MCP

AI-agent format

Scout foreign markets through local experts

Filter by spoken language to hear what local operators say about demand, pricing and distribution — without a scouting trip.

Founder / CEOMarket & Competitor Researchdeep_searchdeep_query
The use case

The problem

Expanding into a new country, everything you can read in English is the export version: localized landing pages, analyst blurbs, the odd expat blog. The conversation that decides your fate — local operators talking to local audiences about what actually sells, which channels work, who really owns distribution — happens in the local language, on local channels, and never gets translated.

So companies guess. They hire a consultant who interviews five people, or they land and learn the hard truths with a burn rate attached. Meanwhile the German e-commerce operators, the Japanese SaaS reviewers, the Brazilian retail podcasters are all on YouTube, saying exactly the things you need to hear — in a language your team doesn't scrub videos in.

The mechanics

How veridive MCP helps

deep_search can filter by the language actually spoken in the video — detected from the transcript, not the caption metadata that channels routinely mislabel. Ask for operator conversations about your category in German, Japanese or Portuguese, and the results are genuinely local voices, ranked by transcript relevance, with evidence timestamps marking where your topic comes up.

deep_query closes the language gap: ask your questions in English and it researches across the local-language transcripts, returning a grounded answer — in English — with citations to the second of each local source. What local operators complain about, what customers there expect, how pricing conversations differ: the texture that separates a real market entry from a translated one, without a plane ticket or a translation budget.

Step by step

How to run it

  1. 1
    Connect veridive MCP

    One-time setup: add the veridive MCP server to Claude, ChatGPT, Cursor or any MCP client and generate your API key. Takes about two minutes.

  2. 2
    Find the local voices

    Search your category with the spoken-language filter set to the target market's language. The results are local operators talking to their own market — the untranslated layer.

    Find videos where local operators discuss the <category> market — spoken language <language>, podcasts and interviews preferred — use veridive's deep_search.
  3. 3
    Ask in English, research in theirs

    deep_query reads the local-language transcripts and answers your English question with citations, so the language barrier stops being an information barrier.

    Based on what local experts say: how does the <country> market for <category> differ from the US — demand, pricing expectations, distribution channels? Cite the sources.
  4. 4
    Stress-test your entry plan

    Ask the uncomfortable questions before the board does: what do local players say about foreign entrants, and where have others failed?

    What do local operators say about foreign companies entering <country>'s <category> market? What mistakes come up repeatedly? Citations please.
Before vs after

Problems it solves

  • Everything readable in English about a foreign market is the export version — sanitized, translated, incomplete.
  • The decisive local conversations exist on video but in a language your team can't skim.
  • Caption metadata lies about language; naive filtering surfaces dubbed or mislabeled content.
  • Scouting trips and local consultants are slow, expensive, and sample five opinions where hundreds are published.
The payoff

Why it's valuable

  • Local-market texture — demand, pricing norms, channel truths — before committing entry budget.
  • The language filter works on what's actually spoken, so sources are genuinely local voices.
  • English questions, English answers, local-language evidence — cited to the moment for anyone bilingual to verify.
  • Repeatable per market: the same sweep pattern scouts Germany today and Japan next quarter.
Copy & paste

Example prompts

Find local-operator discussions of the <category> market, spoken language <language> — use veridive's deep_search.
How does <country>'s <category> market differ from the US according to local experts? Cite sources.
What mistakes do local operators say foreign entrants make in <country>? With citations.
Questions

FAQ

How does the language filter avoid mislabeled content?

It uses the spoken language detected from the transcript itself, not the channel's caption metadata — so a video claiming German captions but spoken in English doesn't sneak in.

Do I need to speak the target language at all?

Not to get the intelligence — questions and answers are in your language, grounded in the local transcripts. For verifying specific citations word-for-word, a bilingual teammate or the video itself settles it.

Which markets does this work best for?

Anywhere with an active local YouTube ecosystem — which today is most consumer and B2B markets. The richer the local creator scene in your category, the deeper the read.

Keep going

Related use cases

Run this in your own assistant

Connect the veridive MCP server to Claude, ChatGPT or Cursor and paste the prompts above — setup takes about two minutes.