In an internet overflowing with opinions, ratings, and user comments scattered across dozens of platforms, one truth has become universal: finding trustworthy reviews is harder than ever. From Amazon and YouTube to Reddit, TikTok, blogs, and niche forums, feedback is everywhere, yet no single place brings it all together in a way that is easy, comprehensive, and reliable.

This sprawling fragmentation is what inspired AIreviews, which describes its product as “the world’s only AI-powered review search engine modelled after Google’s framework.” Led by CTO Mahim Mittal, the startup is quietly building what could become the next consumer habit in product research, a place where every review from every platform is unified, summarised, and delivered in real time.

With a global launch planned for early 2026, AIreviews is positioning itself not as yet another review aggregator, but as a new search layer for the internet itself.

The Problem: Reviews Are Everywhere and Nowhere

The need for AI reviews emerged from a simple realisation:
Finding reliable reviews online has become a fragmented, exhausting experience.

“Today, there are dozens, sometimes hundreds of places where users can leave reviews,” Mittal explains. “AIreviews will collect reviews from all sources, summarise them, and present the top and bottom three reviews. This gives users a complete picture with real-time sentiment trends.”

The company believes the current search and review ecosystem hasn’t kept up with how consumers behave. Traditional search engines can surface reviews, but they don’t unite them, verify them, or help contextualise sentiment at scale. Dedicated review sites, meanwhile, only capture a sliver of total public feedback.

AIreviews is betting that an AI-layered approach, one that mirrors the indexing fundamentals of Google, can do what no one else has done:
create a single, trusted search engine for the world’s opinions.

A $1.34 Million Domain Name That Says It All

One bold signal of the company’s ambitions is its recent acquisition of AIreviews.com for $1.34 million.

For Mittal, owning the domain wasn’t a vanity purchase it was a strategic one.

“Having such a strong URL that says exactly what the app does is incredibly powerful,” he says. “Think Instagram.com or YouTube.com those names instantly communicate the product. AIreviews does the same.”

The price tag reflects the startup’s long-term vision: to become the global default for reviews in the same way Google became the default for information.

Patented Summarisation Engine: Authenticity at the Core

In an era where AI tools are scrutinized for hallucinations or rewriting user content, AIreviews is taking a purist stance.

Its patented system aggregates reviews from across the internet, but the summarisation is grounded strictly in the original text.

“The summarisations are based solely on the reviews themselves,” Mittal emphasises. “We use the exact text from actual reviews no marketing copy, no outside data.”

This rule extends to voice playback as well. AIreviews includes a feature that can read reviews aloud through text-to-speech (TTS), and even that is designed for authenticity: the voice reads the review exactly as it appears online.

This commitment to integrity, the company believes, will become a crucial differentiator as trust becomes the central currency of the AI era.

v1 Launching in 2026: Geo-Located Results, STT/TTS, and One Search for Every Review

AIreviews v1, expected to go live in early 2026, will debut with:

Geo-located review search

Comprehensive aggregation of reviews across all platforms

Summaries with the top and bottom three reviews

Real-time sentiment trends

Advanced Speech-to-Text (STT) and Text-to-Speech (TTS)
– with pause, play, and seamless voice navigation

The company sees its first version as a foundation for a new way of searching, one that blends voice, AI, and indexed public opinion into a frictionless consumer experience.

v2 Goes Further: Conversational AI, Product Video Generation, and Features for Drivers

Even before v1 is live, the team is already building v2.

The next iteration will include:

Conversational voice search using STT and TTS

AI-generated product videos based on search queries

Automobile-specific features for hands-free use while driving

This suggests a future where you could simply say:
“AIreviews, tell me whether this laptop is good.”
and receive a spoken summary, sentiment breakdown, and even an AI-generated explainer video all on the go.

The Future: Real-Time Sentiment, Influencer Vetting, and Enterprise Analytics

Looking ahead, Mittal sees AI-driven review consumption evolving rapidly.

When asked whether AIreviews might expand into new areas, such as live sentiment tracking, influencer validation, or analytics for enterprises, his answer is unambiguous: “Yes.”

With millions of online reviews posted each day, the company believes there is untapped value in macro-level trend analysis, fraud detection, brand reputation insights, and creator credibility scoring.

If AIreviews succeeds, brands, influencers, and enterprises could soon rely on it as much as consumers do.

The Beginning of a New Review Economy

AIreviews is not simply trying to organise the world’s opinions; it’s trying to make them trustworthy, digestible, and actionable. In the process, it may redefine how consumers make decisions and how businesses understand their reputation.

With a premium domain, a patented engine, and a clear mission, AIreviews is betting that the next era of search won’t just be about information.

It will be based on verifiable human experiences.

And if the company has its way, that experience will be just one search away.