An expert-level automated marketing system that turns AI efficiency into 10x marketing productivity.
Your team connects accounts and uses each marketing function in the platform to work far more efficiently.
Explore the platform →No in-house marketers? iport runs your marketing for you, using the same system.
Explore marketing services →Deploy the system on your own infrastructure for full data and security control, licensed per module.
Private Deployment →Works with the store systems and CMS you already use — no need to move your site.
No website yet?
We can build and maintain a site for you, then run its marketing.
AI for speed, human expert experience for standards. Every module runs on strict operating procedures with multi-layer, multi-dimensional quality gates.
Automation handles the repeatable work — keyword review, waste diagnosis, content pipelines — so human time goes to decisions.
Workflows shaped by decades of hands-on marketing operations, encoded into strict, repeatable procedures.
Multi-dimensional scoring and fact-checking gates lock out low-quality output before it ships.
iport is an expert-level automated marketing system (Martech SaaS) built while running real stores ourselves. It combines AI efficiency with human expert standards: a closed loop that analyzes what actually happens across Ads, Search Console, Analytics and Shopify, then plans, creates and optimizes content and campaigns from the same data. It is delivered three ways: use it with your own team for 10x efficiency, let our team run it for you as a managed service, or deploy it privately on your own infrastructure.
Analyze → diagnose → plan → execute → measure. Every recommendation carries confidence, reasoning and evidence, and results are fed back to make the next round sharper.
Anything that spends money or changes a live store is suggested first and executed only after your approval — every action is logged and reversible.
Google Ads, Search Console, GA4, Bing and Shopify all feed one data context, so analysis and AI diagnosis see the whole picture instead of one silo.
Every workflow here solved a real problem on a live store first — from ad-blocker-proof tracking to 85% impression-share losses caused by ad rank.
Turn keywords into a topic architecture, briefs and fact-checked articles for any site — Shopify or not — with planning that stops content from competing against itself.
Search performance, traffic funnels, ads efficiency and store data in one place — with AI diagnosis that connects the dots across channels.
Daily state snapshots, a full event timeline and AI causal reasoning that attribute growth to what actually moved it — not last-click guesses.
From AI campaign creation to daily waste diagnosis — a complete Google Ads operating system with human approval on every money-moving action.
Collect contacts, manage address lists, send from connected mailboxes and track every reply — PR and link-building outreach on rails, with human review.
See how ChatGPT, Claude, Gemini and Perplexity describe your brand and your competitors — and what it takes to be cited over them.
A seven-domain health audit of your Shopify store, with AI recommendations, a decision ledger and a feedback loop that gets sharper over time.
From keyword cleaning to topic trees, briefs and fact-checked AI articles — the SEO content production line that publishes directly to your Shopify store.
Translate everything a real store contains — including the text most translation apps can't reach — with quality gates and safe rollback.
Diverge-then-converge topic architecture generated 1,221 candidate topics in one pass and converged them into a 1,324-node content tree for about $0.35 — heavyweight content planning you can now afford to rerun.
Read article →Word-surface clustering mixes competing intents into one bucket. How an 8-dimension facet taxonomy — attribute, device, scenario, region — slices keywords before merging, with 1,167 attribute words vs 120 scenario words and 122 corrections baked into rules.
Read article →PR outreach starts with a list, and manual research is slow and leaky. How we used AI-assisted collection to build a 27-contact PR list — 18 media and 9 PR vendor contacts — and sent in batches with reply tracking.
Read article →