✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

AI chatbot for BetterDocs: turn your knowledge base into a 24/7 answer engine

SleekAI indexes every BetterDocs docs post, doc_category, doc_tag, and FAQ block on save so the chatbot answers from the real article and cites it back, instead of fabricating steps the user will discover are wrong two clicks later.

♾️ Lifetime License available

SleekAI chatbot for BetterDocs

Your BetterDocs articles, finally searchable in plain English

BetterDocs stores articles in the docs custom post type with the doc_category and doc_tag taxonomies, plus FAQ blocks living inside article content. SleekAI reads all of it on save and pushes the changes to OpenAI Files vector storage. The bot's reply is grounded in your published article, not a memory from training data, and a citation links back to the exact doc so users can verify the steps before trusting them.

Display conditions and per-bot scoping let you bind one bot to a single doc_category, which means a setup-only assistant on getting-started articles never tries to answer billing questions, and a billing-only bot on the pricing docs never invents a setup step. That separation matters when your knowledge base spans onboarding, security, and account management; one bot pretending to know all three usually means none of the answers are great.

Indexing is automatic. New BetterDocs articles, edits to existing ones, and deletions all flow into the vector store on save. There is no nightly batch import to break, no separate dashboard to remember. When a support engineer ships a new troubleshooting doc at 2pm, the bot answers from it at 2:01pm, with the same wording the agent would link in a ticket.

Workflow

How SleekAI ingests your BetterDocs library

1

Connect the doc post type

Point SleekAI at the BetterDocs docs custom post type, plus the doc_category and doc_tag taxonomies. The plugin handles vector storage, citation, and re-indexing automatically.
2

Scope each bot

Use display conditions to bind a setup bot to getting-started categories and a billing bot to pricing docs. Different audiences get different prompts and different welcome copy.
3

Bring your own key

Pick OpenAI, Anthropic, Google, or OpenRouter for inference, and use OpenAI Files vector storage for retrieval. Your billing, your data residency, your model preferences.
4

Watch the gap analysis

Conversation logging shows which questions the bot deflects to a contact form. Those gaps are usually missing articles, so the support team turns them into new BetterDocs entries that the bot reindexes on save.

Try it now

A typical BetterDocs conversation

A new user trying to set up two-factor authentication using only the docs.

Comparison

Generic chatbot vs SleekAI for BetterDocs

Generic chatbot

  • Has no idea your BetterDocs articles exist
  • Cannot read the doc_category taxonomy
  • Ignores FAQ blocks inside articles
  • Fabricates steps when the answer is unknown
  • No way to scope replies to a single category

SleekAI chatbot

  • Indexes every docs post and revision automatically
  • Reads doc_category and doc_tag for scoping
  • Pulls FAQ blocks straight from article content
  • Cites the exact article it pulled from
  • Show different bots for different doc categories

Features

What SleekAI gives you for BetterDocs

Reads every doc

Posts, revisions, doc_category, doc_tag, and FAQ blocks all flow into the prompt context with no separate import or nightly batch job.

28+ display conditions

Show a setup bot on getting-started categories and a billing bot on pricing docs, with conditions on category, role, post template, and login state.

Vector DB for big libraries

OpenAI Files vector storage holds up to 1GB per file, so even five-thousand-article BetterDocs knowledge bases stay searchable in one bot.

Use cases

Where teams use this for BetterDocs

Support teams

Deflects tickets by answering from the same docs an agent would link, with the article cited so users verify before acting on a step.

Onboarding

New users get walk-throughs straight from the getting-started doc_category instead of digging through a category tree to find them.

Product marketing

Spots which docs people ask about most via conversation logs and reveals coverage gaps the BetterDocs library should fill next.

The bigger picture

Why grounded answers beat clever ones

Generic chatbots feel impressive on a demo and fall apart in production. They answer two-factor questions with steps from a different product, point users to a Settings menu that does not exist, or confidently describe a feature you removed last quarter. The user spends ten minutes following bad instructions, fails, and writes the support ticket they were trying to avoid.

BetterDocs already has the right answer published. The job of a docs chatbot is to surface it cleanly, not to reword it from memory. SleekAI grounds every reply in your actual articles, then cites the source so the user can verify the steps in two clicks.

For SaaS, plugin shops, and product teams running their help center on BetterDocs, this is the difference between a bot that earns deflection and a bot that erodes trust. Documentation is your most expensive content asset; a chatbot that ignores it and hallucinates instead is the worst possible use of it.

Questions

Common questions about SleekAI for BetterDocs

No. It reads the BetterDocs docs custom post type directly from WordPress, including the doc_category and doc_tag taxonomies. There is no CSV upload, no scheduled sync, and no separate dashboard. Articles, revisions, and FAQ blocks flow into vector storage on save, so the bot answers from your live library at all times.

 

Yes. Updates re-index on save so the bot answers from the current revision. Deletes drop the article from the vector store. If you publish a fix at 2pm, the bot is using the corrected content by 2:01pm. There is no manual re-import step, which is what makes a help-center bot worth running long-term rather than just at launch.

 

Yes. Display conditions and per-bot scoping let you bind a bot to a specific doc_category. A getting-started bot on /docs/setup/ never tries to answer billing questions, and a billing bot on /docs/pricing/ never invents a setup step. You can also combine category scoping with role and login state for finer control over who sees what.

 

Bring your own key for OpenAI, Anthropic, Google, or OpenRouter. SleekAI handles routing the request, attaches the retrieved doc context, and forwards to whichever model you pick. Vector storage runs on OpenAI Files. Mixing providers is fine, so a small team can use a fast, cheap model for chat and a stronger model for harder questions through routing rules.

 

Hundreds of thousands of words fit through OpenAI Files vector storage with up to 1GB per file. That comfortably covers most BetterDocs libraries up to several thousand articles. For larger sets, multibot lets you split by doc_category across several files. Practical retrieval quality usually matters more than raw size, so monitor citation accuracy as the library grows.

 

Yes. The bot can include the doc title and link in every answer, with citation behavior tunable through the prompt. Citations are essential for help-center deflection because they let users verify steps before trying them, which catches the rare bad reply before it becomes a support ticket. Disable citations only when you have a strong reason; defaults are on for good reason.

 

The bot falls back to the prompt's escalation path, which usually means linking to a contact form or live agent. SleekAI is grounded retrieval, not creative writing; if no relevant doc retrieves, it should not invent steps. The conversation log captures these moments, and that list is the cleanest gap-analysis your docs team will get for free.

 

Yes. They serve different needs. BetterDocs's instant answer search is excellent for users who already know the article title, while SleekAI handles full-question, conversational queries where the user describes a problem in their own words. Run both. Search owns navigation, the chatbot owns conversation, and visitors pick whichever feels right for the question they are trying to answer.

 

Pricing

More than 1000+
happy customers

Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.

Starter

€79

EUR

per year

  • 3 websites
  • 1 year of updates
  • 1 year of support

Pro

€149

EUR

per year

  • Unlimited websites
  • 1 year of updates
  • 1 year of support

Lifetime ♾️

Most popular

€249

EUR

once

  • Unlimited websites
  • Lifetime updates
  • Lifetime support

...or get the Bundle Deal
and save €250 🎁

The Bundle (unlimited sites)

Pay once, own it forever

Elevate your WordPress site with our exclusive plugin bundle that includes all of our premium plugins in one package. Enjoy lifetime updates and lifetime support. Save significantly compared to buying plugins individually.

What’s included

  • SleekAI

  • SleekByte

  • SleekMotion

  • SleekPixel

  • SleekRank

  • SleekView