Signal House
For Klang Valley cafes

Hear what customers and AI say about your cafe.

Signal House reads your Google reviews against the cafes nearby, and checks what AI assistants tell people who ask where to get coffee. You get a short, human-checked page of what to fix.

Social Listening Report

Your reviews, read properly. Next to your rivals’.

A 4.4 rating can mean “great coffee, slow queue” or “nice space, average coffee.” We read the reviews behind the star rating and show you what customers praise, what they complain about, and how that compares with the cafes around you.

For single cafes
Starter
RM199 / month
  • Your cafe vs 3 nearby rivals you pick
  • Google reviews compared on wait, price, taste, service and ambience
  • Top 3 praises and complaints, yours vs theirs
  • 3 reply drafts for your toughest reviews
  • Monthly one-page summary, human-checked
Pulse
RM399 / month
  • Your brand only
  • Google reviews across your outlets, plus YouTube
  • Monthly report, human-checked
  • Tagged dataset included
Category
RM1,200 / month
  • Your brand plus 3 competitors — this report
  • Share of voice, sentiment and topic benchmarks
  • Mid-month spike check
  • Quote bank for marketing and service training
  • 30-minute readout call
Watch
RM2,500 / month
  • Everything in Category
  • Threads, Xiaohongshu, TikTok, Instagram and Facebook added
  • Weekly brief, with sensitive topics flagged
  • Outlet-level breakdown for operations

Indicative pricing. Starter suits a single independent cafe; Pulse and up suit chains. Want to see it first? We’re doing 3 free review reports this October. DM “REPORT” to claim one.

AI Scan · Add-on

Some customers now ask AI where to get coffee. What does it tell them?

We ask the same questions a customer would, in English and Malay, and record what each assistant says about your cafe. AI repeats what your reviews and listings say, so most of what we find can be fixed.

What we check

ChatGPT Gemini Google AI AI Overviews & AI Mode Claude Perplexity Grok
  1. 1
    Are you recommended?Whether each assistant names you when someone asks for coffee in your area, and who it names instead.
  2. 2
    What do they say about you?The exact lines AI repeats, good and bad, such as “gets busy on weekends” or “small cups for the price”.
  3. 3
    Wrong detailsWrong opening hours, an old address, or a “temporarily closed” note that is no longer true.
  4. 4
    Which sources they citeThe listings, blogs and review sites each assistant relies on, and which of them are missing you.
  5. 5
    Fixes, in orderA short list of what to change first, starting with your Google Business Profile and stale listings.
October offer
Free for 3 cafes this October.

A one-page scan: what 6 AI assistants say about you, and what to fix. DM “AI” on Instagram to claim a slot.

DM “AI” on Instagram

Also free: 3 Social Listening Report slots. DM “REPORT”.

Straight talk: nobody can promise an AI will recommend you, and answers change from one run to the next. We report patterns across several answers, not one screenshot, and we never fake reviews or mentions.

Sample report

What a report looks like.

A working sample built on live public data: Google reviews across 80 outlets and YouTube conversation about four coffee chains, over one month. Brand names are anonymised and customer comments are paraphrased.

Coffee Category Benchmark 2026Category format · 4 anonymised chains · 18 Sep – 17 Oct 2026
Sample
967
Items collected
Reviews, comments and the posts behind them.
446
Actually on topic
390 off-topic items removed, checked by a human.
47%
Noise removed
Nearly half of what a keyword alert would show you.
14%
Not in English
Bahasa Melayu, Manglish and Chinese.

Sentiment share by brand

On-topic mentions only. Brand names anonymised.

Heritage Kopitiam 147 mentions · net +55
Campaign Chain 94 mentions · net +66
International Chain 103 mentions · net +50
App-First Chain 102 mentions · net +23

What the sample found

  • One campaign, one spike. A single music video drove 24 on-topic mentions in one day.
  • Operations drive the complaints. For one chain, 65% of wait-time mentions and 43% of taste mentions were negative or mixed.
  • Rating vs reality. A 3.66 Google rating against a category average above 4.3.
Mixed · Taste, price · ParaphrasedA first-time visitor liked the food but found the sambal portion small for the price.
Negative · Sarcasm flagged · ParaphrasedReviewers felt that less-ice orders still arrived full of ice.

The Starter report uses the same method on one page: your cafe and 3 nearby rivals, compared on wait, price, taste, service and ambience.

Open the full sample report
How it works

Three steps. No logins.

  1. 1

    Send us a DM

    Message @signalhouse.my on Instagram. Send “AI”, “REPORT”, or just a question.

  2. 2

    Tell us about your cafe

    Your cafe’s name and area. For a listening report, pick 3 nearby cafes to compare against.

  3. 3

    Get your page

    Within 48 hours you get a short, human-checked page: what people and AI are saying, and what to fix first.

FAQ

Questions owners ask.

Is a person actually checking this?

Yes. We use AI to help sort and tag reviews, but every report and scan is checked by a human before it reaches you. That includes Malay, Manglish and Chinese comments, and sarcasm, which keyword tools often read the wrong way.

Do I need to give you any logins?

No. We only use public information, such as your Google reviews, public posts and what AI assistants say when anyone asks. We never ask for passwords or access to your accounts.

How fast will I get it?

Within 48 hours of you telling us your cafe and area (and, for a listening report, the 3 cafes you want to compare against).

What is the difference between the report and the AI Scan?

The Social Listening Report shows what customers say about you in reviews, next to 3 nearby rivals. The AI Scan shows what AI assistants repeat from those reviews and listings. They work well together, but you can start with either one.

Can you guarantee AI will recommend my cafe?

No, and nobody honestly can. AI answers change from run to run and depend on what is written about you online. We show you what they say today, where it comes from, and the fixes most likely to help.

Will you name my cafe publicly?

No. We never name cafes in our public posts or samples. Your report is for you.

Ready when you are

Find out what people and AI are saying.