✨ 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 Heroic Knowledge Base: turn search analytics into answers

SleekAI ingests every Heroic Knowledge Base ht_kb article along with the ht_kb_category and ht_kb_tag taxonomies on save, so customers get the article they actually need without poking at the Heroic search box and bouncing through results.

♾️ Lifetime License available

SleekAI chatbot for Heroic Knowledge Base

Heroic KB articles, surfaced in chat

Heroic Knowledge Base stores articles in the ht_kb post type with the ht_kb_category and ht_kb_tag taxonomies. SleekAI reads all of it on save and indexes into OpenAI Files vector storage. When a visitor describes a CSV import error in plain English, the bot pulls the matching troubleshooting article, quotes the relevant fix, and cites the source. Heroic's built-in search remains useful for term lookups; the chat surface handles the full-question case search alone struggles with.

Display conditions and per-bot scoping bind a bot to a section of the KB. Many Heroic customers split their library by product or by audience: a developer KB for API users and a getting-started KB for end users. SleekAI mirrors that with one bot per section, each with its own prompt and welcome copy. The developer bot pulls from technical docs and stays out of onboarding; the onboarding bot focuses on getting-started articles and never throws an API endpoint at a fresh user.

Re-indexing on save keeps the bot's library in lock-step with Heroic. Articles published, edited, or deleted update the vector store within seconds. There is no nightly batch import, no separate sync dashboard, and no chance of a fix lingering unsearchable for a day. The bot answers from whatever Heroic considers current, which is the only sensible behavior for a help-desk surface that sits on top of evolving documentation.

Workflow

How SleekAI ingests Heroic KB articles

1

Connect the post type

Point SleekAI at the ht_kb custom post type and the ht_kb_category and ht_kb_tag taxonomies. The plugin handles vector storage, citation, and re-indexing on save.
2

Scope each bot

Use display conditions to bind a bot to a Heroic KB section, post template, or user role. Developer KBs get a developer bot; onboarding KBs get an onboarding bot.
3

Pick your provider

Bring your own key for OpenAI, Anthropic, Google, or OpenRouter. Vector storage runs on OpenAI Files. Switch inference providers without re-indexing because retrieval and inference are decoupled.
4

Mine the conversation log

Every chat is logged inside SleekAI. Use the log to refine the prompt, identify articles that need clearer titles, and spot topics where the KB simply does not have a doc to cite yet.

Try it now

A typical Heroic Knowledge Base conversation

A returning user troubleshooting an import failure.

Comparison

Generic chatbot vs SleekAI for Heroic Knowledge Base

Generic chatbot

  • Cannot read the ht_kb post type
  • Ignores Heroic's category and tag taxonomies
  • Has no idea what 'CSV Validator' is
  • Cannot follow article updates
  • Forces visitors back to a search box

SleekAI chatbot

  • Reads every Heroic KB article on save
  • Understands category and tag relationships
  • Cites the article it answered from
  • Logs every conversation for review
  • Different bot per KB section

Features

What SleekAI gives you for Heroic Knowledge Base

Better than Heroic search

Heroic's search is fine for terms; SleekAI answers full questions, quotes the article, and links it back so users can verify before acting on the steps.

Display conditions

Bind the right bot per KB section, post template, or user role. Developer bots stay on developer docs; onboarding bots stay on getting-started.

Big libraries supported

OpenAI Files vector storage handles thousands of articles per knowledge base with up to 1GB per file, supporting very large Heroic libraries.

Use cases

Where teams use this for Heroic Knowledge Base

Support deflection

Cuts ticket volume by giving users the answer before they reach the contact form, with citation back to the article so they verify the fix in one click.

Education

Course KBs become tutors. Students describe a stuck-point and the bot pulls the matching lesson, then continues the conversation with the lesson in context.

Marketing

Uses chat logs to spot demand for new articles and product features the existing Heroic KB does not cover yet, feeding the next docs sprint.

The bigger picture

Why search is not enough for support

Heroic Knowledge Base ships with strong search analytics; you can see which queries hit nothing, which pages users land on, and how often they bounce. That data is gold for the docs team. What it does not solve is the moment a user, mid-error, types "my CSV import is failing on row 1200" and gets a results page they have to evaluate one snippet at a time.

They came for an answer, not a triage interface. SleekAI delivers the answer. By reading every ht_kb article and grounding replies in the actual content, the bot does the snippet evaluation for the user and quotes the fix.

The search analytics still tell you what users typed; the bot tells them what to do. For SaaS shops, plugin makers, and software teams running Heroic, this combination is the support trifecta: search for keyword lookups, chat for natural-language problem-solving, and the analytics layer feeding both. The cost of the missing layer is paid in tickets that should never have left the docs site.

Questions

Common questions about SleekAI for Heroic Knowledge Base

No. SleekAI runs its own vector index over the same ht_kb articles, so answers stay current with the live KB without depending on Heroic's search engine. Heroic's search continues to work on the article pages and shows the existing analytics. Think of SleekAI as a parallel surface for natural-language questions, not a replacement for the search box on the KB index.

 

Yes. Citations are on by default and customizable in the bot prompt. The bot quotes the relevant section of the article and links the source so the user can verify the steps. For support deflection that citation matters; users follow the link, see the full context, and trust the fix. Turning citations off is possible but rarely advisable for help-desk use cases.

 

Yes. Exclude them by post status, taxonomy term, or display condition. A draft article never gets indexed; an internal-only article in a private taxonomy can be filtered out of the bot's source list. If you run a public bot and a staff bot, scope each to the appropriate articles and use role-based display conditions to enforce who sees which surface.

 

Yes. WPML, Polylang, and TranslatePress are all supported, and the bot replies in the active language. Translated Heroic articles feed the bot's context per language, so a visitor on the German version gets German answers grounded in the German translations rather than machine-translated English. The multilingual plugin owns the translation; SleekAI owns the bot.

 

Every chat is logged inside SleekAI for review and prompt tuning. The logs become a gap-analysis feed: questions that deflected to a form usually point to missing or unclear articles, and that list goes to the docs team. Logs stay on your WordPress install; the LLM provider only sees the request payload at inference time, not a stored copy of past chats.

 

SleekAI is a one-time WordPress plugin purchase. You bring your own LLM key for usage, so inference and vector storage costs land on your OpenAI, Anthropic, Google, or OpenRouter account directly. That keeps long-term costs predictable; high-volume sites pay for the tokens they actually use rather than a markup baked into a SaaS subscription.

 

Yes, indirectly. Heroic's built-in search analytics continue to work on the KB pages themselves, recording which queries hit nothing and which articles get the most opens. SleekAI adds its own conversation log, which captures full-question chats the search box would never see. Together they paint a complete picture: search analytics for keyword behavior and chat logs for natural-language problem-solving.

 

Yes. Heroic articles often include code blocks for API examples or shell commands, and SleekAI preserves them in the retrieved context and returns them formatted in chat. That matters for developer KBs where a half-quoted snippet is worse than no answer at all. If the article has the exact command, the bot quotes it intact and cites the article it came from.

 

Pricing

More than 1000+
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