Brand Intelligence API
Turn any website into structured brand intelligence
One API call returns the complete brand behind a URL: products, audiences, positioning, messaging, voice, visual identity, logos, colors, fonts, and more.
GETopengraph.io/api/1.1/brand
/https%3A%2F%2Fasana.com
Brand Intelligence
brand.name“Asana”
brand.tagline“The OS for human-agent teams”
brand.category“Work management and collaboration software”
voice.traits["Clear", "Confident", "Outcome-oriented", "Enterprise-minded", "Helpful", "Action-oriented", "Technically credible"]
voice.technicality0.62
identity.colors
identity.fonts["TWK Lausanne", "haptik", "proxima-nova", "Ghost"]
1B+URLs processed
1,000sof developers
Powering link previews, metadata extraction, screenshots, Markdown conversion, embeds, and URL intelligence workflows at scale.
URL in, brand understanding out
Seven questions, answered from the website
Brand Intelligence researches the site and returns a predictable representation of the brand that another application or model can use immediately.
- 01Who are you?
brand - 02What do you sell?
products - 03Who is it for?
audiences - 04Why should they choose you?
positioning - 05What do you repeatedly say?
messaging - 06How do you sound?
voice - 07What do you look like?
identity, visual
API response
What Brand Intelligence returns
Nine sections in one normalized response, not nine separate APIs. Turn off any section you do not need.
brand
Name, description, category, and tagline.
products
The products and services the brand offers, each with a description and URL.
audiences
Who the brand appears to be speaking to.
positioning
Value proposition, market position, and differentiators.
messaging
Key messages, themes, claims, and the phrases the brand repeats.
voice
Traits, a description, formality, technicality, and energy scores, plus do and avoid guidance.
identity
Logos, icon, colors with roles, and fonts with weights.
visual
Visual style, imagery, and interface style.
links
Website, about page, pricing, brand assets, and social profiles.
Only need logos, colors, and fonts? See the Brand Identity API. Just the logo? See the Company Logo API.
Built for AI
Brand data your models can use directly
Pass Brand Intelligence to your models and agents as context, so your customers never have to research or describe their own brand.
- JSON for applications and structured workflows
- Markdown for clean, direct model context
JSON is the canonical response. Markdown is rendered from the same result.
Giving an LLM or agent brand context? See the Brand Context APIasana.com
OpenGraph Brand Intelligence
AI website builder
AI copywriter
AI sales agent
AI presentation generator
Custom questions
Need something outside the standard schema? Ask for it.
The default schema stays predictable. Custom questions let you request brand intelligence specific to your application, without waiting for a new field.
- Up to three questions per request
- Answer types: string, boolean, number, string[], or object
- Answers come back under
custom, keyed by your names
Request
"questions": [
{
"key": "buying_triggers",
"question": "What situations would make someone likely to buy from this company?",
"type": "string[]"
}
]Response
"custom": {
"buying_triggers": [
"Work is scattered across tools and teams need a shared view of tasks, owners, deadlines, and dependencies.",
"Projects are slipping, blocked, or at risk because progress and status updates are not visible in real time.",
"Teams need to automate repetitive work, coordinate AI agents, or embed AI into existing workflows."
]
}Grounded in the website
More than a homepage sent to a model
OpenGraph finds the pages that matter, analyzes them together, and produces one structured answer.
01
Find the pages that matter
Starting from the URL you send, we pick the pages that describe the brand: homepage, about, products, pricing, customers, editorial, and brand assets. Careers, legal, and login pages are skipped.
02
Analyze and reconcile
Logos, colors, and fonts are read from the homepage markup and stylesheets. Products, positioning, messaging, and voice are analyzed from the text of all the selected pages together.
03
Return one normalized response
Everything lands in a single predictable schema. Ask for provenance and each field also tells you which pages it came from.
Optional provenance with include_meta shows the source pages behind every field and how each one was reached:
observedRead directly from the site, such as links and social profiles.derivedComputed from the homepage markup and styles, such as colors and fonts.inferredWritten by the analysis from the site content, such as positioning and voice.Use cases
Built for products that need to understand a brand
AI content tools
Generate copy that uses the right products, messaging, audience, and voice.
Website builders
Understand visual identity, positioning, messaging, and brand style from a single URL.
Ad and creative tools
Ground generated campaigns in the brand as it actually presents itself.
Sales personalization
Know what a company sells, who it serves, and how it positions itself before the first message.
SaaS onboarding
Fill in company details and personalize the first experience from a domain.
AI agents
Give agents structured context about the company or brand they are working with.
Integration
One endpoint. Useful defaults. Customize only when you need to.
The simplest request is just a URL. Every option below is optional.
curlGET /api/1.1/brand/:url
curl "https://opengraph.io/api/1.1/brand/https%3A%2F%2Fasana.com?app_id=YOUR_API_KEY"With options
curl -X POST "https://opengraph.io/api/1.1/brand/https%3A%2F%2Fasana.com?app_id=YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"format": "markdown",
"sections": { "visual": false },
"include_meta": true
}'format- json (default) or markdown.
sections- Turn off any section you do not need, such as { "visual": false }.
questions- Up to three custom questions, answered under custom.
include_meta- Adds provenance: source pages and a basis for each field.
cache_ok- Set to false in the query string to force a fresh analysis instead of a cached result.
Example response
Same intelligence, two formats
JSON shows the structure your application reads. Markdown shows how easily the same result drops into a prompt.
{
"brand": {
"domain": "asana.com",
"name": "Asana",
"description": "Asana is a work management platform where teams and AI agents coordinate critical workflows on shared plans, with connected context, automation, reporting, and enterprise governance.",
"tagline": "The OS for human-agent teams",
"category": "Work management and collaboration software"
},
"identity": {
"logos": [
{
"url": "https://assets.asana.biz/m/5f083bc48e06e1e2/original/asana-logo-1200x1200.png",
"type": "logo",
"theme": null,
"format": "png"
}
],
"icon": {
"url": "https://brand.asana.biz/image/upload/f_auto:image,fl_preserve_transparency/v1696462484/asana_favicon_194x194.png",
"format": "png"
},
"colors": [
{
"hex": "#690031",
"role": "primary"
},
{
"hex": "#F0D3D9",
"role": "accent"
},
{
"hex": "#6A0085",
"role": null
},
{
"hex": "#222875",
"role": null
},
{
"hex": "#004232",
"role": null
},
{
"hex": "#A82424",
"role": null
}
],
"fonts": [
{
"family": "TWK Lausanne",
"role": "heading",
"weights": [
250,
300,
350,
400,
450,
500,
550
]
},
{
"family": "haptik",
"role": null,
"weights": [
200,
400
]
},
{
"family": "proxima-nova",
"role": null,
"weights": [
400,
600
]
},
{
"family": "Ghost",
"role": null,
"weights": [
500
]
}
]
},
"products": [
{
"name": "Agentic Work Management",
"description": "A platform for people and AI agents to run critical workflows together, including AI Teammates, Asana Dash, AI Studio, and AI Connectors and MCP.",
"url": "https://asana.com/product/ai",
"category": "AI work management"
},
{
"name": "Asana Service Management",
"description": "An AI-native service management platform for IT, HR, facilities, and legal teams.",
"url": "https://asana.com",
"category": "Service management"
},
{
"name": "Asana Client Management",
"description": "An AI-native platform for teams delivering client work, including agencies.",
"url": "https://asana.com",
"category": "Client and agency work management"
},
{
"name": "Command by Asana",
"description": "A work management product for developer teams to ship faster with humans and agents in sync.",
"url": "https://asana.com",
"category": "Developer team work management"
},
{
"name": "StackAI by Asana",
"description": "A no-code platform for creating agentic workflows connected to business applications with enterprise governance.",
"url": "https://asana.com",
"category": "AI workflow automation"
},
{
"name": "AI Teammates",
"description": "Prebuilt AI agents that work alongside teams inside real workflows, with shared memory, governance, and work context.",
"url": "https://asana.com/product/ai",
"category": "AI agents"
},
{
"name": "AI Studio",
"description": "A no-code automation tool for intake, task classification, routing, alerts, and other structured work processes.",
"url": "https://asana.com/product/ai",
"category": "Workflow automation"
},
{
"name": "Asana Dash",
"description": "An AI chief of staff that surfaces next actions and routes work to the appropriate AI Teammate.",
"url": "https://asana.com/product/ai",
"category": "AI productivity assistant"
},
{
"name": "Goals and reporting",
"description": "Capabilities for connecting team work to company objectives and monitoring progress through goals, portfolios, and real-time reporting dashboards.",
"url": "https://asana.com/features/goals-reporting",
"category": "Goals and performance management"
},
{
"name": "Admin and security",
"description": "Administrative, access-control, data protection, compliance, and security capabilities for managing Asana across organizations.",
"url": "https://asana.com/features/admin-security",
"category": "Enterprise administration and security"
}
],
"audiences": [
{
"name": "Cross-functional teams",
"description": "Teams coordinating shared workflows, projects, goals, and dependencies across functions."
},
{
"name": "IT teams",
"description": "IT organizations managing service delivery, enterprise applications, procurement, operations, intake, and approvals."
},
{
"name": "Service teams",
"description": "Teams in IT, HR, facilities, and legal that manage structured service requests and workflows."
},
{
"name": "Developer teams",
"description": "Developer organizations that need to coordinate work and ship faster with humans and AI agents."
},
{
"name": "Marketing and operations teams",
"description": "Teams using AI agents, automation, project management, and reporting to manage cross-functional work."
},
{
"name": "Agencies and client-service teams",
"description": "Agencies and teams delivering work for clients and managing ongoing client relationships."
},
{
"name": "Enterprise organizations",
"description": "Large organizations requiring governance, security, compliance, administration, and scalable work management."
}
],
"positioning": {
"value_proposition": "Asana helps teams and AI agents run critical workflows together from one shared plan, connecting people, tasks, projects, goals, dependencies, and operational context.",
"market_position": "An enterprise-scale work management and agentic work platform for cross-functional teams, with governance, security, integrations, and AI built in.",
"differentiators": [
"Work Graph® connects people, agents, tasks, projects, goals, and dependencies in one shared context.",
"AI Teammates, AI Studio, Asana Dash, and AI Connectors support coordinated human-agent workflows.",
"Enterprise governance includes permissions, approvals, audit trails, usage controls, and centralized administration.",
"Broad integrations connect Asana with existing business systems rather than requiring rip-and-replace.",
"Strong enterprise security, privacy, compliance, and data-residency capabilities."
]
},
"messaging": {
"key_messages": [
"Bring humans and AI agents together on one shared plan.",
"Connect strategy to execution with visible goals, projects, owners, deadlines, and dependencies.",
"Automate routine work while keeping people in control of approvals, exceptions, and decisions.",
"Replace scattered work, stale status updates, and unclear ownership with a coordinated system of record.",
"Scale work confidently with enterprise-grade security, governance, integrations, and reporting."
],
"themes": [
"Human-agent collaboration",
"Shared context and memory",
"Visibility and coordination",
"AI-powered productivity",
"Enterprise governance",
"Security and trust",
"Strategic alignment",
"Automation and scale"
],
"claims": [
"85% of Fortune 100 companies choose Asana.",
"Asana integrates with 270+ apps.",
"Asana’s AI partners do not use customer data to train their models and are required to delete customer data after each query.",
"Asana offers a 99.9% uptime commitment to Enterprise customers.",
"More than 100,000 enterprises trust Asana to keep their data safe."
],
"common_phrases": [
"The OS for human-agent teams",
"Where humans and agents run critical workflows together",
"one shared plan",
"AI that works the way your team works",
"Your AI chief of staff",
"Get your team and your agents working together",
"See the big picture at a glance",
"Keep work moving"
]
},
"voice": {
"traits": [
"Clear",
"Confident",
"Outcome-oriented",
"Enterprise-minded",
"Helpful",
"Action-oriented",
"Technically credible"
],
"description": "Asana communicates in direct, benefit-led language that combines practical workflow outcomes with ambitious AI and enterprise positioning. It emphasizes clarity, speed, visibility, control, and human oversight.",
"formality": 0.65,
"technicality": 0.62,
"energy": 0.72,
"do": [
"Lead with a clear operational benefit.",
"Frame AI as working alongside people, with humans retaining control.",
"Use concrete workflow language such as owners, deadlines, dependencies, approvals, and next actions.",
"Reinforce visibility, alignment, speed, and measurable outcomes.",
"Pair innovation claims with security, governance, and trust assurances.",
"Use concise calls to action such as “Get started,” “Learn more,” and “Explore.”"
],
"avoid": [
"Presenting AI as autonomous without human oversight.",
"Positioning Asana as requiring customers to replace their existing tools.",
"Vague productivity claims without a workflow or business outcome.",
"Ignoring enterprise security, permissions, governance, or compliance concerns."
]
},
"visual": {
"style": "Modern, AI-forward enterprise SaaS with a clear, collaborative, execution-focused feel. The brand emphasizes shared context, connected workflows, visibility, governance, and productivity.",
"imagery": null,
"ui_style": "Structured work-management interfaces centered on shared plans, connected tasks, goals, projects, dependencies, dashboards, reporting charts, portfolios, and governed AI workflows."
},
"links": {
"website": "https://asana.com",
"about": "https://asana.com/company",
"socials": {
"x": "https://x.com/intent/follow?screen_name=asana",
"linkedin": "https://www.linkedin.com/company/asana",
"instagram": "https://www.instagram.com/asana/",
"facebook": "https://www.facebook.com/asana",
"youtube": "https://www.youtube.com/channel/UC2BoogM0AqwOJyoSp1S4ClQ"
},
"brand_assets": null,
"pricing": "https://asana.com/pricing"
}
}Build vs buy
Skip building the brand understanding pipeline yourself
Every step below is work you would otherwise build, tune, and maintain.
Page discoveryContent extractionAsset detectionBrand analysisCross page synthesisSchema normalizationCustom research
We build the brand understanding pipeline so you don’t have to.
FAQ
It is a single endpoint that takes a website URL and returns structured context about the brand behind it: what it is, what it sells, who it is for, how it positions itself, what it says, how it sounds, and what it looks like.
No. The API finds the pages that describe the brand, such as the homepage, about, product, pricing, and customer pages, and analyzes them together. Logos, colors, fonts, and links are read from the site markup rather than generated.
Yes. Set format to markdown and the same result comes back as clean Markdown you can pass straight into a prompt. JSON is the default and the canonical shape; the Markdown is rendered from it.
Add up to three custom questions to a request. Each has a key, a question, and an answer type of string, boolean, number, string[], or object. Answers come back under custom, keyed by the names you chose.
Set include_meta to true. The response then includes the pages that were analyzed and, for each field, its source pages and whether it was observed on the site, derived from it, or inferred.
Yes. A result is cached for seven days, so repeat requests for the same URL and sections come back quickly. Add cache_ok=false to the query string to force a fresh analysis. Requests with custom questions are always analyzed fresh.
Yes. Pass a sections object and set any section to false. Sections set to false are left out of the response.