How it works
Paste any piece of brand-owned content - homepage copy, about page, press release or pitch deck text. The extractor scans for eight identity signal types and surfaces whatever it finds: the likely brand name, founder names, category words, audience descriptors, tone signals, value words, years, concrete stats and memorable tagline candidates. Anything it cannot find is listed as a gap with a suggested fix.
Why identity signals decide how you are described
- Extraction is the whole game. Assistants do not read your brand - they extract fields from it. Missing fields become paraphrased guesses or, worse, silence.
- Tone is inferred from word choice. Two or three tone-cue words are enough to set the entire register of how you are described.
- Concrete stats become the citation. "4.3x lift" or "45% faster" is what gets lifted into answer cards - not adjectives.
Pair with
Use the gaps to rewrite with the Brand Positioning Generator, score the output with the Brand Description Optimizer, and lock the canonical identity into schema with the Organization Schema Generator. Full pattern: write content AI assistants cite.