How 400k Businesses Profit From Trustindex Automated Review Management: Q/A with CEO Gabor Molnar

📊 93% of consumers decide to buy only after reading an online review

So keeping track of all reviews, answering them, and learning from these feedbacks is more crucial than ever for businesses of all sizes, but it’s not feasible if done manually, especially when reviews come from multiple channels.

Trustindex is one of the leading review management platforms on the market, helping over 400.000 businesses monitor and manage reviews more effectively across various channels to boost their SEO and sales.

Website Planet invited asked Gabor Molnar, CEO of Trustindex, to explain exactly how their automations make online review management immediately profitable, and what will be the role of new technologies like NLP, blockchain and voice search in combating fake reviews and help businesses build trust.

What unique challenges are people in your industry facing right now?

Tracking online reviews across multiple platforms and countries

With the increasing importance of online reputation, businesses are under pressure to monitor and manage reviews effectively across various channels, including social media, review sites, and search engines.

Furthermore, the globalization of markets has introduced complexities in managing reviews across different regions and languages. Multinational businesses face the challenge of maintaining consistent branding and reputation management strategies while accommodating cultural nuances and language preferences of diverse customer bases

Review authenticity and trustworthiness

Fake reviews and review manipulation have become rampant, undermining the credibility of online reviews and posing a challenge for businesses and consumers alike. Ensuring the authenticity of reviews and combating fraudulent activities requires robust verification mechanisms and advanced technology solutions.

SEO

Search engines are constantly updating their algorithms to prioritize high-quality and relevant content, including user-generated reviews. Staying abreast of these changes and adapting review management strategies accordingly is crucial for businesses to maintain a competitive edge in the digital marketplace.

How effective are the current methods for solving these issues?

The effectiveness varies depending on the specific issue at hand. While some methods have proven to be effective in some areas, there is still room for improvement and innovation.

For example, in terms of monitoring and managing reviews across multiple platforms, businesses often rely on manual processes or basic monitoring tools. While these can be effective to some extent, they are time-consuming, labor-intensive, and may not provide comprehensive coverage across all relevant channels.

Automated review management platforms, such as Trustindex, offer a more efficient and streamlined solution by aggregating reviews from various sources into a single dashboard, allowing businesses to monitor and respond to reviews more effectively.

Trustindex offers a comprehensive review management solution that aggregates reviews from over 100 different platforms into a single, streamlined dashboard. This allows businesses to easily monitor and respond to all of their reviews in one place, rather than having to check multiple platforms individually. This saves time, improves efficiency, and drives sales and growth by leveraging positive reviews.

As for fake reviews, traditional approaches to detecting and combating them often rely on manual review processes or too simple algorithms, which are not on pair with nowadays sophisticated fraudulent activities. Advanced technologies, such as artificial intelligence and natural language processing help us immensely improve the accuracy and effectiveness of fraud detection systems.

More specifically, we use NLP, anomaly detection, and machine learning trained on large datasets of real and fake reviews, to automatically classify reviews as authentic or fake:

• NLP to understand the semantic content, tone, and linguistic features of each review to identify reviews that are probably made up or misleading on purpose.
• Our AI-powered anomaly detection algorithms identify suspicious review patterns, such as large numbers of reviews coming from the same IPs.

Similarly to the ever-evolving review frauds, the effectiveness of traditional SEO is limited by the dynamic nature of search engine algorithms. Constant algorithm updates and changes in ranking factors require businesses to continuously adapt their SEO strategies to maintain relevance and visibility. The recent Helpful Content Update is an example of this.

What’s a better way in your opinion to fix these issues?

In my view, to fix the issues in review management, we need to focus on using smarter technology and working together better:

1. We can use advanced tech like AI to spot fake reviews more accurately. This helps businesses trust the reviews they get and gives customers more reliable information.
2. Teaming up with trusted review platforms and industry groups can give us valuable insights and help us stay on top of what’s happening in the industry.
3. We need to make sure the review system is transparent and fair for everyone. That means verifying reviews properly and being open about how reviews are collected and displayed.

By using smarter tech, working with trusted partners, and being transparent, we can make the review system better for everyone.

Looking ahead 5 to 10 years, what new technologies and trends will have the most significant impact on the issues we talked about?

In the next 5 to 10 years, we anticipate several technological advancements and industry trends that will shape the future of review management and address the challenges we discussed.

Artificial Intelligence (AI) and Machine Learning

AI and machine learning technologies will continue to play a pivotal role in improving the accuracy and efficiency of review management systems. These technologies will enable more sophisticated algorithms for detecting fake reviews, analyzing sentiment, and extracting actionable insights from customer feedback. As AI capabilities evolve, we expect to see AI-powered solutions become more accessible and integrated into mainstream review management platforms.

Blockchain

Blockchain technology holds promise for enhancing the transparency and trustworthiness of online reviews. By leveraging blockchain’s immutable ledger system, businesses can create tamper-proof records of customer feedback, ensuring the authenticity and integrity of reviews. Blockchain-based review platforms could also enable greater transparency in review moderation and incentivize genuine contributions from users through token-based reward systems.

Augmented Reality (AR) and Virtual Reality (VR)

AR and VR technologies offer exciting opportunities for enhancing the customer experience and driving engagement through immersive review platforms. In the future, businesses may leverage AR and VR to create interactive virtual environments where customers can explore products and services and view user-generated reviews in a more immersive and engaging manner. These technologies have the potential to revolutionize the way customers interact with reviews and make more informed purchasing decisions.

Data Privacy and Security

We anticipate increased focus on implementing robust data protection measures in review management platforms. Enhanced encryption protocols, decentralized storage solutions, and compliance with stringent data privacy regulations will become increasingly important to safeguard customer data and maintain trust in review platforms.

Voice Search and Natural Language Processing (NLP)

As voice search continues to gain popularity, businesses will need to optimize their review management strategies for voice-enabled devices and platforms. NLP technologies will play a crucial role in understanding and analyzing conversational queries and user-generated content, enabling businesses to provide more relevant and personalized responses to customer feedback.

The convergence of these emerging technologies and industry trends will shape the future of review management, driving innovation, improving transparency, and empowering businesses to build trust and credibility in the digital marketplace.

What should people do to stay up to date and adapt to these changes? What will you do in this regard?

This is ur roadmap for the future:

• Stay updated by attending events, joining online communities, and taking courses in areas like AI and digital marketing.
• Connect with others in the industry through forums and social media to share ideas and learn from each other.
• Form partnerships with trusted companies and industry leaders to access resources and stay ahead.
• Keep improving our platform with new tech to help you manage reviews better.
• We’ll provide guides and support to help you understand industry changes and use our platform effectively.
• Our team will always be there to answer questions and offer advice whenever you need it.