As of 13 August 2026, AI can only partly monitor mentions of your brand on social media.

What to actually do

1. Hand it to a person

   The route this page recommends

   A person who owns the outcome does this end to end, worth it when the failure is dear.

2. Use a tool built for this

   Second choice

3. Do it yourself

   The distant third

   A chat interface, power-user skill, and roughly 1 hour until you can act on the result.

   How to actually do it

   1. Open the social platforms where your brand is active and list the brand name, product names, campaign names, account handles, abbreviations and common misspellings that should be monitored.
   2. Set up the platforms' available searches, notifications or listening feeds for those terms, and export or copy the resulting mentions with the platform, date and URL where available.
   3. Open a separate document and remove passwords, private messages, personal contact details and any customer information that is not needed for triage.
   4. Paste the prompt and the cleaned mention list into a chatbot, then ask it to classify, prioritise, group duplicates and draft response suggestions without publishing anything.
   5. Compare the AI's priority list with the original platform feeds, check every URL and date, and correct classifications where the text does not support the conclusion.
   6. Send high-priority complaints, safety concerns, suspected misinformation and possible legal or regulatory issues to the responsible colleague before anyone responds.
   7. Record the checked issues in your normal customer-service or marketing workflow, and continue collecting fresh platform alerts because the chatbot is not a complete live monitoring system.

   Prompt

   You are helping monitor a brand's social media mentions. Analyse the social media mentions pasted below.
   
   Brand: [BRAND NAME]
   Products, services and campaign names: [NAMES]
   Known misspellings and abbreviations: [TERMS]
   Priority issues: complaints, safety concerns, service failures, suspected misinformation, regulatory concerns and high-reach criticism.
   
   For each mention:
   1. Identify the platform, author, date and URL only when those details are present.
   2. Classify it as praise, question, complaint, service issue, purchase intent, competitor mention, spam, suspected misinformation or other.
   3. Score urgency as low, medium or high, explaining the reason from the text only.
   4. Separate facts stated in the mention from interpretation.
   5. Group duplicate posts and indicate the number of apparent duplicates without claiming an exact reach figure unless it is supplied.
   6. Flag posts that need a human response and explain why.
   7. Draft a short, neutral suggested response only where a response is appropriate. Do not make promises, admit liability, give legal or medical advice, reveal private information or invent facts.
   8. Produce a concise priority list for a UK marketing team, followed by unresolved questions and data-quality limitations.
   
   Do not claim that this is a complete view of social media. Do not infer sentiment, identity, reach or intent when the text does not support it. Do not send or publish anything. Here is the data:
   [PASTE SOCIAL MEDIA EXPORT, ALERTS OR MENTION LIST HERE]

   Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.