Build vs buy review analysis with LLMs

Build vs buy review analysis: what it really takes with LLMs.

With language models, building your own review analysis looks easy: send reviews to an API and ask for themes. The hard parts are everything around the model. Here is what a build involves, and when buying makes more sense.

Updated

  • Every review classified
  • Locations compared fairly
  • Evidence behind every number

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

The demo is easy

A prototype that summarises a few hundred reviews takes an afternoon.

Production is not

Collecting from every location, keeping categories stable and rolling results up by store and month takes months.

Upkeep never ends

Models change, prompts drift, categories evolve, and someone must check accuracy every month.

How it works

From every review to the next step

  1. Every location's reviews

    Falcon collects the public Google Maps reviews of each location, and your app's Google Play reviews if you have one.

  2. Classified your way

    Each review is sorted into a taxonomy built from your own reviews, with sentiment for each mention and the words that support it.

  3. Compare, act, check

    Compare locations within their peer group, give rising issues an owner, and watch whether they fall.

What you get

What your team gets

What customers talk about

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

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

Where it is slipping

Negative share by topic and month, with small samples flagged.

Experience signals: a heatmap of negative share by topic and month, with the selected cell's insight

Evidence for every finding

Open any finding to read the reviews behind it.

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

What does a build need?

Collection and deduplication, a taxonomy, classification with evidence, storage, roll-ups, dashboards, accuracy checks and ongoing maintenance.

When should we build?

When you have engineering capacity, unusual requirements and a team to maintain it.

When should we buy?

When you want results across many locations quickly and consistently, without maintaining a pipeline.

How does Falcon handle the hard parts?

Collection from Google Maps and Google Play, your own taxonomy, LLM labels that must quote evidence, issue clustering with an audit trail, and store-by-month roll-ups.

Which review sources does Falcon cover?

Google Maps reviews of your locations 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