While helping a vendor, McLain came across Salespeak embedded on another company’s website.
Within minutes of testing it, he realized it wasn’t a chatbot. It was an intelligent conversation layer that could represent the brand with founder-level expertise and learn from every interaction.
“I saw it live, started asking questions, and instantly knew this wasn’t scripted automation. This was a system that actually understood the product.”
He signed up immediately and uploaded RepSpark’s marketing assets: product docs, sales collateral, webinar transcripts, and FAQs. Tim expected it could take days to train the system. Instead, within 20 minutes, he had intelligent, brand-aligned conversations live on the site.
Shortly after, Salespeak’s LLM Optimization view opened an entirely new window into buyer research. For the first time, the team could see how often RepSpark appeared in AI search results and what questions prospects were asking before ever landing on the website.
“We finally had visibility into the invisible. I could see how we showed up in ChatGPT and what we needed to improve.”
Using these insights, the team began creating new pillar pages that directly answered buyer questions surfaced by Salespeak’s data. Within six weeks, Repspark’s visibility in AI search grew from 6.5% to 23%, a shift that would have taken 18 months or more to achieve through traditional SEO.