Brand mention watchlist and briefing desk

For

PR and communications teams monitoring brand mentions and share of voice

Solves

Mentions, sentiment and competitor share of voice sit in separate rented tools, so briefings arrive late and without a defensible record.

Delivers

Reviewed daily briefing with sentiment and share-of-voice evidence

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce time from mention to reviewed briefing while keeping a source-linked record.

1. Track brand mentions across permitted online sources as they appear.
2. Monitor social media, news, blogs, forums and reviews.
3. Analyze the emotional tone of each mention.
4. Compare share of voice and trends against named competitors.
5. Show share-of-voice breakdown across conversations.
6. Track custom keywords and topics.
7. Send alerts when relevant mentions appear.
8. Generate AI-assisted briefing reports.
9. Identify emerging trends and topics.
10. Measure reach and engagement metrics.
11. Identify advocates and critics in conversations.
12. Flag potential leads from relevant conversations.
13. Expose programmatic access to collected data.
14. Draft suggested replies for human review.
15. Support team roles and shared watchlists.
16. Track specific profiles and their posts.
17. Deliver daily push summaries.
18. Build AI personas from tracked profiles for trend review.

Everything these tools do, in one app

• Real-time mention tracking Tracks brand mentions across online sources as they happen.Found in Mentions, Brand24, Currents AI and 2 more
• Multi-platform monitoring Monitors mentions across many platforms such as social media, news, blogs, forums, and reviews.Found in Brand24, Currents AI, BuzzAbout AI and 2 more
• Sentiment analysis Analyzes the emotional tone of mentions to gauge audience perception.Found in Mentions, Brand24, Currents AI and 4 more
• Competitive benchmarking Compares brand share of voice and trends against competitors.Found in Mentions, Brand24, Currents AI and 1 more
• Share of voice breakdown Shows how prominently a brand features in social conversations compared to competitors.Found in AI Share of Voice Calculator
• Custom keyword tracking Allows users to track specific keywords or topics relevant to their brand.Found in KeyMentions, SocialSignal AI, Remention
• Automated alerts Sends notifications when relevant mentions or discussions appear.Found in Brand24, KeyMentions
• AI-powered reports Generates detailed reports with insights to support decision-making.Found in Mentions, Remention
• Trend tracking Identifies emerging trends and topics from online conversations.Found in Mentions, Brand24, BuzzAbout AI
• Engagement analytics Measures reach and engagement metrics to understand impact.Found in Brand24
• Influencer tracking Identifies key advocates or critics in online conversations.Found in Brand24
• Lead generation Identifies potential customers from relevant social conversations.Found in Currents AI, SocialSignal AI
• API access Provides programmatic access to social intelligence data for custom workflows.Found in Currents AI
• AI-generated responses Generates personalized replies to engage with social media conversations.Found in KeyMentions, SocialSignal AI
• Team management Supports collaboration with role-based access and shared plans.Found in SocialSignal AI
• Profile tracking Tracks specific social media profiles and analyzes their posts.Found in Truffle
• Push notifications Delivers daily summaries of tracked content via push notifications.Found in Truffle
• AI personas Creates AI personas based on tracked profiles to understand behavior and trends.Found in Truffle

What goes in, what comes out

The workflow

1. In
   Start with

   Permitted online sources, tracked keywords, competitor lists and briefing rules

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect permitted online sources

4. 3

   Tracked keywords

5. 4

   Competitor lists and briefing rules

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed daily briefing with sentiment and share-of-voice evidence

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed source list and approved keyword set; final sentiment calls and briefing sign-off remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Watchlist setup, Live mention stream, Briefing and delivery. Use a thumbnail gallery for watchlists, a large central stream of mentions with sentiment and source, and a right-hand panel for competitors, keywords and comments. Let users compare periods side by side. Display new, reviewed and escalated states. Provide a client preview link with comments anchored to the relevant mention. Make the task-specific outcome reviewed daily briefing with sentiment and share-of-voice evidence visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, source versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Brand-owned accounts, authorized source feeds and permitted research sources. Cloud storage, briefing export and messaging destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: track brand mentions across permitted online sources as they appear; monitor social media, news, blogs, forums and reviews. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will PR and communications teams monitoring brand mentions and share of voice use it to solve "mentions, sentiment and competitor share of voice sit in separate rented tools, so briefings arrive late and without a defensible record"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Reviewed briefings per analyst hour and corrections after briefing approval.
4. Measure, then decide. Track reviewed briefings per analyst hour and corrections after briefing approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed source list and approved keyword set; final sentiment calls and briefing sign-off remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: track brand mentions across permitted online sources as they appear; monitor social media, news, blogs, forums and reviews. Support the third module with operator review: analyze the emotional tone of each mention. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed daily briefing with sentiment and share-of-voice evidence. Retain the explicit scope boundary: One fixed source list and approved keyword set; final sentiment calls and briefing sign-off remain editorial.

What the build depends on. Source upload and preview, asynchronous collection jobs, editable version history, reviewer access and tested export formats. High-fidelity monitoring requires specialist communications QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed source list and approved keyword set; final sentiment calls and briefing sign-off remain editorial.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined watchlist package. Offer a monthly monitoring allowance after repeat demand. Quote complex multi-brand or multi-market coverage separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed daily briefing with sentiment and share-of-voice evidence. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce time from mention to reviewed briefing while keeping a source-linked record. Demonstrate a concrete reviewed daily briefing with sentiment and share-of-voice evidence using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

PR and communications teams monitoring brand mentions and share of voice professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed daily briefing with sentiment and share-of-voice evidence from a small authorized input set, with a transparent calculation of reviewed briefings per analyst hour and corrections after briefing approval and no promised savings.

The first 30 days

1. Week 1: interview five PR and communications teams monitoring brand mentions and share of voice and inspect a recent example of mentions, sentiment and competitor share of voice sitting in separate rented tools, so briefings arrive late and without a defensible record.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure reviewed briefings per analyst hour and corrections after briefing approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Reviewed briefings per analyst hour and corrections after briefing approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Reviewed briefings per analyst hour and corrections after briefing approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed daily briefing with sentiment and share-of-voice evidence. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved source lists, keyword sets and review examples, together with reliable delivery for a narrow communications niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for PR and communications teams monitoring brand mentions and share of voice. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Mentions, Brand24, Currents AI, AI Share of Voice Calculator, KeyMentions, BuzzAbout AI, SocialSignal AI, Remention, Truffle and Otterly.ai, plus manual search and spreadsheet tracking. Compare this product with the buyer's present method on reviewed briefings per analyst hour and corrections after briefing approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Source access, collection and storage, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed daily briefing with sentiment and share-of-voice evidence. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve source attribution, quotation accuracy and usage permissions. Communications leads approve substantive briefing changes and publication scope. One fixed source list and approved keyword set; final sentiment calls and briefing sign-off remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.