Perplexity

{
  "prompt": "What are the best CRM tools?",
  "fields": {
    "citations": ["url", "title", "description", "icon", "domain"],
    "sources": ["url", "title", "snippet", "rank", "datePublished"],
    "paragraphs": {
      "text": true,
      "citations": ["url", "title", "description", "icon", "domain"]
    }
  },
  "cache": {
    "enabled": true,
    "ttl": 7200
  }
}

{
  "status": true,
  "data": {
    "text": "Kurze Antwort zuerst: GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
    "markdown": "**Kurze Antwort zuerst:** GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
    "model": "sonar-pro",
    "sources": [
      {
        "url": "https://robertsiegers.com/en/geo-agency-b2b",
        "title": "GEO + LLMO Agency: AI Visibility for B2B Companies",
        "snippet": "GEO, GAIO + LLMO Agency: ✓Visibility in AI models ✓Google AI Mode, ChatGPT, Perplexity ✓50+ B2B clients served ▻Consulting here.",
        "rank": 1,
        "datePublished": null
      },
      {
        "url": "https://www.evergreen.media/generative-engine-optimization/b2b/",
        "title": "LLMO- und GEO-Betreuung für B2B",
        "snippet": "Evergreen Media arbeitet mit führenden B2B-Unternehmen weltweit und macht KI-Sichtbarkeit zum Wachstumstreiber entlang der Buyer Journey.",
        "rank": 2,
        "datePublished": null
      }
      // ... rest
    ],
    "citations": [
      {
        "url": "https://robertsiegers.com/en/geo-agency-b2b",
        "title": "GEO + LLMO Agency: AI Visibility for B2B Companies",
        "description": "GEO, GAIO + LLMO Agency: ✓Visibility in AI models...",
        "icon": "https://www.google.com/s2/favicons?domain=robertsiegers.com&sz=32",
        "domain": "robertsiegers.com",
        "cited": true
      }
      // ... rest
    ],
    "paragraphs": [
      {
        "text": "**Kurze Antwort zuerst:** GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
        "citations": []
      },
      {
        "text": "## Wie GEO/LLMO in die Praxis integrieren",
        "citations": []
      },
      {
        "text": "• Ausrichtung an der Buyer Journey: Definieren Sie zentrale Fragen, Einwände und Use Cases entlang komplexer Buying Centers...",
        "citations": []
      }
      // ... rest
    ]
  },
  "cached": false,
  "cacheExpiresIn": null
}

POST

https://api.evergreens.ai

tedi

networks

browser

perplexity

{
  "prompt": "What are the best CRM tools?",
  "fields": {
    "citations": ["url", "title", "description", "icon", "domain"],
    "sources": ["url", "title", "snippet", "rank", "datePublished"],
    "paragraphs": {
      "text": true,
      "citations": ["url", "title", "description", "icon", "domain"]
    }
  },
  "cache": {
    "enabled": true,
    "ttl": 7200
  }
}

{
  "status": true,
  "data": {
    "text": "Kurze Antwort zuerst: GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
    "markdown": "**Kurze Antwort zuerst:** GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
    "model": "sonar-pro",
    "sources": [
      {
        "url": "https://robertsiegers.com/en/geo-agency-b2b",
        "title": "GEO + LLMO Agency: AI Visibility for B2B Companies",
        "snippet": "GEO, GAIO + LLMO Agency: ✓Visibility in AI models ✓Google AI Mode, ChatGPT, Perplexity ✓50+ B2B clients served ▻Consulting here.",
        "rank": 1,
        "datePublished": null
      },
      {
        "url": "https://www.evergreen.media/generative-engine-optimization/b2b/",
        "title": "LLMO- und GEO-Betreuung für B2B",
        "snippet": "Evergreen Media arbeitet mit führenden B2B-Unternehmen weltweit und macht KI-Sichtbarkeit zum Wachstumstreiber entlang der Buyer Journey.",
        "rank": 2,
        "datePublished": null
      }
      // ... rest
    ],
    "citations": [
      {
        "url": "https://robertsiegers.com/en/geo-agency-b2b",
        "title": "GEO + LLMO Agency: AI Visibility for B2B Companies",
        "description": "GEO, GAIO + LLMO Agency: ✓Visibility in AI models...",
        "icon": "https://www.google.com/s2/favicons?domain=robertsiegers.com&sz=32",
        "domain": "robertsiegers.com",
        "cited": true
      }
      // ... rest
    ],
    "paragraphs": [
      {
        "text": "**Kurze Antwort zuerst:** GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
        "citations": []
      },
      {
        "text": "## Wie GEO/LLMO in die Praxis integrieren",
        "citations": []
      },
      {
        "text": "• Ausrichtung an der Buyer Journey: Definieren Sie zentrale Fragen, Einwände und Use Cases entlang komplexer Buying Centers...",
        "citations": []
      }
      // ... rest
    ]
  },
  "cached": false,
  "cacheExpiresIn": null
}

Entity Reference:

AiSearchEntity

The image below illustrates how the Perplexity response maps to the Perplexity interface:

The highlighted boxes in the image indicate the different response components returned by the API.

UI Element	API Field	Description
🔴 Main Perplexity Response (red bordered area)	`text`	The AI-generated answer text displayed in the main content area, synthesized from real-time web search results.
🟡 Inline Citations (yellow boxes within text)	`citations`	References embedded within the Perplexity response (e.g., “forbes +1”, “techradar”). Each citation links to a source URL with specific referenced text.
🔵 Sources (bottom panel)	`sources`	The list of source websites used to generate the response, including title, URL, and source domain.

The citations array provides granular source attribution for specific claims within the Perplexity response, while sources offers a comprehensive list of all referenced websites with their metadata.

Request

prompt

string

required

The search query or prompt to be sent to the AI search provider.

Minimum length: 1 character
Maximum length: 500 characters

fields

object

Specify which response fields to include. This allows you to optimize the response size by requesting only the data you need.

Show child attributes

fields.citations

array

Array of citation fields to include (e.g., ["url", "title", "description", "icon", "domain"]).

fields.sources

array

Array of source fields to include (e.g., ["url", "title", "snippet", "rank", "datePublished"]).

fields.paragraphs

object

Object specifying paragraph fields to include.

Show child attributes

fields.paragraphs.text

boolean

Whether to include paragraph text.

fields.paragraphs.citations

array

Array of citation fields to include within paragraphs (e.g., ["url", "title", "description", "icon", "domain"]).

cache

object

An optional object to configure caching behavior for the request. By default, caching is enabled with a TTL of 120 seconds. You can customize these settings by providing the cache object.

Show child attributes

enabled

boolean

default:true

A boolean indicating whether caching is enabled for this request. Default is true.

ttl

number

Time-to-live (TTL) for the cache entry in seconds. Default is 120 seconds. Setting a longer TTL can improve performance for repeated requests with the same input, but may result in slightly outdated responses if the underlying data changes frequently.

Minimum TTL	Maximum TTL	Default TTL
120 seconds	86400 seconds	7200 seconds

Response

cached

boolean

default:true

Indicates whether the response was served from cache.

cacheExpiresIn

number

default:7200

The time in seconds until the cached response expires. Default is 7200 seconds (2 hours).

data

object

required

Hide child attributes

text

string

required

The AI-generated plain text response based on the search query.

markdown

string

required

Markdown formatted copy of the text response, allowing for formatted output with bold, italics, links, etc.

model

string

The name of the AI model used to generate the response.

sources

array

An array of source websites used to generate the response.

Hide child attributes

url

string

The URL of the source.

title

string

The title of the source page.

snippet

string

A brief snippet from the source page.

rank

number

The ranking of the source.

datePublished

string

The publication date of the source (ISO 8601 format).

citations

array

An array of citations referenced in the response.

Hide child attributes

url

string

The URL of the cited source.

title

string

The title of the cited source.

description

string

A brief description of the cited source.

icon

string

The favicon URL of the cited source.

domain

string

The domain name of the cited source.

cited

boolean

Whether this citation was directly referenced in the response text.

paragraphs

array

An array of paragraphs that compose the response, each containing its own text and associated citations.

Hide child attributes

text

string

The paragraph text content (may include markdown formatting).

citations

array

An array of citations associated with this paragraph.

Show child attributes

url

string

The URL of the cited source.

title

string

The title of the cited source.

description

string

A brief description of the cited source.

icon

string

The favicon URL of the cited source.

domain

string

The domain name of the cited source.

{
  "prompt": "What are the best CRM tools?",
  "fields": {
    "citations": ["url", "title", "description", "icon", "domain"],
    "sources": ["url", "title", "snippet", "rank", "datePublished"],
    "paragraphs": {
      "text": true,
      "citations": ["url", "title", "description", "icon", "domain"]
    }
  },
  "cache": {
    "enabled": true,
    "ttl": 7200
  }
}

{
  "status": true,
  "data": {
    "text": "Kurze Antwort zuerst: GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
    "markdown": "**Kurze Antwort zuerst:** GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
    "model": "sonar-pro",
    "sources": [
      {
        "url": "https://robertsiegers.com/en/geo-agency-b2b",
        "title": "GEO + LLMO Agency: AI Visibility for B2B Companies",
        "snippet": "GEO, GAIO + LLMO Agency: ✓Visibility in AI models ✓Google AI Mode, ChatGPT, Perplexity ✓50+ B2B clients served ▻Consulting here.",
        "rank": 1,
        "datePublished": null
      },
      {
        "url": "https://www.evergreen.media/generative-engine-optimization/b2b/",
        "title": "LLMO- und GEO-Betreuung für B2B",
        "snippet": "Evergreen Media arbeitet mit führenden B2B-Unternehmen weltweit und macht KI-Sichtbarkeit zum Wachstumstreiber entlang der Buyer Journey.",
        "rank": 2,
        "datePublished": null
      }
      // ... rest
    ],
    "citations": [
      {
        "url": "https://robertsiegers.com/en/geo-agency-b2b",
        "title": "GEO + LLMO Agency: AI Visibility for B2B Companies",
        "description": "GEO, GAIO + LLMO Agency: ✓Visibility in AI models...",
        "icon": "https://www.google.com/s2/favicons?domain=robertsiegers.com&sz=32",
        "domain": "robertsiegers.com",
        "cited": true
      }
      // ... rest
    ],
    "paragraphs": [
      {
        "text": "**Kurze Antwort zuerst:** GEO (Generative Engine Optimization) und LLMO (Large Language Model Optimization) lassen sich systematisch in B2B-Marketing und Sales integrieren...",
        "citations": []
      },
      {
        "text": "## Wie GEO/LLMO in die Praxis integrieren",
        "citations": []
      },
      {
        "text": "• Ausrichtung an der Buyer Journey: Definieren Sie zentrale Fragen, Einwände und Use Cases entlang komplexer Buying Centers...",
        "citations": []
      }
      // ... rest
    ]
  },
  "cached": false,
  "cacheExpiresIn": null
}

Copilot Gemini

Introduction

Account

Chat completions & observations

Tedi Network

Request

Response

Introduction

Account

Chat completions & observations

Tedi Network

​Request

​Response

Request

Response