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Lindle for Demand generation

AI for demand generation: find the next opportunity worth testing.

Investigate new sources of demand and prepare a measurable test.

Discuss your acquisition priorities

Demand generation

Find the next acquisition opportunity worth testing.

Explore where customers discover your business, where competitors appear and which opportunities deserve a focused experiment.

  • Examine emerging discovery channels.
  • Match landing-page work to customer intent.
  • Define success before increasing investment.

Practical use cases

  • Investigate identifiable AI referrals alongside total and organic traffic.
  • Examine relevant buyer questions and competitor appearances.
  • Prepare campaign and landing-page briefs.
  • Define a channel test and its reporting requirements.

Questions you could investigate

  • “Which discovery gaps should we investigate?”
  • “Do these visits lead to the outcomes we care about?”
  • “What would make this channel test worth continuing?”
Work to take into a meeting
A channel opportunity brief with audience, hypothesis, landing-page requirements and success criteria.
Why it helps with leadership
Present a testable opportunity with a clear evaluation plan.
Measures worth agreeing
Qualified visits, enquiries, purchases and acquisition cost where measured.
Capabilities and connections
AI discovery, referral analysis, competitor intelligence, campaign context and measurement planning. Analytics, ecommerce and marketing systems, subject to specific integration support and permissions.

Something useful to take into your next meeting.

An example of the Demand generation work you could prepare.

Channel opportunity brief

Illustrative output

Business question
Which discovery gaps should we investigate?
Evidence needed
Identifiable AI referrals, total and organic traffic, buyer questions and competitor appearances.
Priority
Define the audience, hypothesis and landing-page requirements for one test.

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

Explore the work behind the answer.

Capabilities most relevant to Demand generation.

  • 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.

  • Competitor intelligence

    Relevant competitor appearances and the sources supporting them.

  • Traffic and acquisition

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

  • Campaign performance

    Investigation of campaign results with business context.

  • 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

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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