Customer feedback analysis AI

Customer feedback analysis with AI that shows its working.

Falcon applies AI to every review your customers leave on Google Maps and Google Play: it classifies each one against your categories, quotes the words behind each label, finds and summarises specific issues, and lets you ask questions in plain language.

Updated

  • Every label backed by a quote
  • Multilingual classification
  • Questions answered with checkable analyses

Free review snapshot

See what your customers are saying, before you talk to us.

Tell us your brand. We read its public Google reviews and send back the themes customers raise most, with the quotes behind them.

  • The themes customers raise most
  • Where sentiment is slipping
  • Real quotes behind each theme

No commitment. We use your details only to send your snapshot and follow up. Privacy policy

Taxonomy: L1, L2 and L3 ranked by feedback volume with their sentiment mix

The problem

What gets in the way

AI that makes things up

Generic AI summaries state themes and percentages without showing where they came from.

Categories that shift

Ask the same AI twice and get different themes; trends become impossible.

English only

Reviews in Hindi, Hinglish or regional languages are skipped or misread.

How it works

From every review to the next step

  1. Your categories, applied by AI

    A multilingual model and an LLM classify each review against your themes and sub-themes, with an exact supporting quote for every label.

  2. Issues discovered and summarised

    Complaints within each sub-theme are clustered into specific issues, each titled and summarised from its reviews.

  3. Ask in plain language

    Ask Talon questions about your feedback and get analyses that show their steps, with the reviews behind them.

What you get

What your team gets

Issues found in your reviews

Themes, sub-themes and issues ranked by volume with their sentiment mix.

Taxonomy: L1, L2 and L3 ranked by feedback volume with their sentiment mix

Insights with next steps

Each finding states what is happening, why it matters and a next step for the owner.

An insight panel: the finding, its channels, why it matters, a proposed next step and the reviews behind it

Evidence for every label

Open any finding to see the reviews and the exact words behind each classification.

Customer evidence: one review with its L1, L2 and L3 classification, a suggested next step and an AI-drafted reply

See it on a sample workspace, or on your own reviews with our team.

Book a demo

FAQ

Frequently asked questions

How does Falcon use AI?

Embeddings and a multilingual model classify reviews against your taxonomy; an LLM confirms labels with exact quotes, clusters complaints into specific issues and writes their summaries.

What stops the AI from inventing things?

Every LLM label must include an exact quote from the review; labels without one are retried and otherwise fall back to the embedding classification. Uncertain assignments are flagged, and very short texts are marked unclear.

Does it handle Indian languages?

Classification uses a multilingual model, so reviews in Indian languages and mixed English are included.

What is Ask Talon?

An assistant that answers questions about your feedback with analyses computed from the classified reviews; when no theme grounds a question, it falls back to a text search and says so.

Which review sources does Falcon cover?

Google Maps reviews of your stores and Google Play reviews of your app.

Free review snapshot

See what your customers are saying, before you talk to us.

Tell us your brand. We read its public Google reviews and send back the themes customers raise most, with the quotes behind them.

No commitment. We use your details only to send your snapshot and follow up. Privacy policy