Prompt

What should I use for a docs portal with AI search?

Technology / Documentation Tools1 observationLast seen Oct 10, 2026

Latest observation

Oct 10, 2026OpenAI APIWeb search: off

If you want a docs portal with AI search, the best choice depends on whether you want something fast to launch, highly customizable, or enterprise-grade.

Good options by use case

1. Docusaurus + AI search plugin

Best if you want:

  • open-source
  • strong docs structure
  • easy markdown workflow
  • low cost

Add-ons for AI search:

  • Algolia AI/semantic search
  • custom embeddings + vector DB
  • third-party search widgets

Best for: developer docs, product docs, OSS projects.


2. Mintlify

Best if you want:

  • polished docs portal out of the box
  • built-in search and AI features
  • strong DX and quick setup
  • modern API docs look

Best for: startups, API/documentation sites, teams that want speed over customization.


3. ReadMe

Best if you want:

  • hosted docs portal
  • API reference + guides
  • interactive docs
  • good search and analytics

Best for: API-first products and customer-facing docs.


4. GitBook

Best if you want:

  • simple collaborative docs
  • hosted SaaS
  • decent search
  • easy publishing

AI search may require integrating external AI features depending on plan/capabilities.

Best for: internal docs, lighter-weight public docs.


5. Docs portal on Next.js / custom site + AI search

Best if you want:

  • full control over UX
  • custom AI assistant
  • custom retrieval and citations
  • integration with your product/auth system

Typical stack:

  • Next.js
  • markdown/MDX or CMS
  • vector DB: Pinecone, Weaviate, pgvector, Supabase Vector, or OpenSearch
  • LLM/search layer: OpenAI, Anthropic, Azure OpenAI
  • search orchestration: LlamaIndex / LangChain / custom RAG
  • optional keyword search: Algolia / Meilisearch

Best for: enterprise docs, internal knowledge bases, complex permissioning.


My practical recommendation

  • If you want fastest good-looking launch: Mintlify
  • If you want open-source and flexible: Docusaurus + AI search
  • If you want customer-facing API docs with analytics: ReadMe
  • If you want full control and custom AI experience: Next.js custom portal

Important thing to consider for AI search

AI search works best when you also have:

  • good chunking of docs
  • strong metadata
  • citations/source links
  • access control filtering
  • hybrid search: keyword + semantic + reranking

If you tell me these 4 things, I can recommend a specific stack:

  1. Public docs or internal docs?
  2. Markdown-based or CMS-based?
  3. Need authentication/permissioning?
  4. Want hosted SaaS or self-hosted/open-source?

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

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