Comparison Copy Fairness Scorer Connector for AI agents.

Yes, it identifies negative claims about competitors that might lack the proper legal qualifiers. It flags specific phrases that could lead to compliance issues.

It looks at the number of features you list for your product versus your competitor. It then gives you a score based on whether the comparison is balanced or lopsided.

Yes, it can check if your tables are visually and logically symmetric. It ensures that your checkmarks and x-marks are distributed evenly across the rows.

It automates the audit by checking for superlative density and claim verifiability. This helps your team ensure all marketing materials meet your brand standards.

Yes, it calculates a fairness score by comparing two pieces of text. This gives you a clear metric to decide if a piece of copy is ready for publication.

It measures the intensity of your language by counting words like "the best" or "fastest." This helps you keep your marketing grounded and credible.

It checks for verifiability by identifying claims that lack quantified data. It flags superlatives that aren't backed by specific numbers.

It compares claims supported by specific numbers, dates, or sources against unsupported superlatives like '#1' or 'the best'. Capabilities available: calculate_copy_fairness.

The calculate_feature_balance capability assesses if the number of features highlighted for your product matches those presented for the competitor to prevent intentional skewing.

Yes, using audit_disparagement_risk, the system flags negative statements about competitors that lack qualifying language like 'may' or 'in most cases'.