AI AGENT TEMPLATE

Post-Visit Review Agent

Sends review request emails 24-48 hours after visit. TripAdvisor, Google, and on-site review platforms. Improves review volume 3-5x.

Scheduled Attractions Updated May 2026

Review volume predicts organic booking rates for attractions with almost embarrassing accuracy. An attraction with 2,000 Google reviews averaging 4.6 stars converts organic searchers at multiples of the rate of an identical attraction with 300 reviews averaging 4.6 stars — the star rating is a threshold, the volume is the lift. And review volume almost entirely depends on whether you systematically ask for reviews after visits.

The Attraction Post-Visit Review Agent handles the asking automatically. 24-48 hours after a visit — the window where memory is vivid and positive but not yet blurred — the agent sends a short, targeted email per customer with direct links to the platforms that matter for your market (Google, TripAdvisor, Viator, Klook). The email tone is short and appreciative, not pleading, which matters for response rates.

Filtering matters. Customers who had issues — refunded visits, logged complaints, incident-flagged bookings — get excluded from the review ask and routed to a separate manager-touch resolution flow. You don't want to ask someone with a bad experience to publish that bad experience publicly; you want to resolve it privately. Filtering that subset out, operators report 3-5x review volume lift within a few months.

Below is the full agent spec: trigger timing, tools, platform-routing by market, and how to configure exclusion criteria and personalisation per ticket type.

Sample prompt

"Each day at 10am, find all visits that completed 24-48 hours ago. Send tailored review request: platform-specific links, short friendly message, offer of small incentive for longer reviews."

Paste this into Dash Agents. Dash reads the prompt, picks the right tools, assembles the logic, and creates a ready-to-run agent in seconds.

Tools this agent uses

The agent uses the standard Dash Agents tool library. Every tool call is logged.

get_completed_visits get_customer draft_email send_email track_reviews

What this agent does

On trigger, the agent runs these steps in order. Any step can be customised by re-prompting.

  1. Identify yesterday's visits

    Bookings completed 24-48 hours ago.

  2. Exclude refunded/issue bookings

    Don't ask upset customers to review.

  3. Pull customer history

    First visit vs. repeat. Tailor message accordingly.

  4. Route to platform

    Which review platform matters for your market — TripAdvisor, Google, Viator, etc.

  5. Draft email

    Short, friendly, specific. "Hope you enjoyed Saturday at X. A quick review helps other families like yours find us."

  6. Send at 10am local

    Optimal email engagement window.

Expected output

Subject: Did you enjoy Saturday at Ocean Park?
Hi Emma,
Hope you and the family had a great time - the kids seem to love the shark tunnel.
A 30-second review really helps: [TripAdvisor] [Google]
Thanks! Team

How to customise this agent

Customisations by re-prompting in plain English: change the trigger timing or conditions, adjust the recipient list, tune thresholds, modify tone, add approval gates, connect additional channels (SMS, WhatsApp) if available. Run in approval mode for the first week to build confidence before switching to autonomous.

Why this agent matters

Structured automation beats manual follow-up in three ways:

  • — Discovery: review volume drives organic bookings. 3-5x lift typical with active solicitation.
  • — Quality: timing matters. 24-48h post-visit = most vivid, most positive memory.
  • — Intelligence: reviews reveal what guests love and hate. Data to improve.

In summary

Set this agent up on your first week. Run in approval mode for five days while you watch the outputs, then flip to autonomous. The ROI compounds across a full season — a quiet automation that simply does the right thing, every time, without anyone having to remember.

FREQUENTLY ASKED QUESTIONS

Post-Visit Review Agent — frequently asked questions

Contact Us

What timing is best?

24-48 hours post-visit. Before is premature. After 72 hours drops response 60%.

Which platforms to target?

Should we incentivise?

How to handle negative reviews?

Integration with review platforms?

Put your operations on autopilot

Dash Agents handle the repetitive work so your team can focus on customers. Start your free trial and build your first agent in minutes.

GENERAL
Dashboard
AI Assistant
OPERATIONS
POS
Calendar
Bookings
SERVICES
Rentals
Experiences
Store
MANAGEMENT
Customers
Dashboard
Search... + New booking
Rentals 5 Experiences 6 Store 3
Performance snapshot Showing performance for last 7 days
Sales $2,884 +100%
Booking in period 5 +100%
Bookings received 19 +100%
Upcoming pick ups Late pick ups (1)
Booking #CustomerPick up time
123Lauren Walker2 reserved07:00 PM, Feb-17
120Andrew Clark2 reserved07:00 PM, Feb-22
121Nicole Lewis1 reserved07:00 PM, Feb-26
Next returns Late returns (3)
Booking #CustomerReturn time
116Daniel Thomas1 picked up07:00 PM, Feb-17
119Stephanie Harris1 picked up07:00 PM, Feb-16
117Ashley Jackson1 picked up07:00 PM, Feb-19
Performance snapshot Showing performance for last 7 days
Sales $4,120 +42%
Booking in period 6 +50%
Bookings received 24 +33%
Upcoming bookings Late bookings (0)
Booking #Activity NameStart time
130Sunset Kayak Tour4 confirmed09:00 AM, Feb-18
132Reef Snorkel Trip2 confirmed10:30 AM, Feb-20
135Mountain Hike6 confirmed08:00 AM, Feb-22
Active bookings Live (1)
Booking #Activity NameEnd time
128Whale Watch Cruise4 completed05:00 PM, Feb-17
129Zipline Adventure2 completed04:00 PM, Feb-18
131Cave Explore Tour3 completed06:00 PM, Feb-19
Performance snapshot Showing performance for today
Store revenue $892 +28%
Products sold 3 +200%
Orders 8 +60%
Recent orders
Order #CustomerOrder time
140Ryan Torres2 items02:15 PM, Feb-17
142Amanda Li1 item11:30 AM, Feb-18
143Chris Evans3 items09:45 AM, Feb-19
Low stock products
ProductSKUStock
Sunscreen SPF50SUN-050Low3 left
Dry Bag 10LDRY-010Low2 left
GoPro MountGPR-101Low1 left