Watch a session replay of a visitor opening a chatbot for the first time. Most of them stare at the empty input for two or three seconds, type half a word, delete it, and close the widget. The blank text field is a much bigger barrier than any pricing page. Visitors do not know what the bot can do, what tone is acceptable, or whether their question will land. So they leave.

Suggested-question chips fix that. SleekAI lets you define a list of preset prompts that appear as clickable buttons above the input, with a configurable label like Try asking. The visitor sees three concrete questions, picks one, and the conversation is moving in under a second. Each preset is just a normal user message, so the bot replies with the same data-aware logic it would use for typed input, reading wp_posts, wp_postmeta, and any custom tables you mapped.

The real power is that presets are per chatbot, which means per display condition. The bot on the pricing page suggests pricing questions, the bot on a product detail page suggests shipping and return questions, and the bot on docs suggests integration questions. The visitor never sees the wrong nudge. Conversion lifts come from this kind of small contextual fit rather than from any model upgrade.

Most chatbot abandonment happens in the first three seconds, before any model is ever called. The visitor opens the widget, sees a blank input, fails to think of a clean question, and closes. No amount of model upgrade fixes that gap.

You need to bridge it with a concrete invitation, and that is what a preset chip is. The first preset is doing two things at once. It tells the visitor what kind of question fits this bot, by showing the bot's actual scope.

And it lowers the activation cost from typing to clicking. That combination is the cheapest conversion improvement in a chatbot setup. The contextual fit matters even more on a WordPress site where the same widget appears across very different pages.

A visitor on a product page does not want the same chips as a visitor on docs or pricing. SleekAI handles that with normal display conditions, so the bot on each page section has its own preset list without you maintaining a single global menu. Beyond conversion, presets give you a much cleaner analytics view of intent.

Typed input is noisy and varied, but preset clicks are countable. You can see exactly which question the page actually needs answered and adjust the page itself if a chip gets clicked thousands of times. That is feedback the site would never have gotten from a blank text input alone.

For B2B and ecommerce sites the lift is usually visible within a week of going live, just from removing the friction of the empty input.