Turn raw reviews into reputation insight — and into schema AI can read
Reviews are one of the strongest signals AI engines and shoppers use to decide who to trust. But most businesses never analyze them at scale, and even fewer expose them in a machine-readable way. Paste a batch of reviews above — yours or a competitor’s — and this tool gives you two things at once: a fast reputation read, and the structured data that makes those reviews count for AI search.
The analysis runs entirely in your browser. Put one review per line; optionally start a line with a 1–5 rating (for example 5 Great service, fast and friendly) and the tool will fold ratings into the score.
What you get
- Sentiment breakdown — the share of positive, neutral and negative reviews, plus an average rating when ratings are included.
- Praise & complaint themes — the words and topics that come up most in happy reviews versus unhappy ones, so you know what to amplify and what to fix.
- Review schema (JSON-LD) — ready-to-publish
AggregateRatingandReviewstructured data, generated from your reviews, so search engines and AI assistants can surface your star rating. - AI-visibility guidance — where the markup goes and how it helps you get cited in AI Overviews and answer engines.
Why review schema matters for AI search
When your review data is marked up with schema.org structured data, Google can show star ratings in results and AI answer engines can confidently cite your reputation. Without it, that trust signal is invisible to machines. This tool is part of the DigiJaws AI-visibility platform, which scans, tracks and fixes these signals across your whole site — see also the AI-Fix Generator for site-wide structured data, llms.txt and more.
Frequently asked questions
Is this tool free?
Yes. Paste reviews and analyze them for free, with no account required. The analysis happens in your browser — nothing is uploaded.
Can I publish the generated review schema?
Yes — as long as the reviews are genuine and are actually displayed on the page where you add the markup. Google’s guidelines require that schema reflect content visible to users on that page.
How is sentiment calculated?
It uses a fast, transparent keyword-based method plus any 1–5 ratings you include. It is a quick directional read, not a substitute for deep manual review, but it reliably surfaces the dominant themes and tone in a batch.