AI Responses Live Prompt Test & Citation API: AI Large Language Models

Execute live prompt tests across frontier LLMs (ChatGPT GPT-5, Claude Sonnet 4.5, Gemini 2.5 Pro, Sonar) with web search grounding and citation extraction.

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Overview

About this model

AI Responses executes live prompts through DataForSEO to top frontier LLMs (GPT-5, Claude Sonnet 4.5, Gemini 2.5 Pro, and Perplexity Sonar Reasoning Pro) with optional real-time web search grounding, returning the full answer text, token count, and extracted citation links.

1Test live prompt answers and brand citation presence across multiple frontier LLMs
2Verify whether AI answers cite your target website with web search enabled
3Benchmark answers between ChatGPT, Claude, Gemini, and Perplexity
4Extract structured citation URLs, titles, and snippets from generated AI text
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Pricing & Value

Cost analysis

muapiappFrom $0.0250 per live prompt test

Includes model generation fee and optional web search cost with dynamic reconciliation.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Promptstring

Prompt or query to test against the target AI model.

Default ValueWhat are the top generative AI platforms in 2026?
ModelEnum (4 options)

Target frontier AI model to run the prompt test against.

Default Valuegpt-5
Enable Web Searchboolean

Enable live web search grounding during answer generation.

Default Valuefalse
Max Output Tokensinteger

Maximum tokens in generated response (2000-4000; the underlying provider rejects lower values).

Default Value2000
Search CountryEnum (213 options)

Optional country targeting for web search results.

Default Value-
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Implementation Guide

Developer documentation

How to Use AI Responses Live Prompt Test

  1. Write a prompt: Enter search prompt or query.
  2. Choose frontier model: Select gpt-5, claude-sonnet-4-5, gemini-2.5-pro, or sonar-reasoning-pro.
  3. Enable web search: Set web_search: true for live search grounding.
  4. Set max tokens: Limit output length (100-4000).
curl -X POST https://api.muapi.ai/api/v1/seo-ai-response \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "What are the best generative AI platforms in 2026?",
    "model": "gpt-5",
    "web_search": true,
    "max_tokens": 1000
  }'

Common Questions

Frequently asked

Which models can I query?

`gpt-5` (OpenAI ChatGPT), `claude-sonnet-4-5` (Anthropic Claude), `gemini-2.5-pro` (Google Gemini), and `sonar-reasoning-pro` (Perplexity Sonar).

How are citations extracted?

When web search is enabled, the API parses model annotations and returns structured citation objects containing title, URL, domain, and snippet.