An MCP connection that brings ideation and pre-market validation of product features and communications concepts to your LLM, using synthetic personas anchored in real-world geoTribes segments, grounded in deep human insights and your own first-party behavioural data.
Book a demogeoTribes Intelligence is a retrieval-only MCP connection to Claude or ChatGPT that brings synthetic buyer personas into the LLM your team already uses. Each persona is anchored in a real-world geoTribes segment, grounded in deep Human Insights, and can be calibrated to your own first-party behavioural data, so you can run buyer simulations for ideation and pre-market validation without adopting a new platform.
Analysis is anchored in real-world geoTribes segments, not a one-off, tool-specific output.
Personas grounded in the geoTribes Human Insights library of 700+ variables, indexed to national benchmarks.
Calibrate personas to your own first-party behavioural data, optionally extended with third-party banking and loyalty data, without detailed data leaving your control.
Run personas and buyer simulations on your own customised strategic customer segmentation, not only the 15 geoTribes segments.
A retrieval-only MCP connection to Claude or ChatGPT, with no new platform to adopt and your data kept private.
The segments that seed each persona and buyer simulation reach your client touchpoints through the geoTribes Platform: CRM, research, media and geospatial planning.
geoTribes Intelligence draws on the geoTribes Human Insights library of 700+ variables across multiple dimensions, available for each segment both overall and by gender, and indexed to national benchmarks.
Cultural adjustment factors account for variance across five key cultural groups in Australia, so segment profiles reflect cultural-background influences on values, mindsets, media and behaviour.
The motivations and predictions in your buyer simulations are generated mainly from the geoTribes Human Insights data. For additional accuracy, the simulations can be calibrated against the actual historical behaviour of your customers, readily ingested using one of two approaches, neither of which requires raw transactions data to leave your control.
Use Quick Append to tag a sample of your first-party behavioural data with geoTribes segments, summarise it by geoTribes segment and gender to match the structure of the geoTribes library and load that summary into a project in your own LLM. The AI stitches your behavioural data into the geoTribes personas, with no data shared externally.
Provide the summary to RDA and we load it into the geoTribes Intelligence vector database, held exclusively for your organisation under rights management, with the benefit of enhanced semantic search and tighter integration into the personas and buyer simulations.
Either way, your first-party behavioural data, summarised by geoTribes segment and gender, provides a rigorous, real-world context for your synthetic personas and buyer simulations.
Predict how customers are likely to decide in a defined buying situation and get deep insights into their thinking processes. The four-step automated simulation anchors each synthetic persona and buyer simulation to a single segment-by-gender combination and proceeds as a controlled sequence, with the analyst in control at each step.
Once a simulation has run, the session holds a rich, calibrated context of the persona and its responses, ready to be interrogated freely. The suite is built on established behavioural-science theory and calibrates buyer simulations around the most likely decision style for each persona. Outputs are produced as a PowerPoint summary or a detailed methodology PDF.
Run segment-grounded buyer simulations across the questions that shape your strategy.
Model how a target segment moves from trigger to choice, and where it is most likely to stall or switch.
Evaluate positioning concepts against target-segment needs and motivations before launch.
Assess how a new entrant or concept shifts preference share among incumbents.
Compare how key segments rate your website against competitors.
Test which alternative communication themes resonate with each segment.
Identify which features and attributes most drive each segment's choice.
Model how price and packaging shift share of choice and willingness to pay.
Test new retail formats and value propositions through segment-grounded simulation.
Find what would lift a proposition into the consideration set and raise its repertoire rank.
Each simulation returns a share-of-choice across consideration set alternatives and the priorities that drive each decision.
Insight managers, strategic planners and customer analysts use it in mid-to-large corporations and their agencies.
geoTribes Intelligence is a tool they interact with: they frame questions, create personas, run simulations and build a comprehensive picture of buyer decision-making processes, based on the AI's responses. It is most useful where teams need to model how customers decide, or to develop product, proposition and communications concepts ahead of primary research or market testing.
Discover how geoTribes Intelligence can extend your team's market-intelligence capabilities inside the AI tools you already use, with minimal investment and lead time.