Editorial systems that produce content with somewhere to go. Built for the sales cycle, channels and buyer economics of AI/ML startups.
We design content systems — not blog calendars. Pillar pieces, distribution channels, repurposing flows, internal subject-matter interviews — so your content has a destination, not just a publish date.
Channel mix that works for AI/ML startups: Founder content (X + LinkedIn) + AEO + research-led PR + community.
MIR · Agency is the continuation of Marketers — a B2B SaaS lead-gen agency the team has run since 2017. We have shipped these playbooks in production, not just deck form.
Our reference build — a live B2B SaaS client — runs 8,700+ pages of programmatic SEO and AEO in production. Every recommendation has been tested on a live 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 content strategy with adjacent stacks (founder content + AEO, or ABM + paid retargeting) so each channel feeds the next. Reference: our live SEO + AEO programmatic build, applied here to your category — GSC numbers shared on the call.
Done-for-you marketing is one way in. When you'd rather staff your own team, ship a product, or vet a hire, the rest of the network runs the same operator playbook.
We respond within 24 hours. First call is a 30-min audit, no pitch.
