Programmatic SEO for AI-native B2B.

Programmatic SEO for AI-native products: model libraries, prompt directories, evaluation tools, applied-AI vertical SaaS. Built for the search behavior of buyers who already know LLMs and are evaluating tools, not concepts.

Book a 15-min call → Programmatic SEO overview

◆ THE PROBLEM

Where AI / ML programmatic SEO breaks

— Search demand for «AI for X» is exploding but most pages are templated junk that already got hit by HCU
— Buyer queries are model-, framework-, or use-case-specific — generic AI content doesn't convert
— AEO matters more here than anywhere — your buyers literally ask ChatGPT what to use

◆ THE DATA LAYER

What we build pages from

Models × benchmarks × use cases × frameworks × pricing. Real eval scores, real cost-per-token tables, real integration paths. AI-native buyers will smell hand-wave content immediately — pages must be backed by data they can cross-check.

◆ HOW WE RUN IT

Six-month engagement

Month 1 — Audit & taxonomyCrawl, GSC pull, Bing pull, competitor SERP gap. Map your first-party data to topical clusters. Lock the 1,000-page taxonomy.
Month 2 — Build wave 1500 pages live. Hub pages, top commercial-intent combos. Schema and internal-link graph engineered.
Month 3 — Build wave 2Remaining 500 pages live. AEO surfaces verified. First impressions show in GSC.
Month 4 — First lift cyclePages start ranking. Bottom 10% rewritten. Top 10% gets internal-link boost and schema enrichment.
Month 5 — CompoundLift cycle 2. Add new clusters based on what's actually getting clicks.
Month 6 — Handover or extendYou own the pages, the data, the dashboard. Runbook handover or month-to-month extension.

◆ WHY MIR

Three reasons we win on AI / ML

AEO-first build

Speakable schema, FAQ JSON-LD, GPTBot/ClaudeBot/PerplexityBot allowed and validated — your pages show up when buyers ask LLMs what to evaluate.

Adsme heritage

Founder previously built and exited an AI marketing operator (Adsme, Forbes ~$1M acquisition). We've operated on the inside of an AI-native go-to-market team, not just consulted to one.

Benchmark-grade taxonomies

Templates designed to hold structured comparison data (eval scores, latency, cost), not just feature checkboxes — which is what AI-savvy buyers actually shop on.

◆ TRACK RECORD

Live reference build

18,000+

Pages in JobCannon sitemap, all 200-OK

12,000+

Indexed and ranking through HCU 2025

2,500+

First-party career profiles

24h

Reply on every inbound — quote on the same call

◆ CASE REFERENCE

What this looks like in practice

For a AI / ML company at growth stage, an MIR engagement typically pairs the programmatic build with adjacent stacks (AEO + content, or topical authority + comparison pages) so each layer feeds the next. Reference: see our SEO + AEO build on JobCannon, applied here to your category. Live GSC dashboard available on call.

◆ START GROWING

Run programmatic SEO for AI / ML

We screen-share the live JobCannon GSC dashboard, hear your data, and quote on the same call.