What Can You Ask Fodda?

Industry analysis. Competitive intelligence. White space discovery. Expert perspectives. Fodda answers the research questions that generic AI can't, grounded in 250+ knowledge graphs — 160+ expert collections and 80+ live institutional sources.

Six Ways to Use Fodda

Whether you connect via Claude, Gemini, Copilot, or the API directly — these are the types of questions where Fodda delivers expert-grade answers.

Trend Synthesis

"What are the 5 biggest shifts in retail customer experience for 2026?"

Named trends, brand case studies, and lifecycle stages synthesized across retail knowledge graphs.

Market White Space

"Where are the unoccupied opportunities in beauty wellness?"

Cross-graph pattern matching and opportunity maps for emerging consumer signals.

Competitive Moves

"How are sports brands responding to the rise of women's athletics?"

Tracked brand activations, sponsorship intelligence, and campaign evidence across sports and culture graphs.

Consumer Decode

"What is driving Gen Z purchasing behavior in luxury?"

Behavioral signals from 250+ knowledge graphs — 160+ expert collections, cultural insights from Pew data, quantitative backing from Census.

Data-Grounded Trends

"What does BLS employment data tell us about the retail labor market?"

Institutional data (BLS, Census, FRED) cross-referenced with expert trend analysis.

Corporate Strategy

"How are Fortune 500 retailers talking about AI in their latest earnings calls?"

SEC 10-K disclosures, 8-K filings, and earnings call transcript excerpts linked to industry trends.

Try These Prompts

Real prompts you can paste into Claude, Gemini, Copilot, or any MCP-connected AI. Each one demonstrates a different way Fodda grounds your research.

Retail CX Shifts 2026

"Analyze the top 3 retail customer experience shifts for 2026. For each shift, cite 2 brand examples, the underlying consumer behavioral driver, and relevant macroeconomic data from Census or FRED."

Beauty Wellness White Space

"Identify 3 underserved opportunity spaces at the intersection of beauty and mental wellness. Cross-reference emerging brand signals with clinical research trends."

Gen Z Luxury Behaviors

"What cultural and economic factors are driving Gen Z purchasing in luxury fashion? Compare signals from expert trend research with Pew Research baseline data."

Grocery Tech ROI

"Synthesize case studies on smart cart and computer vision checkout adoption in grocery retail. What are the reported ROI metrics and consumer friction points?"

Sports Sponsorship Trajectory

"Analyze emerging sponsorship models in women's professional sports. Which brand categories are investing fastest, and what activation formats are proving most effective?"

Sustainable Packaging Regulation

"What extended producer responsibility (EPR) regulations are impacting CPG packaging in the EU and US? Link regulatory timelines to brand innovation responses."

Connect in 3 Lines

Add Fodda as an MCP server to your AI workflow. Works with Gemini, Claude, Copilot, or any MCP-compatible client.

import { GoogleGenAI } from '@google/genai';

const client = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });

const interaction = await client.interactions.create({
  agent: 'deep-research-preview-04-2026',
  input: 'Research the top 3 emerging retail trends for 2026, grounded in expert analysis and institutional data.',
  tools: [
    { type: 'google_search' },
    { type: 'url_context' },
    {
      type: 'mcp_server',
      name: 'Fodda Research',
      url: 'https://mcp.fodda.ai/c/YOUR_CONNECTION_TOKEN',
    }
  ],
  agent_config: {
    type: 'deep-research',
    thinking_summaries: 'auto',
    visualization: 'auto',
  },
  background: true,
  stream: true,
});

What Powers Every Answer

Every Fodda response draws on expert-curated knowledge graphs and institutional data — not just web search.

  • Google Search + Fodda expert data: Web intelligence grounded in expert-curated knowledge graphs.
  • Streaming progress: Real-time thinking summaries so you can watch the agent reason.
  • Auto-generated visualizations: Charts, trend constellations, and competitive maps rendered inline.
  • 160+ expert collections: Expert, curated, and industry report collections across retail, beauty, sports, and more.
  • 80+ institutional sources: Census, BLS, FRED, BEA, Google Trends, Pew, OpenAlex, corporate earnings, and more.

When to Use Which

Standard Gemini + Fodda MCP is best for quick lookups. Deep Research is for comprehensive analysis.

  • Quick trend search: Best with Standard Gemini + Fodda MCP (~$0.01–0.05 per query).
  • Evidence lookup: Best with Standard Gemini + Fodda MCP.
  • Deep industry analysis: Autonomous multi-turn research with Deep Research + Fodda.
  • Multi-source synthesis: Automatic cross-graph traversal and citation synthesis.

Try It Yourself

Get your Fodda API key and start asking expert research questions in under 3 minutes. Connect at app.fodda.ai or browse all graphs at fodda.ai/graphs.