10x your marketing with agents that listen.

Yes. A marketing engineer takes the problem costing your team the most time, builds the agents for it, and keeps them running as models, platforms and your priorities change. You get the outputs in Slack, email or wherever your team works. Pricing is quoted once we understand what you want built.

Everything you track refreshes daily, and anything you search on demand comes straight from the platforms in real time. Activating an entity backfills about 90 days, and from there the index becomes your archive: a year from now you'll have data the platforms themselves no longer hand back.

Brand names rarely mean one thing: Dove is a soap, a chocolate, and a bird. Before anything enters your index, our agents check each mention is really about your brand and dump the spam, with humans reviewing the work. And nothing is a modeled estimate: every number rolls up from real posts you can click open and check.

Building on it yourself is the whole idea. The part you don't want to own is the plumbing: most platforms have no official API, scrapers break and come back in different shapes, and ambiguous brand names need filtering forever. We handle the collection, cleaning, tagging, and daily tracking. Your team builds whatever it wants on top, and everything you pull is yours to store, warehouse, or ship products on.

Your call. A brand can be Mars, Mars snacking, or just M&Ms, tracked per market if you want, executives' public accounts included. An audience is who you're chasing, in plain words: prospective students, GTM engineers. The narrower you define it, the better we listen. Categories run as broad as athletic wear or as narrow as running shoes.

Just tell us. New brands, audiences, and categories are usually live in the index within a business day, with about 90 days of history backfilled. And you don't have to wait for indexing: the API can also search the platforms live at request time, which covers most one-off research.

Same data, two doors. The MCP server plugs Adveron into the Claude or ChatGPT your team already uses: add it once, no code, and your AI pulls marketing data whenever a question calls for it. The API is for back-end jobs and your own agents. If your team can use a chat window, they can use this.

Dashboards are built for humans clicking through charts. Adveron gives humans and agents the source material: raw posts, ads, and verbatims, not just a sentiment score. Pull the layer you want per call, raw, aggregated, or analyzed. The API gives you everything you need to build whatever you want, not just dashboards.

Yes. Install the MCP connector at the org level and everyone signs in once. On the API, issue scoped keys per team, rotate or revoke them anytime, and share one credit pool or set per-team limits.

You pay a flat monthly fee for each entity you track: a brand, an audience, or a category. Requests against everything you track are unlimited. No seats, no metering, no penalty for reading your own data heavily. Live searches, the ones that query the platforms in real time outside your tracked set, draw from a credit pool instead, priced by the call, with volume discounts as you scale. See the full pricing breakdown →