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Lindle for Ecommerce

AI for ecommerce teams: turn a large catalogue into a focused plan.

Prioritise improvements across products, categories and the buying journey.

Discuss your ecommerce priorities

Ecommerce

Turn a large catalogue into a focused work plan.

Start with the categories and journeys that matter commercially. Lindle helps investigate available page and performance evidence and prepare work for the people delivering improvements.

  • Focus on commercially important pages.
  • Investigate product-information gaps.
  • Coordinate content, merchandising and technical work.

Practical use cases

  • Investigate weaker categories and landing pages.
  • Review product information and buying guidance.
  • Compare representative pages across shared templates.
  • Prepare a prioritised catalogue-improvement brief.

Questions you could investigate

  • “Which category deserves attention first?”
  • “What product information might customers need here?”
  • “Which findings could affect other pages using this template?”
Work to take into a meeting
A category improvement plan with page examples, recommended work, owners and completion checks.
Why it helps with leadership
Show a manageable plan for a complex website.
Measures worth agreeing
Category revenue, product conversion and relevant journey events where available.
Capabilities and connections
Website investigation, connected commerce signals, product-content preparation and action prioritisation. Analytics, ecommerce and marketing systems, subject to specific integration support and permissions.

Something useful to take into your next meeting.

An example of the Ecommerce work you could prepare.

Category improvement plan

Illustrative output

Business question
Which category deserves attention first?
Evidence needed
Representative category and product pages, available performance data and shared templates.
Priority
Recommend the work for the chosen category, with page examples.

Illustrative output. Actual work depends on your question, available evidence and agreed scope.

Explore the work behind the answer.

Capabilities most relevant to Ecommerce.

  • AI discoverability

    Buyer questions, mentions, recommendations and citations across leading AI assistants. This describes AI visibility, not traffic or revenue.

    About factual reinforcement

    Verified facts can be supplied in separate follow-up conversations. Those responses are assessed separately from independent discovery.

  • Traffic and acquisition

    Channel and landing-page investigations, including observed AI referrals where they can be identified.

  • Website and product pages

    Reviews of selected pages and journeys, agreed for scope.

  • SEO and content

    Research, briefs, FAQs and draft improvements for review.

  • Prepared work

    Briefs, plans, drafts and measurement specifications.

Work with the systems your team already uses.

Start with the question you want to answer. Agree which sources, connections and permissions are needed to investigate it.

For this role: Analytics, ecommerce and marketing systems, subject to specific integration support and permissions.

Specific connections, supported actions and access are agreed first. See available connections

New in the role? Start with a useful decision.

  1. 1

    Establish the starting point

    Choose a business question, available evidence and agreed definitions.

  2. 2

    Identify a priority

    Investigate the findings and decide what deserves attention.

  3. 3

    Prepare the work

    Create a brief with an owner, review requirements and success measure.

  4. 4

    Review what changed

    Check delivery, examine the results and decide what to do next.

A suggested working approach, not a guaranteed delivery timetable or a description of the trial scope.

See how teams have put Lindle to work.

  • AO logo

    Acquisition and commercial measurement: AO made AI-referred demand a measurable acquisition channel.

    £1m+ More than £1 million in estimated revenue from AI-referred visits over 12 months.

    Read the AO case study
  • BestHeating logo

    Category investigation and content priorities: BestHeating focused content work on a priority commercial category.

    More than 2× Targeted visibility

    Read the BestHeating case study

Observed customer outcomes are not guaranteed results. Each story uses the measure appropriate to its question. All case studies

Frequently asked questions

What is Lindle in simple terms?
Lindle helps teams investigate business questions using relevant evidence, prepare practical work and review what changes.
How does Lindle fit alongside our CRM and analytics?
Your existing systems hold important information. Lindle can use supported, permissioned connections to help investigate questions across relevant sources and prepare next steps.
Do I need to understand AEO or GEO?
No. Start with a question about customer discovery or business performance. The terminology can be explained as it becomes relevant.
Can Lindle help prepare work?
Yes. Depending on the agreed task, work can include research, briefs, draft content, action plans and measurement specifications.
Can our agency use it with us?
Lindle is designed to support shared evidence and clear ownership alongside your internal team and specialist partners.
What happens before an external change?
The work requires the appropriate permissions and approval.
What is included in the free trial?
Your 14-day trial starts when you sign up. Daily AI visibility reports begin after you finish setup and review your questions. Connect Google Analytics 4 and complete the first analytics report within those 14 days to extend your trial to 30 days in total from signup. No credit card. No automatic billing. Any paid continuation is agreed with you. The trial includes your visibility baseline, daily observations and evidence to explore. An introductory conversation helps you consider the next step. Specialist implementation and wider programmes are scoped separately.
How do we measure value?
Agree the decision, starting point, work delivered and relevant outcomes. Commercial return needs suitable outcome and cost data.

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