01
Define the question.
Agree the decision, buyer situations, market boundaries, competitors and AI interfaces.
AI Market Intelligence
Your business
has questions.
We design the research to answer them.
Know how AI assistants present, compare and recommend businesses for your buyers’ needs. Bring us the decision. We’ll design the study and deliver the evidence to help you make it.
AVANTRIX / RESEARCHMETHOD PREVIEW
What does AI tell
your next customer?
01
The business questionA decision worth investigating.
02
The observed evidenceBuyer scenarios. Answers. Sources.
03
The justified next moveA clear research-to-decision handoff.
Question-led intelligence
The output
A stronger business decision.
With the evidence behind it.
Built around the decision. Grounded in evidence.For marketing leaders, growth teams
and the agencies alongside them.
and the agencies alongside them.
Start with a real business question
What do you need
to understand next?
A campaign to shape. A capability to clarify. A market to enter. The question determines what we investigate and what a useful answer looks like.
01
Are we positioned for the buyers our campaign is targeting?
Campaign & messaging
02Why does AI keep getting our service or product wrong?
Portrayal & accuracy
03Which competitors make the shortlist for these requirements?
Competitive consideration
04Does the answer change when we enter a new market?
Market & location differences
Examples of questions a study can inform. Research does not guarantee a particular finding or marketing outcome.
The blind spot
Your analytics don’t show the whole buying journey.
Buyers can ask AI who to trust, what fits and which options to compare before they reach your website. The traffic you see rarely tells you what those answers said.
Who gets recommended
Where your brand and competitors appear in the tested buyer situations.
How the options are framed
The strengths, limitations and use cases AI associates with each business.
What the evidence supports
Important facts, citations and information gaps behind the observed answers.
What deserves attention
A supported next move for your marketing team, with the limits made clear.
The research process
From uncertainty
to an informed next move.
We design the investigation around a decision, then make the path from question to evidence to interpretation inspectable.
02
Observe & compare.
Test representative questions, preserve answers and compare the alternatives that appear.
03
Inspect the evidence.
Review important facts and sources. Separate observed patterns from possible explanations.
04
Inform the decision.
Deliver findings, justified priorities and a practical handoff. Recheck when agreed in scope.
Representative buyer scenarios. Documented conditions. Human interpretation.
Explore the methodologySee the thinking, not just the promise
What useful intelligence
can look like.
Explore a fictional research example. The value is the connection between what was observed and the decision it can responsibly inform.
Illustrative study / not client resultsFollow a question
Follow a question
through the research.
Before launching our campaign, how does AI compare our offer for buyers who need a specific integration?
01 / Study design
Define the integration requirement, buyer context, relevant competitors and AI interfaces. Compare discovery, filtering and shortlist questions.
02 / Fictional observation
A fictional assistant lists another provider for the integration. Our example brand is mentioned, but its capability is described as unclear.
03 / Evidence to inspect
Compare the answer with current integration documentation and cited pages. Check whether the pattern repeats under the agreed conditions.
04 / Interpretation
An information gap is a hypothesis to investigate. A single answer does not establish its cause or show that real buyers chose a competitor.
A possible decision
Ask product marketing to verify the public integration guidance before committing campaign budget. Agree a bounded follow-up test if useful.
Methodology demonstration only. All scenarios and observations are fictional. No live AI query is run here, and no client outcome is implied.
01 / Clarity
A decision-ready brief.
The finding, the qualifications and the practical implications for the decision you brought us.
02 / Evidence
The work behind the answer.
Observed AI responses, relevant comparisons and source investigation, with tested coverage stated.
03 / Direction
A handoff your team can use.
Supported priorities and action ownership. Handoff materials and follow-up are defined in scope.
Research engagements
The right research starts
with the right question.
We recommend the smallest defensible scope for what you need to learn. One meaningful question can be a focused study. Broader decisions need a custom design.
01 / The flagship engagement
AI Intelligence Study
From$3,500
“How does AI position our offer against competitors for the buyers we need to reach?”
One consequential business question. A defined market or buyer segment. A structured investigation that gives your team a defensible next move.
- Agreed buyer scenarios and AI interfaces
- Recommendation and competitive evidence
- Relevant source and factual investigation
- A decision-ready research brief and readout
- Practical priorities grounded in the findings
02 / A broader research question
Custom Market Intelligence
Custom proposal
“How does that competitive picture change across markets, services or buyer groups?”
For decisions that need a wider lens. We design the comparative research around your business, then quote the investigation in writing.
- Multiple markets, regions or locations
- Product, service and buyer-segment comparisons
- Complex B2B shortlists and requirements
- Tailored analysis and executive synthesis
- Agreed reporting, handoff and follow-up
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 questionFinal deliverables, platforms, timing and any recheck are agreed in a written scope. Implementation and continuing monitoring are separate.
Who we work with
For teams making
consequential marketing decisions.
01 / Regional & multi-location
A different picture
in every market.
Compare brand portrayal, local recommendations and service accuracy where your business competes.
“Where should we focus first?”
02 / B2B & considered purchases
Shortlists with
specific requirements.
Investigate how AI interprets capabilities, filters options and compares your offer against alternatives.
“Are buyers hearing the right story?”
03 / Franchises & expansion
Decisions beyond
a single location.
Explore differences between established and prospective markets, with meaningful boundaries.
“What changes when we expand?”
Add AI recommendation research without building an internal research team.
For agencies: bring a defined client question. Avantrix investigates the evidence and prepares a practical handoff. Your team owns the relationship and execution.
Discuss an agency pilotQuestions, answered
Evidence before
recommendations.
We show what was tested, what appeared and which conclusions are reasonable.
What exactly does Avantrix do?
We start with what your team wants to understand or decide. We design a study of how AI assistants handle relevant buyer scenarios, then investigate recommendations, competing options, factual accuracy and sources. The result is evidence and interpretation aimed at that decision.
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.
Can you guarantee better rankings or more leads?
No. AI systems change, and tested recommendations are not a direct measure of bookings or revenue. We identify supported priorities and can repeat agreed tests when a recheck is in scope.
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.
Can you see actual prospects’ private AI conversations?
No. Standard Avantrix studies observe AI answers to representative buyer scenarios. They do not access individual prospects’ private conversations.
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.