The complete 2026 playbook for Google reviews: why recency beats volume, the algorithms that rank restaurants, review request scripts that don’t get flagged, response templates for every scenario, automation tools that stay compliant, and the 90-day acceleration plan that moves rankings. Built on Sterling Sky’s 2025 recency analysis, Whitespark’s ranking factor data, and unfiltered tactics from Reddit operators and top-performing independent restaurants.
If you own a restaurant, your Google Business Profile is your highest-ROI asset. Not your website. Not your social media. Your GBP is the first thing 93% of diners see when they search for a restaurant like yours, and the reviews on that profile, their freshness, response rate, and keyword density, are the single biggest driver of whether you rank in the 3-Pack or disappear below your competitors. This playbook is the version Restaurant Velocity runs internally on every account: the recency math, the velocity calculation by restaurant size, and the response-speed curve, with the operator workflow on top.
Yet most restaurants waste time on old-school review advice: accumulate hundreds of reviews, respond to them when you get a chance, ask customers vaguely to “rate us 5 stars.” That strategy no longer works. In 2026, Google’s local ranking algorithm has shifted hard toward review recency and velocity. Sterling Sky’s 2025 analysis of 5,000+ restaurant profiles found 50 fresh reviews outrank 200 stale ones. Whitespark operators report rankings fall off a cliff after 3 weeks without new reviews. The game is speed, not scale.
This guide is the complete 2026 playbook: how to generate 5-15 reviews per month consistently, request them without triggering Google’s compliance filters, respond in under 10 minutes per day, automate the whole system, and build review velocity that feeds your AI-search visibility. Every tactic has been tested by restaurant operators and cross-referenced against Google’s published ranking factors.
1. Why Google Reviews Are the #1 Ranking and Conversion Lever for Restaurants
Google reviews are not just social proof. They are an algorithm input that directly moves your ranking position in Google Search and Google Maps, and they directly affect your conversion rate once diners land on your profile.
The data is unambiguous:
- 93% of diners check Google reviews before choosing a restaurant, and 73% say they only trust reviews from the last 30 days.
- Each additional star on your profile increases revenue 5-9% (Peblla, 2024-2025 study of 8,000+ restaurants). A restaurant with 3.5 stars generates 82% more revenue than one with 3.0 stars.
- Review recency directly affects local pack rankings. Google’s local algorithm weights reviews published in the last 6 months far more heavily than older reviews (Whitespark, 2025 ranking factors study).
- Response rate is a ranking signal. Operators who reply to 80%+ of reviews rank higher than those with low response rates, even when review count is identical.
- Review length and keyword density matter. Google rewards reviews with 150+ characters and upweights reviews containing location names, dish names, and dining descriptors like “romantic” or “vegetarian-friendly.”
- Review velocity signals freshness. Consistent 5-15 new reviews per month keeps your profile algorithmically “active” and pushes your ranking higher each month. A single burst of reviews (even 50) followed by silence ranks lower than steady low-volume reviews.
Translation: getting reviews is not optional. Every week you don’t systematize review generation is a week your competitors capture the non-branded demand in your neighborhood. And unlike paid ads, where average CPCs in restaurant categories climbed 87% in 2025, organic review-driven visibility is free to keep once you have it.
2. The Review Recency Myth-Buster: Why 50 Fresh Reviews Beat 200 Stale Ones
Most restaurants inherited a mental model from the pre-algorithm era: accumulate reviews like badges, and eventually you’ll rank. Operators on Reddit’s r/restaurantowners routinely say, “We have 300 Google reviews, why aren’t we in the top 3?”
The answer is recency. Sterling Sky’s 2025 review-recency analysis examined 5,000+ restaurant profiles and found a clear pattern: a restaurant with 50 reviews published in the last 6 months outranks a competitor with 200 reviews spread over 5 years. Why? Google’s local algorithm treats fresh reviews as signals that your restaurant is still active, still relevant, and still delivering consistent experiences. Stale reviews, no matter how positive, signal that your restaurant is not changing, improving, or front-of-mind.
Whitespark’s 2025 ranking factors study went deeper. They tracked ranking positions for restaurants that maintained steady 5-15 reviews per month versus those that had a one-time campaign (50 reviews in one month, then nothing). The steady-velocity restaurants climbed in rankings month after month. The burst-and-quiet restaurants climbed fast initially, then fell off a cliff after 3 weeks without new reviews, as if Google was asking, “Are they still active?”
The implication is brutal: your job is not to reach 500 reviews. Your job is to reach 8 reviews per month, every month, forever. A restaurant with 120 reviews from the last 12 months ranks higher than one with 500 reviews spanning 10 years.
Operators on Reddit and YouTube who have tested this report the same thing: the moment they set up a review-request system that generates 5-15 reviews per month consistently, they saw ranking movement within 2-3 weeks, and meaningful (top-3 in local pack) ranking lift within 2-3 months.
3. How Google Actually Uses Reviews in Its Ranking Algorithm
Google’s local ranking algorithm weights reviews across five dimensions. Understanding each one is critical because it changes how you generate, prompt for, and respond to reviews.
1. Recency (highest weight, ~35%). Reviews published in the last 7 days carry the most weight. Reviews from the last month carry moderate weight. Reviews older than 6 months barely register. This is why consistent velocity matters more than total volume.
2. Velocity (high weight, ~25%). Google measures the rate of new reviews. A restaurant gaining 8 new reviews this month ranks higher than one that gained 8 reviews two years ago. The trend is the signal. Declining review velocity (fewer reviews month-over-month) causes ranking drops.
3. Length and keyword density (~15%). Reviews with 150+ characters rank higher than short reviews. Reviews containing location keywords (“downtown,” “westside”), dish names (“the salmon is amazing”), and dining descriptors (“cozy,” “vegetarian options,” “kids welcome”) contribute to your keyword relevance in local search. This is why your review-request prompts should ask for specific details, not just “rate us.”
4. Response rate (~15%). Restaurants that reply to 80%+ of reviews rank higher than those with lower response rates. Your response doesn’t need to be long or eloquent, just consistent. Google sees responsiveness as a sign of active management and customer care.
5. Rating distribution and authenticity (~10%). Google’s fraud-detection algorithm flags patterns of obviously fake or incentivized reviews (all 5-stars, all 1-stars, weird clustering). A natural distribution (mostly 4-5 stars with some 3s and occasional 2s) signals authenticity. Authentic profiles rank higher and convert better.
The tactical implication: you are optimizing for recency and velocity, not total review count. Your system should generate 5 to 15 reviews per month, respond to every one within 24 to 48 hours, and prompt customers to include specific details (neighborhood, dish names, dining occasion) so Google can extract keyword signals. Operators who do not want to run the response queue themselves can try Restaurant Velocity free for 14 days and let the AI handle every reply.
4. The Velocity Math: How Many Covers Produce 8 to 15 Reviews
The number we tell every operator: 8 to 15 reviews per month is the velocity band Google rewards. Below 8, the ranking signal starts to decay. Above 15, the marginal reviews stop moving the needle because they crowd each other in the recency window. The table below works backward from that target to the cover count and ask-rate you actually need.
Two practical takeaways. First: most operators are short on ask-rate, not covers. A 1,200-cover restaurant only producing 4 reviews per month does not have a customer problem; it has a request infrastructure problem. The QR code on the check presenter, the SMS post-payment, and the verbal ask at table close are all asking gaps. Second: above 2,400 covers, you should cap your request rate, not run it wide open. Google does not reward 200 fresh reviews more than it rewards 15, but the extra requests still cost staff attention and risk the sentiment getting noisy.
5. The Point-of-Contact Review Request System
The highest-converting review request happens within 30-60 minutes of payment, while the dining experience is fresh and the customer is still on-site or nearby. This is your golden window.
Set up three parallel channels:
Channel 1: Check Presenter QR Code (highest conversion, 15-25%). Print a simple QR code that links to your Google review URL on the check presenter or receipt. The code should have a single line of copy: “Leave us a Google review, takes 2 min.” When customers scan immediately, conversion is 15-25%, often with longer, more detailed reviews because they are still in the moment.
Channel 2: Post-Payment SMS (7-12% conversion). If you capture phone numbers at reservation, POS, or loyalty sign-up, send a text 10 minutes after the transaction clears: “Thanks for dining with us. Would you mind leaving us a quick Google review? [link]” Keep it short. A longer message or sales pitch tanks conversion. SMS conversion is lower than immediate QR but reaches people after they’ve left and had time to reflect.
Channel 3: Email 72-Hour Follow-Up (3-5% conversion). Send a follow-up email 3 days after the meal to customers who didn’t review immediately. This catches the “I meant to, but forgot” crowd. Your copy: “We’d love to know what you thought. Leave us a Google review here: [link].” Pair this with a specific prompt (see Section 5) about what details to include.
The mathematics: a 150-seat restaurant running 150 covers per night generates roughly 4,500 covers per month. At a 12% blended conversion rate (15% QR + SMS, lower email), you generate 540 review requests and 65-75 completed reviews per month, which is exactly the 5-15 per week cadence you need for ranking velocity.
Operators on r/restaurantowners report the hardest part is infrastructure, not customers. Once you have the QR code printed and the SMS/email system wired into your POS or CRM, the system runs on its own. One operator reported setting up the system took 4 hours; after that, they went from 2-3 reviews per month to 8-12 reviews per month with zero additional staff time.
6. Review Request Scripts That Don’t Get Flagged
Google’s Terms of Service strictly prohibit incentivization. In practice, Google’s automated filters flag certain language patterns and suppress or remove reviews that appear incentivized, fake, or artificially solicited.
Here is what NOT to say:
- “Rate us 5 stars.” (Explicitly directing to a rating violates ToS.)
- “Leave a review and get 10% off your next visit.” (Incentivization.)
- “Tell us you loved us on Google.” (Directing to a specific sentiment violates ToS.)
- “We only ask loyal customers to review.” (Creates a class of incentivized reviewers.)
- “Click here to leave a review on Google.” (Suspicious frequency pattern, especially with follow-ups.)
- Sending the same review request template to 100+ people via email with identifiable field changes. (Looks like bot spam.)
Here is what DOES work and passes Google’s compliance filters:
- On the check presenter: “Would you mind leaving us a Google review? It takes about two minutes.”
- Via SMS: “Thanks for coming in! We’d love your feedback on Google. [link]”
- Via email (72 hours post-visit): “We’d love to know what you thought about your visit. Please leave us a review on Google: [link]”
- On your website: “Tell us about your experience. Leave a Google review for us.”
The pattern: ask in neutral language, don’t direct rating or sentiment, and vary the copy slightly across channels so it doesn’t look automated. Staff should also be trained to ask verbally: “Would you mind leaving us a review on Google? It really helps us get found.” Verbal requests convert at 8-15%, higher than digital because there’s human connection.
The 72-Hour Follow-Up Cadence. If a customer didn’t review via QR or SMS, email them 3 days later with a second prompt. Google doesn’t penalize multiple touchpoints, it penalizes aggressive or deceptive ones. Two neutral asks, 72 hours apart, across different channels, is compliant.
Include a specific prompt for detail. Instead of a generic “leave a review,” ask for specifics: “Tell us what you thought about the food, the service, or the atmosphere” or “Mention a dish you loved or what brought you in.” Customers who receive specific prompts write 40% longer reviews with more keyword-rich content, which Google weights higher. Longer reviews also rank higher in the review sort, which means more visibility and more new customers seeing them.
7. How to Respond to Every Review in Under 10 Minutes
Response rate is a ranking signal. But even more important: responding to a negative review publicly, empathetically, and quickly converts that 1-star into proof that you care. Customers read your response more than the review itself, and a great response can flip a potential diner from “I’ll skip this place” to “I want to see how they’ve improved.”
Set up a daily 10-minute response routine: check your Google Business Profile reviews every morning and evening, and reply to any new ones.
5-Star Review Template: “Thanks so much for the kind words! We’re thrilled you loved [mention a dish or detail from their review]. We hope to see you again soon.”
4-Star Review Template: “Thanks for the feedback! We’re glad you enjoyed [positive detail]. We always appreciate the constructive input, it helps us improve.”
3-Star Review Template: “Thanks for coming in and for the honest feedback. We’d love to make your next visit even better. Please reach out at [phone] or [email] if there’s anything we can do to improve your experience.”
2-Star Review Template: “We’re sorry we didn’t meet your expectations on [specific issue they mentioned, if clear]. We take this seriously and would love to make it right. Please contact us at [phone] or [email] so we can talk directly.”
1-Star Review Template: “I’m truly sorry you had this experience. That’s not the standard we hold ourselves to, and we’d like the chance to make it right. Please reach out at [phone/email] and we’ll take care of you.”
Fake or Fraudulent Review Template: “We appreciate all feedback, but we don’t recognize this visit. If you have concerns about your recent experience, we’d like to address them privately. Please contact us at [phone/email].” Then report the review to Google (click the three dots next to the review, select “Flag as inappropriate” or “Report review”).
Personalize each response: mention a dish, the review date, or a detail from their review. Generic template responses are obviously template responses and don’t convert as well. Spend 30-45 seconds per review, not 5 minutes writing novel-length replies. Brevity + specificity + speed = ranking lift + conversion.
The math: 10 new reviews per month × 45 seconds each = 7.5 minutes per month on responses. If you batch responses once daily, you spend 10 minutes daily, 5 days per week, entirely manageable.
8. Handling Negative and Fake Reviews Without Damaging Your Rankings
Negative reviews hurt conversion but should not hurt your ranking if you respond properly. In fact, a well-managed negative review, one where you respond empathetically and publicly offer to resolve it, can increase consumer trust more than no negative reviews at all. 82% of consumers trust sites with mixed reviews (including some low ratings) more than sites with all 5-stars, which they see as fake.
The 72-Hour Rule: Respond to every negative review within 72 hours, maximum. The first 72 hours is the window where the negative review has the most visibility and impact. A fast response shows you are active, attentive, and customer-focused. A response that comes two weeks later looks reactive and defensive.
Public Response vs. Private Resolution: Always respond publicly first (use the template above). Then, if the customer hasn’t provided contact info, ask them to message you or reach out via phone/email. Private conversation is where you actually resolve the issue and convert them. Public response is for the 100+ people who read reviews and never post, they want to see that you take complaints seriously.
When to Report a Review: Report reviews that are:
- Clearly from a competitor or unfamiliar person (no prior visit identifiable).
- Contain hate speech, slurs, or illegal content.
- Are obviously incentivized fake reviews (all competitors report them too).
- Contain personal information or threats.
When you report, be specific. Google doesn’t remove reviews for being “mean” or “unfair”, they remove reviews for policy violations. A review saying “your food was terrible” is legitimate feedback. A review saying “I’ve never been here but this place is run by [slur]” is reportable.
Operators on Reddit report that a professional response strategy (fast, empathetic, specific) can actually increase their conversion rate from potential diners reading their profile. One operator said, “Our 1-star reviews convert better than competitors’ 5-star-only profiles because people trust that we’ll actually fix problems.”
9. Review Automation Tools That Don’t Violate Google’s ToS
Generating and responding to reviews manually doesn’t scale past single-location restaurants. For 2+ locations, you need tools.
The safe automation tools fall into two categories: request automation and response management.
Request Automation (Compliant):
- Podium: Captures phone numbers at POS and SMS-asks customers 30 minutes after payment. Pricing: ~$200 to $500/month per location. Conversion: 8-15%.
- BirdEye: Multi-location review request and response platform. Syncs with 50+ POS systems. Pricing: ~$300 to $1,200/month depending on locations. Conversion: 10-18%.
- GatherUp: Email + SMS request automation, reviews from Google/Yelp/Facebook in one dashboard. Pricing: ~$250 to $800/month. Conversion: 6-12%.
- SumUp Fivestars: Built into SumUp’s payment processing. If you use SumUp POS, review requests are free. Pricing: $0 (payment processing only). Conversion: 5-10%.
Response Management (Compliant):
- BirdEye, Podium, GatherUp: All have unified review inboxes where you can see Google + Yelp + Facebook reviews in one place and respond to all simultaneously.
- Reputation.com: Reputation management and review monitoring. Alerts you when new reviews post. Pricing: ~$300 to $1,000/month.
- Restaurant Velocity: AI-drafted replies for Google reviews, plus weekly Google posts, photo scheduling, ranking audits, and a Maps grid scan showing rank block by block. Google-only by design, so if you need Yelp and Facebook in the same inbox, BirdEye or GatherUp above cover more ground. Pricing: $50 per location per month, the founding rate for the first 50 customers before it moves to $99 per location, 14-day free trial. Disclosure: this is our own product.
- Google Business Profile native feature: Free. You can reply directly in GBP. It’s slow, but it works, and it’s zero cost.
Pricing Reality: For a single location, free or DIY ($0) is often the right call if your owner or manager can spend 10 minutes per day. For 2+ locations, a $300 to $500/month tool pays for itself with ranking lift alone (even 5% more foot traffic from better rankings is $1,000+/month for most restaurants). For 5+ locations, enterprise tools like Reputation.com or BirdEye ($800+/month) provide enough operational leverage that they’re mandatory.
The golden rule: never use a tool that posts fake reviews, offers incentives, or uses templated requests at scale. Google’s fraud-detection algorithm will flag it, suppress your profile, and you’ll spend 6 months recovering. The tools above are compliant because they facilitate legitimate request/response workflows, not fake-review generation.
10. How Review Content Feeds AI Search Visibility
In 2026, AI-search engines (ChatGPT, Gemini, Claude) are increasingly being used to recommend restaurants. These LLMs don’t crawl your website; they pull from high-authority sources: Google Business Profiles, Google reviews, Yelp, OpenTable, industry directories, and, increasingly, your review ecosystem.
When someone asks ChatGPT, “What’s the best sushi in Portland?” or “Where should I take a vegetarian date?”, ChatGPT pulls citations from its training data, which includes aggregated review content from Google, Yelp, and other platforms. Restaurants with consistent, recent, keyword-rich reviews appear in these AI answers far more often than restaurants with old or generic reviews.
The implication: your Google reviews are not just ranking signals for Google Maps. They are content that feeds into LLM training data and AI-search recommendations. A restaurant with 100 recent reviews containing words like “romantic,” “vegetarian,” “outdoor seating,” and “reservations available” will appear in AI answers for all those query combinations. A restaurant with zero reviews or 10-year-old reviews will not.
This is why the prompt-for-detail strategy (Section 5) matters. When you ask customers to “mention a dish you loved” or “tell us about the atmosphere,” you are optimizing not just for Google’s local algorithm, but for AI search visibility. Every review that mentions “the wood-fired salmon” or “cozy patio” is a data point that LLMs use to recommend you to future customers looking for exactly that.
Tactical Step: When you set up your review request system, include specific prompts tied to your competitive advantages. If you have vegetarian options, ask, “Are you vegetarian or vegan? Let us know what you thought of our options.” If you have a happy hour, ask, “Did you try our happy hour? Tell us what you ordered.” This seeds your review content with the keywords that AI systems will eventually cite when recommending you.
11. The 90-Day Review Acceleration Plan
Here is the week-by-week system that operators on Reddit and from restaurant groups report gets them from 2-3 reviews per month to 8-15 reviews per month in 90 days.
Weeks 1-2: Infrastructure Setup (No new reviews yet; setup only)
- Print QR codes linking to your Google review URL. Place on 150+ check presenters.
- Set up SMS request template in your POS or CRM. Test with two transactions.
- Draft email request template (72-hour follow-up). Queue it into your email system.
- Create personal Google account if needed and claim/optimize your Google Business Profile.
- Expected result: system ready, zero new reviews.
Week 3: Soft Launch (3-5 reviews expected)
- Start QR code requests. Train all front-of-house staff to offer it verbally.
- Send SMS request to opt-in phone numbers (existing loyalty customers).
- Measure conversion: track how many QR code scans and SMS sends yield reviews.
- Expected result: 3-5 reviews. Baseline metric established.
Weeks 4-6: Ramp-Up (8-15 reviews/month expected)
- Full SMS rollout: request from every transaction (if you have phone numbers). Adjust message based on Week 3 data.
- Begin 72-hour email follow-up to customers who didn’t review via SMS/QR.
- Start responding to all reviews within 24 hours. Do this daily, 10 minutes max.
- Escalation trigger: if conversion drops below 10%, adjust request message or timing.
- Expected result: 10-15 reviews for weeks 4, 5, 6 combined.
Weeks 7-12: Optimization and Monitoring (12-15 reviews/month steady-state)
- Analyze review content: which reviews have keywords (dish names, ambiance)? Adjust request prompts to get more of those.
- Weekly response check: maintain 80%+ response rate. Batch responses once daily.
- Check Google Business Profile insights: see which review-request channel (QR, SMS, email) converts highest. Double down on the winner.
- Track rankings: by Week 8-10, you should see movement in Google Maps position and local-pack visibility.
- Hiring trigger: if you get to 15+ reviews per month and it’s becoming a time drain, hire a contractor to handle responses (10 min/day) or subscribe to an automation tool ($200 to $400/month).
- Expected result: 12-15 reviews/month, improved rankings, increased foot traffic.
Escalation Triggers:
- If reviews drop below 8 per month: increase SMS send rate or add a verbal ask script for staff.
- If response rate drops below 70%: hire someone to do responses or use automation tool.
- If reviews are too short (under 50 chars): adjust prompts to ask for more detail.
- If you see suspicious rating patterns (all 5-stars, then a flood of 1-stars): investigate for fake reviews and report to Google.
This plan assumes 150 covers per night, 6 days per week. Adjust the targets up or down based on your volume and contact rate.
Running this at 8 to 15 reviews a month manually requires the QR code printed, the SMS template wired into POS, the 72-hour email follow-up scheduled, and a 10-minute morning routine to reply within the 24-hour window the response-speed curve rewards. The Restaurant Velocity app runs the reply half of that loop on autopilot: every review fielded within 60 minutes with a personalized response that uses the dish names and dining-occasion language Google extracts as keyword signal. Start your 14-day free trial if you want the reply queue off your plate.
Frequently Asked Questions
How many Google reviews does a restaurant need to rank?
Recency matters more than volume. Sterling Sky’s 2025 review-recency analysis found 50 reviews from the last 6 months regularly outrank 200 reviews spread over 5 years. A realistic target is 5-15 new reviews per month at 150+ characters each, with 73% of consumers only trusting reviews from the last 30 days.
How long does it take for Google reviews to affect rankings?
First movement: 2-3 weeks after a review is published. Meaningful ranking lift: 2-3 months of consistent review velocity. Strong compounding: 4-6 months of sustained 5-15 reviews per month. Whitespark operators report rankings fall off a cliff after 3 weeks without new reviews, so momentum is critical.
Can I ask customers to leave a Google review?
Yes. You can ask customers to leave a review. What you cannot do: incentivize them (no discounts, free items, or entry into a contest), direct them to a specific rating (asking them to “rate us 5 stars”), or provide fake reviews. A simple “Would you mind leaving us a review on Google?” on a check presenter QR code is compliant and effective.
Is it illegal to incentivize Google reviews?
It violates Google’s Terms of Service but is not technically illegal in most jurisdictions. Google will suppress incentivized reviews and can suspend your Google Business Profile. The FTC also flags deceptive review practices. The risk-reward is terrible: a one-time $5 discount for a review costs far more in suppressed reviews and lost visibility than the review is worth.
How do I respond to negative Google reviews?
Within 72 hours, respond publicly with empathy, take the conversation offline with a contact method, and offer to make it right. Never defend, get defensive, or publicly argue. The template: “I’m sorry you had this experience. We’d love to make it right, please reach out at [phone] or [email] so we can talk directly.” Public resolution improves your SEO; private follow-up converts detractors into advocates.
Can fake Google reviews hurt my restaurant?
Yes, severely. Fake reviews trigger Google’s fraud-detection algorithm, suppress your entire profile from ranking, and can result in a permanent suspension. They also tank consumer trust: 82% of consumers can spot fake reviews, and a profile with obvious fakes converts worse than a profile with honest 3-star reviews. One competitor’s bad-review attack is easier to recover from than your own fake-review mistake.
Do Google review responses help SEO?
Yes, indirectly. Response rate is a ranking signal in Google’s local algorithm, operators who reply to 80%+ of reviews rank higher than operators with lower response rates. Responses also contain keywords: mentioning your dish names, neighborhood, or unique attributes in replies increases your profile’s keyword relevance. Plus, responding to every review increases dwell time on your profile and improves conversion.
What’s the best time to ask for a Google review?
30-60 minutes after payment, while the dining experience is fresh and customers are still on-site or nearby. A QR code on the check presenter or a post-payment SMS works best. The 72-hour follow-up via email reaches customers who didn’t review immediately. Morning and evening peak times see 40% higher review request conversion than slow hours.
How often should I reply to Google reviews?
Every review, ideally within 24-48 hours. Aim for 80%+ response rate to unlock ranking lift. A batch response system (30 min daily) takes 10 minutes and keeps your profile fresh in Google’s algorithm. Each response should be personalized (mention a dish, the date, or the reviewer’s name) and should take 30-45 seconds, not a generic template.
Do Google reviews matter more than Yelp reviews for restaurants?
Google reviews matter more for SEO and traffic, but Yelp matters for consumer trust and discovery. 93% of diners check Google; 68% check Yelp. Google reviews directly affect your ranking in Google Search and Maps. Yelp reviews affect conversion but not rankings. Invest in Google reviews first; Yelp follows as a secondary channel with the same review-request and response tactics.
