Fragmented AI ecosystem
Each model behaves differently, requiring separate tracking for ChatGPT, Gemini, and other AI systems.
Solutions for Brand Visibility in AI Search and LLMs
Understand how your brand and products appear inside AI-generated answers across major LLMs.
Visibility across leading LLMs and AI search engines
Structured insights on mentions, sentiment, and positioning
Continuous monitoring of AI-generated responses
The challenges of monitoring brand presence in LLMs
Unstructured AI outputs
AI responses aren’t standardized, making it difficult to reliably extract brand mentions, sentiment, and recommendation signals.
Manual analysis
Spot-checking prompts or copying AI answers doesn’t scale and fails to capture real trends or competitive movement.
How we power AI-driven discovery
Understanding AI-driven discovery requires consistent access to LLM responses. Our platform enables large-scale monitoring and analysis of generative outputs.
Reliable AI response collection
Collect AI-generated answers across multiple LLM platforms with high success rates.
Structured GEO insights
Extract brand mentions, sentiment, and recommendation signals from raw AI text.
Scalable monitoring workflows
Monitor thousands of prompts and queries over time without manual testing or sampling.
Brand discovery tools & proxy solutions for AI-powered search
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
What our customers say
"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
Solutions that are built to fit your workflow
Code examples and guidance to support a wide range of use cases.
Residential Proxies
Scrollable code block. Use arrow keys to scroll.
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)
More ways to use our solutions
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.
Start monitoring your brand in AI answers
Get visibility into how AI assistants surface your brand – before competitors take the spotlight.
Frequently asked questions
What is AI brand visibility tracking?
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.
Why is AI brand visibility tracking important for businesses?
AI brand visibility tracking helps businesses understand brand performance, brand perception, and how often they appear in AI search results. Key benefits include:
Measure brand performance: track mentions and appearances in AI search results.
Benchmark against competitors: Compare your AI visibility with other brands.
Calculate performance: use the AI Visibility Score formula: (Brand Mentions / Total Answers) x 100.
Strategize with competitive insights: analyze market positioning, share of voice, and plan how your brand can stay visible as users increasingly rely on AI answers.
How can I improve tracking visibility for my brand in AI search engines?
You can track brand visibility in AI search by monitoring AI answers from platforms like ChatGPT, Perplexity, and Google AI Mode:
Collect AI answers at scale using tools like Web Scraper API, Headless Browser, or Web Unblocker.
Track brand mentions and website citations across multiple AI search engines.
Analyze links, pages, and content references in AI-generated answers.
Generate shareable reports summarizing visibility, mentions, and brand presence.
Optimize Generative Engine Optimization (GEO): structure content to be machine-readable and authoritative to increase citations by AI.
How do LLMs like ChatGPT and Gemini affect brand visibility?
LLMs impact brand visibility by generating AI answers that shape brand perception and highlight certain brands over others. Understanding the context and sources of these citations is key for optimizing visibility. Generative Engine Optimization (GEO) focuses on how brands appear in AI-driven search results. GEO auditing tools can reveal on-page factors that limit citations, while platforms like Google AI Mode influence which brands are featured.
What tools are available for AI brand visibility tracking?
An effective AI brand visibility tracking tool or AI brand visibility tracker typically combines data collection and analysis. Solutions like Web Scraper API help gather structured AI answers, while Headless Browser and Web Unblocker ensure access to protected AI engines. These tools support AI brand tracking, competitor tracking, and sentiment analysis, and can be extended with an AI brand monitoring API to measure brand performance across search engines.
What are the common challenges and obstacles in AI brand visibility tracking?
Tracking AI brand visibility is challenging due to limited transparency and constantly evolving algorithms on platforms like Google AI Mode and Gemini. Monitoring brand mentions and sentiment across multiple AI search engines can be difficult, and the volume of data generated is often overwhelming. Traditional brand trackers usually aren’t equipped for this dynamic environment, that’s why businesses need specialized AI visibility tools to extract insights in real time and support effective content optimization strategies, ensuring brands remain visible and competitive.
What are the best practices for optimizing brand visibility in AI search?
To improve brand visibility in AI search, focus on:
High-quality, relevant content that addresses your audience’s needs and interests.
API integrations to collect and analyze data efficiently.
Content optimization to improve the precision of your search presence.
GEO-targeting to tailor strategies to specific regions and track brand mentions across AI search engines.
Competitor benchmarking to compare performance to uncover opportunities for growth.
AI search monitoring to track where and how your brand appears in AI-generated answers.
Predictive analytics to anticipate shifts in brand perception and adjust strategies proactively.
Agility and timely insights to stay adaptable as the AI search landscape evolves.
How does content creation impact AI brand visibility?
Content creation is crucial for AI brand visibility. Producing high-quality, optimized content increases your chances of being featured in AI search results and strengthens your brand’s presence across platforms. Techniques like content optimization and strategic linking can boost conversions and develop a distinctive brand voice. Tailoring content to specific prompts and search topics improves visibility and positions your brand as a thought leader. Using AI visibility tools provides insights into performance, helping refine strategies and expand your brand’s reach across AI search platforms.
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