Reviews are no longer just social proof. They are a core data source for AI decision-making — analysed for volume, quality, sentiment, and consistency. We automate the system that builds all four.
Four signals. All weighted differently. All built or broken by how your review system works.
Businesses with more reviews are treated as more established. AI systems use review count as a proxy for experience and customer base size. Low volume = low authority, regardless of rating.
Target: 50+ reviews to compete in most Ottawa categories
4.7+ average is the threshold AI systems treat as 'strong'. But the distribution matters too — a business with 100 five-stars and 0 one-stars is flagged as less credible than one with 95 five-stars and 5 honest four-stars.
Target: 4.7+ average with natural rating distribution
AI models extract entities from review text — service names, employee mentions, location references, and outcomes. A review that says 'fixed my AC in 2 hours on a Sunday' signals far more than 'great service'.
Target: Keyword-rich reviews with specific outcomes
The last 90 days are weighted most heavily by both Google and AI systems. A business with 200 reviews but none in the last 6 months looks stagnant. A business with 20 reviews but 5 this week looks active and relevant.
Target: Consistent new reviews every month
You don't just look better online.
👉 You become a trusted choice — for customers and for AI.
It's not that customers are unhappy. It's that the system for capturing satisfaction is broken.
Reviews are requested when someone remembers — after a great job, when there's downtime, occasionally. Inconsistency means low volume and gaps in recency that AI systems penalise.
< 5%
of customers who would leave a review actually do — without being asked
Satisfied customers don't post reviews unless prompted, and prompted at the right moment. Most businesses ask too late, too generically, or not at all — letting 95% of positive experiences go uncaptured.
72%
of customers will leave a review if asked in a clear, easy-to-follow way
Most businesses have decent Google reviews but gaps on Yelp, Facebook, HomeStars, or BBB — the platforms AI systems also reference. A single-platform reputation looks incomplete to AI recommendation engines.
3×
more likely to be recommended with reviews across multiple platforms
You're not losing reviews because customers are unhappy.
You're losing them because the system to capture them doesn't exist.
We build the complete system that captures satisfaction automatically, routes it to the right platforms, manages the reputation across all of them, and reports on the ranking and AI visibility impact — monthly.
System Overview
3-Layer Review Engine
Automated Review Requests
Ask every customer, every time.
Consistent Feedback Capture
Build volume, quality, and recency — the signals AI weights.
Reputation Profile Building
Turn reviews into a compounding authority asset.
Platforms we build across
Each layer builds on the last. The result is a reputation that grows automatically — and compounds in ranking and AI visibility with every passing month.
Ask every customer, every time.
Build volume, quality, and recency — the signals AI weights.
Turn reviews into a compounding authority asset.
Month 1–2
Request system live
Automated requests firing after every job. Review velocity increases 4–6× from day one.
Month 3–4
Rankings move
Consistent new reviews push you into the top 3 in local search for primary service keywords.
Month 5–6
AI visibility activates
Review volume, recency, and sentiment cross the threshold — AI tools begin citing your business by name.
Month 6+
Compounding authority
Your reputation moat widens each month. Competitors can't close the gap without their own system — and you're already 6 months ahead.
We analyse your current review volume, recency, sentiment distribution, and platform gaps. Most businesses discover they're missing reviews on the platforms that matter most to AI systems.
We build and connect your automated review request flow — triggered by job completion, customised messaging, smart timing, and multi-platform routing — configured to your workflow in 3–5 days.
We set up your private feedback capture — routing unhappy customers to internal resolution before they post publicly, while making it frictionless for happy customers to leave visible reviews.
Monthly reporting shows review velocity, platform performance, sentiment trends, and the correlation between review growth and your search ranking movement. We optimise continuously.
Requests fire at the moment of highest satisfaction — typically 2–4 hours post-service — when response rates are 3× higher than next-day requests.
Unhappy customers are routed to a private resolution flow before they can post publicly. You fix the problem; the public sees only your best.
Real-time dashboard shows review rate by platform, average response rate to requests, and the correlation between review growth and ranking movement.
Every review gets a professional, personalised response — written and posted on your behalf — signalling to AI that you're an engaged, responsive business.
Every job you complete without a review request is a missed opportunity — not just for social proof, but for the ranking and AI recommendation signals that bring the next customer to your door. Start with a free reputation audit. We'll show you exactly where you stand and what it would take to build the gap.
4–6×
Review velocity increase
90 days
To first ranking lift
Free
Reputation audit
Free audit · No commitment · Ottawa-based team · Results in 90 days