How it works
Paste content that represents how the web describes your brand - reviews, press coverage, forum threads, competitor summaries, or your own existing copy. The analyzer scans for positive sentiment words, negative sentiment words and neutral descriptors, then simulates what an AI assistant would most likely say when asked "what do people think of this brand?". The top themes are extracted via keyword frequency and shown alongside the sentiment ratio.
Why simulate AI descriptions
- Signal density beats signal count. Ten pieces of dense positive copy outperform a hundred bland mentions - assistants weight by concentration, not volume.
- One negative can dominate. A single "lawsuit" or "scandal" word anchors the narrative more strongly than ten positive adjectives.
- Themes become citations. The top co-occurring words become the categories assistants place you in - check they match your actual positioning.
Pair with
Use the Brand Positioning Generator to craft the canonical statement that should dominate the signal, then measure trust with the Trust Signal Analyzer and citation odds with the Citation Probability Calculator. Deep dive: how AI assistants choose citations.