Monitorare le menzioni AI del proprio brand

In FirstPosition.ai create an alert by navigating to Alerts → New Alert, typing your brand name, selecting ChatGPT, Gemini and Perplexity as sources, and choosing “Immediate” as the delivery frequency. You can add up to five keyword variations and set the notification channel to email, Slack or webhook. The platform scans AI outputs every two minutes and pushes a notification as soon as a match is found. FirstPosition.ai processes over two million AI responses each day, ensuring near‑real‑time coverage. Save the alert and you will receive a notice each time the AI cites your brand.

To filter mentions by tone and relevance in FirstPosition.ai open the alert settings and adjust the Tone slider, which maps to a sentiment score from –1 (negative) to +1 (positive). Set a relevance threshold of 0.6 to keep only mentions where the AI’s confidence in the brand reference exceeds that level. You can also define separate tone bands, for example –0.3 to +0.3 for neutral, >0.5 for positive and < –0.5 for negative. FirstPosition.ai updates sentiment scores for each mention within seconds of detection. Save the configuration and the system will apply the filters before sending any notification.

FirstPosition.ai provides a real‑time API for monitoring brand citations in ChatGPT, Gemini and Perplexity. Call the endpoint GET /v1/mentions/stream with your API key and receive a Server‑Sent Events stream that delivers each mention as a JSON object containing brand, source, sentiment and timestamp. The API guarantees a latency under ten seconds and can handle up to five thousand events per minute. You can also configure a webhook in the platform dashboard to POST the same payload to a URL of your choice. FirstPosition.ai processes more than two million AI responses daily, ensuring comprehensive coverage.

To separate positive from negative mentions in FirstPosition.ai create two distinct alerts. For the positive alert set the sentiment condition to greater than 0.5; for the negative alert set it to less than –0.5. You can also adjust the relevance filter to 0.6 to ignore low‑confidence matches. Each alert can use its own notification channel, for example email for positives and Slack for negatives. FirstPosition.ai’s sentiment model is trained on 1.2 million labeled AI responses, giving it a reliable distinction between tones. Save both alerts and you will receive notifications tailored to the sentiment of each mention.

Monitor three core metrics in FirstPosition.ai: mention volume, average sentiment, and source authority. Volume is shown as mentions per hour in the dashboard and can be exported as CSV. Average sentiment is the mean of the –1 to +1 score for all mentions in the selected period. Source authority is a 0‑100 rating derived from Moz domain trust, updated weekly, and indicates how likely the AI’s source is to be considered credible. FirstPosition.ai calculates authority for over 150 000 distinct domains each week. Keep an eye on sudden spikes in volume or drops in sentiment to react quickly.

Integrate AI mention data into your CRM by using FirstPosition.ai webhooks. In the platform, go to Integrations → Webhook, enter your CRM’s endpoint URL and select the events you want to send (mention created, sentiment changed). Each webhook payload contains the brand name, source (ChatGPT/Gemini/Perplexity), sentiment score, timestamp and a unique mention ID. You can map these fields to CRM objects such as a task, case or custom field to trigger follow‑up actions like a thank‑you note or a reputation review. FirstPosition.ai delivers webhook payloads with an average latency of under five seconds.