Roberto Guerra doesn't run a typical agency. His consultancy, Revenue Hub Latam, specializes in HubSpot implementations for sales teams of 10 or more reps. In the two and a half years since he founded the business, Roberto has worked with over 30 clients, but his methodology differs from the standard consulting model.
Most consultants favor long, opaque engagements where the work happens behind closed doors. Roberto takes the opposite approach. He built a proprietary, AI-assisted platform that gives his clients direct ownership of their growth. Instead of acting as a gatekeeper, Revenue Hub serves as an accelerator, working alongside the client rather than in front of them.
Roberto describes himself as a hack-seeker. He has a mindset focused on stripping away the fluff to find the shortest, most efficient path to a result. He applies the same relentless logic to every channel he touches, including AI Search, using Temso.
We sat down to learn more.
AI search visibility may be make or break for boutique consultancies
For a three-person team competing against massive agencies, being visible can’t just be a vanity metric. Revenue Hub doesn't have the six-figure budget needed to outspend category leaders on paid ads or mass-produced content. To win, they have to be findable by buyers who need their specific expertise at the exact moment it's needed.
The challenge is that those buyers are changing how they search. When a RevOps leader asks ChatGPT, “Who is the best HubSpot consultancy for a sales team of 20?” the answer is a concise list of who ChatGPT thinks is the best. If Revenue Hub isn't mentioned, a high-intent lead is lost.
“It's really important to be able to appear in searches for people who really need this,” Roberto said. “Not just for visibility and marketing purposes. It doesn't matter if you generate lots of content and you're not being able to appear there.”
A diagnostic approach to a new channel
Roberto's instinct with any new channel is to figure out the mechanics before committing resources. AI Search, in his view, is still early enough that the operators who study it carefully have a real advantage over those who don't.
“I know that SEO is a very long game,” he said. “The rules are clear, but it's a long wait. You need constant monitoring. With my mentality, I don't have time for that.”
He started by looking at his own category, but even after publishing high-quality content, he remained invisible in AI summaries, suggesting the problem wasn't the volume of his content but the architecture behind it. Finding a way to diagnose and fix that architecture became his top priority.
Using Temso’s AI Agent as a Sparring Partner
Temso's AI Agent analyzes brand visibility across eight LLMs, shows what’s worked, and proposes what to do next. Users can chat with it to run deep dives, pull reports, or scenario-plan changes. For small teams without a dedicated AI search analyst, the agent acts as the analyst.
Roberto’s approach is to treat the Temso AI Agent as a counterparty, a sort of sparring partner to his own internal systems.
“I made the two sides fact-check each other,” he explains. “I’m a fan of logic and processes. I would take information that one side didn't know, feed it to the other, and let them trade feedback.”
The feedback loop was highly technical and conversational. Roberto would put his own codebase and structure against the AI agent, asking, “I talked between my code base and Temso's agent. I would just start talking with the agent. And eventually the numbers started going up.” By pressure-testing his hypotheses across both systems, he no longer had to guess which technical fixes might work.
“Within a couple of days, you notice the change immediately,” he says.
Once the Agent identified a structural gap, Roberto needed to update his content to earn citations. He used the Content Writer inside Temso to draft or optimize articles based on that data. The combination ensures that every article is relevant and structurally aligned with LLM requirements. The Writer acts as the execution arm, turning the Agent's technical diagnosis into live content that moves the needle.
From 7% to 36% visibility in three weeks with Temso
Before using this sparring method, Revenue Hub had been sitting at roughly 7% visibility in AI Search for a few months.
Within a few weeks of using the AI agent to diagnose the problem, his visibility score jumped to 36%. Meanwhile, the massive competitors he was benchmarking against, agencies with far more resources, should have been dominating the category, but were lagging.
“I spent nearly five months at 7% visibility with no clue why my articles were ranking, but my brand wasn't being mentioned,” Roberto says. “Then, in a few weeks, I hit 36%. The big agencies are still sitting at 13%.”
The year ahead: compounding and attribution
Roberto’s strategy is pretty simple: find what works, understand why it works, and do more of it. He views the entire field of AI-driven search (AEO) as a way to get mentions and visibility faster than traditional methods ever allowed.
“I’ve always looked for the efficiencies in every system,” he says. “And AI search is a way to get seen very fast, provided you know how to work with the system. I’m good at reverse-engineering, so I used the agent to figure out exactly what the search models needed to see.”
Roberto isn't looking to overcomplicate his strategy for the coming year. His goal is to maintain his basis and let the results compound over time.
“As long as you have your bases covered with the right content and architecture, it works,” he says. “In SEO, if you are there all the time, eventually clients realize you’re the team they see everywhere.”
The next phase of the plan is attribution. Roberto is focused on translating that 36% visibility into a qualified sales pipeline. By using "how did you hear about us" signals, he plans to pin down exactly which LLMs produce clients. Once the loop is closed, what started as an experiment becomes a permanent, reliable growth channel.
