Trusted by 300+ growth partners
Shoppers now ask AI engines what to buy and where, and stores that are cited get the sale. GEO for ecommerce makes your products and brand quotable to ChatGPT, Perplexity and AI Overviews through structured product data and answer-first buying content.
See exactly where competitors win — and the gaps you can take.
Trusted by 300+ growth partners
AI is becoming a product-recommendation channel.
When buyers ask an AI engine for the best product or brand for a need, a small set of stores get named. For Queensland retailers selling nationally, being that cited source depends on clean product entities, review signals and content that answers buying questions directly.
Queensland stores often sell distinctive, sector-linked ranges that give AI engines clear, ownable recommendation niches.
Stores stay invisible to AI recommendations when product data is thin, comparative content is missing and brand signals are weak, so AI engines default to larger, better-known competitors. National reach means little if the AI answer never names your store.
Structured product data, genuine reviews and answer-first buying guides make a Queensland store's items quotable, so AI engines recommend them by name to national buyers. Distinctive, sector-linked ranges then win recommendation niches where few competitors have optimised at all.
Making your products the ones AI engines recommend.
We test how AI engines answer buying questions in your categories and where your products are missing.
Product, offer and review data is structured so AI engines can describe and compare your items.
We build answer-first comparison and recommendation content around real purchase intent.
Review consistency and brand mentions build the trust AI engines rely on.
We monitor how AI engines cite and recommend your products, then refine.
The stack behind AI product recommendations.
Structured product, offer and review data for AI comprehension.
Comparison and recommendation content built to be quoted.
Consistent, genuine review data that supports AI trust.
Corroborating mentions that lift brand recognition for AI engines.
Monitoring of product citations across ChatGPT, Perplexity and AI Overviews.
Representative results from data-led campaigns; your outcomes are scoped to your regions and margins.
145%
Representative lift achieved by aligning separate campaigns to each Queensland region's real demand rather than running one state-wide effort.
6,000+
Total leads generated across our partners, using the same market-specific playbook we apply to Queensland's spread-out cities and regions.
Top 3
Representative rankings won through per-city local SEO, where less-saturated regional markets like Cairns and Townsville often move fastest.
4.2x
Representative ROAS from paid media budgeted per region, respecting the very different acquisition costs between the coast and the resources belt.
Get your custom GEO — Generative Engine Optimization growth blueprint — built by a senior strategist, free.
Three ways to partner, mapped to your stage of growth. Each is a structured scope of work with a clear phased timeline and the outcomes we hold ourselves to — your exact plan is built in the free audit.
Startups & early-stage
Scope of work
Timeline
Expected outcome
A clean, fully-indexed site with first ranking movement and a clear measurement baseline.
Scaling mid-market
Scope of work
Timeline
Expected outcome
Compounding non-branded traffic and a measurable lift in qualified pipeline.
Enterprise & market dominance
Scope of work
Timeline
Expected outcome
Durable share-of-voice leadership and displacement of incumbent competitors.
Scope and timelines illustrate a typical E-commerce engagement — your exact plan is mapped in your Queensland (QLD) strategy call.
The GEO — Generative Engine Optimization market is noisy. Before you sign anything, watch for these four traps — and know exactly what an honest partner does instead.
Nobody controls Google’s algorithm. A guarantee signals either inexperience or black-hat tactics that earn penalties — not pipeline.
What good looks like: Data-backed forecasts with stated assumptions and honest ranges.
Reports full of impressions, “keywords ranked,” and raw traffic that never connects to leads or closed revenue.
What good looks like: Dashboards that map organic → leads → revenue.
Partners who won’t give you admin on your own GA4, Search Console, or site — or can’t explain what they ship each month.
What good looks like: Full transparency; you own every asset and login.
12-month contracts with punishing exit terms and no value in the first quarter to justify the spend.
What good looks like: Clear 90-day milestones and earned, month-to-month trust.
Direct words from the founders and growth leads whose pipeline we report to every month.
PivotM turned geo — generative engine optimization from a line-item cost into our most predictable lead channel. We finally see organic show up in the pipeline — not just the traffic report.
They scoped the plan against our revenue math, not vanity metrics. Inside two quarters we were ranking on the E-commerce businesses in Queensland (QLD) queries that actually convert in Queensland (QLD).
The senior team that pitched us is the same team that executes. Full transparency on every asset, and numbers our CFO can verify.
See exactly where to take Queensland (QLD) market share — request your free audit.
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I founded PivotM in 2018 on one conviction: marketing should answer to revenue, not rankings. Since then my team and I have generated over 6,000+ qualified leads and earned the trust of 300+ growth partners across SaaS, e-commerce, and enterprise.
“We don’t sell rankings or reports — we engineer revenue. Every engagement begins with your pipeline math and ends with numbers your CFO can verify. If a tactic can’t be traced to a lead or a closed deal, it doesn’t ship.”
6,000+
Leads generated
300+
Growth partners
2018
Building since
