Sovrn AI
Sovrn AI

Understand. Make better decisions.

Understand your customers, your industry, and your competitors.

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$100 a month.

Every answer starts with ~471M real people.

Your customers. What they do, where they go, things they buy.

Customer Profile kickoff. Describe your customer.
Why it’s different

Real people. Real behavior. Real results.

No more old or questionable data with a patchwork of guessing.
Describe your ideal customer. Real people. In plain english.
Traditional tools show you reused audiences and static taxonomies.
Sovrn AI starts with what ~471 million real people read, watch, and buy online.
Traditional tools stop at a list of pre-defined and stale user segments.
See your customers clearly, discover many more just like them, take action to get more customers - faster.
The data behind it

Built on the whole open-web, not a bought list.

Actual observed behavior across ~471M people. Built from open-web, connected-TV, and explicit purchase behavior.

100B+
events a day across the open internet
~471M
real people represented in the latest measured modelestimated · through 2026-10-11
26.5M
TV viewers observed every daymeasured 2026-07-22
~2.1B
TV viewing events a daymeasured 2026-10-06
3.2%
of people show purchase signalsthrough 2026-10-11
20+
behavior attributes summarized for each person

People and commerce data current through 2026-10-11

From real runs

One question becomes a picture of your customers.

See the evidence, related groups, and next steps behind each prompt.

Prompt

People who shop at Anthropologie

50%

show recent purchase activity

  • #2 commerce destination: anthropologie.com, confirming the match is real
  • Closest related group: women’s fashion magazine readers (25.6%)
  • Surprise finding: 7% also browse Goodwill auctions. Same taste, same price sense.
14 related groupsCampaign planning

Prompt

Marketing creatives who use AI tools for client campaigns

8%

overlap with named AI-tool users: the buyer is AI-curious, not AI-native

  • Top trade-media surfaces: Adweek, Deadline, Hollywood Reporter
  • Closest related group: brand advertising campaign strategy (8%)
  • 30% show recent purchase activity. People who are already buying.
14 related groupsMarket discovery

Prompt

Walmart shoppers

99%

show recent purchase activity, almost unheard of

  • Top branded entity: Persil Detergents at 38%. The laundry brand outranks every actual human.
  • Hidden distribution channel: regional Southern TV stations (WKRG, WJBF, WCHSTV) at 500–800× baseline lift
  • Cross-shopping insight: shopgoodwill.com appears as a real adjacency
14 related groupsMarket intelligence
Who uses it

Better understanding leads to better decisions.

  • Marketers and advertising teams

    Describe the customers you want to reach, then build the campaign around real people and real behavior.

  • Founders and product teams

    Validate a market before you build. Discover what your customers truly care about. Decide what to ship next.

  • Researchers and analysts

    Track how consumer interests and patterns change over time. Understand market trends and consumer behaviors.

  • Writers and creators

    Know who your readers truly are. Discover what they care about. Understand how you can engage them more.

  • Investors

    Get a real-time read on consumer trends before anyone else. Stress-test a thesis. Uncover hidden adjacencies.

  • Curious humans

    Discover consumer habits, behaviors, and product trends. Monitor week-to-week movements in behavior.

How it works

Your Customer. Your Industry. Your Competition

  1. Get started.

    Get smarter over time with scheduled research, skills, and tools.

  2. Truly see your customers. Then find more.

    A portrait of who buys what, where they go and what they do, all grounded in observed behavior.

  3. Get the brief.

    A plan specific to you. Ready to use.

Data & privacy

Built on consented data.

Consented at the source
Every signal is collected with consent, so you always know the data you build on was gathered transparently.
Area context, not personal claims
Where census context appears, it describes the areas these customers are observed in, never an individual person’s age, income, or identity.
Observed, not bought
The picture of your customers draws from observed behavior across ~471 million people, not a stale list bought from a third party.