Last week, we described how artificial intelligence (AI) is fundamentally changing the way organizations find the right vendors to help them solve their business problems. If you haven’t already read it, you can do so here:
In this blog post we’ll walk through some real-world scenarios, providing end-to-end examples of how a company might actually use AI to find and vet a qualified partner, using the example of “marketing fulfillment vendor.” By following these best practices, you can use your preferred search engine to find exactly what you’re looking for without having to scroll through pages and pages of links.
In Search of Comprehensive Marketing Fulfillment
How might a modern marketing ops or procurement team conduct a search for a potential marketing fulfillment vendor using AI-assisted search? Let’s explore the process.
The subject: a mid-sized tech company headquartered in California’s Silicon Valley. The goal is to find a local vendor who can help with the following:
- Event management
- Print production
- Kitting and assembly
- Warehousing
- Nationwide shipping and distribution
- Integration with their customer relationship management (CRM) system
Using traditional keyword search, this process, including associated research, could have easily taken this company two to four weeks. With AI-assisted search, this timeframe shrinks to just a few days. Here’s how.
Step 1: Define the requirements using an AI agent
Rather than going straight to a search engine such as Google Chrome, which you probably would have done in the past, use an AI program such as ChatGPT or Microsoft Copilot to clarify your needs. Enter some variation of the following prompt, changing the goal based on your unique needs:
“Help me define the requirements for a marketing fulfillment vendor for a tech company that participates in 50 local, regional, and national events per year and ships approximately 5,000 kits/month across the U.S.”
This simple prompt returns a goldmine of information that further focuses the search by identifying the must-haves that the right candidate must possess, such as kitting capabilities, inventory management, and shipping service level agreements (SLAs), as well as suggesting budget ranges and pricing models. Additionally, the response could reveal potential issues that hadn’t previously been considered—services such as returns handling, real-time inventory visibility, and API integrations.
The result: a clean requirements list that provides a starting point for the ultimate search. 
Step 2: Initial vendor discovery that goes beyond traditional search
Now that the requirements list for a marketing fulfillment vendor search has been compiled, it’s time to initiate the discovery process using AI-powered search engines such as Perplexity AI or by continuing with ChatGPT. This can be accomplished by entering some variation of the following simple prompt:
“Provide a list of California-based marketing fulfillment vendors offering event management services that also provide printing, shipping, and warehousing capabilities.”
Such a prompt should provide a mixed list of qualified vendors of varying sizes, along with short descriptions of their respective capabilities and often a short list of initial pros and cons for each. Unlike organic search engines, which favor larger companies that have cracked the search engine optimization code, and AI-assisted search includes more specialized niche vendors that are well aligned with your needs but might not rank all that highly on Google search.
Step 3: Structured comparisons, where AI really shines
Now it’s time to really put AI to work by asking it to organize the results. Using the same AI agent, enter the following prompt:
“Please provide a subjective comparison of these vendors based on services, industries served, technology integrations, and geographic reach.”
With the prompt, AI will produce a side-by-side comparison of the listed vendors, often in the form of a table, highlighting differences such as tech-enabled vs. manual workflows; industry specializations; distribution capabilities; and more. In a matter of minutes, AI provides a usable list that would have previously taken hours working with spreadsheets.
Step 4: Narrowing to a shortlist
Here is where the company needs to refine these results based on their specific needs. The following prompt is just an example for this particular scenario; substitute your requirements as necessary.
“Which of these vendors are best suited for a mid-sized company needing API integration with Salesforce and fast West Coast shipping?”
This is where AI starts separating the wheat from the chaff, eliminating the poor fits and highlighting the top candidates, along with a detailed explanation about why the shortlisted vendors are a good match. It’s actual detailed research and analysis, not just search engine results.
Step 5: Deeper vetting and due diligence
AI can help organizations dig deeper into the shortlisted vendors with the following prompts:
“Please summarize customer reviews and case studies for [vendor name].”
“What are common complaints or risks with companies like this?”
Following these prompts, AI will aggregate all available testimonials, case study insights, and known weaknesses to provide directional insight into each subject. It’s important to note that this is based on opinion, not the final truth, and further validation is required. At this point, a face-to-face meeting is invaluable—something that AI can’t do. 
Additional AI-Assisted Searches
At this point, the company should be armed with enough information to begin the interviewing process. However, AI isn’t finished helping. If needed, you can use your preferred AI engine to help you:
- Build a request for proposal
- Draft a vendor outreach e-mail
- Analyze the incoming proposals
- Identify any potential risks associated with the final prospects
- Assist with the final decision-making process
As with the previous steps, properly worded prompts produce the best results. AI can help you craft just the right language.
AI Is Driving Revolutionary Change
In the end, finding and selecting the right vendor is still a search process. How exactly is AI changing the game compared to the “old way”? The answer is “substantially.”
Before AI, finding the right vendor required multiple searches, manual website reviews, detailed spreadsheet comparisons, and lots of internal guesswork on requirements.
With AI, vendor searches are the result of conversational discovery, where those seeking services can articulate their requirements in simple English rather than trying to reduce them to simple (and often vague) keywords. With the right prompts, the results provide a list of qualified vendors, an instant and objective comparison, rapid shortlisting, and a better list of questions much earlier in the process to quickly focus your efforts.
The impact of these changes is measurable. According to research, AI improves the top 70 percent of the search process by helping clarify requirements must faster and clearer; making discovery faster, broader, and less biased by SEO; dramatically accelerating the vendor comparison phase; and confidently producing a stronger and solid shortlist.
The remaining 30 percent still relies on human interaction: interviews; reference checks; contract negotiations; determining relationship and cultural fits.
In other words, AI does not replace the vendor selection process—it upgrades it by asking better questions, unearthing more and better options, and helping make decisions faster.
OnFulfillment is happy to place our fate in the hands of AI; we are confident our capabilities will place us firmly at the top of any marketing fulfillment list. If you want to see why—and cut straight to the chase—simply visit our Contact Us page to request a meeting.
