Map relevant conversations
Map relevant conversations using the current client listening brief and its supporting records.
CLIENT LISTENING BRIEF / CONVERSATION THEME / SOURCE SAMPLE
AI agent for social listening research providers
Show clients the conversation behind the trend line.
Map relevant conversations, analyse audience themes and deliver sourced listening reports—carried through by an autonomous AI agent that adapts to your work.
A specialised AI agent you can ask for more. Chat here on the site.
$249.00/month, including $50.00 in monthly credits. Monthly subscription. Before tax.
Specialised AI agentYour own report presetNo connection needed to begin
Client listening brief workbenchSPECIALIST / 1104
YOUR SPECIALISED AI AGENT
One place for map relevant conversations, analyse audience themes, deliver sourced listening reports.
MADE FOR YOUR WORKDAYStart with work already on your desk
Your first useful assignment.
Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.
Get my AI agent →YOU COULD ASK
“Investigate the client's category conversation, remove irrelevant matches and deliver a report of recurring needs and objections.”
- Map relevant conversations
- Analyse audience themes
- Deliver sourced listening reports
A useful first result
An editable client listening brief and source sample register with traceable references, resolved discrepancies and specific next actions.
Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.
A conversation at your desk
Investigate the client's category conversation, remove irrelevant matches and deliver a report of recurring needs and objections.
This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.
Illustrative project · configured agent at work
A configured agent with your client listening brief, conversation theme, source sample records, current commitments and the connected accounts used to analyse audience themes.
- Map relevant conversations
- Analyse audience themes
- Deliver sourced listening reports
A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.
- You · Social listening research providers
Investigate the client's category conversation, remove irrelevant matches and deliver a report of recurring needs and objections.
- Your AI agent · AI Agent Store
A shared product name pulls in an unrelated game community. I am correcting the query and rebuilding the affected theme counts.
Work in progress - You · Social listening research providers
Include representative source examples and disclose coverage gaps.
- Your AI agent · AI Agent Store
The report has cleaned theme evidence, documented query changes and practical audience insights with platform limitations stated. Your working files and dashboard reflect the recorded outcomes.
Later · delivery and saved results
CLIENT LISTENING BRIEF / CONVERSATION THEME / SOURCE SAMPLE
A working brief for your AI agent.
Preserve query definitions, platform coverage, dates and actual source examples. Separate bots, repeated posts and irrelevant matches where evidence allows; mention counts alone do not establish public opinion. Your specialist maintains these working records in regular Teams as the assignment develops.
AI
Your AI agentPrepared for social listening research providers
Client listening brief and source sample registerEXAMPLE, NOT LIVE ACTIVITY
An example record for client listening brief, conversation theme, source sample, source samples.
01Client listening brief02Conversation theme03Source sample
The useful next step
Map relevant conversations
Map relevant conversations using the current client listening brief and its supporting records.
From enquiry to a useful next step
Client listening brief and source sample register. Your way of working.
01
Brief and source records received
Add a job reference and the details you already know.
02
Map relevant conversations
Client listening brief and Conversation theme, ready to check.
03
Analyse audience themes
Give your specialist the outcome and let it carry the work forward.
04
Outcome evidence verified
Keep working records in Files and Tasks.
05
Deliver sourced listening reports
Keep the job and its next steps together.
Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.
The details your specialist follows
Working records for social listening research providers
Follow each client listening brief through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.
Keep an eye on: changes in conversation theme, missing source sample evidence and unresolved client listening brief dependencies.
Illustrative working document · your records start empty
| Client listening brief | Dependency to follow | Evidence of completion |
|---|---|---|
| OPPORTUNITY078-104 | Map relevant conversations | Irrelevant match groups resolved |
| OPPORTUNITY078-118 | Analyse audience themes | Audience themes investigated |
| OPPORTUNITY078-126 | Deliver sourced listening reports | Listening report deadlines met |
Active client listening brief records3
Source samples across the planned work180 source samples
Outcomes with supporting evidence2
Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.
Built around the details that matter
Map relevant conversations. With the right questions already in mind.
Ongoing source-backed social conversation research, distinct from posting content and one-off consumer survey projects.
Analyse audience themes
Analyse audience themes while keeping conversation theme changes traceable.
Deliver sourced listening reports
Deliver sourced listening reports with checked source sample evidence and editable working files.
A small tool for a real job
Source samples across the planned work. Before the back-and-forth.
Watch for changes in conversation theme, missing source sample evidence and unresolved client listening brief dependencies. Investigate the cause, carry useful follow-through to completion and improve the saved method when it helps.
Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.
- Client listening brief
- Conversation theme
- Source sample
- Source samples
Try your own numbers
Source samples across the planned work
Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.
Prepared for your business
The numbers behind your ai agent for social listening research providers.
Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.
Recorded cases · outcomes
Listening reports delivered
What this measures
Count one distinct observed outcome for “Listening reports delivered”, linked to its client listening brief and stable completion-event ID. Use the real completion timestamp and supporting source sample reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Irrelevant match groups resolved
What this measures
Count one distinct observed outcome for “Irrelevant match groups resolved”, linked to its client listening brief and stable completion-event ID. Use the real completion timestamp and supporting source sample reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Audience themes investigated
What this measures
Count one distinct observed outcome for “Audience themes investigated”, linked to its client listening brief and stable completion-event ID. Use the real completion timestamp and supporting source sample reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Average · hours
Listening period close to report delivery
What this measures
Measure “Listening period close to report delivery” in elapsed hours using the actual start and end timestamps for the same client listening brief. Store one duration per completed observation with source references and timezone. Exclude pending cases, missing timestamps, reversed intervals and illustrative values. Never substitute a current status or sum recurring snapshots.
Observed rate · %
Listening report deadlines met
What this measures
Completed commitments assessed for “Listening report deadlines met”, linked to stable client listening brief references. Numerator: on_time; denominator: on_time plus late from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Compare actual completion with the original agreed deadline and timezone; never move the deadline to improve the result. Corrections replace the original event instead of counting twice.
Observed rate · %
Sampled matches meeting relevance criteria
What this measures
Completed assessments for “Sampled matches meeting relevance criteria”, linked to stable client listening brief references. Numerator: passed; denominator: passed plus failed from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Apply the documented requirement or acceptance checklist and retain the actual supporting evidence; do not infer a pass from an administrative status. Corrections replace the original event instead of counting twice.
Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.
Keep the tools that already work
Specialised in your trade. Open to your next idea.
Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.
An AI agent prepared for your business
The starting instructions, intake questions and working rules already match social listening research providers. Add your service list and one example of your tone when you are ready.
Give your agent the whole job
Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.
Ask beyond the starting workflows
Your agent can take on a new assignment, build a new workflow, improve its saved methods and adapt its dashboard as your needs evolve. The starting examples do not limit its capabilities. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.
Recommended starting plan
Your AI agent for social listening research providers.
Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.
$249.00/month
Capacity for 1 running agent · hosting throughout the month
Start my AI agent →A clear starting total
Your Agent plan is $199/month with hosting included. This recommended offer adds $50 in monthly Platform Credit funding, for $249/month.
$249.00 before tax today and monthly, including $50.00 in monthly Platform Credit funding.
Credits offer an easy start and unused credits roll over. You can switch to your own subscriptions or API keys anytime, with no Platform Credits needed for that AI work. Hosting is included within your agent’s resource allocation. Optional voice and other services use credits.
Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.
Other plans and connection options →
Prefer your own AI accounts? Choose a plan without the extra $50 monthly credit funding using the options above. Changing AI access alone does not remove that funding. Automatic top-ups start off; buy credits or set top-ups and spending limits when needed. Keep the full Teams controls for models, connections and supported settings.
Before you begin
An AI agent for social listening research providers.
How does the agent keep client listening brief work accurate?
Preserve query definitions, platform coverage, dates and actual source examples. Separate bots, repeated posts and irrelevant matches where evidence allows; mention counts alone do not establish public opinion. It keeps source references with the working files, checks the result and follows up on discrepancies. Ask it to adjust the method or report whenever your needs change.
Is this only for the three tasks shown?
No. This is an AI agent specialised for social listening research providers, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.
What happens after I subscribe?
After payment, we prepare your AI agent for social listening research providers, its workflows and your client listening brief and source sample register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.
Do I need to connect email or messaging?
No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.
Does this replace my existing business software?
Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.
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