B2B manufacturing marketing has a brutal funnel. Ticket sizes run $10K to $1M per deal. Sales cycles run 3 to 12 months. The buyer universe is narrow — engineers, procurement, technical specifiers — and they do not respond to generic outbound. One closed deal pays for the whole quarter, which is exactly why missing one hurts so much.
Traditional answers — bigger BDR team, bigger content team, bigger dealer support — do not scale. The talent pool that can write a credible spec sheet and run a cold call to a plant engineer is small and expensive.
Lead-gen at scale
AI sources ICPs from open data: company registries, industry directories, patent filings, equipment certifications, hiring signals. It qualifies on firmographic and technographic signals before any touch happens. Then it runs multichannel outreach — email, voice, LinkedIn — on the segments that pass the filter.
A real reference: a B2B construction client in a narrow niche deployed a voice outreach agent for warm and cold calls, ran roughly 2,000 live calls at ~44% qualified-lead conversion, and closed 11 deals in 2 months. Full breakdown at the construction voice outreach case.
For a $50K average deal, those 11 closed deals cover years of platform cost in two months.
Dealer enablement
A dealer network is a multiplier. Twenty dealers each running their own marketing in their own territory should produce 20x the pipeline of a direct-only model. In practice most dealers get a generic content pack from corporate, ignore it, and revert to whatever local tactics they have time for.
AI agents build localized content for every dealer territory. Each dealer gets a personalized content stream: regional case studies, local-language ad creative, territory-specific competitive intelligence, customer education materials tuned to the equipment mix in their region. Corporate keeps brand control. Dealers get content that actually sells in their market.
This is the kind of work no internal team has the bandwidth to produce manually for 20 dealers, let alone 200.
Technical content production
Spec sheets, application notes, comparison guides, RFQ responses — engineering-grade copy that engineers will trust. This is the content that closes deals, and it is exactly the content that gets perpetually deprioritized because writing it well takes a senior engineer's afternoon.
SVI's 14 modules include technical writing agents that work from product documentation, certification data, and competitive teardowns. RFQ response generation cuts the response window from days to hours, which on a long-cycle deal often decides who gets shortlisted.
Engineering-grade copy at scale is what changes manufacturer marketing from a brand exercise into a pipeline-generation function.
Voice outreach
The construction case is the template. Dialer plus qualifier plus handoff to a human sales engineer. The AI runs the top of the funnel: dials, navigates gatekeepers, qualifies on a small set of crisp questions, books a discovery call. The human picks up at the discovery call with full context already loaded.
The pattern works for any narrow B2B vertical where the buyer is reachable by phone and the qualification logic is concrete. See the voice AI cold-calling breakdown for the call-quality, compliance, and handoff details.
Pricing
SVI Marketing Enterprise Full is $1,900 one-time setup plus $5,000/month, which includes the voice outreach agent inside the same enterprise tier. For a manufacturer this replaces a small BDR team and a content marketing function — easily $500K+/year in loaded cost — with one platform that runs continuously.
See the enterprise tier breakdown for the full module list. The outreach solution page covers the voice and sequencing layer in detail.
How to start
Open a chat with Mai with your average deal size, dealer count, and current BDR cost. She can scope a lead-gen pilot, a dealer enablement rollout, or both, with a realistic 8-week deployment plan.