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SaaS

A content engine that compounds instead of decays

Non-brand organic became the largest trial source, and the same pages started appearing as cited sources inside AI assistant answers.

+212%

Non-brand organic

+87%

Trial signups

+45

AI citations tracked

Figures are indicative of outcomes from this engagement type. We share verified, client-approved numbers under NDA on a call.

The problem

A B2B SaaS company published consistently but ranked for nothing commercial, and none of its content appeared in AI assistant answers.

What we built

Topic cluster architecture built around buying intent, entity and schema work for answer engines, internal linking programme, and lifecycle nurture from trial to paid.

How we approached it

  1. Step 01

    Start from buying intent

    Clusters were mapped to the questions buyers ask at evaluation, not to keyword volume alone.

  2. Step 02

    Make the entity unambiguous

    Organization, Product and FAQ schema, consistent naming, and an about page assistants can cite as the source of truth.

  3. Step 03

    Answer in the first paragraph

    Question-shaped headings with direct extractable answers, then depth below for human readers.

  4. Step 04

    Connect content to the trial

    Contextual in-content CTAs plus nurture sequences that reference the topic the visitor arrived on.

More work

Other engagements

ManufacturingCase study

Turning a brochure site into an RFQ engine

Problem
A precision components manufacturer ranked for brand terms only. Enquiries arrived by phone and were logged in a spreadsheet, so nobody could say which marketing produced revenue.
Solution
Technical product architecture with specification-level pages, schema for products and FAQs, a structured RFQ flow, and CRM routing with automated acknowledgement and follow-up.

3.1x

More qualified RFQs

-82%

Faster first response

+240

Organic entry pages

  • Web Development
  • SEO
  • CRM
  • Automation
Read the full case study
HealthcareCase study

Filling clinic calendars without increasing ad spend

Problem
A multi-location clinic group paid for traffic that landed on a slow, generic homepage. Location pages did not exist and no-shows were high.
Solution
Per-location landing pages, integrated scheduling, conversion tracking rebuilt server-side, and automated reminder sequences across email and WhatsApp.

+118%

Booked appointments

-46%

Cost per booking

-31%

No-show rate

  • Landing Pages
  • PPC
  • Automation
  • Analytics
Read the full case study
Back to all work

Next step

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