What 252 Fiverr reviews say about hiring a chatbot developer

The short answer

252reviews read, duplicates removed

144different buyers behind them

1 in 4orders were over $1,000

92%were 5 stars

I read the most recent reviews on the gigs of all eight sellers on the AI chatbots and agents shortlist: 252 different reviews from 144 different buyers. Chatbot work looks different from plain workflow automation in two ways. Orders are bigger (a quarter were over $1,000), and buyers come back more: a third of buyers ordered again, against one in six for automation.

92% of the reviews were 5 stars. Read together, the reviews also point to two things that decide how a chatbot project goes, and both are settled before you order.

Chatbot orders run bigger, and buyers come back more

Same method on two shortlists: the reviews Fiverr shows first, duplicates removed.

Workflow automation (317 reviews)AI chatbots and agents (252 reviews)

Order price

Under $10029%
22% $100–$40039%
34% $400–$1,00021%
20% Over $1,00012%
24%

Returning buyers

Buyers who
ordered again17%
33% Reviews they
wrote33%
62%

How the reviews were read

• Sellers: the five Fiverr Pro and three up-and-coming sellers on the chatbots and agents page, one gig each.
• Reviews: the reviews Fiverr shows first on each gig, up to 35 per seller after removing duplicates (Fiverr loads some reviews twice when you expand the list). This is Fiverr’s own ordering, not a random sample.
• Read for: the price band and duration Fiverr prints under each review, which buyer each review came from, the rating, and the words used. 13 reviews had no readable duration.
• Not used: buyer names and quotes. Everything below is counted or paraphrased.

What buyers paid and how long it took

Order price (Fiverr band)	Share of reviewed orders
Under $100	22%
$100–$400	34%
$400–$1,000	20%
Over $1,000	24%

Duration printed on the review	Share of orders with a duration shown (239)
1–3 days	32%
4–7 days	29%
8–14 days	17%
15 days or more	22%

The price spread is wider than for automation. A support bot that answers from one FAQ document is a small order. A bot that reads your order system, books appointments, works on WhatsApp and the website, and hands over to a person is a project. Know which of the two you are buying before you compare quotes; they are likely to sit at opposite ends of both tables.

Two costs sit outside these numbers. The AI provider bills per message, and a hosted chatbot platform may bill per month. Both should run on your own accounts, which the acceptance list on the job page asks for, so that the price you compare is only the build.

Two things that decide how a chatbot project goes

Nearly every review was 5 stars: 231 of 252, with most of the rest between 4 and 4.7. Read across all of them, the reviews point to two things that make the difference on a chatbot project, and both are in your hands before the first order.

Define the job by real questions. A chatbot can meet every line of a vague spec and still miss what you needed it for. The fix is to define the job by real questions. The brief on the job page ties final payment to a 30-question test set and a never-do list. Write those 30 from real customer messages, with the answer you expect for each, and send them with the brief. Agree the pass mark (for example, no made-up answers and at most three weak ones out of 30) before the work starts, not after the demo.

What to send with the brief

Test set

30 real questions

Taken from real customer messages, with the answer you expect for each.

Limits

A never-do list

What the bot must refuse or hand to a person, every time.

Pass mark

Agreed up front

For example: no made-up answers, at most three weak ones out of 30.

Tie each milestone payment to its tests. On a long project, milestones are how you pay. They are also the only point where you have leverage. If a milestone is accepted with open bugs, the next one is built on top of them. Do not release a milestone payment until the tests for that milestone pass, and write that rule into the first message so it is not a surprise later.

Milestones are your only leverage. Use them.

Illustration: the same three milestones, paid two different ways.

Paid when its tests pass

M1 built→tests pass ✓→pay M1→M2 built→tests pass ✓→pay M2

Accepted with bugs open

M1 · 2 open bugs→M2 · 5 open bugs→M3 · 9 open bugs→problems pile up

One more practical point: if you need replies within your working day, ask the seller when they overlap with you before you order, and put it in the brief.

Count buyers, not reviews

This is where chatbots differ most from automation. 48 of 144 buyers left reviews for more than one order, and those buyers wrote 62% of all the reviews. For automation it was one in six buyers and a third of reviews.

35 reviews can mean 14 clients

Reviews read per seller, against the number of different buyers who wrote them.

Reviews readDifferent buyers

Abdullah Ramzan35
30 art_ab35
23 Bensbahou35
18 Luka Abramovic24
17 Hadj H.20
14 Nimit33
14 DotsBit Team35
14 Nasim Haider35
14

Seller	Reviews read	Different buyers	Buyers who ordered again
art_ab	35	23	11
Nimit	33	14	7
DotsBit Team	35	14	6
Nasim Haider	35	14	6
Abdullah Ramzan	35	30	5
Luka Abramovic	24	17	5
Bensbahou	35	18	4
Hadj H.	20	14	4

Two readings, and they pull in different directions.

Returning buyers are a good sign. A chatbot is never finished. New questions come in, the product changes, a new channel is added. A buyer who comes back for the fifth order has decided the seller is worth keeping. art_ab had eleven of 23 buyers return, and no rating below 5 in the sample.

But 35 reviews can mean 14 clients. At Nasim Haider, one buyer wrote 15 of the 35 reviews read. That is a real, long relationship, and also a reason not to read “35 reviews” as 35 different experiences. When you compare sellers, look at how many different buyers appear on the first page of reviews, not just the total.

What buyers praised

What buyers wrote about, across 252 reviews

Share of reviews using words in each group. One review can count in several.

Knew the tools~1 in 4 Fast delivery~1 in 4 Communication1 in 6 Would hire again1 in 7 Understood what I needed1 in 8 A bug or a fix1 in 12

“Understood what I needed” is rarer here than for automation. A chatbot’s job is fuzzier than a workflow’s, so the written brief matters more, not less.

How to use this when choosing

1. Match the order size first: one channel answering from one document is a small order; live systems and several channels are a project.
2. On the seller’s gig, read a few reviews from orders the size of yours, and note what buyers say about scope and communication.
3. Count different buyers on the first page. Returning buyers are good; one buyer writing half the reviews is worth knowing.
4. Send the brief with your 30 questions, the never-do list and the pass mark before you order.
5. On anything over two weeks, tie each milestone payment to that milestone’s tests.
6. Accept on your own questions, as in the acceptance checklist, not on the seller’s demo.