AI sales agents for revenue teams
1mind builds AI sales agents that run real conversations with prospects at the top of the funnel. They answer product questions, qualify buyers, book demos and keep the context handy for the humans who close the deal. The company's own buyers are revenue leaders, and those buyers increasingly ask AI engines before they ask vendors.
That meant visibility inside ChatGPT, Perplexity and Claude wasn't a nice-to-have. It was the top of the pipeline.
Stuck between knowing and doing
The marketing team already tracked how 1mind showed up across AI engines. They knew the prompts, the competitors and the share. What they didn't have was a fast way to turn any of that into content, structural fixes or measurable movement.
The weekly loop ran like this: export the visibility data, research the winning competitors by hand, write a brief, send it for drafting, ship it two weeks later, and then wait another two to see if anything changed. For a lean team, that was far too much manual glue for one channel.
An integrated operating system for AI search
Searchable gave 1mind a single workflow that covered the whole loop. Monitor tracked visibility across engines and let the team ask plain-language questions like "where am I losing share?" and "which pages do ChatGPT cite instead of mine?". Create generated content aligned to 1mind's brand voice, aimed at specific visibility gaps the data had surfaced. Audit flagged schema and structure issues and told the team the exact technical fixes to ship.
The GA4 and Search Console integrations tied visibility all the way through to traffic and pipeline, so the team could tell whether a published article moved anything downstream, not just whether it was cited.
Today, monitoring runs every day. Content generation runs two to three times a week. Audits run on a weekly cadence. None of that eats a senior marketer's afternoon anymore.
From reactive monitoring to proactive optimisation
- Content planning dropped from 3-4 hours a week to 30-45 minutes, a 70% reduction in workflow time
- Article velocity moved from weekly to daily, roughly a 10x lift (5-10 pieces per day during pushes)
- Impact is now measured in days, not weeks, thanks to daily monitoring tied to GA4
Along the way, the team found gaps on high-intent topics like AI implementation frameworks and revenue-operations AI strategy, even while they were already winning on AI sales training. Those gaps turned straight into published content.
Strategy follows the data, not the gut
Content decisions at 1mind now start with what AI engines are actually being asked, and where competitors earn the citations. The platform handles the heavy lifting of analysis and the first-pass execution, which fits a lean team and lets leadership stay focused on strategy and approval instead of production.
The result is a small marketing org operating at a scale that used to require a team several times the size.