Frequently Asked Questions

We wire AI into the go-to-market of B2B software companies: lead scoring, routing, outreach, deal intelligence and forecasting, built inside your CRM and run by your team. Six services, one machine: AI implementation, GTM strategy, revenue operations and automation for operators; GTM due diligence for deal teams; offshore teams for companies that need the seats.

B2B software and tech companies between $2M and $50M ARR with a real sales team and a motion that works but leaks. Series A to C, or the bootstrapped equivalent. If you sell to consumers or have not closed deals by hand yet, we are not the right partner, and we say so on the what we don't do page.

The first engagement runs 60 days in four phases: Diagnose (days 1 to 14), Design (15 to 28), Deploy (29 to 49) and Compound (day 50 on). The first automation goes live inside Design. Results start inside 30 days and mature by 60, depending on how mature your processes and team are. Many clients continue from there, from three months to over a year.

Four phases. Diagnose (days 1 to 14): we start inside your CRM and pipeline data, finding out what is true, and agree a written baseline. Design (days 15 to 28): the automation map, ranked by revenue impact, and the first automation live. Deploy (days 29 to 49): workflows and AI agents go live one at a time in your stack, with your team trained on real deals as they ship. Compound (day 50 on): the baseline re-measured, playbooks and documentation your team owns, and a 90-day plan for what to expand next. The week-by-week anatomy, including what we need from your team and where timelines slip, is on the 60 days page.

Agencies run campaigns and bill activity. We build systems inside your stack, hand you the documentation, and measure against a baseline you agreed in writing. When we leave, the machine stays.

Typical results from our engagements, benchmarked against comparable AI-powered GTM implementations: 2x pipeline velocity, 20% lower CAC, 60% of GTM busywork automated, 10 hours back per rep per week, results from day 30 and mature by 60. Results vary by stack, data quality and adoption.

Yes. We run buy-side GTM due diligence for PE and VC funds and corporate acquirers: pipeline quality and coverage, revenue durability, CAC and unit economics, the GTM team and motion, and stack health - delivered as a written report with a readout, at deal speed. Details at zrev.ai/gtm-dd.

Yes, two ways. Recruit: we source, screen, and hire offshore talent (primarily in India) and you run them. Build and operate: we hire the team, set up workflows and SOPs, and manage day-to-day operations for you. US and UK builds are supported where the requirement calls for it. Details at zrev.ai/offshore-teams.

Pricing is scoped to deliverables, not hours. Focused engagements start in the low four figures in USD per month; larger system builds are priced per project. You get a fixed scope and a fixed price before anything starts.

Yes, and we publish the list: consumer or self-serve businesses, agencies that sell hours, companies with no sales motion yet, decks without implementation, outsourced SDR floors, and anything whose real goal is replacing sellers with AI. Each has a reason and a better place to go. Read what we don't do →

Two. The llms.txt generator grades or builds the file that tells AI systems what your site contains. And zRev AEO Lens, our Chrome extension, shows an AEO readiness score, structured data, crawler access, and a cold read of the homepage for any site you are on, in one click (60-second demo). Neither needs an account.