See who you're writing for, the language they use, the questions they ask, and what holds them back before the team commits to a topic.

Before choosing topics, find out who will read them and what might move those readers to act. We bring together interviews, search behavior, CRM records, and support conversations to build a sourced view of what your audience needs.

You walk away with a sourced view of who you are writing for, what they ask, and what stops them, with every claim traceable and every remaining assumption marked.

Researcher combining interview notes, search data, and CRM records in an audience map

Some of the 500+ brands we've worked with

See all references
  • Findeks
  • Mustela
  • Red Bull
  • MNG Kargo
  • Yandex
  • Lezzet
  • GoTürkiye

We first gather the available evidence, then narrow it into a brief people can use. Every published claim keeps its source attached.

  1. Start with the decision

    We define what is at stake, whether that's a content investment, repositioning, or sales enablement gap, and identify who needs the answer.

    A concise brief defining the audience question and who will use the answer.

    AI assist
    Agents can pull the decision's existing paper trail together, listing the briefs, tickets, and past research that already touch the question. Which decision the brief has to serve is settled with your team, not from that list.
    Human gate
    Before research begins, the requesting stakeholder confirms that the brief addresses the real question rather than a stand-in for another one.
  2. Gather the evidence you already have

    Most teams already have useful material in interview transcripts, search demand data, CRM notes, and support tickets. We collect it, record when it was created, and identify the gaps.

    An organized evidence set with sources attached and gaps clearly marked.

    AI assist
    Agents make a large transcript or ticket set easier to inspect by grouping repeated language and attaching tags. Each group remains a lead that the research must test.
    Human gate
    A strategist reads the material behind each group before deciding whether it belongs in the evidence set.
  3. Compare the sources

    Search data and customer interviews may point in different directions. We examine where the sources reinforce one another and where the disagreement itself matters.

    A focused list of audience jobs, language, and barriers supported by more than one source.

    AI assist
    Agents can line up search behaviour, CRM fields, and support language side by side and mark where two sources disagree. Reading which source is closer to the truth is the strategist's job, not the comparison's.
    Human gate
    A strategist determines whether a disagreement is a useful finding or simply a data issue.
  4. Turn the patterns into a working brief

    We turn the supported patterns into a practical brief covering who the audience is, what they are trying to achieve, how they describe it, and what prevents action.

    An audience and demand brief designed for the teams that will use it.

    AI assist
    For the first draft, an agent assembles only notes that have already been approved. The source trail remains visible so the strategist can inspect each sentence.
    Human gate
    Before delivery, the strategist follows every draft claim back to the interview, record, or dataset that supports it.
  5. Put the brief to work across teams

    We review the brief with content, product, and sales together so all three teams work from the same interpretation.

    A shared brief with a named owner and a clear trigger for review.

    AI assist
    Agents can prepare team-specific extracts of the brief so sales, product, and support each see the sections that touch their work. Whether the brief actually changed how a team plans is something we ask them in the walkthrough.
    Human gate
    The brief owner confirms that content, product, and sales share the same reading before the findings are treated as settled.

Sorting the evidence is fast. Reading it is the hard part.

Interview transcripts, support tickets, and CRM exports become easier to work with when agents group repeated language and prepare a first summary. We treat that output as an index into the material. A Zeo strategist reads the sources, works through conflicts between search behavior and customer interviews, and is accountable for every claim in the final brief. Private sales notes or product plans stay subject to your team's review before the brief reaches a wider audience.

The brief captures the findings. The source trail behind it is what makes them dependable.

  • an audience persona card

    Audience and demand brief

    A map of audience jobs, language, and barriers to action, with the supporting source shown for each finding.

  • a ledger of link entries

    Evidence and source log

    A dated, permission-aware record of every interview, dataset, and customer record used in the research.

  • a content brief with checklist marks

    Cross-team walkthrough notes

    Guidance for content, product, and sales, along with a clear split between confirmed findings and remaining assumptions.

We call it done when: every claim traces to a real source, the teams using the brief have reviewed it, and any remaining assumptions are clearly marked.

This work gives topic selection a sound foundation. The evidence comes first and the content plan follows it.

A good fit when

  • Your team is funding new content, but the audience case still rests on personas built from assumptions.
  • Your organization already has interviews, search data, CRM records, or support tickets, but nobody has connected them.
  • Product, sales, and content read the audience differently, so topic decisions keep starting from three competing views.

Better handled as other work when

  • You already have a validated audience view and only need to choose the next topics. Keyword & Topic Research is the better fit.
  • A persona workshop needs to turn the room's assumptions into findings, while this research keeps every audience claim tied to a source.
  • You need the brief to guarantee a ranking or conversion. Audience evidence can guide a topic, but it cannot promise either result.
  • SparkToro

    where the audience already spends attention, not just what they search

  • AlsoAsked

    the deeper People Also Ask tree behind the questions people actually ask

  • Google Trends

    checks whether interest is rising, seasonal, or already fading

  • Notion

    the working brief itself, shared with every team that needs it after

  • Google Search Console

    the exact search phrases real visitors already use to reach the site

Send over the interview notes, CRM exports, and support conversations already available. We will show what they say, where they disagree, and what your teams can use with confidence.
Talk to a Content Marketing specialist
Two people shaking hands on the start of the work

Start with whatever is available: support tickets, sales call notes, or search behavior. We mark what the evidence cannot answer, so an assumption never slips into the brief as a finding. The brief also names what to collect next and when to revisit the work. Limited interview data narrows the picture, but it does not make the existing evidence useless.