I used to think the way to win a wary buyer was to make the product better. Add the feature they asked about. Tighten the pitch. Have a cleaner answer ready for the next objection. So that is what I did, for a long time. And the question that kept coming back was not about any of it.

The question, over and over, was some version of this. Who else is using this? Am I the first one? Nobody says it that plainly, but that is what they are asking. In our own meeting this week the phrase that came out was "the guinea pig" - the moment someone lands on the page, before they read a single feature, they want to know if they are about to be the guinea pig. I had spent months answering a question nobody was asking.

What I was getting wrong

The trust was there first, or it was not.

My instinct, when I heard "who else uses this", was to answer with more of me. More claims. It is proven. It is reliable. Teams like yours already trust it. Adjectives, basically. And a claim about trust is the one thing you cannot make about yourself and have it count. The seller saying "trust me" is noise. It has always been noise. I just did not want to hear that the thing I could improve - the product, the copy - was not the thing standing between me and the reply.

You can see this in my own inbox. I get cold pitches every day now, and almost all of them have the same shape. "We help teams automate that layer. Curious if that is something you would find useful?" A capability, stated flatly, with nothing behind it. No sign that anyone like me already did this and it worked. Just a claim and a question mark. I do not reply to those, and I run a company that sells outreach. If it does not move me, I am not sure why I thought it would move the people I send it to.

What the buyers actually do

The numbers on this are not close. SurveyMonkey and Reddit ran a survey of 1,202 US business decision-makers over the turn of this year, and asked which sources they trust when they are buying. Peer insights came first at 73%. The vendor's own website - the place where the vendor gets to say whatever it wants about itself - came in at 55%. People trust other buyers about you more than they trust you about you, by eighteen points.

The same survey found 83% of decision-makers do their own research before they will speak to sales at all. One of the researchers put it in a way I could not improve on. "When we're looking for new tools and technology, we ask around, read the reviews, search for competitors, and do our homework long before we ask to talk to sales." By the time someone fills in your form, the deciding is mostly done, and it was done somewhere you were not in the room. And 48% of them said the hard part was finding real user testimonials at all - not that they did not want proof, that they could not find any they believed.

So the picture is a buyer sitting alone, doing homework, looking for evidence that someone like them already went first and came out fine. And on the other side, a seller adding features and polishing sentences, answering a question the buyer stopped asking a while ago.

Where the trust actually comes from

The fix is not a better claim. You do not manufacture trust, you inherit it.

Here is the honest version of what we do, and it took me a while to see it as the strength rather than a thing to hide. Our agent layer sits on top of an open, well-established system that big companies already run in production. We did not invent the foundation last quarter. It is proven, it is out in the open, and a buyer who does not believe us can go download it and run it themselves without paying us a cent. What we add is the intelligence on top, and the work of setting it up for their actual business. The buyer is not the guinea pig for the base - thousands went first, in public, and their systems are still running.

That reframes the whole conversation. I stopped trying to look impressive and started pointing at what was already true underneath. Not "trust us", which is noise, but "here is the thing thousands already trust, go check it yourself, and here is the small useful part we do on top of it". The trust was not mine to give. It was already sitting in the foundation, and my job was to get out of the way and let them see it.

The same law, in the outreach numbers

I did not have to look far for proof of the principle, because the outreach data on this account says the same thing in a different language.

A message to someone I am already connected to - where a bit of trust already exists, however thin - replies about 75% of the time. 27 of the last 36. A cold corporate pitch to a stranger, the "we specialize in custom AI solutions" kind, replies 16%. 137 of 838. Same account, same week, same person writing. The only variable that moved was whether any trust was there before the message landed.

The pitch did not fail because the words were bad. Some of those cold openers were carefully written. It failed because there was nothing behind the words, and the reader knew it, the same way I know it when it lands in my inbox. The warm message worked not because it was cleverer but because the reader had a reason to believe it before they read it. You cannot type your way into that. It is there or it is not.

What I would tell the earlier version of me

Stop improving the answer to the question. Go find the question.

The wary buyer is not asking you to be better. They are asking to not be first, and they are doing the checking themselves whether you help them or not - 83% of them, before they ever talk to you. So the useful work is not another feature and not a smoother line. It is making the proof easy to find. Who already went first. What you are built on that they can verify without you. The one honest thing they can check that does not depend on you saying it.

Being a bit honest with ourselves, we spent a long time polishing the part that was never the problem. The part that was the problem is quieter and harder. It is whether, when someone goes looking for a reason to believe you that does not come from your own mouth, they find one.

Nothing extraordinary in that. Just a thing I had backwards for a while.


Sources

Every figure below traces to a document actually opened this run.

First-party (Reach, this account, 2026-09-01)

  • Team meeting transcript, 2026-09-01 — Google Drive doc 1Aa0FiMIzHclhz5YfFe20cMRGhxdLlwEh4Tt0S0CniRA, Transcript section (read in full, not the Gemini summary).
  • Pravin Luthada on why buyers hesitate: "the moment user lands on reading... anything they want to know who else is actually using or am I the first one, you know, to really be the guinea pig?" — the "guinea pig" phrasing is his.
  • The team's marketing decision: lead with the proven, well-established open system the agent layer is built on, so trust is inherited, not claimed — "there is nothing white coded about the actual proven ERP system... the ERP system is there already ready and proven and we basically definitely add the agentic capabilities on top and then we help implement it." Buyer-verifiable foundation: "if that's what they want to do... they should be able to just go to [it], download and install."
  • The specific third-party company names raised in the meeting as users of that open system are deliberately excluded from the story — they are unverified third-party claims, and the story does not need them.
  • Reach get_results, this run — by approach: shared_asset (a note to someone already connected) replyRate 0.75 (27 of 36); by opening line the cold corporate pitch "We at Linkenite specialize in custom AI solutions" 0.163 (137 of 838); overall median time-to-reply 0.8h. Load-bearing for the warm-vs-cold reply gap.
  • Reach get_account_state / get_inbox, this run — the account's own inbound cold pitches share the shape "we help teams automate that layer... curious if that's something you'd find useful?" (ContactOut) — a bare capability claim with no proof behind it. Used for the "a claim is noise" point. Sender not named in the story.

Secondary (opened + verified verbatim; primary reached)

Deliberately not used

  • Third-party ERP-system user names discussed in the meeting — unverified third-party claims; excluded per the house rule against unverifiable claims about other companies.
  • Aggregated "29% trust vendor sales reps" and "77% read reviews" figures seen in a listicle roundup were not carried, because they were not confirmed in the primary I opened.
  • No price. No competitor named or recommended.

Other Blogs

2024-03-26
Operational Optimization
AI-Driven Insights for Modern HR Management

Artificial Intelligence (AI) is transforming industries, and Human Resource Management (HRM) is no exception. But how exactly is AI reshaping HR practices? Let’s delve into the key trends, benefits, and future directions of AI in HRM.

Read More
2024-03-26
Human-in-the-Loop Workflows
The Importance of Human Intervention in AI-Driven Workflows

LLMs are designed to predict the next word or sequence based on vast amounts of training data. This predictive capability, while powerful, is inherently prone to errors

Read More
2024-03-26
Human-in-the-Loop Workflows
Enhancing the Reliability of GPT-Assisted Market Research through Human-in-the-Loop Methodologies

The rapid advancements in artificial intelligence, particularly with Large Language Models (LLMs) like GPT (Generative Pre-trained Transformer), have revolutionized market research.

Read More
2024-03-26
Operational Optimization
Leveraging Human-in-the-Loop AI for Reliable Supply Chain Innovation

The emergence of generative AI tools like ChatGPT has sparked tremendous excitement and opened up a world of possibilities for how businesses operate. While the potential applications for AI in the supply chain are

Read More
2024-03-26
Human-in-the-Loop Workflows
Sales Enablement with Human-in-the-Loop AI

In today's fast-paced business environment, advancements in artificial intelligence (AI) have significantly transformed the sales landscape.

Read More
2024-03-26
AI Strategy and Consultation
How Human-in-the-Loop AI Enables Customer Engagement and Marketing

In the fast-paced world of digital marketing, businesses are constantly seeking innovative ways to engage with their customers and stay ahead of the competition. Generative AI, such as GPT, has emerged as a powerful tool

Read More
2024-06-06
AI-Powered Solutions
Strategic Approaches to Leveraging AI Innovations

2024 brings transformative trends that will shape the future of technology and business. From multimodal AI to ethical AI development, understanding these trends is crucial for staying competitive. Discover how open-source frameworks are democratizing AI, how customization enhances user experiences, and why edge AI is revolutionizing data processing. 🚀 To dive deeper into these insights and strategic approaches, click on "Read more" below: Key Takeaways: Multimodal AI: Integrates text, image, and audio data for improved accuracy. Open Source AI: Accelerates innovation and reduces costs. Customization: Tailors AI solutions to specific needs for better outcomes. Edge AI: Enhances performance and privacy in real-time applications. AI in Cybersecurity: Protects against sophisticated threats. Ethical AI: Ensures transparency, fairness, and compliance. Stay ahead of the curve by leveraging these AI and machine learning trends in 2024. Embrace the future of technology and drive innovation in your business! 💼💡

Read More
Quick Contact