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How To Create A Review Engine with Aspect

The keys to improving your online reputation include review volume, review platform diversification, and review depth. Maintaining a consistent brand across sites is how to be accurately represented in LLMs and Google.

How to build a review engine

Learn how to get the most out of your reviews.

Read the full transcript

Pulled directly from YouTube's own transcript for the recording (2026-09-09) and lightly cleaned for reading — filler words and false starts removed, verbal stumbles smoothed, otherwise verbatim. The chapters above mark the recording's own structure.

Today I’m going to show you how to turn reviews into more sales. It might seem like collecting 100 extra reviews each month could make a big difference, but unless you’re using this specific formula, you’re letting that review power go to waste. We call it the review engine. It consists of collecting, analyzing, and converting reviews into future sales. And after you see it, you’ll understand why it’s better than collecting a bunch of short five-star reviews. But to make the point, I’m going to be using Hoffmann Brothers, a local HVAC company here in St. Louis. They have 11,000 reviews on Google with a 4.9 star rating. That seems fantastic, and it is. They are excellent at collecting reviews, but they’re all concentrated on Google Maps. Their Yelp account only has 320 reviews, and it only has 3.5 stars. That means when you Google something like Hoffmann reviews, you get a very different picture than that Google Maps result. So I’ll walk you through how Hoffmann could be better leveraging their reviews using the review engine. And I’m Chris with Aspect by ConsumerAffairs. Over the past 20 years, we’ve helped thousands of companies leverage hundreds of thousands of reviews in order to better shape their reputation online. With that in mind, I’m going to break down how the review engine works: how you can start to collect long-form stories from your customers, analyze those stories to understand what your customers are telling you, and then leverage them in order to convert future customers. Set this up correctly and your reviews will start selling for you.

So first, I like to just take an audit of where your company stands today. In this case, Hoffmann Brothers. You can see they have 4.9 stars on Google and 11,867 reviews. That’s a whole ton of reviews, and their review velocity is amazing — they are really good at capturing customer sentiment. The problem is that it’s really concentrated in Google. But Google reviews, while they’re great for Google Maps, do not power AI Overviews. So if you Google Hoffmann Brothers reviews, none of those some 11,000-plus reviews will ever show up there — at least not right now. Instead of citing any of their reviews from Google, you end up getting a whole bunch of citations from Reddit in the AI Overviews, and Reddit ends up dominating the page. Now, they are collecting reviews elsewhere — you can see they have Yelp and Best Pix Report. My first observation here is they’re putting all of their effort into Google Maps reviews, which is fine, but it could be more efficiently spent across platforms. So we’ll get into that in a bit.

Now, the other problem I’m seeing in their reviews more generally, but also in these sub-5.0’s, is just the fact that they’re not getting depth in the stories. They’re getting a lot of surface-level understanding of what customer problems are, but they’re not getting the great stories — like mine. They replaced my HVAC system two years ago, and then over winter a mouse ate through all of the controls in the system, and it totally messed up the ability for it to heat. The air conditioner for some reason still worked, but the heating wouldn’t. So they tried all winter to fix it, and because it was mice, it didn’t necessarily fit into our warranty. But the service technician I talked to was able to figure out that because only the heat was broken but the AC was working, they had fixed the unit, and something was still wrong with the board itself, and he was able to place it under a warranty claim. So I didn’t have to shell out the extra $5,000 for a new AC unit — he was able to get it under warranty and just charge me the labor for it. Now, that is a fantastic story, but no one’s ever asked me for that level of detail. You might just be like, “Do you like Hoffmann?” And yeah, I like Hoffmann. They saved me a bunch of money in that instance, but they didn’t get all of the details. And that’s where Aspect by ConsumerAffairs can come in and get that out of your customers. You want the full stories.

So how do we help Hoffmann collect these reviews? Well, we think of it in three stages: collect, analyze, and convert. Stage one is collect. In order for you to be successful with Aspect, you need to collect reviews. So you can think of Aspect as your review engine, and you provide the fuel for that engine. On the initial kickoff, we ask for a set of past customers that we can call by phone and email. That’ll get your profile supercharged, because it needs that base content in order to start ranking in Google and for you to have really any understanding of what the different aspects of your business are that people are talking about. That means when you partner with us, you typically get a certain set of phone calls that we will make on your behalf to your customers. You should be taking advantage of those long-form phone-based interviews — get those stories out of your customers that I was talking about. Now, we also recommend that you give us every other customer. The goal here is to get as many reviews as possible across the whole spectrum to make it believable. So the nice thing about Aspect is that we do that work for you, but you should be integrating review collection into an automatic process in your strategy. So we’ve identified 11 different places that you can insert an ask for a review in order to maximize the return. I have a different video on that, but know here that you should be asking probably after you’ve done an installation or on a receipt, and you should be asking via text message after you’ve collected a solid corpus of reviews.

You can then use the Aspect platform to analyze them. We look for semantic patterns across your whole corpus of reviews to understand both the positive and negative aspects of working with your company. You can also respond to reviews that are negative — we follow a strict set of FTC guidelines for publishing reviews. But what that means is that when you respond to a review and you resolve the problem for the customer, they have the opportunity to come back onto ConsumerAffairs and update their review. This means you can take a review from a one or two star to a four or five star by responding to them and having some kind of resolution. That change, from a two to a four or a one to a five, we call those spotlight reviews. Aspect also has an assisted resolution built in — if you’re a customer of Aspect and you do resolve a complaint from a customer, we will help get in touch with that customer, like we do with phone reviews, in order to collect their side of the story and update their review. And again, these spotlight reviews that go from two to five stars or two to four stars are the best for showing future customers what will happen if something goes wrong. And I’ve been talking a lot now about these spotlight reviews because we believe that using these reviews is what converts future customers.

Now, another important thing to remember is that when you’re collecting reviews, you do want to spread them across a whole bunch of sites. And since you’re asking every person who buys from you for a review, you can start to separate them over time into the different sites. So you could ask them to leave a review on Yelp in one month, ConsumerAffairs in the next month, and Google Maps in the next month. And in that way, a company like Hoffmann wouldn’t have 11,900 reviews on Google Maps and 325 on Yelp — they should be spreading out that information across a bigger set of websites. You should be able to see a clear relationship between the reviews on ConsumerAffairs and the results in AI search results, and that way it’ll help to improve their reputation in AI Overviews and other LLMs that are ingesting that information.

And when I say leveraging reviews for conversion purposes, I mean adding the reviews that are relevant to the page that they’re on to help you convert better. So for example, if you have a testimonials page, you obviously want to have some of the longer-form reviews that explain what your company did. But if you have a landing page specific to HVAC, you want to have HVAC reviews there that talk about the different things your company does. With Aspect in particular, and for any company on ConsumerAffairs that collects reviews, whether organically or through Aspect, you get the potential to be added to the Buyers’ Choice Awards. For our main categories each year, we identify the aspects of reviews and which companies excel at them for any particular category. And so by putting the work in, it gives you a chance for additional marketing incentives like the Buyers’ Choice Award.

And so that’s my pitch to Hoffmann. I believe that if they came on board and started spreading their reviews from not just a Google-Maps-centric focus, but to other platforms, they could significantly improve their reputation online and convert future customers at a higher clip. We already know they know how to collect reviews, but collecting the right reviews with the right content could supercharge their conversion engine going into the future. And I’m Chris Kolmar with Aspect by ConsumerAffairs, where we provide a review engine to power your conversions. By capturing long-form stories from past customers, we help future customers buy from you.

A Review Engine has three steps

By running each step, you create a Review Engine where each step improves the next step. Your reviews will end up compounding into conversions over time.

  1. 1Collect

    Call and email past customers for long-form stories. Don't just ask for a star rating or a sentence.

  2. 2Analyze

    Find the patterns across the corpus of reviews. Address the complaints and lean into the positives.

  3. 3Convert

    Match a quality story in a review to a landing page or ad to increase conversion while improving search and LLM visibility.

1. Collect: You want stories, not star ratings

Getting customers to give you a story of their interaction with your brand is one of the most valuable things you can do.

A real story does two things:

  1. It gives LLMs and search engines context to pull from when they're describing your brand.
  2. It gives your next customer something to anchor their decision on.

At Aspect, we call and email your past customers directly. Unlike other platforms, you can currently email an unlimited number of clients to ask for a review.

Because we believe you should ask everyone for a review, not a curated sample. A filtered list is expressly against FTC guidelines and Google's review policy, not to mention just bad for business. You want an accurate representation of your business to identify weaknesses and highlight strengths.

At Aspect, we put together 11 points where you can ask customers for a review. Automating the review ask will create recurring reviews every month.

A ConsumerAffairs-branded email asking a past customer for feedback, with a single 'Write Your Review' call to action.

2. Analyze: Use reviews to find patterns

Recurring reviews are a corpus of information you can act on to surface what's working and, more importantly, what's not. Then you can fix what's broken.

Aspect looks for patterns in reviews across a business's whole set. It tries to find the positives customers keep naming, and the complaints worth fixing.

That way, you improve your operations to fix what's wrong. Furthermore, when you resolve a specific customer's problem, the customer can update their review. We call that a spotlight review because you should be spotlighting it.

Think of a complaint as a chance to show how your business responds when something goes wrong. That will help the next buyer trust you.

3. Convert: Use reviews to help sell

You should strategically place reviews to meet buyers when they are actively looking for reassurance.

To make the most impact, collected and analyzed reviews need to reach the right reader. Reviews regarding certain aspects of your business should be placed on landing pages accordingly:

  1. If you have great feedback regarding your installation, those reviews should be on the installation page.
  2. If you're great at customer service, add a review on your support or help page.
  3. If you're actively working on addressing a weaker area of your business, put a spotlight review to assure customers you're improving.

To get to the next level, think of different review sites like different parts of your site.

It's your brand after all!

Rotate review collection across Yelp, Google, ConsumerAffairs, and others so that you can convert customers wherever they are researching.

BrightLocal's 2026 Local Consumer Review Survey found three-quarters of consumers check more than one platform.

Frequently asked questions about building a review engine

What is a “review engine”?
A repeatable, three-stage process for turning customer reviews into a growing asset rather than a monthly scramble. Collect long-form stories from past customers, analyze the corpus for patterns and negatives worth resolving, then put the right reviews on the pages that need them. Run once, it is a review push. Run monthly, it is an engine.
Why don’t Google reviews show up in AI Overviews?
AI Overviews and other AI answers draw heavily on community and discussion content, Reddit and YouTube in particular, rather than on Google Business Profile review counts. Your business can have thousands of well-rated Google reviews and still be invisible when an AI answer cites sources for the same query, because it is pulling from a different pool of content entirely.
What is a spotlight review?
A review that started at one or two stars, got resolved, and was updated by the customer to four or five stars. It is the clearest proof a future customer can see of what happens when something goes wrong with a purchase. It's stronger evidence than an unbroken run of five-star reviews, because it shows the resolution, not just the outcome.
Do I need to be an Aspect customer to run this?
No. The three stages (collect, analyze, convert) are a process any business can run on its own with enough time and a way to reach past customers. What Aspect adds is doing the calling, the pattern analysis and the resolution follow-up on your behalf, plus eligibility for the ConsumerAffairs Buyers’ Choice Award once a brand has a real, verified corpus.
What is the difference between review velocity and review depth?
Velocity is how many reviews arrive each month. Depth is how much specific, story-level detail is in each one. You can have excellent velocity (hundreds of reviews a month) and still lack depth, because a star rating and a sentence tell a reader almost nothing that a search engine or an AI answer can quote.
Where do I start if I have none of this set up yet?
Start with an audit of where your reviews currently live. Check which platforms, how many, what rating, and whether AI answers for your own brand name cite any of them. That audit tells you whether the problem is volume, concentration or depth, and the three stages fix different ones.

Talk to an Aspect expert

We will audit where your reviews currently live, tell you whether the gap is volume, concentration or depth, and say which stage of the engine to start with.