Switch GWI on in Claude, ChatGPT, Copilot or an AI tool you’ve built, and your team can ask what people think, feel and do in plain language. Every answer comes back with the audience, sample and source behind it, drawn from data representing 3.5 billion users worldwide.
Connect the way that works for you
No build required
MCP connectors
Switch GWI on in Claude, ChatGPT or Copilot, then ask questions and use GWI data directly inside the tool your team already works in. No development work needed.
You build the experience
MCP via token
Give an AI tool or agent you’ve built access to GWI consumer data, so it can use that alongside your own sources.
You build the experience and we provide the consumer data and tools behind it.
Why MCP works for audience insight
Ask questions about your audience in the AI tool you already use and get a sourced answer back. No specialist request to raise and no new platform to learn.
Make the answer easier to trust
Every answer includes the audience, sample size and source, so people can see exactly what it’s based on before they use it.
Stay in the tools you already know
Ask audience questions in Claude, ChatGPT or Copilot without opening another platform or having to learn new ones.
Keep everyone working from the same definitions
Use agreed audience groups across the business, so the same question doesn’t come back with different numbers.
Take routine questions off the insights team’s plate
Let teams handle routine questions themselves, giving researchers more time for deeper work.
Ask the question. Get the data behind the answer
Profile an audience. Check an assumption. Understand what people buy, watch, think or believe. Pull evidence into a brief or pitch. Simply ask your question in natural language and GWI finds the consumer data behind the answers you need.
Open up access. Keep control.
Your insights team can define the audience, markets and data people should work from. Those choices carry through MCP, so teams can self-serve without creating their own definitions or going outside the boundaries you’ve set.
The audience, sample and source can stay with the answer too, so people can see what a number is based on before they use it.
Generic LLM
No audience. No sample. No source — and a different answer next time.
LLM & GWI Data and Guardrails
Same audience. Same source. For every question you ask.
Real consumer data, right when you need it
Mid-brief
A planner checks an audience assumption without switching tools.
Mid-pitch
A seller pulls consumer evidence into the conversation while they’re building the case.
Inside your own AI
An internal agent uses GWI alongside your company’s own data to answer consumer questions.
Grounded in real people
Data points a year
45bn
Global markets
100+
Years of survey data
17
Survey responses a year
5.5m+