Brand24
Social listening platform builds a second product line: monitoring brands in AI answers, not just social mentions.
◆Recent moves
- 13d ago
Add-on: AI Visibility tab – now activate it yourself from your panel
AI Visibility — the tab for tracking how ChatGPT, Gemini, Claude, Perplexity, and Google AIO talk about a brand — can now be activated by users without involving Brand24 staff. New projects get a 14-day trial of 30 prompts across 4 models. Closes the self-serve loop on the AI Visibility product line started by December's LLM Monitoring tab.
View source ↗ - 23d ago
Emotions analysis back in the panel
Emotion analysis — sunset in January for a model upgrade — is back as both a chart and a filter, powered by a new model. Closes a three-month gap on a feature users had been relying on for sentiment-driven analysis.
View source ↗ - 1mo ago
Faster analysis for large projects (new search engine rollout)
New full-text search engine for the largest projects loads filtered analysis views in seconds across hundreds of thousands of mentions. Two real tradeoffs: a 3-month rolling window (older queries fall back to the old engine) and prefix-only text matching, so 'rand' no longer matches 'Brand24'. Enterprise-tier performance work.
View source ↗ - 1mo ago
AVE calculation update: inflation
Advertising Value Equivalent calculation adjusts upward to reflect rising digital ad costs. Applied automatically to new mentions; no user action and no impact on existing data. Routine recalibration of a derived metric.
View source ↗ - 2mo ago
Brand24 ChatGPT App. Your Brand Intelligence, Inside ChatGPT
⚡ SPARKBrand24 became one of the first social listening platforms in the OpenAI App Store, with an MCP-based connection that also works for Claude, Gemini, Cursor, and other agents. Pairs with January's Brand24 MCP server to make brand monitoring data queryable from any AI agent.
View source ↗ - 3mo ago
AVE calculation update: stronger geo-based weighting
Increases the role of country and language signals in AVE so values better reflect local advertising market conditions. Automatic, no user action, no impact on existing data. Routine recalibration.
View source ↗