Reputation provides a reputation management platform that helps organizations monitor, analyze, and respond to customer feedback across reviews, surveys, social channels, business listings, and other touchpoints. CEO Joe Burton has spent much of his career helping technology companies navigate major shifts in communications, cloud platforms, identity, data, and AI. Pulse 2.0 interviewed Reputation CEO Joe Burton to learn more about AI-driven brand discovery, customer intelligence, trust, and the company’s evolution for the AI era.
Joe Burton’s Background
When asked about his background, Burton shared:
I’m a technologist at heart. I’ve spent most of my career helping companies navigate major shifts in how people communicate, connect, and make decisions.
I started my career as an engineer, which shaped how I think about both technology and leadership.
I’ve always been interested in how large platform and market shifts force companies to evolve, whether that was unified communications, cloud platforms, identity, data, or now AI.
Before joining Reputation, I served as CEO of Telesign and Poly, and earlier in my career I led Cisco’s Unified Communications technology organization as CTO.
Across those roles, the common thread has been helping companies adapt as technology changes customer behavior and reshapes entire industries.
I’ve also had the opportunity to serve on a number of public, private, and nonprofit boards over the years, which has given me a broader perspective on leadership, governance, and how organizations navigate change.
That’s a big part of what drew me to Reputation.
We’re at another major inflection point right now as AI changes how customers discover and evaluate brands.
I think we’re still in the early stages of understanding how significant that shift will ultimately become for businesses.
Primary Responsibilities
When asked about his primary responsibilities, Burton explained:
As CEO, my job is to make sure we’re building for where the market is going, not where it’s been.
We’re in the middle of a major shift in how consumers discover and evaluate brands.
Search is no longer just about rankings and links.
AI systems are interpreting, summarizing, and recommending businesses before a customer ever visits a website.
That fundamentally changes how businesses think about reputation, visibility, customer experience, and trust.
At Reputation, we’re focused on helping businesses understand and adapt to that shift.
A large part of my focus is product and technology strategy: making sure we’re building the data, AI, and enterprise intelligence capabilities companies need as customer discovery continues evolving.
We process enormous volumes of customer feedback, reviews, listings data, surveys, and customer and business signals, and the challenge is turning all of that into clear, actionable intelligence that businesses can actually use.
The other side of the role is execution.
Markets are moving quickly right now, and companies have to adapt without losing focus or discipline.
A big part of leadership is making sure teams stay aligned around what matters most to customers while continuing to evolve ahead of where the market is heading.
Favorite Memory
When asked about his favorite memory working for the company so far, Burton said:
Several customers have told me they are in highly competitive industries, and their not-so-secret strategy is Reputation.
By using our Reputation Score to drive a culture of consistently focusing on customer feedback and continuous improvement, they are consistently driving higher customer satisfaction and growing their market share every year.
Core Products And Features
When asked about Reputation’s core products and features, Burton detailed:
Our core product is the Reputation Management Platform, which helps organizations monitor, analyze, and respond to customer feedback across reviews, surveys, social channels, business listings, and other customer touchpoints.
The Reputation Score is central to the platform.
It aggregates signals including review ratings, listings accuracy, social engagement, and overall sentiment into a single metric that gives organizations visibility into how their brand and locations are performing online.
We’ve also expanded the platform with capabilities like Reputation®IQ, which allows teams to use generative AI to analyze large volumes of customer and business data.
Instead of manually sorting through fragmented information, organizations can identify trends, recurring issues, and customer experience insights more quickly.
The platform also includes AI-driven insights and workflow tools that help brands identify sentiment shifts, emerging issues, and performance trends across locations at scale.
Navigating A More Complex Digital Environment
When asked about recent challenges in the sector and how Reputation has addressed them, Burton explained:
Consumers are constantly connected and share experiences across an expanding number of platforms, from review sites and social media to AI-generated search and recommendation environments.
At the same time, the volume of contradictory information online has made trust more difficult for both consumers and businesses.
Our role is to help businesses better understand customer sentiment, engage more effectively, and adapt quickly in ways that strengthen trust and improve customer experience.
By staying focused on our core mission of helping businesses build trust and be discovered by consumers, we believe we can play an important role in helping organizations navigate a much more complex digital environment.
How The Technology Has Evolved
When asked how Reputation’s technology has evolved since launching, Burton said:
When Reputation was founded, the market was still largely centered around traditional search and online reviews.
Businesses were focused on rankings, listings accuracy, and managing customer feedback across a newly fragmented digital landscape.
Those things still matter, but the environment has changed dramatically.
Today, discovery is happening inside AI-generated answers and recommendation engines.
Consumers are getting summarized recommendations instead of scrolling through pages of search results.
AI systems are deciding which brands appear credible, which locations are recommended, and which businesses are surfaced at all.
That shift has major implications for companies because reputation signals are now directly influencing how AI systems interpret brands.
Our platform has evolved alongside that change.
What started as reputation management expanded into a much broader intelligence layer that helps organizations understand customer sentiment, business performance, visibility, and trust across thousands of locations and touchpoints.
AI became a natural evolution of that.
Not because it’s a trend, but because the scale and complexity of customer feedback, search visibility, and business data now require a different operating model.
That’s why we’ve introduced capabilities like Reputation®IQ, AI Reputation Manager, and AI Location Presence Insights.
These tools help brands understand how they’re being represented across AI-powered search platforms, what signals are shaping visibility, and where they need to take action to improve performance.
The bigger shift, though, is not just adding AI features.
It’s helping businesses operate effectively in an environment where AI shapes how customers discover and evaluate brands in the first place.
Key Company Milestones
When asked about some of Reputation’s most significant milestones, Burton highlighted:
One of the biggest shifts we’ve recognized as a company is the transition from traditional search rankings to AI-generated answers and recommendations.
For years, digital visibility was largely driven by SEO and where a brand ranked on a search results page.
Today, discovery is happening inside generative search environments where AI systems summarize, interpret, and recommend businesses before a customer ever visits a website.
That shift fundamentally changes how brands think about visibility and reputation.
It’s no longer just about ranking highly in search.
Businesses need to understand how AI systems interpret their brand, what signals influence inclusion in AI-generated answers, and how customer feedback, reviews, listings accuracy, and broader reputation signals shape trust and discoverability.
A major milestone for us was evolving the platform to help businesses operate in that environment.
That led to the development of the Reputation Performance Engine, which connects reviews, listings, surveys, customer feedback, and broader business signals into a unified intelligence layer that helps organizations better understand customer sentiment, visibility, and performance across locations at scale.
As companies adapt to this shift, we’re seeing stronger visibility into customer experience and performance, improvements in customer sentiment and star ratings, and measurable impact across customer acquisition and retention metrics.
Customer Success Stories
When asked to share specific customer success stories, Burton said:
One of the biggest challenges organizations face today is managing fragmented customer feedback across hundreds or thousands of locations while trying to maintain consistent customer experience, visibility, and trust.
Aspen Square Management, for example, operates more than 70 apartment communities nationwide and closely tracks Reputation Score as a measure of resident sentiment and online visibility.
Since implementing the platform, they’ve seen significant improvement in both review volume and overall ratings, which directly influences leasing decisions, renewals, and referrals.
Spherion faced a different version of the same problem.
With more than 200 staffing offices across the country, local teams understood the importance of customer feedback but didn’t have an efficient way to manage reviews consistently at scale.
By centralizing feedback and response workflows, they were able to significantly improve engagement and raise their overall Google rating to 4.9.
In healthcare, the challenge is often even more complex because patient feedback exists across multiple systems and touchpoints.
NKC Health used the platform to automate review capture and streamline feedback management across its locations, leading to major improvements in both review volume and patient sentiment in less than a year.
What ties all of these examples together is that reputation has become much more connected to overall business performance.
It directly impacts visibility, customer trust, acquisition, retention, and ultimately business performance.
Company Scale
When asked about funding and revenue metrics, Burton explained:
While we don’t publicly disclose our financials, we are well-funded by a committed group of top-tier investors, and we serve over 1,500 global enterprises with hundreds of thousands of locations.
Total Addressable Market
When asked about the total addressable market Reputation is pursuing, Burton said:
Estimates of the size of the online reputation management (ORM) market are well above $10 billion globally, and this is our primary focus area.
As online discovery evolves from traditional web search to AI-powered search, we are well positioned to compete for a portion of the marketing budget that is currently spent on SEO.
This is nearly a $100 billion worldwide market.
Competitive Differentiation
When asked what differentiates Reputation from its competition, Burton explained:
One of the biggest changes happening in our industry is that customer discovery, reputation, and business performance are becoming deeply interconnected.
Historically, companies managed reviews, surveys, listings, social engagement, and customer feedback through separate teams and disconnected technologies.
But as AI continues to shape how brands are discovered and evaluated, those fragmented approaches are becoming much harder to manage effectively.
What differentiates Reputation is that we’ve approached the market more holistically.
Instead of building isolated point solutions, we’ve focused on creating a unified intelligence layer that connects customer feedback, enterprise data, reputation signals, and visibility insights across locations and channels.
Organizations are now operating in a world where visibility is influenced not just by traditional search rankings, but by how AI systems interpret and recommend brands inside generative search environments.
AI is an important part of that evolution, but the bigger shift is structural.
Organizations need to move beyond simply monitoring customer sentiment and start understanding how those signals influence visibility, trust, customer acquisition, and long-term business performance.
The practical impact is that our customers can identify patterns faster, detect emerging issues earlier, improve consistency across locations, and make better business decisions from customer data that historically lived in disconnected systems.
More broadly, we believe the market is moving toward a model where reputation, discovery, customer experience, and AI-driven visibility are no longer separate disciplines managed through disconnected systems.
They’re becoming part of the same intelligence and decision-making layer for how businesses build trust, improve performance, and grow.
That’s where we’ve been focused.
Future Goals
When discussing Reputation’s future goals, Burton explained:
We have a great set of capabilities that help some of the biggest brands in the world understand consumer feedback, build trust, improve their businesses, and drive revenue.
Over the last two years, we have entirely rebuilt our platform for the AI era.
This allows us to bring new intelligent insights to our customers, introduce agentic capabilities that streamline business processes, and develop additional capabilities we have not yet publicly announced.
AI As An Intermediary Between Brands And Customers
When invited to discuss another topic, Burton concluded:
One thing I’ve learned over the course of my career is that major technology shifts rarely stay confined to technology.
They eventually reshape customer behavior, operating models, and competitive dynamics across entire industries.
I think we’re at one of those moments right now with AI.
A lot of companies still view AI primarily as a productivity tool or a feature set layered onto existing systems.
But the bigger shift is that AI is becoming an intermediary between businesses and customers.
It’s influencing how brands are discovered, how trust is formed, and how decisions get made before a customer ever directly engages with a company.
That has implications far beyond marketing.
The organizations that adapt successfully will be the ones that understand how reputation, customer experience, business performance, and visibility increasingly function as interconnected systems rather than separate disciplines.
I think we’re still early in that transition, but over the next several years it’s going to fundamentally reshape how companies compete and grow.
