Public relations · Sao Paulo, Brazil · Alerts & monitoring

From bad headline to the account team in minutes

Larissa heads media monitoring at one of Sao Paulo’s largest PR agencies. She looks after forty brands.

Listen to the story:

The challenge

Every morning three interns read the news sites for clients’ names. A bad story posted at nine reaches the account team at three, after the client’s chief executive has seen it. Most days they read four hundred stories to find six.

How the flow works

With xMap Flows, Larissa built Echo. Echo is an AI employee: a flow of 6 blocks.

  1. Every fifteen minutes,

    Every 15 minutes (Schedule)

  2. Echo reads Brazil’s main news feeds,

    Brazil’s main news feeds (News)

  3. keeps the stories it has not seen,

    Not seen before (Only new)

  4. picks out the ones that name a client, with its account lead,

    Stories naming a client (Match with my table)

  5. judges whether each is good or bad news,

    Good, bad or neutral (xMap LLM)

  6. and posts it to that client’s team.

    To the account team (Slack)

What it solves

The result

A critical story about a client’s factory goes up at twelve past nine. By half past, the account team has it, marked bad news, and a statement is out by ten. The interns now write coverage reports instead of reading.

Larissa’s clients used to call her with the news. Now she calls them first.

18 minfrom story to account team
40brands watched
6stories that matter, a day

An illustrative scenario: the figures are modelled to show what the flow produces, not a customer's results.

The flow, block by block

  1. 1

    Every 15 minutes

    Schedule

    Starts the flow on a timetable.

  2. 2

    Brazil’s main news feeds

    News

    Stories from news feeds (RSS or Atom) or a website’s news page: title, link, when, the source and a short summary.

  3. 3

    Not seen before

    Only new

    Lets through only the items this flow has not found before, so a daily flow sends only what is new.

  4. 4

    Stories naming a client

    Match with my table

    Looks each incoming item up in one of your tables or saved lists (My data), for example your customers.

  5. 5

    Good, bad or neutral

    xMap LLM

    Tell the AI what to do in plain words.

  6. 6

    To the account team

    Slack

    Channel-based messaging platform

Templates to build it

Ready-made flows with the same blocks. Open one, change the city and the kind of place, and run it.

Industries

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