How TrustRadius Boosts Discoverability in AI Search
AI search is quietly reshaping how buyers discover software. Instead of typing a question into Google, more buyers are turning to tools like ChatGPT, Perplexity, and Gemini to ask things like “What’s the best CRM for a small team?” or “Which project management platform integrates well with Slack?”
Turns out, AI tools aren’t only pulling from web results, they’re also pulling directly from TrustRadius.
Across ChatGPT, Google, Meta, and Perplexity, TrustRadius content is being crawled and referenced more than 9 million times every month. ChatGPT alone accounts for more than four million of those crawl requests. That’s around 130,000 per day.
According to our Google web analytics, AI traffic is also skyrocketing across our site:
- Product and pricing pages grew 21% month over month, and 118% year over year
- Pricing pages jumped 319% year over year
- Blogs saw a 984% increase year over year
- And ChatGPT now leads all AI traffic sources, up 2,512% year over year and still growing 21% month over month
Generative engines are crawling structured, verified, and detailed content from TrustRadius to fuel the summaries and recommendations buyers see in their chat-based searches.
Meaning, AI sees TrustRadius as a trusted data source. Vendors represented here aren’t just visible, they’re discoverable in the places where software decisions are actively happening.
The research process has been updated
Why exactly is this happening?
The way people search has fundamentally changed. Buyers aren’t browsing through pages of blue links anymore. Instead, they’re asking AI tools to interpret the information and present them with a summary.
When someone turns to AI search, they’re not looking for a list of websites, they’re looking for a summary that feels like an informed recommendation, and since these tools digest information and deliver context in seconds, it changes what discoverability means.
To be discovered in 2026 and beyond, your content needs to be trusted by AI. It needs to be verifiable, detailed, and structured enough for AI models to understand and summarize accurately and, is then, prioritized. That means thin landing pages and short, generic reviews don’t make the cut anymore.
Enter generative engine optimization, or GEO. Think of GEO as what SEO was just a few years ago. However, instead of optimizing for algorithms that rank pages, GEO focuses on structured content that is crawlable by AI tools. GEO is what helps you show up in AI-generated results, where buyers are increasingly starting their research.
As AI continues to shape how people evaluate software, the questions for vendors become clear. How can you make sure your product is:
- Represented correctly?
- Discoverable where buyers are searching?
The opportunity for vendors
This shift can be a chance to stand out.
What AI finds and how it interprets your brand depends on the quality and structure of your content. You won’t appear in a “Top 5 tools for…” list if your product isn’t represented in the data AI tools trust.
The good news is that AI favors the same qualities buyers do: authenticity, depth, and proof. That means there’s a huge opportunity for brands that go beyond surface-level marketing and lean into transparency.
Here’s what that could look like in practice:
- Verified reviews and user-generated content (UGC) that act as trust signals and give AI confidence to reference your product accurately.
- Structured, detailed content like long reviews, use cases, and ROI insights that help AI interpret your value.
- GEO-optimized content that ensures your brand is positioned correctly and not overlooked.
And that’s exactly where TrustRadius comes in.
How TrustRadius helps vendors with discoverability
Our platform is designed to give AI the kind of credible, detailed information it needs to show your product to buyers who are searching for their next purchase. Here’s how:
- Verified, long-form reviews: Every review on TrustRadius is verified, moderated, and structured for clarity and depth — exactly the kind of content AI loves to crawl. Nearly half of all inbound reviews are rejected before publication to maintain our standard. It means that our reviews can be trusted by AI.
- Structured content AI can interpret: Our pages are organized around how people search for software: by use case, features, and outcomes. This structure mirrors how AI models look through data, making it easier for these tools to find the right context around your products.
- Reviews that go beyond star ratings: Published reviews on our site include multi-paragraph insights, real-world results, and comparisons across tech stacks. That kind of detailed, full context gives AI tools something more to work with.
- Customer voice tools built for GEO: Tools like TrustQuotes for Web (TQW) let vendors highlight specific customer stories, benefits, and proof points directly within their owned content. This strengthens GEO, telling AI where and how a brand fits in with the market.
When these elements work together, they form a connected content ecosystem that AI can understand and trust. When AI finds content it can trust, the answers buyers seek will include that content, boosting discoverability in the process.
TrustRadius acts as the bridge between vendors and AI-driven visibility. By providing the kind of detailed, authentic, and organized content AI trusts, we help to make sure your brand’s story is told the right way.
To learn more about how your platform shows up in generative search results, explore our GEO guide.
