Customer outcomes
From AI discovery to commercial impact.
See how ecommerce and retail teams use Lindle to understand emerging customer journeys, improve how their brands are discovered and turn evidence into practical commercial action.
Case study overview
AI acquisition and channel intelligence£1m+More than £1 million in estimated revenue from AI-referred visits over 12 months.AO gained a daily view of AI mentions, links and competitor movement, connected to AI-referred website traffic.Read the AO story 
Priority category growthMore than 2×Targeted visibilityVisibility in the ceramic-heating category rose from approximately 6% to 14%, with clear evidence for content priorities.Read the BestHeating story 
Local discoverability at scale38% → 82%Showroom-specific visibilityShowroom-specific visibility rose from 38% to 82% as local content became a repeatable workflow.Read the Easy Bathrooms story
AI acquisition and channel intelligence
AO made AI-referred demand a measurable acquisition channel.
More than £1 million in estimated revenue from AI-referred visits over 12 months.
- AI-referred website visits measured in June 2026
- 41,556
- AI-referred website visits measured in June 2026
How this was measured: Estimated revenue associated with AI-referred website visits across a 12-month reporting period.
The challenge
AI assistants were influencing product discovery, but AO could not reliably see when products were mentioned, when recommendations contained a usable link or where competitors appeared instead.
What Lindle did
Lindle ran thousands of shopper-style queries across leading AI assistants, measured mentions, links and competitor movement, and connected the results with AI-referred website traffic in a daily view the commercial team could monitor.
What changed
AO gained daily insight into when products appeared, when mentions included a usable link and where competitors were winning instead, alongside AI-referred website visits and their estimated commercial value.
Why it mattered
AI referral became a measurable acquisition channel the commercial team could monitor and act on.
“Before Lindle, we were guessing how often AO appeared in AI assistant answers. Now we have daily insight into when we're mentioned, when we're linked, and where we're missing out vs our competitors. The clarity has helped us strengthen product visibility and improve how customers discover AO through AI-powered search.”
Olivia AskamCommercial Business Partner, AOPriority category growth
BestHeating more than doubled visibility in a priority commercial category.
Targeted visibility
- Visibility in the targeted ceramic-heating cohort
- 6% → 14%
- Visibility in the targeted ceramic-heating cohort
- Mentions that included a link when BestHeating appeared
- ~4 in 5
- Mentions that included a link when BestHeating appeared
How this was measured: Result relates to the targeted ceramic-heating cohort only, not every category or the whole BestHeating brand.
The challenge
Ceramic heating had weak AI visibility, overlapping content and unclear competitor advantages. The team needed to know which pages, sources and actions would make the biggest difference.
What Lindle did
Lindle isolated the ceramic-heating cohort, investigated competitor displacement, citations and content overlap, then prioritised the pages and source actions most likely to improve performance.
What changed
Visibility rose from approximately 6% to 14%. When BestHeating appeared, around four in five mentions included a link.
Why it mattered
The team gained evidence for where to focus its content strategy, rather than relying on broad SEO assumptions.
“Lindle gives us visibility intelligence I haven't managed to find anywhere else, and it's shaping our content priorities.”
Local discoverability at scale
Easy Bathrooms increased showroom-specific visibility from 38% to 82%.
Showroom-specific visibility
- Messages across 11 working sessions
- 270
- Messages across 11 working sessions
How this was measured: Visibility relates to the defined set of showroom-specific questions. The message count describes how content was produced, not a commercial result.
The challenge
Showroom discovery relied on location-specific information, but generic content risked duplication and inaccurate claims around stock, installation, trade pricing and individual locations.
What Lindle did
Lindle became the team's working environment for differentiated showroom FAQs, local discovery content and Simply Install messaging, while retaining approved commercial rules and customer corrections.
What changed
Showroom-specific visibility increased from 38% to 82%. The team used 270 messages across 11 working sessions to create, refine and operationalise local content.
Why it mattered
Local content became a repeatable operating workflow, rather than a series of disconnected writing tasks.
“Lindle has helped us scale local content across our showroom network without losing the detail and accuracy that make each location useful to customers.”
About the results
Different questions need different evidence.
Each case study uses the measure appropriate to the commercial question. Visibility, links, referred visits and estimated revenue describe different parts of the customer journey and should not be treated as interchangeable.
- Revenue estimates are labelled as estimates
- Visibility results relate to the defined question set or cohort
- Observed outcomes are not presented as guaranteed forecasts
What could Lindle uncover for your business?
Start with your website and the commercial question you want to understand. Lindle will help establish the evidence and the most useful next step.