Get found. Get faster. Don’t fly blind.
I help businesses use AI to win more customers, remove expensive repetitive work, and let the same team do more. Then I put checks around the parts where blindly trusting AI gets expensive.
AI is changing both sides of the business at once: how customers find you, and how the work gets done once they do. I help with both, and with the parts you shouldn’t trust blindly.
Get found
When someone nearby asks Google, or asks an AI, who they should hire, your business should have the best possible shot at being the answer. I audit where you show up and where you’re invisible: your Google Business Profile, local search, service and location pages, reviews, structured data, your site’s writing, and what ChatGPT, Claude, Gemini, and Perplexity actually say when buyers ask. Then I fix what’s fixable and show you what actually moved.
A lot of discoverability problems are really clarity problems. If your site sounds like every other company, buries what you actually do, or is full of machine-written filler, more content isn’t the answer. I rewrite the pages that matter, service pages, location pages, FAQs, case studies, the about page, using AI for the research and the leverage and keeping the writing human. Your customers shouldn’t have to read AI slop.
Get faster
Find the expensive repetitive work and take it off your team’s plate: quoting, follow-ups, customer replies, research, document handling, reporting, and the rest of the work that quietly eats the week. I design the workflow, build what’s worth building, connect the software you already use, and train the people who have to live with it. For a lot of service businesses, speed-to-lead is one of the first places worth looking.
The goal isn’t to automate everything. It’s to find where AI creates enough leverage to justify changing how the work gets done.
Don’t fly blind
Once AI is doing real work, someone has to know when it’s wrong. I map where review belongs, what stays human, what evidence to keep, and I build the checks. This is the discipline Imbas is built on, applied to your operation.
A clean answer isn’t the same thing as a reliable process. In higher-stakes work, what matters is what the system saw, what it missed, what changed, what a person actually checked, and whether there’s enough left behind to reconstruct the decision later.
Common sense before automation
I’m not here to put AI everywhere. I’m here to figure out where it actually gives your business leverage, where it creates new problems, and what’s worth doing about either. Sometimes the answer is an agent. Sometimes it’s a better workflow, better writing, or a human checkpoint. Sometimes the answer is that you shouldn’t build the thing at all, and I’ll tell you that.
Start free
Show me how your business works. I’ll tell you where I think AI can actually help, where it probably can’t, and whether there’s enough value to justify doing anything. If there’s nothing useful, I’ll say so.
- No promises about rankings or AI answers. Nobody honestly controls those. What I can do is measure where you show up, improve the signals that are actually improvable, and report what changed.
- Your material stays yours. Client documents, workflows, and outputs are confidential by default, and nothing becomes public research without your explicit consent.
- Advisory clients do not influence Imbas’s public methods, measurements, or findings, and businesses I advise are not included in published Imbas measurement work without separate consent and governance.
I’m Brendan Nestor. I build Imbas, where people inspect what AI surfaces, what it leaves out, and how that changes over time. Before that I ran a service business, and I’ve worked in product, growth, and operations at a startup. I’ve used AI for software, research, writing, operations, and situations where a sloppy answer wasn’t good enough. I care less about what looks impressive in a demo than whether it holds up when somebody has to rely on it.