Pursue the 200 accounts that matter — across paid, content and outbound. Built for the sales cycle, channels and buyer economics of AI/ML startups.
ABM done right: a tight target list, deep account intelligence, coordinated outbound and personalized paid air-cover, all measured by pipeline created in named accounts.
Channel mix that works for AI/ML startups: Founder content (X + LinkedIn) + AEO + research-led PR + community.
The founder of MIR previously ran a B2B SaaS lead-gen agency (Marketers, 2017–2021). The team has shipped these playbooks in production, not just deck form.
JobCannon — our own product — runs 2,500+ pages of programmatic SEO and AEO in production. Every recommendation has been A/B tested on our own surface first.
We model target CAC and payback before we open a single ad account or write a single brief. If a channel doesn't fit your unit economics, we tell you to skip it.
For a AI/ML startups company at Series A–B, an MIR engagement typically blends account-based marketing with adjacent stacks (founder content + AEO, or ABM + paid retargeting) so each channel feeds the next. Reference: see our SEO + AEO build on JobCannon, applied here to your category.
We respond within 24 hours. First call is a 30-min audit, no pitch.
