What you do with it
systematically collect, monitor, and respond to reviews at scale, so they can maintain a strong and consistent online reputation that builds consumer trust
When a dealership's online reputation is being shaped daily by customer reviews across Google, DealerRater, and Yelp
analyze large volumes of review data to surface actionable customer experience insights, so they can make targeted operational improvements that raise ratings and reduce negative reviews
When a dealer wants to understand what is actually driving positive and negative customer feedback
access industry-level review data filtered by market, brand, and department, so they can understand where they stand relative to the market and prioritize reputation investments
When a dealer needs to benchmark their reputation against local competitors or OEM peers
Community evidence
→ Stable
The DealerRefresh community consistently engages with Widewail as a credible source of automotive reputation data and thought leadership, with multiple members and industry voices responding positively to their research reports, benchmarking tools, and educational resources like Widewail Academy. Product announcements — including video review collection, listings management, and the free Google Business Profile audit tool — generated direct purchase or trial intent from community members. The listings management product was specifically noted for a dealer-friendly differentiator: customers retain listing ownership after cancellation, contrasting with Yext's approach. No community voices surfaced explicit complaints about product performance or service quality; the one operational issue noted — a Google review backlog from March–April — was a platform-side problem that Widewail disclosed transparently rather than a failure attributed to Widewail itself.
Industry data and benchmarking (Automotive Reputation Index, Voice of the Customer reports)14 mentions
Thought leadership and educational content (Academy, newsletters, webcasts, REV briefings)10 mentions
Review collection tools including video testimonials4 mentions
Listings management as a Yext/Birdeye alternative with ownership transparency2 mentions
Google platform dependency and review volatility risks1 mention
Company growth and credibility signals (funding, team size, customer count)1 mention
66 mentions · 28 positive · Scored from 20+ years of candid DealerRefresh discussion. Scores shift as new conversations happen.
NEUTRAL
"Jake Hughes from Widewail introduces a new newsletter and shares 2021 review performance benchmarks across platforms, revealing that DealerRater and Google lead with 4.7 and 4.6 average ratings respectively, while Yelp significantly lags at 3.3"
7 Review Benchmarks for 2021 | Local Marketing Insider #001 →
NEUTRAL
"Jake Hughes from Widewail presents updated 2021 review benchmarks for local businesses, comparing performance metrics from the first half of the year against 2020 data. The analysis draws from Widewail's database of 1,400+ businesses actively focused on review generation and response management"
2021 Review Benchmarks // Local Marketing Insider #016 →
NEUTRAL
"Widewail introduces the "Brand Mosaic" concept, which illustrates how each customer experiences a dealership's brand through a unique combination of touchpoints—from traditional word-of-mouth to digital interactions—creating either positive, neutral, or negative impressions on their path to purchase."
The Brand Mosaic // Local Marketing Insider #021 →
NEUTRAL
"Widewail, a reputation management firm, launched a free Automotive Reputation Index tool built from analysis of 1.6 million Google reviews across 16,000+ US new car dealers from early 2023."
New Today: Widewail Automotive Reputation Index →
NEUTRAL
"Welcome to the REV. A briefing that goes deep into the Widewail Automotive Reputation Index data, surfacing the most interesting insights... All data is sourced from the Widewail Automotive Reputation Index (unless noted). The Index aggregates over 1.6 million Google reviews from 16k new car dealerships in the U.S."
REV #003: EV Negativity, Communication, and Predicting Ratings →