Since the beginning of this year, many companies’ SEO strategies have undergone fundamental changes.
More and more users no longer open Google search when they need information. Instead, they ask about products, services, and brands directly in ChatGPT, Claude, or Gemini.
This means: Your visibility in ChatGPT is becoming the new benchmark for brand competitiveness.
The problem is — ChatGPT has no "ranking" feature and no "keyword analysis tool."
You simply cannot know:
Is my brand appearing in ChatGPT’s answers?
Does ChatGPT recommend my competitors?
Are the answers different across countries or languages?
To address these questions, the first step is:
👉 Perform bulk queries of ChatGPT responses to gather data and extract actionable insights
What is GEO?
Generative Engine Optimization (GEO) is the practice of creating and optimizing content so that it appears in AI-generated answers on platforms like Google AI Overviews, AI Mode, ChatGPT, and Perplexity.
In the past, success meant ranking high on search engine result pages (SERPs). Looking forward, there may no longer even be a concept of “top ranking.” Instead, you need to be the preferred recommendation—the solution AI tools actively choose to present in their answers.
The core objectives of GEO optimization are no longer limited to clicks but focus on three key metrics:
Brand visibility: Increase the probability of your brand appearing in AI-generated answers.
Source authority: Ensure your domain, content, or data is selected as a trusted reference by the AI.
Narrative consistency and positive positioning: Make sure AI describes your brand professionally, accurately, and positively.
This means traditional SEO logic based on "keyword ranking" is gradually giving way to AI source citation mechanisms.
Brands must evolve from being "searchable" to being trusted, cited, and actively recommended.
Why Automate Bulk ChatGPT Queries?
From a marketing and SEO perspective, ChatGPT has become a new channel for content discovery and exposure.
However, there are three main pain points:
No visibility into brand coverage
Companies cannot know if their products are being indexed, mentioned, or recommended by ChatGPT. Without data, it’s impossible to create targeted content optimization or distribution strategies.
Lack of GEO-level insights
ChatGPT’s answers vary depending on region, language, and even time zone. A product recommended for a U.S. user might not appear for a Japanese user. For international strategies, companies must understand these differences.
Traditional SEO tools cannot provide this data
Existing SEO tools (e.g., Ahrefs, Semrush) have limited capabilities and cannot fully track ChatGPT responses. This means a new approach is required to monitor brand exposure within AI search channels.
Therefore, the core goal of bulk querying ChatGPT is to systematically collect, analyze, and optimize your brand’s presence in ChatGPT responses. This helps companies:
Identify high-potential questions already mentioned by ChatGPT;
Discover content gaps that have not been covered;
Develop targeted GEO optimization strategies.
Why Choose Scrapeless Cloud Browser?
Many might consider directly calling the OpenAI API to perform bulk queries.
However, in practice, the API approach has obvious limitations:
Results are easily influenced by historical preferences and context, making them less objective.
It’s difficult to quickly switch IPs to simulate access from different geographic locations.
Bulk querying costs are very high (charged by token, becoming expensive at scale).
Scrapeless Browser is a cloud browser designed for data extraction and automation tasks. It allows you to access ChatGPT from the cloud in a way that closely mimics real user behavior, delivering more accurate and comprehensive results.
Compared with traditional API calls, Scrapeless Cloud Browser stands out in several ways:
No account preference interference
All queries are executed in isolated, login-free browser environments, ensuring objective and reliable results.
Multi-region GEO simulation
Built-in residential proxies from 195+ countries, static ISPs, and unlimited IPs allow easy simulation of users from different locations.
High concurrency and low cost
Supports 1,000+ concurrent instances per task, billed by time, with costs far lower than traditional APIs.
Native compatibility with mainstream frameworks
Migrate existing Puppeteer or Playwright projects with a single line of code—no extra adaptation required.
Smart anti-detection and visual debugging
Built-in handling for Cloudflare, reCAPTCHA, and other protections, with support for Live View debugging and session recording.
In short, Scrapeless Cloud Browser enables you to perform bulk “user-perspective ChatGPT queries” efficiently, cost-effectively, and accurately—without registering hundreds of ChatGPT accounts—and automatically extract structured results.
Example: Batch querying ChatGPT using Scrapeless Browser
Scrapeless Browser is a cloud-based headless browser service compatible with major automation frameworks such as Puppeteer and Playwright. Using it, you don't need to maintain a local browser, proxy, or node; you can start it with just one line of connection code.
Automates interactions on real web pages (typing, clicking, submitting).
Captures dynamically rendered content.
Results match what a real user would see when visiting ChatGPT.
4. Support for Multiple Types of Search Result Extraction
4.1 Extract ChatGPT Text Responses
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let gptAnswer: string;
gptAnswer = await waitForChatGPTResponse(page);
4.2 Extract Image Cards
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let gptImageCards: ChatgptResponse['image_cards'] = [];
// Use selectors to extract images and build { url, position }
4.3 Extract Recommended Products
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const gptRecommendProducts: ChatgptResponse['products'] = [];
// Use selectors to extract product links, titles, and images
4.4 Extract Citations/References
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let gptCitations: ChatgptResponse['citations'] = [];
// Use footnote buttons to extract citation links, icons, titles, and descriptions
4.5 Extract Attached Links
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let gptLinksAttached: ChatgptResponse['links_attached'] = [];
// Use Markdown link selectors to extract links and their text
4.6 Extract Page Body HTML
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const body = await page.evaluate(() => document.body.innerHTML);
const cleanBody = body
.replace(/<script[^>]*>[\s\S]*?<\/script>/gi, '')
.replace(/<style[^>]*>[\s\S]*?<\/style>/gi, '')
.replace(/\s+/g, ' ')
.trim();
Here, HTML cleaning is performed: <script>, <style>, <svg>, <img> tags are removed to obtain a clean body content.
💡 Scrapeless Advantage #3: Multi-Type Result Extraction
A single request can fetch multiple types of structured information, without the need for multiple calls or combining different tools.
Not only text, but also images, products, citations, attached links, and clean HTML can be extracted.
Each type of data is packaged as an array of objects (e.g., ChatgptResponse['products']), making it easy to output directly to JSON, CSV, or Webhooks, and supporting downstream automation workflows.
5. Independent Browser Contexts & Sessions
5.1 Session-Level Isolation
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const { session_name, task_id, ... } = input;
browser = await this.connectToBrowser({
session_name, // Each task can specify a different session name
session_ttl: 600, // Session lifetime
session_recording,
proxy_url,
// ...
});
Using the session_name parameter, different queries can use separate browser sessions, achieving session-level isolation.
5.2 Browser Instance Isolation
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async solver(input: QueryChatgptRequest, ...): Promise<BaseOutput> {
let browser: Browser;
try {
// Create a new browser connection for each call
browser = await this.connectToBrowser(...);
const page = await browser.newPage();
// Execute tasks
} finally {
// Close browser after the task is done
await page.close();
await browser.close();
}
}
Each solver() call will:
Create an independent browser instance
Automatically clean up after use in the finally block
5.3 Proxy Isolation
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const { proxy_url } = input;
browser = await this.connectToBrowser({
proxy_url, // Each task can use a different proxy
// ...
});
const proxy_country = /-country_([A-Z]{2,3})/.exec(proxy_url)?.[1] || 'ANY';
Different tasks can achieve network-level isolation using different proxy_url values.
Automatic Country IP Selection
The country code is parsed from proxy_url (e.g., -country_US, -country_JP), and Scrapeless automatically routes requests to residential IPs in the corresponding region.
No Proxy Pool Maintenance Required
Backend automatically manages global nodes, so users don’t need to set up or update proxy lists themselves.
Localized Browser Environment fingerprint.localization.timezone can set the timezone. Combined with independent sessions, it simulates the target region’s environment, affecting content display and region-specific search results.
Obtain Real Localized Results
Returned ChatgptResponse.country_code indicates the request’s geographic location, making international SEO, brand monitoring, or region-sensitive content analysis more accurate.
7. Extract Results and Support Multiple Output Formats
7.1 Structured Output
In the startChat method, the captured data is encapsulated into a unified ChatgptResponse object:
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resolve({
prompt,
success: true,
answer: answerResponse, // text / html / raw
country_code: proxy_country, // geo info
citations: gptCitations,
links_attached: gptLinksAttached,
image_cards: gptImageCards,
products: gptRecommendProducts,
url: _url,
});
💡 Scrapeless Advantage #6: Structured Output
Each query task generates a structured object.
Includes fields such as text answer, attached links, images, recommended products, citations, country code, and URL.
Structured objects can be directly used for automation, without additional parsing.
7.2 Multiple Output Methods
In the solver method, results can be pushed or returned:
gap = F2-E2 (F column is competitor occurrence count, E column is brandCount)
👉 Conclusion: Currently, no one has “claimed this topic,” so you can immediately write an article like “What is ABCProxy?” to capture the answer space.
Tips: After running 100 queries in batch next time, sort by gap descending → top 20 results become priority content ideas.
With Scrapeless Cloud Browser, you can automate ChatGPT queries to achieve cross-country, cross-timezone GEO optimization and easily obtain localized, precise search results. Whether for international SEO, brand monitoring, or market insight analysis, Scrapeless helps you quickly build an efficient, stable, and scalable automated query system.
Scrapeless not only provides browser automation for GEO data, but also offers advanced tools and data strategies to fully control AI citation mechanisms. Contact us to unlock a complete GEO data solution!
Looking ahead, Scrapeless will continue to focus on cloud browser technology, providing enterprises with high-performance data extraction, automation workflows, and AI agent infrastructure support. Serving industries such as finance, retail, e-commerce, SEO, and marketing, Scrapeless delivers customized, scenario-driven solutions to help businesses stay ahead in the era of intelligent data.
Scrapeless Browser is more than just an automation tool — it is:
A scalable “AI search ecosystem data collection infrastructure”
Enabling you to truly quantify ChatGPT brand visibility, keyword coverage, and content trends.
At Scrapeless, we only access publicly available data while strictly complying with applicable laws, regulations, and website privacy policies. The content in this blog is for demonstration purposes only and does not involve any illegal or infringing activities. We make no guarantees and disclaim all liability for the use of information from this blog or third-party links. Before engaging in any scraping activities, consult your legal advisor and review the target website's terms of service or obtain the necessary permissions.