An agent that listens to what is said about your brand and your market. It reads the social data you are licensed to use, groups mentions into themes, separates a real shift from ordinary noise and suggests where your team should respond or create something.

Social monitoring produces a stream that nobody can read. A dashboard counts mentions and colours them by sentiment, and a spike is noticed only after it has become a problem. What a marketing team needs is smaller: what are people actually saying this week, is any of it new, and is there one thing worth answering.

This page describes a workflow we propose to build as a custom project. It does not exist as software yet. It would reuse the theme and approval patterns from our social media demonstration, where nothing is published without a named approval. Access to licensed social data, theme detection and trend comparison are not built.

02Step by step

From the First Signal to the Record

An example of one case, in 6 steps. The same steps play in the picture at the top of this page.

Data collected

Mentions of your brand and two product names arrive from your licensed provider.

Themes formed

They group into delivery complaints, praise for a new feature and questions about pricing.

Trend tested

Delivery complaints are three times the usual level and come from many different people.

Alert sent

The operations lead receives the theme with ten example posts and the regions involved.

Response suggested

The agent suggests one public update on delivery times and lists questions to answer directly.

Report written

The weekly summary shows the theme rising, the response and what happened after it.

03Social listening agent

Six jobs it carries through

Licensed collection

Gathers mentions from sources you may use.

Platform interfaces and licensed providers
The brand, product and topic terms you set
Languages you choose
A note of what each source does not cover

Works inSocial data providers

Where it stopsNo scraping, and nothing outside your licence.

04Today

Where the Time Goes Now

Counting instead of reading

The report says mentions rose and does not say what about.

Sentiment that misreads

Sarcasm is scored positive, and a joke is scored as a crisis.

Noise mistaken for a trend

One loud account looks like a movement.

Late to the problem

A complaint spreads for two days before anyone on the team sees it.

Data taken without permission

Scraped posts are stored with no licence to hold them.

Insight with no owner

The report is read and nobody is asked to do anything.

→Request a quote

What We Need to Scope This

The process as it runs today, in a few lines.
The systems it touches, for example social data, topics, normal levels, alert rules.
Rough monthly volume, and who approves what.

Request a quote Book a 30-minute callA quote starts from a written scope, so that the figure means something.

05Scope

The Systems Around It

The systems named here are the kind this agent works with. Which ones it connects to in your case is settled in the scope.

Social data

Platform interfaces
licensed listening providers

Topics

Brand, product and competitor terms you maintain

Normal levels

Your past volumes, for comparison

Alert rules

What counts as urgent, and who is told

Content planning

Your editorial calendar

Reporting

A weekly or monthly summary

06Operating boundaries

It Listens Within Your Licence and Suggests, Never Posts

The agent reads only the data your agreements with platforms and providers allow, and it says what those sources leave out. Its output is for your team: themes with examples, alerts with reasons, suggestions with their logic.

It does not reply, post or contact anyone. A suggested response goes through the same approval as any other content.

Licensed data only
Example posts behind every theme
Spikes checked for a single source
Alerts to a named person
No posting or replying
Data limits stated in every report

07Questions

Straight Answers

How is this different from the social media management agent?

The management agent plans and publishes your own content. This agent reads what other people post. Its findings feed the plan: a theme worth answering, a question that keeps coming up. Publishing still goes through the management agent's approval.

How is this different from the review and reputation agent?

Reviews are written on review sites about a specific experience, and each deserves a reply. Listening covers open social conversation, where most posts need no answer and the value is in the pattern.

Which platforms can it read?

Those whose data you can lawfully access, through the platform's own interface or a licensed provider. Coverage differs a lot between platforms and changes often, so the first step of a project is confirming what your licences include.

What exists today?

Not as software yet. This page describes a proposed workflow. It would reuse the theme and approval patterns from our social media demonstration, where nothing is published without a named approval. Access to licensed social data, theme detection and trend comparison are not built. A project starts by mapping your process, then proving the first steps on test data before anything touches a live system.

Start a project

Start With What You Are Already Licensed to Read

Tell us which listening tools or platform access you have. We will show what a week of that data says when it is grouped into themes.

Start an AI agent project Book a free 30-minute consultation

Response within 24 hoursFree consultation and scopingNDA available on request

AI Social Listening and Trend Agent Development