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How Trendemon Agentic Chat Is Changing B2B Website Experiences with Avishai Sharon
Trendemon CEO Avishai Sharon explains why B2B buyers now consume 50 percent less content but convert 3.5x more and how agentic chat helps marketers adapt.
Quick Jump
Trendemon analyzed 120 million B2B buyer journeys across 2024 and 2025. The findings confirm something many marketers already suspect when looking at their analytics dashboards. The buyer journey is compressing.
In a conversation with Trendemon CEO Avishai Sharon, he explained what his team discovered and why it matters.
The shift is not just about where traffic comes from. Itβs about how buyers interact with information on your website once they arrive.
Many marketing teams still design websites around the idea that buyers will browse multiple pages, compare options, and slowly work toward a conversion. The data suggests that we should no longer make this assumption.
TL;DR
- B2B buyers are arriving on B2B vendor websites with more context and less patience.
- Buyers in 2025 consumed about half the content they did in 2024.
- Traffic is down but conversion rates increased roughly 3.5 times.
- Trendemon built Signal to help buyers find the answers they want quickly and easily.
- The future of B2B marketing: ruthless prioritization as weβre forced to do more with less budget.
- Avishaiβs word of wisdom: relationships and gaining the trust of B2B buyers will be the key to winning revenue in an agentic future.
Website Traffic Patterns Are Changing
Traffic to B2B websites originating from LLM tools such as ChatGPT, Perplexity, and Claude has grown rapidly. At the same time, traditional organic search traffic has declined and many companies have increased their paid investment on LinkedIn to compensate.
Those trends matter, but they are not the most interesting finding.
The more surprising shift happens after a visitor reaches the website. Buyers now consume far less content than they used to. Trendemonβs data shows that visitors from target buying groups read roughly half as much content in 2025 as they did the year before.
Visitors from buying groups have been reading half as much in 2025 as they did in 2024. And we expect that trend to become even stronger going into 2026.
This does not mean buyers are less interested. It means they are arriving with clearer intent.
Conversion from organic traffic to deals increased by roughly 3.5 times in the journeys Trendemon analyzed.
The most likely explanation is that buyers are completing much of their research before visiting a vendorβs website. LLM tools that pull from analyst content, community discussions, and peer recommendations now play a larger role in the early stages of the process.
By the time buyers land on a company site, they are often validating details rather than exploring broadly.
Buyers that come to the website today are much more informed. They browse less and engage with a lot more purpose.
For marketing teams, this means the window for influence is shorter. You may have only one shot at a meaningful interaction with a visitor before they decide whether to move forward.
The Anonymous Buyer Journey Is Getting Darker
At the same time that research cycles are compressing, visibility into buyer identity is shrinking.
In the Trendemon dataset, only about 5.4 percent of visitors from identified companies had a known contact attached. A year earlier that number was closer to six percent.
The difference may seem small, but the direction of the trend is clear.
Buyers increasingly avoid form fills and gated content. They expect to gather information independently and reveal themselves only when they are ready to engage directly with a vendor.
Sharon described this pattern as the darkening of the buyer journey.
People are giving less information about themselves, and they are engaging anonymously for longer.
For marketers, that raises a difficult question. If fewer visitors identify themselves, how do you recognize buying intent when it appears?
Agentic Chat Introduces a New Model for Website Engagement
Most B2B websites still rely on a simple interaction model. Visitors browse content and eventually fill out a form.
That structure worked when buyers spent more time exploring vendor websites. It becomes less effective when buyers arrive with specific questions and little patience for friction.
Agentic chat introduces a different approach.
Instead of navigating through menus and long content journeys, visitors can ask questions directly. The system retrieves answers from the companyβs own content and presents them in context.
Sharon explained the concept in simple terms.
The idea behind agentic chat is to give the buyer an interface where they can ask questions and get answers that are relevant to their situation. It reduces friction.
The experience becomes less about navigating pages and more about accessing information quickly.
How Trendemon Signal Works
To support this model, Trendemon created Signal.
Signalβs underlying LLM model indexes a companyβs website content, including blog posts, documentation, product pages, and case studies. Customers can also go beyond their own website and include resources like a knowledge base. Buyers then interact with that content through a conversational interface.
For example, a visitor might ask whether a product integrates with Salesforce or request examples from a specific industry. Signal searches the customerβs content library and returns responses that reference the relevant pages.
Because the answers are grounded in existing content, buyers can trace each response back to its source. This helps maintain accuracy while encouraging visitors to explore deeper resources.
The interaction also creates valuable signals for marketing and sales teams.
Questions about pricing, integrations, or specific industry use cases reveal meaningful intent even if the visitor never submits a form.
We can identify high intent signals such as questions about pricing or integrations and route those insights to sales teams even if the buyer stays anonymous.
What We Liked Most About the Demo
There were a lot of things we liked about Signal, but here are a few of our favorite moments:
- A customerβs ability to control question parameters, such as blocking abusive or off-topic questions, and see recommendations for content needed to fill answer gaps.
- The control panel that allows Trendemon clients to see exactly how an identified visitor has interacted with content over time.
- Seeing how Trendemon demonstrated literal ROI in their platform, capitalizing on their access to account-level content journeys and CRM deal data.
- The way Signal behaves like LLM chat interfaces, fetching dynamic answers and surfacing links so readers can access related content.
During the demo, Sharon demonstrated that last item with a simple scenario.
A visitor asks whether there are case studies related to healthcare organizations. Signal reviews the indexed content and returns several examples along with links to the underlying case studies.
When the visitor opens one of those examples, the interaction is recorded as a contextual signal rather than just another page view.
From a sales perspective, the signal provides meaningful insight. Someone from a healthcare company is actively exploring healthcare-related examples.
The system acts on behalf of the buyer to find the information they need, and on behalf of the company to identify intent.
This kind of context can help teams recognize serious buying interest at the account level even when the individual visitor remains anonymous.
How TrenDemon Helps B2B Marketers Adapt to Changing Buyer Behavior
Several shifts are happening at the same time.
AI discovery tools are changing how buyers gather information. Research cycles are becoming shorter. Buyers increasingly avoid interactions that require them to reveal personal information too early.
The takeaway is not that websites matter less. In many ways, they matter more.
The role of the website is evolving from a static collection of pages into an active participant in the buyer journey.
Tools like Signal make it possible for B2B marketers to create a more dynamic website experience by:
- Making answers easier for buyers to find quickly
- Reducing friction by surfacing content that is relevant to the visitor
- Capturing signals of intent without relying solely on form submissions
Buyers today arrive informed, selective, and often anonymous. The companies that succeed will be the ones that design website experiences capable of meeting buyers exactly where they are.If you want to see how this works in practice, take a look at Trendemonβs Signal platform and explore how it turns everyday website interactions into meaningful buyer intent signals.
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