Hiring Someone to Build Your AI Knowledge Base: What $90, $3,000 and $20,000 Buy
If you search for someone to set up an AI that knows your company, you’ll find prices from $30 to $20,000 for what sounds like the same thing. Most of the difference is about what happens after the first demo: whether the answers stay current, whether you can check where they came from, and whether you still own the thing when the freelancer moves on.
I build these for a living, so I’m biased. To check my own assumptions, on October 12, 2026 I went through Fiverr the way a buyer would. I ran 30 searches, tore down 56 gigs across seven kinds of offer, and read their packages, FAQs and recent reviews. Fiverr is one marketplace, and I collected this logged out, so treat the numbers as a snapshot of what’s on offer, not the whole market.
What each price buys
Show the data
| Offer | Package prices | Reviews on the leading gig |
|---|---|---|
| Website chatbot | $30 / $50 / $85–90 | 226 and 65 |
| Custom GPT setup | $100 / $250 / $400 | 22 |
| Private company-knowledge chatbot | $500 / $1,500 / $3,000 | 6 |
| Internal AI tools | $250 / $4,300 / $10,000 | 40 |
| Connect company data to your AI | $6,000 / $8,000 / $20,000 | 7 |
$30 to $90: a website chatbot. The busiest gigs by far. The leader has 226 reviews and builds chatbots for social media inboxes. These answer your customers from your FAQ page. Useful, but your team won’t ask it what you promised a client last Tuesday.
$100 to $400: a custom GPT, set up for you. Someone writes the instructions and uploads your files to a custom GPT. That’s an afternoon of work you can do yourself, and the format is on its way out: OpenAI’s retirement FAQ planned to end creation of new custom GPTs on September 25, 2026, and existing ones stop running on December 11, 2026. I covered where a GPT works and where it breaks in this post.
$500 to $3,000: a private chatbot over your documents. This is retrieval: search pulls the relevant passages from your files and the model answers from them (how that works, and the alternatives). At this price you usually get one batch of documents loaded once. Ask how new documents get in, because the answer is often “send them to me.”
$4,000 and up: a system connected to where your work happens. Email, calls, shared drives and CRM, synced on a schedule, with rules about who sees what. The top gig in this range sells packages at $6,000, $8,000 and $20,000 and has 7 reviews. The best-reviewed internal-tools seller (40 reviews) tops out at $10,000. Business buyers do pay these prices, just rarely through a marketplace.
What the buyers were worried about
The sellers’ FAQs are a decent record of what buyers ask, since sellers tend to answer the questions people actually send. 38 of the 56 gigs had an FAQ. Two worries dominated:
- What happens after delivery came up in 10 of them: “Can I update the knowledge base later?”, “What’s the monthly cost after delivery?”, and my favorite, “What happens after delivery - do I need you forever?”
- Privacy came up in 6: “Is my data private?”, “Can this run privately?”
Accuracy barely showed up. Two FAQs asked whether it makes things up, and exactly one asked “Will the chatbot show sources?” That’s the gap I’d worry about as a buyer. The way you catch a wrong answer is by clicking through to where it came from, and almost nobody selling these leads with it. None of the FAQs asked which AI model it uses, which is about right, because that matters less than people expect.
The reviews on the higher-priced gigs pointed the same way. The praise went to the person: they understood the idea quickly, asked the right questions, caught problems the buyer hadn’t thought of, and gave a clear scope with realistic costs.
Six questions to ask before you pay
1. How does new information get in after you leave? The right answer names a schedule and a mechanism: “your email syncs three times a day” or “new files in this folder get indexed every night.” The wrong answer is “just send me the new documents.” Our own system syncs email three times a day and checks for new call transcripts every hour, and keeping that running was more work than the initial build.
2. Show me where an answer came from. Ask a question during the demo and click through to the source. If it can’t show you, you’ll have no way to check it when it’s wrong, and it will be wrong sometimes.
3. Who can see what? If your sales lead and a new contractor get the same answers from the same pile, you can never add a contract or a salary band. Ask how access is set up per person.
4. Whose accounts does it live in? It should live in accounts your company owns. If it lives in the builder’s account or on a platform only they log into, you’re renting it from them.
5. What will it cost per month once it’s built? Search and model costs can be small. Our search layer indexes 1,365 documents for somewhere between $0 and $6 a month. Ask for a number, and ask what makes it go up.
6. What did it get wrong when you tested it? Anyone who has built one of these has a list. If they say “nothing,” they didn’t test it on real questions.
Answers that should worry you
“We’ll train the AI on your data.” Almost nobody at these prices is actually training a model, and you probably don’t want them to (why). If they mean retrieval, fine, but you want someone who knows the difference.
A demo built on their data, not yours. Every system looks great on documents picked to make it look great. Ask for a test on five real questions from your team, with your files.
No plan for documents that are wrong. An AI repeats what your documents say with full confidence. When I went looking in my own company, I found a README describing a running job as “Planned” and a finance doc that said 73 vendor rules when the file had 151 (all five places it hid). A good builder asks about this before quoting.
A price with no scope. “AI knowledge base, $2,000” tells you nothing. A scope names the sources, the people, what the first version answers and what it doesn’t.
When to hire at all
If you’re one person with a few documents that rarely change, do it yourself. If your knowledge already lives in well-run apps and you have more than a few dozen people, a workplace search tool may be simpler (the four routes compared). Hire someone when your knowledge is spread across email, calls and people’s heads, and nobody on the team has time to pull it together.
That’s the case I build for. One team’s email, docs, calls, spreadsheets and calendar, access rules per person, in accounts you own. It’s from $3,997 for a team of up to 20, live in 14 days or all your money back, and you can ask me all six questions above on the free call. Or try the demo first and ask it a question yourself.
