Sovrn AI

Ask who. Find your customers.

See who your customers are, who else looks like them, and what they read, watch, and buy.

100B+ open-web events a day. Observed reading, watching, and buying.

Why it’s different

Find people beyond preset categories.

Typical tools give you boxes to check.
Describe the customers you actually want, even when no preset category fits.
Typical tools start from preset age and income bands.
Sovrn AI starts with what ~73 million people read, watch, and buy online.
Traditional tools stop at a list of segments.
See your customers, people like them, and the story behind the match.
The data behind it

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

Search observed behavior across 73M+ people. Built from open-web, connected-TV, and purchase signals.

100B+
events a day seen across the open web
73M+
people represented in the latest measured model
26.5M
connected-TV viewers observed every day
151M+
streaming-TV viewing events a day
23.4%
of people show purchase signals
20
behavior attributes summarized for each person

Data as of 2026-07-23

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

One question can move any team forward.

  • Marketers and ad teams

    Skip preset categories. Describe the customers you actually want, then build the campaign around what they read.

  • Founders and product teams

    Validate whether a market exists before you build. Find what your customers also care about. Decide what to ship next.

  • Researchers and analysts

    Map communities that don’t have a name. Track how interests shift over time. Recruit study participants who match a real profile.

  • Writers and creators

    Know who your readers really are. Find what they care about that you have not covered yet. Pick a niche before you launch.

  • Investors

    Get an early read on consumer trends weeks before they hit sales reports. Stress-test a thesis against who actually overlaps.

  • Curious humans

    Find your tribe. Discover hobbies and communities popular with people like you. Get recommendations grounded in what people actually do.

How it works

Ask. Map. Build on the answer.

  1. Describe who you’re looking for.

    Use plain English. No keywords, filters, or preset segments.

  2. See the evidence.

    Sovrn AI matches your description against observed behavior: the customers, a map of people like them, and a brief.

  3. Ask what comes next.

    Explore related groups, inspect the charts, read the brief, or refine your question. All in the same conversation.

Data & privacy

Built on consented data.

Consented at the source
Every signal is collected with consent from the open web, 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 ~73 million people, not a stale list bought from a third party.
Request access

Bring your next customer question.

Turn it into a match, related groups, charts, and a brief you can act on.

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