Getting the world's most-cited data company discovered across the AI ecosystem

Statista is the category leader for trusted market data. Consultants, analysts, and strategy professionals already rely on Statista for citable numbers, market sizes, and forecasts. But the way those users find data is shifting fast.

Discovery is moving from search bars and app stores into conversations with AI assistants. If your data is not reachable inside the tools where work actually happens, you are not going to be used in the workflows that matter most or be available at the exact moment of intent.

Statista had already moved early. Their MCP was available in Perplexity, Copilot, and Langdock. The next question was how to go deeper, win the ChatGPT App Store, and build a repeatable playbook for being discovered across every major AI ecosystem.

• Discovery was fragmenting. Every major LLM platform had its own app store, MCP spec, and distribution model, so winning one surface was not enough.
• Trust was the moat. Statista's value is the source, methodology, and date on every statistic, and any AI-surfaced answer had to preserve that.
• Speed mattered. Being early on ChatGPT Apps, MCP, and the intent-based web was a time-limited advantage.

Ingo Schellhammer

CTO, Statista

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The intent-based integration of apps provides exciting new possibilities for professionals to combine the convenience and flexibility of LLM-based research with well-grounded facts and insights from trusted sources like Statista.

Ghost Team partnered with Statista as an embedded strategy and build team focused on one outcome: making Statista the default cited-data answer inside every major AI assistant.

• Education: Elliot flew to Statista's Hamburg HQ to present to product and tech teams on the intent-based web, the early signals coming out of the ChatGPT App Store, and what being discovered in an agent-first world actually requires.
• Strategy and intent mapping: We ran workshops across mission alignment, market intelligence, product scope, and conversion. We analysed 50,000 anonymised prompts, cross-referenced them with Statista's API usage data, and benchmarked 100+ live ChatGPT apps to land on a narrow, high-intent MCP App.
• Technical build: We shaped the tooling architecture, authentication, data protection, and widget behaviour so trusted data could be surfaced reliably inside the assistant without putting premium IP at risk.
• Conversational testing at scale: We ran high-fidelity simulator testing with synthetic consultants, analysts, and strategy professionals so we could tune invocation, relevance, citations, multilingual handling, and graceful degradation against realistic assistant behaviour.
• Submission, launch, and ongoing discovery: We worked hand-in-hand with OpenAI through review, supported launch into the ChatGPT App Store, and stayed embedded afterward to keep improving discoverability across ChatGPT, Claude, Copilot, and other emerging surfaces.

Ingo Schellhammer

CTO, Statista

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LinkedIn

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Thanks for the inspirational and well-grounded talk on observations from the early weeks of the ChatGPT app store and the next steps to expect.

Statista is not just in the AI conversation. They are positioned to own the trusted-data slot inside it, with the users who will define the next decade of their business.

• Statista is now present in the workflows of consultants, analysts, and strategy professionals at the exact moment a credible number and source are needed.
• The team now has a high-conviction, niche-winning app rather than a generic data search experience.
• The same MCP App can now roll out across Claude, Copilot, and other AI surfaces, creating distribution that compounds.
• Statista's tools are now live inside ChatGPT, giving the team real invocation signals they can use to keep tuning how agents reach for Statista.
• The work has moved from simply being present to competing to be the answer the agent reaches for first.