Category Creators4 min read

+100% inbound leads: how Building Radar stopped depending on outbound

Building Radar sells construction intelligence to teams that research carefully before they buy. Its growth, though, ran on cold outreach. In 90 days the company doubled qualified inbound leads and changed where its pipeline comes from.

+100%inbound leads

  • +100%qualified inbound leads
  • 50AEO-optimised pages
  • 100.000keywords clustered

The challenge: growth that depended on outbound

Traditional content marketing had hit diminishing returns, so the pipeline leaned on outbound and cold email. That works until it has to scale: more pipeline meant more headcount, and the sales cycle was long enough that only genuinely qualified leads were worth the time.

At the same time the company was invisible in AI-powered search. Buyers researching construction intelligence were getting answers that did not mention Building Radar, at exactly the point in the cycle where a vendor gets shortlisted.

scaile's approach

The work began by mapping demand rather than guessing at it: 100,000 keywords were clustered into high-intent themes, and the ideal customer profile was sharpened so the programme targeted the buyers worth winning instead of the largest possible audience.

On that basis the content engine produced 50 AEO-optimised blog posts and landing pages, built so AI engines can extract and cite them and so a reader arriving from an answer lands on something that converts. Internal and external linking built the authority those pages needed to be treated as a source.

The results

+100% qualified inbound leads in 90 days

Within 90 days the qualified inbound pipeline had doubled, and the mix shifted from outbound-dependent growth to a consistent inbound flow the team could plan against, with no increase in marketing headcount.

“scaile helped us increase inbound leads by 100%. We now have constant qualified lead inflow.”

Heinrich RuscheChief Revenue Officer, Building Radar

How visible is your brand?

Visibility is tracked continuously (mentions, citations and Share of Voice across engines) and reviewed in biweekly strategy meetings. Want to know where your brand stands today? Run the free Health Check on your website, or book a call with our team.

Simon, Co-founder

SimonCo-founder


Simon is co-founder of scaile and works with enterprise teams on visibility in AI search, from the first audit to defensible Share of Voice numbers.

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Frequently asked questions

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How fast do results in AI search show up?

First results in AI search typically show within 6 to 14 days, while solid SEO conclusions take about three months. Most teams have a visibility baseline within their first week and see measurable Share of Voice movement within one quarter.

How are these results measured?

Every engagement starts with prompt tracking: scaile monitors the relevant questions your target group asks across AI engines and tracks mentions, citations, and Share of Voice over time, alongside classic metrics like organic impressions and traffic. Defensible numbers for executive review.

What industries do you work with?

The work is organised around five customer segments: global multi-category enterprises, category creators, the technical Mittelstand, publishing and media, and ecommerce and booking. Each has its own page explaining what the programme looks like there. What they share is that factual accuracy, brand voice and claim control matter.

Do I need to change my existing content strategy?

No. scaile works alongside your existing content strategy and SEO efforts. We add a new layer of AI-optimized content production that complements what your team already does. Most clients keep their current workflows and let scaile handle the AI visibility layer.

What does success look like in the first 90 days?

A baseline of where your brand appears across AI engines, a prioritized roadmap of opportunities, and the first wave of content live and tracked. Most teams see measurable share-of-voice movement within one quarter.

Curious what this would look like for you?

Every story here started with the same 30-minute call: your category, where AI places you today, and what it would take to change that.