Industries
Same platform. Six different playbooks.
A regulated pharma portfolio and a D2C catalogue share the mechanics of search and nothing else. Pick the category whose constraints you recognise.
- Enterprise
- Every region and business unit runs its own tooling and its own definition of done.
- Legal and compliance review is the real bottleneck, not writing.
- Nobody can answer the board's question: are we visible in AI search or not?
2.4Madditional monthly organic sessions in 14 months
- Scale
SaaS & Technology
Buyers now ask a model for a shortlist. Be on it.
- Review sites and listicles outrank your own comparison pages.
- A model recommends three competitors and never mentions you.
- Product-led content is written by engineers with no time to optimise it.
5.1xgrowth in demo requests from organic in 9 months
- Scale
E-commerce & D2C
Shoppers ask a model what to buy before they ever open a tab.
- Thousands of product pages with duplicate, manufacturer-supplied copy.
- Category pages that rank badly and convert worse.
- Paid acquisition costs rising faster than margin allows.
82xorganic sessions in 90 days, 11K to 64K
- Growth
- One location page doing the work of twelve service areas.
- Reviews scattered across platforms with no strategy behind them.
- A model recommends the competitor two suburbs away.
+412%inbound booking requests year on year
- Enterprise
Healthcare & Pharma
In this category, an inaccurate AI answer is a regulatory problem.
- Medical and legal review turns a two-week piece into a two-month one.
- YMYL scrutiny means weak E-E-A-T signals cap your ceiling permanently.
- Models describe indications, contraindications or dosing incorrectly.
2.0M+monthly visitors added across the portfolio
- Per-seat tooling costs that scale faster than the client roster.
- Reporting assembled by hand at the end of every month.
- Clients asking about ChatGPT and no credible answer to give them.
+19clients added without additional delivery headcount
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