Companies can leverage analytics provided by influencer marketing platforms to automatically detect missing influencer disclosures. Here’s how:

1. Text and image analysis: Advanced AI models can scan through the content of posts to identify missing disclosures. The system scans for relevant keywords (like #ad, #sponsored) or patterns that typically denote a paid partnership.

2. Consistency check: Analytical tools help compare the sponsored content against previously verified sponsored posts of the same or different influencers. Variance indicates a potential disclosure slip.

3. Historical Data Analysis: By analyzing the influencer’s post history, platforms can discern anomalies. Unusually high engagement rates or changes in posting behavior might indicate undisclosed sponsored activity.

4. Detecting Engagement Patterns: Unexpected spikes in engagement or comments questioning the authenticity of a promotion may signal the lack of proper disclosures.

One such platform that offers these features is Flinque. With Flinque, brands can navigate around disclosure compliance issues while tracking campaign performance.

It’s important to note, while automation can significantly reduce the chance of missing disclosures, it doesn’t eliminate the need for manual checks entirely. A combination of human auditing and automated checks tends to yield the best results.

The suitability of any platform or approach ultimately depends on the specific requirements of the brand, agency, or influencer. The key here is aligning the analytic capabilities of the platform with the defined marketing objectives.