1. *Aggregates public text* from your site, blog archive, social profiles, and any media coverage. 2. *Extracts top tone adjectives* (e.g., “Warm & Friendly,” “Technical & Authoritative”) by analyzing the most frequently used descriptors and sentence structures. 3. *Identifies core themes/values* (e.g., “Sustainability,” “Handcrafted Quality,” “Community Support”) by running topic clustering over all sourced content. 4. *Highlights best practices*—actionable tips on how to keep new copy aligned with your existing voice (e.g., ideal sentence length, preferred vocabulary, recurring metaphors or keywords). 5. *Maintains a public history* of every scanned brand voice report so you can browse past analyses or compare multiple brands: https://www.dondo.com/ai/brand-voice/history
*Why I built it:* - In my work at Dondo (an eCommerce automation startup), I saw that founders, marketers, and small teams often struggle to maintain a consistent tone as they scale. Multiple writers or agencies can drift off-brand without realizing it. - Existing “voice analyzers” typically require you to upload a handful of snippets or only look at a homepage. GetYourBrandVoice.com goes deeper—scraping every public source (product pages, blog posts, Twitter threads, review sites) to give you a more complete, objective picture of how you actually communicate.
*Key features:* - *Automatic public scraping:* Point it at any domain or social handle—no manual copy-and-paste needed. - *Tone adjective extraction:* See the top 5–10 adjectives that define how you write (e.g., “Energetic,” “Approachable,” “Trustworthy”). - *Core theme detection:* Discover which topics recur most (e.g., “Eco-friendly,” “Innovation,” “Local Community”). - *Best practice recommendations:* Get concrete tips (e.g., “Use 8–12 word sentences,” “Favor second-person pronouns,” “Include ‘handcrafted’ when describing products”). - *Brand voice history:* Browse every brand voice report we’ve generated so far—great for benchmarking multiple campaigns or brands: https://www.dondo.com/ai/brand-voice/history - *Live example:* Check out the ScrimsFlorist report to see how a florist’s voice breaks down into tone adjectives (“Warm & Friendly”), core values (“Sustainability,” “Local Sourcing”), and best practices on sentence structure and vocabulary: https://www.dondo.com/ai/es/brand-voice/scrimsflorist-200563
*I’d love feedback on:* 1. How would you use a report like this in your workflow? (e.g., onboarding new copywriters, auditing existing content, guiding agencies) 2. What additional data or charts would make this more actionable? (e.g., competitor comparison, sentiment trends, keyword overlap) 3. Have you tried reverse-engineering your own brand’s tone before? What challenges did you face?
Try it here—no credit card required: https://getyourbrandvoice.com
Thanks in advance for any thoughts or critiques!
— Daniel Marulanda