Support tools for software companies have multiplied. Almost every help desk now offers an AI assistant, and a dozen standalone products promise to deflect half your tickets. Choosing a chatbot for a SaaS website has become harder, not easier.
This guide covers what actually matters when choosing a support assistant for a software product, the questions worth asking any vendor, and how to test before you commit.
What matters most
Accuracy on your own content. The assistant should answer from your documentation, not general knowledge. An assistant that sounds confident and gives answers from outside your docs will eventually say something wrong about your product.
Admitting uncertainty. When the docs do not cover something, it should say so and capture the question or hand over, not improvise.
Clean handover. Complex issues should reach your team with the full conversation attached.
Visibility. You should be able to read conversations and see which questions went unanswered, so you can improve your docs.
Placement. It should work on your marketing site and docs, not just inside your app, because trial users and buyers get stuck there too.
Questions to ask vendors
Where do answers come from? Ask how it learns your docs and how often it updates.
What happens when it does not know? Ask to see it fail. A good vendor will show you.
How is it priced? Per resolution, per conversation, per seat or flat? Model your volume under each. Per-resolution pricing can look cheap at low volume and become expensive as you grow.
How long is setup? It should be hours, not weeks.
What can it do beyond answering? Can it open tickets, capture leads, hand over to a person?
Can you see the gaps? Unanswered questions are your documentation backlog.
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Testing on your own tickets
Demos use questions that work. Your tickets will include ones that do not. The best test is simple:
- Export twenty recent tickets.
- Ask each first message to the assistant, word for word.
- Score each answer: right, vague or wrong.
- Check what happened with the wrong ones: did it admit it, or make something up?
Vague and wrong answers are usually documentation problems, and the same test shows you where your docs need work. The setup process is covered in how to train a website assistant on product docs.
Coverage across time zones
If your customers are global, check how the assistant handles out-of-hours questions and whether it replies in the customer's language. This matters more than most buyers expect, as covered in a website assistant for out-of-hours SaaS visitors.
Where SpideyChat fits
SpideyChat for SaaS companies trains on your website and docs, answers at any hour, opens tickets and hands over to people with context, and logs unanswered questions as knowledge gaps. It is priced as a flat monthly plan rather than per resolution. You can compare the plans against your expected volume.
It installs on your marketing site and docs with a script tag. It does not sit inside your product's own interface unless you embed it there.
Mistakes teams make when choosing
The most common is choosing on the demo alone. Demos are built from questions that work. The second is ignoring the cost of setup and upkeep: an assistant that needs weeks of configuration and a dedicated person to maintain it costs more than its subscription. The third is judging only on deflection numbers. A tool that deflects many tickets by making support hard to reach will cost you customers, which is why escalation rates and answer ratings deserve equal attention.
Watch for overpromising
Be wary of claims like "resolves most tickets automatically" without a clear definition of resolved. Ask how it was measured, and on whose tickets. Ask what counts as a resolution if the customer simply stopped replying.
The same caution applies in other industries. Estate agents choosing an assistant face similar sales pitches, and choosing a website assistant for an estate agency covers the same pattern of questions from a different angle.
Seeing it before deciding
Try working examples before booking sales calls. You can explore the live demo assistants to see how answers look, then test with your own docs. For a wider view of how software companies use assistants, see AI chatbots for B2B software companies.