SEO at Scale for AI/ML startups.

Programmatic SEO and topical authority that compounds over months. Built for the sales cycle, channels and buyer economics of AI/ML startups.

Start growing → SEO overview

◆ THE PROBLEM

Where AI/ML startups marketing breaks

— Fast-moving category — what's true today is irrelevant in 3 months
— Differentiation: 200 'AI for X' startups in your category
— Founders need to ship POV daily; nobody on the team has the time

◆ THE PLAYBOOK

How we run SEO for AI/ML

We build SEO programs that scale from 50 pages to 5,000 — keyword strategy, topical authority, technical fixes and editorial cadence — engineered to capture every relevant query in your category.

Channel mix that works for AI/ML startups: Founder content (X + LinkedIn) + AEO + research-led PR + community.

Auditcrawl, GSC, Bing Webmaster, competitor gap, keyword and SERP intent map
Strategyhub-and-spoke architecture, page templates, content briefs
Buildprogrammatic templates, hand-written hubs, internal links, schema
Distributeindexing API, sitemap submission, link earning where it moves the needle
Compoundmonthly review, rewrite the bottom 10%, double down on the top 10%

◆ WHY MIR

Three reasons we win on AI/ML

Operators, not consultants

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.

Live reference build

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.

Funnel economics 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.

◆ TRACK RECORD

Why MIR

2,500+

Pages indexed on JobCannon, our SEO reference build

2017

Founder's first B2B SaaS marketing agency (Marketers, Ukraine)

17K

Founder LinkedIn audience, used as live distribution

24h

Reply time on every inbound — first call is a 30-min audit, no pitch

◆ CASE REFERENCE

What this looks like in practice

For a AI/ML startups company at Series A–B, an MIR engagement typically blends seo at scale 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.