Fragmented AI ecosystem
Each model behaves differently, requiring separate tracking for ChatGPT, Gemini, and other AI systems.
Each model behaves differently, requiring separate tracking for ChatGPT, Gemini, and other AI systems.
AI responses aren’t standardized, making it difficult to reliably extract brand mentions, sentiment, and recommendation signals.
Spot-checking prompts or copying AI answers doesn’t scale and fails to capture real trends or competitive movement.
Understanding AI-driven discovery requires consistent access to LLM responses. Our platform enables large-scale monitoring and analysis of generative outputs.

Headless Browser
Run and control a headless browser to interact with AI agents.
Cloud-hosted Chrome & Firefox with unblocking features
Built-in CAPTCHA management & proxy integration
Granular geo-location targeting for localized AI responses
Web Scraper API
Submit prompts and retrieve structured responses from major LLMs.
Dedicated sources: chatgpt, google_ai_mode, perplexity
Parsed JSON output with citations and metadata
Geo-location targeting to test regional AI responses
Web Unblocker
Enable reliable access to protected AI platforms without full browser automation.
Automatic proxy rotation & fingerprint management
JavaScript rendering with browser instructions
Session management for multi-turn AI conversations
Residential Proxies
Access AI platforms from 195+ countries to monitor regional brand visibility.
175M+ ethically sourced IPs worldwide
City, state, ZIP, and coordinate-level targeting
Automatic IP rotation to avoid rate limits
AI Studio (Browser Agent)
Automate AI platform interactions using natural language commands.
Describe tasks in plain English, AI executes them
Multi-step actions: clicking, scrolling, form filling
Returns structured JSON or Markdown output
"We've been using Oxylabs proxies for almost four years now, and honestly, they’ve been rock solid the whole time. The service has been smooth, fast, and incredibly reliable — failures were so rare they were basically a non-issue. [...]"
Oleksii V.
Director of Engineering

Code examples and guidance to support a wide range of use cases.
import requests username = "customer-USER" password = "PASS" proxy = "pr.oxylabs.io:7777" proxies = { 'http': f'http://{username}:{password}@{proxy}', 'https': f'http://{username}:{password}@{proxy}' } response = requests.request( 'GET', 'https://ip.oxylabs.io/location', proxies=proxies, ) print(response.text)
AI development
Access large-scale, real-world web data to train, evaluate, and improve AI models.
Ad verification
View ads as real users across regions to verify delivery & spot inconsistencies.
Price monitoring
Collect real-time pricing data to monitor market changes at scale.
Market research
Monitor market trends and competitors across global websites.
Get visibility into how AI assistants surface your brand – before competitors take the spotlight.
AI brand visibility tracking is the process of monitoring your brand’s presence across AI search, AI engines, and AI answers. This helps businesses monitor not only their brand but also their products and website citations across AI search platforms.
It helps analyze brand mentions, brand sentiment, and overall AI visibility in tools like Google AI Overviews and other search engines. Tracking includes how often a brand shows in AI-driven content and search answers, and in what context the brand and its products are mentioned.
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Proxies
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