1 item
Reads whole Reddit threads for Valtaris: research what customers say, or check what AI assistants say about your brand. Valtaris checks what AI assistants say about your brand, and whether it's true. When you run an audit at valtaris.net, we ask ChatGPT, Perplexity and Google AI Mode the questions your buyers ask and list the Reddit threads their answers cite. This extension is how those threads get read. Click "Read all threads" on your audit page and it reads every cited thread in the background, comment by comment, including the replies hidden behind "load more comments". Or open a thread and click "Add to audit". WHAT THE SIDE PANEL SHOWS - The audit you're working on, with every cited thread and whether it's been read - The thread you have open, and whether the assistants cited it - One button to add it to your audit, or to add every cited thread at once WHAT YOU GET BACK (in the Valtaris app) - Every claim the assistants make about your brand, with a verdict: holds up, only true in some cases, disputed, contradicted, or not in these threads - Verbatim quotes, checked word for word, with links to the comments - How many different people back each claim, and who disagrees HOW IT WORKS 1. Start an audit at app.valtaris.net 2. Click "Read all threads" on the audit page (or in the side panel). Keep Chrome open for a few minutes 3. When every thread is read, write the audit in the app PRIVACY The extension only reads Reddit threads you open or paste. It does not read other sites or your browsing history. Threads are deleted once they're read, and usernames are removed from reports. Full policy: https://valtaris.net/privacy Valtaris is independent and not affiliated with or endorsed by Reddit, Inc., OpenAI, Perplexity or Google.
Oct 15, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.