is designed, built and measurable, handed over as a codebase your own team can read and keep changing.

This site, hand-written. Equiturn’s own site and the search programs behind it. At Apple Insurance I was the entire web function on my own.

Product & interface design

What it covers: Interface design for software rather than for pages: layout systems, state and empty states, and the decisions that only surface once something is used every day.

How I work: I design interfaces for software I also build, so the design gets tested against real data and real constraints from the first build.

What you end up with: Interface design that arrives as working front-end, with the interaction rules written down somewhere the team will find them.

Bobs Studio, a frameless desktop client with a panel docking workspace. Nexus, an agency platform designed and built by the same person.

Content & social

What it covers: SEO content writing, editorial planning, and social programs built on an idea, with the posting calendar downstream of it.

How I work: Content earns its place by ranking or by being worth reading, and preferably both. The recipes I wrote for a hot sauce brand brought in people who were not searching for hot sauce and met the brand anyway.

What you end up with: A content plan tied to real search demand, the writing itself, and a social program that still has something to say in the quiet weeks.

The content and social program at Tabanero, including the field photography. SEO content across the Equiturn client book and at Zomee.

How engagements are structured

Whatever the subject matter, projects tend to arrive in one of a few shapes, and the first conversation is usually about which one fits your problem.

Audit

Two to four weeks

A fixed-scope diagnostic that ends in a prioritized plan your team can execute. Technical SEO, analytics architecture, and AI visibility all fit this shape, and most of them turn into a build once the list exists.

Build

Scoped per project

I do the implementation, either alone or paired with your engineers so the knowledge stays in the building after I leave. AI systems and platform work belong here, because the interesting problems in that category only surface once code is running.

Advisory

Ongoing, few slots

A standing seat for teams that already have the people but want senior judgment on architecture, measurement, and what to build against what to buy. These run at fewer hours against bigger decisions, and I keep very few of them open at any one time.

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 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 whole team, 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 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.

If you're working through one of these, send it over.

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