Sales & MarketingComplex automationSeveral jobs working together: multi-stage pipelines with state, branching on rules or AI decisions, approvals or escalations, 4+ systems, AI agents that act, or reconciliation across sources. Usually rolled out in stages.

Every brand mention spotted and answered

For: Boutique hotel group

Typical impact

Response time under 1 hour

Boutique hotel groups often find brand mentions days late, if at all. Monitoring social platforms, review sites and travel forums, drafting on-brand responses with AI for one-tap approval and escalating negative sentiment instantly brings median response time under an hour.

Typical results

97%

Mentions answered

4.5

Average review score, up from 4.2

5 min

Negative mention to management alert

Figures reflect typical results for this kind of automation.

The challenge

Guests talked about the hotels everywhere — Instagram stories, TripAdvisor reviews, travel forums — and the marketing manager checked each platform manually when time allowed. Reviews sat unanswered for days, a one-star complaint once trended for a weekend before anyone noticed, and glowing mentions that deserved a warm reply got nothing at all.

Before and after

Before With the automation

Median response time

−98%
52 hours
1 hours

Brand mentions answered

2.4×
40%
97%

Average review score

+7%
4.2 stars
4.5 stars

The automation

We set up monitoring across social platforms, review sites, and travel forums, feeding every brand mention into one queue. Each mention is classified by sentiment and platform, and an OpenAI step drafts a response in the group's voice — warm for praise, specific and de-escalating for complaints. The manager approves or edits with one tap on WhatsApp, and anything strongly negative skips the queue entirely, alerting the general manager within minutes with full context.

How it works

  1. 01

    Everything monitored

    Social platforms, review sites, and travel forums feed every brand mention into one queue.

  2. 02

    Sentiment sorted

    Each mention is classified by tone and platform the moment it appears.

  3. 03

    AI drafts the reply

    An on-brand response is drafted — warm for praise, specific and de-escalating for complaints.

  4. 04

    One-tap approval

    The marketing manager approves or edits the draft directly from WhatsApp.

  5. 05

    Negative goes straight up

    Strongly negative mentions skip the queue and alert the general manager within minutes.

Starts from

  • Social & forum monitoring
  • Review site alerts

Delivers

  • One-tap WhatsApp approval
  • On-brand reply posted
  • Negative sentiment escalation

The impact

Median response time typically falls from more than two days to under an hour, and about 97% of mentions get an answer, up from roughly 40%. Negative reviews are often de-escalated while the guest is still on the property, and average review scores can climb from around 4.2 to 4.5 within six months.

Questions about this automation

Which platforms does the monitoring cover?

The monitoring covers the social platforms, review sites and travel forums where guests talk about the hotels, such as Instagram and TripAdvisor. Every mention lands in one queue, classified by sentiment and platform the moment it appears, so the marketing manager no longer has to check each site by hand.

Are replies posted without a person checking them?

No reply goes out without a person approving it. The AI drafts a response in the hotel group's voice, warm for praise and specific for complaints, and the marketing manager approves or edits it with one tap on WhatsApp. Once approved, the reply is posted on the platform where the mention appeared.

What happens with a strongly negative mention?

Strongly negative mentions skip the normal queue and alert the general manager within minutes, with the full post, the platform and a drafted reply attached. That gives the team a chance to act while the guest may still be on the property. This is a multi-step build, usually rolled out in stages.

Sales & Marketing

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