Preset prompts that script the entry point without scripting the whole conversation
SleekAI adds an AI chatbot for Chatbot with Preset Prompts to your WordPress site. It answers from the content you choose, such as posts, pages, custom post types, post meta, taxonomies and user data, with your own OpenAI, Anthropic, Google, or OpenRouter key.
Answers from your own WordPress content
If you look at the first message in a thousand chatbot conversations you will find that ten or fifteen phrasings cover eighty percent of them. Where can I find pricing. Is this in stock. How do I reset my password. The conversation is already a near-template before the model gets involved. Pretending otherwise wastes the visitor’s first seconds and the model’s first tokens on rephrasing.
Preset prompts let you skip that. The widget renders them as buttons above the input, the visitor clicks one, and the conversation starts already pointed at the right topic. Because the click fires a normal user message, the model still answers with full access to your mapped wp_postmeta and taxonomy terms, so the reply is grounded in real data instead of a static FAQ entry.
The difference from a static FAQ is that the preset is the entry point, not the whole conversation. Once the visitor has clicked, they can follow up with typed questions and the bot keeps answering with full context.
Features
Configurable preset array
Each chatbot record has its own ordered array of presets with label text.
Answers from your data
Map post titles, content, post meta, taxonomies or a WP_Query into the instruction, and the bot answers from what your site actually publishes.
Your model, your key
Use OpenAI, Anthropic, Google, OpenRouter or a compatible endpoint with your own API key. The provider bills you directly.
Where preset prompts earn their keep
Repeat questions
Answer the questions visitors ask every day from the pages and posts where you already answer them.
The next step
Put your booking page, contact form or pricing page in the instruction so the bot links visitors there when they are ready.
Logged-in visitors
With user and user meta data in the context, a logged-in visitor can ask about details stored on their own account.
How preset prompts actually work
Pick the three intents per page
Pricing pages usually surface three intents: trial, plan compare, refund. Product pages surface stock, shipping, returns. Pick three per bot.
Map your data
Choose the posts, fields, taxonomies or users the bot should know and reference them in the instruction.
Pick the label heading
You can change it to Quick start, Common questions, or whatever fits the page tone. Choose one consistent label across the site so visitors learn the pattern.
Iterate on log data
Replace presets that get clicked but never lead past one turn. Promote presets that drive multi-turn conversations to the first position.
Why preset prompts matter
The first second after a visitor opens a chatbot is the most expensive second in your funnel. They have committed enough to click the widget but not enough to compose a question. If you leave them staring at a blank input most of them close it. Preset prompts are the cheapest possible bridge across that gap.
The data is consistent across industries. Chatbots that ship with three context-relevant presets see roughly double the rate of conversations that go past the first turn. That is not a model improvement, it is a UX improvement that compounds over every visitor for the life of the site.
Beyond conversion, preset prompts produce a much cleaner signal for product and marketing teams. Typed input is noisy and full of variations. Preset clicks are countable. Presets also let you ship a more conservative bot without losing usefulness. The bot becomes less of a wide-open generalist and more of a focused assistant for the page it lives on.
That focus is what makes a chatbot feel competent. The visitor sees three concrete starts, picks one, gets a real answer grounded in real data, and the rest of the conversation flows from there. A bot without presets is a blank invitation. A bot with presets is a guided tour.
Frequently asked questions
How many presets should I show?
Three is the sweet spot for most layouts. The widget supports more, but visitors stop reading after the third chip. If you need to cover more topics, create separate chatbots per page section instead of cramming everything into one list.
Are presets just static FAQ entries?
No. Clicking a preset sends the preset text into the model as a user message, so the reply is generated live from your mapped data. The model can quote current prices, current stock levels, and current postmeta values rather than reading from a frozen answer.
Do presets disappear after the first message?
By default yes, so the conversation view is uncluttered.
Can I tie presets to user roles?
Yes. Pair a chatbot with role-specific presets, like an admin chatbot whose presets cover plugin config, or a member chatbot whose presets cover account questions.
Which AI providers does it support?
OpenAI, Anthropic, Google and OpenRouter, plus custom OpenAI-compatible endpoints. You bring your own API key and the provider bills you directly.
Where does the chatbot get its answers?
From the WordPress data you map into its instruction: post titles and content, post meta, ACF and Meta Box fields, taxonomies, terms, users and user meta, or a WP_Query. Values resolve on every request.
Can it act on a visitor’s behalf?
No. A chatbot answers questions. It does not submit forms, create bookings, open tickets or send email; put the links for those steps in its instruction so it can point visitors to them.
Can I control where the chatbot appears?
Yes. Display conditions cover post type, post, post status, post template, taxonomy, term, user role, logged-in state and WordPress conditional tags such as front page, archive, search and 404.
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