Prompt

monitor brand mentions news social podcasts

Marketing Services / PR & Communications1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

Here’s a practical way to monitor brand mentions across news, social, and podcasts.

What to track

  • Brand name and common misspellings
  • Products/services
  • Executive names
  • Campaign hashtags
  • Competitor brand names
  • Industry keywords tied to your category

Best sources by channel

1) News

  • Google News Alerts
  • Talkwalker Alerts
  • Meltwater
  • Brandwatch
  • LexisNexis / Factiva for more comprehensive coverage

2) Social

  • X (Twitter) search + alerts
  • Reddit search and monitoring
  • LinkedIn search/manual monitoring
  • Instagram/TikTok listening tools
  • Brandwatch / Sprout Social / Hootsuite for broader social monitoring

3) Podcasts

  • Listen Notes
  • Podchaser
  • Chartable
  • PodScribe / podcast transcription tools
  • Brand monitoring platforms that index podcast transcripts

Setup tips

  • Create keyword sets with variations and exclusions
  • Use Boolean queries where supported:
    • "BrandName" OR "Brand Name" OR misspelling1 OR misspelling2
  • Filter for:
    • language
    • geography
    • sentiment
    • source type
  • Set daily or real-time alerts depending on urgency

Suggested workflow

  1. Collect mentions from all channels
  2. Deduplicate matches
  3. Classify by:
    • positive / neutral / negative
    • media type
    • topic
    • influencer / journalist / customer
  4. Route urgent negative mentions to PR/support
  5. Review weekly trends and share a summary report

If you want a lightweight stack

  • Google Alerts for news
  • X search + Reddit monitoring for social
  • Listen Notes alerts for podcasts
  • Spreadsheet or Notion dashboard to log mentions

If you want, I can also give you:

  1. a ready-to-use monitoring template,
  2. Boolean search strings, or
  3. a tool recommendation list by budget.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.