AI Agents & Web Enrichment

Give AI agents structured brand intelligence from any website

Extract logos, descriptions, colors, and metadata from company websites in clean JSON — ready for LLM function calling, agent tools, and enrichment pipelines.

Get 1000 free credits when you create an account.

Why Brandohue for AI agents

Clean, structured data is what AI agents need — not raw HTML.

Structured Context for LLMs
Feed clean, structured JSON about any company to your LLM. Get website name, description, logo URL, colors, and metadata — ready for AI consumption without raw HTML parsing.
Company Research Automation
AI agents can automatically research companies by extracting brand intelligence from their websites. Build agents that qualify leads, enrich profiles, or analyze competitors.
Enrichment Pipelines
Build data enrichment pipelines where AI agents crawl domains, extract brand data, and populate databases or vector stores for downstream AI applications.
Agent-Ready JSON
Unlike raw scraping which returns messy HTML, Brandohue returns clean, typed JSON with predictable field names — ideal for function calling and tool use in AI frameworks.

AI frameworks & integrations

Brandohue works with any AI framework that can call HTTP APIs.

LangChain / LangGraph
Use Brandohue as a tool in LangChain agents for website research, lead enrichment, and company data extraction.
OpenAI GPT / Assistants
Register Brandohue as a function for GPT assistants. Agents call the API to get structured brand data for any company domain.
Anthropic Claude
Integrate with Claude's tool use to provide structured website brand data for research and analysis tasks.
CrewAI / AutoGen
Multi-agent systems can use Brandohue as a shared tool for company intelligence gathering and competitive analysis.
Custom AI Crawlers
Build your own AI crawler that extracts structured brand data instead of dealing with raw HTML. Brandohue handles the extraction — you get clean JSON.
Vector Databases
Extract brand data and store embeddings in Pinecone, Weaviate, or Qdrant for semantic search over company profiles and brand intelligence.

APIs your AI agents will use

The Brandohue endpoints that power AI enrichment.

Brand Metadata API
Titles, descriptions, OG tags, JSON-LD for LLM context
Logo API
Company logos for visual agent outputs
Color Palette API
Brand colors for themed AI outputs

Frequently Asked Questions

How can AI agents use Brandohue for web enrichment?
AI agents can use Brandohue as a tool/function: when the agent needs information about a company or website, it calls /api/v1/extract with the domain. Brandohue returns structured JSON with the company name, description, logo URL, brand colors, and metadata. The agent consumes this clean data directly — no HTML parsing or web scraping needed.
How is Brandohue better than having an AI agent scrape websites?
Web scraping returns raw HTML that requires heavy parsing, is inconsistent across sites, and breaks when site structures change. Brandohue returns clean, typed JSON with predictable field names. This makes it ideal for AI function calling — the agent gets exactly the structured data it needs without dealing with HTML parsing, JavaScript rendering, or site-specific selectors.
What AI frameworks does Brandohue work with?
Brandohue works with any AI framework that can make HTTP requests. This includes LangChain (as a Tool), OpenAI Assistants (as a Function), Anthropic Claude (tool use), CrewAI, AutoGen, custom agents, and any LLM with function calling capability. Check our docs for code examples.
What brand data do AI agents typically need?
AI agents commonly need: company name (from OG tags or title), company description (for context about what the company does), logo URL (for visual identification), industry signals (from meta data and JSON-LD), social profile links, and brand colors. Brandohue provides all of this in a single API call.
Can I use Brandohue to build a company knowledge base for RAG?
Yes. Extract brand data from thousands of company domains, store the structured JSON in a database, generate embeddings, and use them in a RAG (Retrieval-Augmented Generation) system. Brandohue provides the clean extraction layer — you build the knowledge base and retrieval on top.
How fast is the API for real-time agent use?
Most extractions complete in under 3 seconds. For agent use cases where latency matters, enable caching (useCache: true) to get near-instant responses for previously extracted domains. Cached responses also cost 0 credits, making it cost-effective for high-frequency agent calls.
Does Brandohue handle JavaScript-rendered pages for AI crawlers?
Yes. Brandohue renders pages with a headless browser before extraction, so JavaScript-heavy SPAs (React, Vue, Angular) are fully supported. Your AI agent gets metadata from the rendered page, not just the raw HTML source — critical for modern websites.
Ready to get started?
Create a free account and get 1000 credits to start extracting brand intelligence from any website.