Capabilities

I take on scoped consulting engagements and do the work myself, from strategy through code.

What I do divides roughly in half. Half of it comes from ten years of running marketing for other companies, and the other half comes from building the software that marketing kept needing. They sit on one page because the interesting problems land between them, where somebody has to decide what a system should measure before anyone decides 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: The system is designed to fail closed. We define what it must refuse to do before we talk about features, and you get working software with the reasoning written down.

What you end up with: Running software in your environment, an architecture document your own team can maintain, and a permission and audit model that will pass a security review.

I am the sole engineer of an agency platform in daily production 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 them myself or pair with your developers, and every recommendation is ranked by expected impact against effort.

What you end up with: A prioritized fix list with effort estimates, the implementation or paired sessions with your engineers, and a migration plan if a replatform is in the way.

Organic traffic up 300% after a full rebuild, with page-one rankings in a category the incumbents had held 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 the engines cite, plus a measurement layer that tells you whether any of it moved. The method 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 after the engagement ends.

AI visibility scoring is running in production software, and the method is published on this site.

Measurement & analytics architecture

What it covers: GA4 and Tag Manager implementation, warehouse-grade reporting, attribution you can defend, and statistical rigor on anything that claims to be a KPI.

How I work: One tracking plan and one source of truth feed executive reporting that a CFO can question line by line. A number that cannot be traced back to its source does not 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, and confidence-interval scoring 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 are set in revenue. I optimize weekly and write a monthly narrative 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.

Revenue from $12M to $25M in 18 months at Zomee, and 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 my 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 a clear account of where generative output still costs more than it saves.

Nepotism, my released FLUX model, has passed 35,000 downloads across Civitai, SeaArt, and PromptHero. I spoke about 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: I build identity as a system, because a brand usually breaks on the fourth application nobody designed for, like a bottle that has to sit on a shelf next to a competitor who has been there 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, from labels to billboards. The full identity for Toys Tonight, starting with 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 designs it and codes it, so a design never arrives at engineering as a list of demands. This site is handwritten with no CSS framework underneath, and client work is 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. Equiturn’s own site and the search programs behind it. At Apple Insurance I built and ran the website on my own.

Product & interface design

What it covers: Interface design for software: layout systems, states and empty states, and the decisions that only show up 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 one 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 has to rank or be worth reading, and preferably both. The recipes I wrote for a hot sauce brand brought in people who were searching for dinner and met the brand there.

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, alone or paired with your engineers so the knowledge stays with your team after I leave. AI systems and platform work belong here, because the interesting problems only show up once code is running.

Advisory

Ongoing, few slots

A standing seat for teams that have the people but want senior judgment on architecture, measurement, and build-versus-buy decisions. These run for fewer hours on bigger decisions, and I keep only a few open at a time.

Whether this is a fit

The engagements that go well tend to look alike. There is a decision or a system that matters, the team is capable but missing one kind of senior judgment, and somebody inside the company wants the thing to work. I am most useful when the problem crosses a boundary that usually forces a handoff, like measurement design that turns into engineering, or an SEO rebuild that turns into an argument about the platform underneath it.

I am the wrong call for some situations and would rather say so early. If you need volume execution across many channels, a full team, or an agency to own a function permanently, there are firms built for that and I would point you to one. The same goes for work where the outcome is already decided and you want somebody to validate it. I am better when the answer is still open.

Common questions about engagements

What does an engagement with Robert Galasso look like?

We pin down the problem and the deliverable up front. I do the work myself, with no junior handoffs and no retainer padding, and you get the implementation plus the reasoning behind every decision in it.

Do you work with agencies or brands directly?

Both. Agencies usually bring me in for AI systems and measurement, and brands usually start with technical SEO or GEO.

What is GEO and do I need it?

GEO stands for generative engine optimization. It means 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. 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 run at volume, or somebody to own a channel indefinitely, another partner will serve you better. I am most useful on problems that need one senior person who can move between strategy and implementation without a handoff.

Can you work alongside our existing team or agency?

Usually, yes. I take the piece nobody else on the roster can own, whether that is the technical implementation, the measurement architecture, or the AI systems, and I document as I go so your team can carry it forward.

How do you handle client data and AI tools?

In writing, before anything moves. We scope what a system can touch, what it may send to a third-party model, and what happens when a source is unavailable. Your legal team will eventually ask about client data going to AI vendors, and it is easier to answer that 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 questions before we book a call.

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

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