AI Chatbot for SvelteKit Applications

SvelteKit ships remarkably little to the browser, and that is the point. The assistant is one tag in app.html, loaded after your content, adding nothing to the bundle you worked to keep small.

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See It In Action

For teams who chose SvelteKit for its output size

AI assistant added without changing bundle size

Bundle Size Untouched

Nothing is imported, so nothing is compiled in. The script arrives at runtime from a CDN, which means your build output is byte-for-byte what it was before.

Adding the Asyntai tag to app.html

One Tag in app.html

The shell template is the natural home for third-party tags. Add it there and every route inherits it, with no layout changes and no load functions involved.

AI independent of SvelteKit load functions

Independent of Load Functions

It does not touch your data flow, does not run in load, and does not care whether a page was server-rendered or client-navigated.

Chatbot answering product and docs questions

Answers Docs and Product Questions

The specific questions your pages deliberately leave out — limits, integrations, migration paths — answered in the moment rather than in an email thread.

Chatbot answering visitors in several languages

Thirty-Six Languages

Detected per visitor, with no changes to routing or hooks.

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Built for SvelteKit Merchants

One tag in app.html. Nothing imported, nothing bundled.

Zero Bundle Impact

No import means no compiled code and no change to your build output.

Shell Template Only

app.html covers every route without touching layouts or hooks.

Deferred Load

Under 50KB, fetched after your content is interactive.

Reads Published Pages

No coupling to load functions, stores or endpoints.

36 Languages

Selected from the visitor’s message with no configuration.

No Fabrication

It answers from your content and admits gaps rather than inventing.

Simple SvelteKit Integration

One tag in app.html covers every route. Nothing enters your dependencies.

  1. 1

    Sign up and copy your snippet

    Create your account, add your site URL so the crawler can read your pages, then copy the snippet.

  2. 2

    Open src/app.html

    Place the tag just before the closing body tag, alongside any analytics you already load there.

  3. 3

    Build and deploy

    The tag ships in the shell; no adapter-specific work is needed.

  4. 4

    Configure in the dashboard

    Tone, rules, documents and appearance are managed outside the repository.

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Why SvelteKit Teams Choose Asyntai

Start free with 100 messages, upgrade as traffic grows

Keeps the Trade-Off You Made

You chose a small-output framework; this does not quietly undo that decision.

No Package to Maintain

Nothing in package.json means nothing to upgrade or audit.

Converts Marketing Routes

Objections answered in the moment convert visitors a static page would lose.

Ready to add an AI assistant to your SvelteKit app?

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Frequently Asked Questions

What SvelteKit developers ask first

How do I add it?
One tag in src/app.html before the closing body tag. Every route inherits it automatically.
Does it increase bundle size?
No. Nothing is imported or compiled; the script is fetched at runtime from our CDN.
Does it interfere with load functions?
No. It runs entirely in the browser and has no interaction with data loading or stores.
Which adapter do I need?
Any of them. The tag lives in the shell template, so adapters make no difference.
Where does its knowledge come from?
Your published pages, crawled on demand, plus uploads for material not on the site.
Can I limit it to certain routes?
The shell applies globally, so for route-specific behaviour most teams add the tag conditionally in a layout instead.
What about Core Web Vitals?
Under 50KB and deferred, so it does not block rendering or shift layout.
What happens at the message limit?
Free covers 100 messages a month, Starter 2,500. Then it pauses until reset or you upgrade.
Can I use it on several projects?
Yes, each with its own knowledge base. Free 1, Starter 2, Standard 3, Pro up to 20.

What an AI Assistant Adds to a SvelteKit App

Output Size Was the Reason

Teams pick SvelteKit because the compiled result is small and fast. Every dependency added afterwards is measured against that decision, and most third-party widgets fail the comparison badly.

A runtime script is not compiled in at all. The bundle you ship stays the bundle you ship, and the assistant is fetched separately, after the page is already useful.

The Shell Is the Right Place for Third Parties

app.html exists precisely so that things which are not part of your component tree have somewhere to live. Analytics goes there; so should this.

That keeps the assistant out of layouts, out of hooks and out of your data flow, which means nothing about it complicates the parts of the app you actually maintain.

Docs Readers Do Not Search Well

A reader with an error message searches for that message. Your docs describe the concept, not the symptom, so search returns nothing and they leave.

Answering conversationally bridges the vocabulary gap, and the recurring questions become a short list of pages worth rewriting.

Frameworks Change, Tags Do Not

Front-end stacks get replaced every few years. Integrations coupled to a framework become migration tasks, and migration tasks are where useful tools get dropped.

A plain tag survives any rewrite. Whatever renders your next site, it keeps working unchanged.

Small Teams Need Zero-Maintenance Tools

Anything requiring periodic attention loses to shipping work. Tools survive in small teams only when they need none.

There is no version to track and no configuration in the repo. Changing behaviour happens in a dashboard, not in a deploy.

Ready to Add Support Without Touching the Bundle?

Start free with 100 messages and keep your output exactly as small as it is.

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