ReputationRestaurantsSalons

AI Review Response Assistant

Draft on-brand responses to new Google and Yelp reviews for owner approval before publishing.

reviewsreputationresponselocal-seo

What you need to build this

Connect these tools, give the AI this data, expect these outputs.

Connect

APIs & tools to set up

OAuth, API keys, or webhooks depending on the tool.

Gather

Data sources to pull from

Customer Reviews

Give to AI

Inputs per run

New review text, star rating, reviewer name, platform
Business response guidelines (tone, apology policy, offer limits)
3–5 examples of past approved responses

Expect

AI outputs

Draft response appropriate to rating (grateful for 5-star, empathetic for 1–2 star)
Flag for owner review if review mentions safety, legal, or health issues
Character count within platform limits

BeginnerSemi-automatedHigh value3 no-code · 2 low-code · 4 custom options

Business problem

Responding to reviews improves local SEO and customer trust, but owners don't have time to craft thoughtful replies — especially to negative reviews that need careful handling.

Expected outcome

Draft responses for each new review within 24 hours, tailored to the rating and content, ready for one-click approval and publishing.

Who it's for: Local business owners who know they should respond to reviews but currently respond to fewer than 30% of them.

Required data sources

Customer ReviewsView access method →

What data goes into the AI

New review text, star rating, reviewer name, platform
Business response guidelines (tone, apology policy, offer limits)
3–5 examples of past approved responses

What the AI should output

Draft response appropriate to rating (grateful for 5-star, empathetic for 1–2 star)
Flag for owner review if review mentions safety, legal, or health issues
Character count within platform limits

APIs needed to automate this

Google Business Profile APIAuth & setup →
Yelp Fusion APIAuth & setup →
OpenAI APIAuth & setup →

System behavior

Triggered when new review is detected (daily poll or webhook)
Never auto-publishes — always requires owner approval
Escalates reviews mentioning legal, safety, or discrimination to owner alert
Keeps responses under platform character limits
Logs all published responses for consistency review

No-code vs low-code vs custom

No-code

Lowest effort

Non-technical owners, quick validation, under 50 runs/day

3 options listed

Low-code

Medium effort

Operators comfortable with Zapier/n8n, need more control

2 options listed

Custom build

Highest effort

High volume, custom logic, or strict data privacy requirements

4 options listed

No-code options	Low-code options	Custom build stack
Google Business Profile built-in AI reply suggestions	n8n: new review webhook → OpenAI draft → approval email to owner	Webhook or polling for new reviews
Birdeye or Podium review response AI	Zapier: new Google review → GPT → Gmail draft for owner	OpenAI with rating-specific prompt templates
ChatGPT with review pasted in (manual per review)	—	Approval UI (simple web form or email reply-to-approve)
—	—	Google Business Profile API to publish approved responses

Start with no-code to validate the workflow. Move to low-code when you hit rate limits or need branching logic. Custom build when volume, privacy, or integration depth requires it.

Step-by-step implementation

1Write response guidelines: tone, what to offer unhappy customers, what never to say
2Collect 5 examples of your best past review responses
3Connect review platform APIs
4Build rating-specific prompts (5-star thank you vs. 1-star recovery)
5Run in approval-only mode — owner reviews every draft before publish
6Track response rate and average time-to-respond monthly