How Brands Are Putting Morning Consult’s AI Connector to Work

So much of what gets said about AI in market research is theoretical: what it will do, someday, for someone. So our team asked the people already using Morning Consult's AI Connector (MCP) what they have actually built with it. Our clients are solving real problems, sometimes in ways we hadn't even anticipated.

But First, What Is an AI Connector (MCP)?

The AI Connector lets you query Morning Consult Intelligence inside the AI assistants (Claude, ChatGPT, Gemini) your team already uses. Ask a question in plain language and it hands back live data, ready to analyze: re-slice by audience, benchmark against competitors, add a market, or turn the result into a presentation-ready table, all in the same conversation. The experience is simply a conversation, collapsing work that used to take days into something closer to minutes.

Here are three ways clients are using it:

Combining Brand Metrics With Internal Revenue Data to Forecast Performance

A restaurant brand connected Morning Consult brand metrics with its internal revenue data through the AI Connector to see which signals actually predicted business performance. By asking their AI assistant to chart purchase intent alongside reported revenue, the team discovered that purchase intent consistently moved ahead of revenue. Instead of waiting for quarterly financials, they gained a leading indicator they could use to forecast performance and identify shifts sooner.

Using our AI connector, we tested this same idea on Mediterranean fast-casual chain CAVA by pairing Morning Consult's daily purchase intent tracking with CAVA's reported revenue per operating week across 11 fiscal quarters. The two move together: as consideration among U.S. adults climbed from roughly 9% to 15%, weekly revenue nearly doubled — a strong statistical relationship (0.80 correlation), with intent moving about a quarter ahead.

Purchase Intent peaked in early fall 2025 and cooled steadily through the winter; Cava's fourth-quarter results, reporting same-store sales of just 0.5% and declining traffic, didn't reach investors until late February. Morning Consult’s daily data showed demand softening roughly three months before the quarterly print confirmed it.

The late divergence in the chart above is exactly why the two signals are worth watching together: new restaurant openings kept revenue climbing even as the survey data showed underlying consumer demand softening. Always-on measurement won’t replace your financial reporting, but it can help you know where you’re going.

Comparing Brand Trust Across Global Markets in a Single Query

A global social platform wanted to understand how trust among sports fans was changing across its key markets. The team used the Morning Consult AI Connector (MCP) to compare the U.S., U.K., and Australia with a single query. Within seconds, they confirmed that favorability was rising across every core market, drastically reducing the time required to generate global insights.

Using our AI Connector, we put this to the test on X. One plain-language question ("Can I see net favorability of X trended on a quarterly basis in the U.S., the U.K., and India amongst the general population?") returned two years of quarterly data across all three markets, drawn from thousands of interviews per market each quarter.

For a global brand or media team, this shows why market-level measurement matters. A single worldwide favorability number would average these three realities into analysis that obscures what’s actually happening, which is a brand that faces wildly different perceptions from one market to the next.

Automating Quarterly Board Reporting Across a Brand Portfolio

An organization used the Morning Consult AI Connector (MCP) to streamline quarterly board reporting across its five portfolio brands. They built a suite of per-brand Claude skills that pulled the full brand funnel with demographic cuts and competitor benchmarks before generating presentation-ready tables and charts. The workflow replaced hours of manual platform pulls and Excel macros, automating roughly 90% of the reporting process.

To show what those per-brand reports actually look like, we rebuilt one using the AI Connector — this time on Olay, the P&G skincare brand. A single pull returned the brand's full funnel among U.S. women (buzz, trust, value, purchase consideration, and NPS) cut by age group and benchmarked against the prior quarter, with the summary paragraph up top written directly from the numbers. What you see below is the finished product: no dashboard exports, no cross-tab requests, no Excel macros.

This exercise demonstrates why this workflow matters beyond the time savings: it surfaced a real tension worth a board's attention. Olay's funnel broadly strengthened this spring. Trust, buzz, and consideration all improved, with women 30–44 up on every metric. Meanwhile, NPS softened across most age groups. Metrics moving up and satisfaction drifting down is exactly the kind of divergence that gets lost when reporting is a copy-paste exercise, and exactly what surfaces when the data assembles itself and the analyst's job starts at interpreting.

Frequently Asked Questions

What is an AI Connector (MCP)?

An AI Connector, also known as MCP (Model Context Protocol), is an open standard that allows AI assistants like Claude, ChatGPT and Gemini to connect directly to external data sources in real time. The Morning Consult AI Connector uses this standard to give AI assistants direct access to Morning Consult's consumer intelligence database, built on 100M+ survey interviews across 48 countries and updated daily with 30,000 new surveys. When you ask your AI assistant a question using Morning Consult data, the connector retrieves actual survey results, sample sizes, and methodology notes in real time, rather than relying on manual data exports or copy-pasting.

How is this different from Morning Consult Intelligence?

Morning Consult offers three pathways to access its data and insights. Morning Consult Intelligence is the full platform: dashboards, self-serve exploration, and agentic reports. The API and bulk data products are for teams who want to pipe Morning Consult data directly into their own systems. And the AI Connector is for teams who want to access Morning Consult data inside the AI tools they already use. All three draw from the same underlying dataset. The connector doesn't replace the platform; it extends it.

How is this different from Morning Consult’s AI Chat?

The AI chat capability available in the Morning Consult Intelligence platform is purpose-built with guardrails and analytical context optimized for Morning Consult data. The AI Connector brings that same data into your own AI tools, where you can combine it with the full capabilities of your personalized workspace: other tools, uploaded files, web search, document creation, flexible data visualization.

Who generates the analysis: Morning Consult or my AI tool?

The data comes from Morning Consult. Claude, ChatGPT and other tools use that data to generate answers, visualizations, and narrative, guided by Morning Consult's methodology and expertise baked into the connector. You can ask your tool to show its work at any time, which will help you see exactly what data was pulled from Morning Consult and how it was used.

How often is the data updated?

Morning Consult fields 30,000 new surveys every day across 45+ countries. That means the data available through the connector reflects what consumers are thinking and doing right now. Most brand and consumer metrics are updated daily, so when you ask a question through the connector, you're getting an answer grounded in the freshest available data, not a static snapshot.