Brand Mention Monitor

What this agent manifest does

Autonomous brand monitoring — scans, categorizes by sentiment and reach, escalates negative mentions.

Build an agent that scans the web for mentions of your brand, products, or executives via Bing-grounded search, deduplicates results in code interpreter, classifies each mention by sentiment (positive, neutral, negative, crisis) and reach (high, medium, low), and delivers a prioritized summary. It follows different output paths based on what it finds: all-positive gets a standard summary, negative mentions get flagged with context, and crisis-level mentions trigger an urgent header with escalation considerations. It produces the report; the user decides what to do. Findings reflect public information available at the time of the search.

This is an autonomous scan with conditional escalation pattern using numbered-rule prompt structure. The agent makes judgment calls without human input — classifying sentiment and reach and deciding whether something meets crisis criteria (3+ major outlets, legal allegations, viral discussion). Numbered rules create an unambiguous tree: scan → deduplicate → classify → route to the matching output path. The prompt handles brand-name ambiguity (exclude when uncertain), conflicting sources, and the line between editorial coverage and promotion. As an autonomous monitor, its output is a draft for the team to act on.

This pattern applies anywhere an agent monitors a source, classifies by severity, and routes output based on what it discovers. Common scenarios for this pattern:

• Product-review monitoring across platforms
• Social-sentiment tracking for campaigns
• Competitor-announcement detection
• Press-coverage tracking for PR teams
• Community-forum issue escalation

The tools it uses

This manifest uses: Bing Web Search, code interpreter

Use this agent manifest to understand

How to build autonomous agents using numbered rules prompt structure for summary / report output.

This agent manifest is sample code subject to Azure's licensing terms for Distributable Code under the Universal License Terms for Online Services .

IMPORTANT! This manifest is for educational and experimentation purposes. Resulting agents are not production ready. Review all provided resources and carefully test agent behavior in the context of your use case. Agents you create may be subject to legal and regulatory requirements, may require licenses, or may not be suitable for all industries, scenarios, or use cases. By using any manifest, you are acknowledging that resulting agents and other output are solely your responsibility, and that you will comply with all applicable laws, regulations, and relevant safety standards, terms of service, and codes of conduct. Learn more .