Research engagements

The question sets the scope.
The evidence earns the next step.

Bring us the decision, uncertainty or claim your team needs to investigate. We define the research worth doing before recommending an engagement.

One specific issue to investigate? A Targeted Diagnostic may suit a narrowly defined factual or positioning question. Scope and availability are confirmed after a discussion.

Discuss a targeted question

Final deliverables, platforms, timing and any recheck are agreed in a written scope. Implementation and continuing monitoring are separate.

What determines the scope

Research effort follows the decision.

The number of markets is one factor. So are buyer scenarios, relevant competitors, AI environments, repeated collection, source inspection, analysis depth and the handoff your team needs.

A written scope makes the boundaries clear.

Before work begins, we agree the research question, coverage, collection approach, deliverables, timing, dependencies and any follow-up. A narrower question can justify a smaller investigation. Multiple dimensions can require custom work.

The output is decision-ready research.

For a flagship or custom study, the scope defines the decision brief, supporting evidence, competitive analysis, source review, priorities and stakeholder handoff. A dashboard view or implementation brief may be useful, but it is not promised as a universal inclusion.

Execution and follow-up are deliberate choices.

Your marketing team or agency can act on the findings. Implementation support, recurring intelligence and rechecks are separate unless explicitly included. No engagement guarantees platform placement, leads or revenue.

Before we scope it

A few practical questions.

How do you price a study?

Our flagship AI Intelligence Study starts at $3,500. The written scope reflects your question, markets, buyer scenarios, competitors, AI interfaces, analysis and deliverables. More complex work receives a custom proposal.

Do you offer smaller studies?

Sometimes. A Targeted Diagnostic may suit one narrowly defined factual or positioning issue. It has a limited scope and does not replace a full competitive study. We confirm fit and availability after discussing the question.

Which AI platforms do you test?

We agree the relevant interfaces for each engagement based on the question and feasible access. We state the chosen platforms and collection conditions in the scope. Every study does not include every AI system.

Can I just ask ChatGPT myself?

Yes. A few questions can be a useful starting point. A structured study adds defined scenarios, repeated observations, competitive comparisons, an evidence archive, clear limits and decision-focused interpretation. If a simple check can answer your question, a paid study may not be necessary.

Do you implement the recommendations?

Our primary work is research and a decision-ready handoff. Your team or agency can execute the work. Implementation support, follow-up measurement and recurring intelligence can be scoped separately when appropriate.

What if the evidence does not support making a change?

That is a useful result. We may recommend leaving something alone, investigating further, or revisiting a question later. An engagement does not need to produce a list of fixes to inform a better decision.

Start with the question

What is your team
trying to figure out?

Tell us the campaign, product, service or market decision you’re facing. We’ll help define whether AI recommendation research can provide useful evidence.