Google AI Mode Scraper API

Google AI Mode is the new front page of search. Track who gets cited, what answers appear, and how your brand is represented, all delivered as clean JSON your team can act on.

  • Fast and reliable. Async and batch processing included
  • Global reach. Any country, any language, city-level targeting
  • Real browser rendering. Your data matches what real users see
Google AI Mode Scraper API

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Request:

{
""prompt"": ""Explain SEO ranking factors in 2026"", // Required
""engine"": ""google-ai-mode"", // Required
""country"": ""us"", // Optional
}

Response:

{
""timestamp"": ""2026-01-28T12: 54: 34.613Z"",
""traceID"": ""aaa11111-2bbb-1234-a1b2-83f481f038bc"",
""request_duration"": 11.84,
""process_duration"": 11.84,
""scraper"": ""Google-AI-Mode"",
""response"": {
""prompt"": ""what are the leading SEO tips in 2026"",
""text"": ""In 2026, SEO has shifted from purely chasing rankings to building a \""revenue engine\"". Success now depends on providing human-first, expert content that survives AI summarization and adapts to a fragmented search landscape. Search Engine Land +2\n\n1. Master AI-Specific SEO\nTarget Zero-Click Results: Optimize for \""AI Overviews\"" and featured snippets by providing direct, concise answers (40–60 words) immediately below question-based headers.\nConversational Keywords: Shift from \""trophy\"" keywords to long-tail, natural-language queries that users ask AI tools like ChatGPT or Perplexity.\nMultimodal Optimization: Use Schema.org markup to help AI bots understand your videos, images, and audio as interconnected entities.\n\n2. Double Down on E-E-A-T\nShowcase Real Experience: Google now explicitly prioritizes \""Experience\"". Include original data, case studies, and firsthand product reviews to prove you aren't just rehashing AI-generated text.\nBuild Author Authority: Create detailed author bios with professional credentials and links to verifiable social profiles like LinkedIn.\nCite Sources: Use clear citations for all statistical claims to boost the \""Trustworthiness\"" pillar of E-E-A-T.\n\n3. Technical & Performance Foundations\nOptimize Core Web Vitals: Focus on \""Interaction to Next Paint\"" (INP) alongside LCP and CLS to ensure the site feels responsive, not just fast-loading.\nMobile-First Everything: Google predominantly uses the mobile version of your site for indexing; ensuring a seamless touch-friendly experience is non-negotiable.\nStrategic Internal Linking: Use tools like AIOSEO's Link Assistant to build topic clusters, which helps search engines understand your site's depth on a specific niche.\n\n4. Content Strategy for 2026\nTarget \""Zero-Volume\"" Keywords: Don't ignore terms that tools report as having 0 volume; these niche, high-intent queries often lead to the highest conversion rates.\nPrune and Refresh: Regularly audit and \""prune\"" ineffective or outdated content (pre-2023) to prevent it from dragging down your overall domain authority.\nSearch Everywhere Optimization: Recognize that your audience is searching on YouTube, TikTok, and Reddit. Distribute your content across these platforms to build a resilient brand presence.\n\n5. Essential Tools for 2026\nGoogle Search Console: Use it to monitor AI Overview visibility and find \""low-hanging fruit\"" keywords ranking on page two.\nSemrush or Ahrefs: Critical for tracking competitor content gaps and analyzing backlink profiles.\nPageSpeed Insights: The standard for auditing Core Web Vitals and identifying slow-loading elements."",
""citations_found"": true,
""citations"": [
{
""id"": 1,
""url"": ""https://searchengineland.com/seo-priorities-2026-453418#:~:text=What%20to%20do%20right%20now,gaps%20in%20your%20current%20strategy."",
""title"": ""SEO priorities for 2026: Your guide to search success"",
""description"": ""Table of Contents * The evolution of search engines in 2026. * Content strategy and optimization. * Adapting to zero-click searche..."",
""section"": ""citations""
},
{
""id"": 2,
""url"": ""https://www.getpassionfruit.com/blog/mastering-seo-in-2026-top-strategies-for-dominating-search-rankings#:~:text=Create%20High%2DValue%20Content%20That,compared%20to%20constant%20new%20production."",
""title"": ""Top SEO Strategies for 2026 to Drive Real Growth | Passionfruit"",
""description"": ""Mastering SEO in 2026: Top Strategies for Dominating Search Rankings. ... The rules of SEO have fundamentally shifted. What worked..."",
""section"": ""citations""
},
{
""id"": 3,
""url"": ""https://nogood.io/blog/seo-trends-2026/"",
""title"": ""2026 SEO Trends: 8 Things We're Seeing | NoGood"",
""description"": ""What You Should Do. Treat AEO as a dedicated channel within your organic strategy. Identify your top content that aligns with high..."",
""section"": ""citations""
},...
]
}
}

Full Google AI Mode Data, Delivered as Structured JSON

Google AI Mode returns AI-generated answers, cited sources, shopping cards, and local results that no official Google API or rank tracker exposes. The only way to access this data programmatically is through a real browser, and building that pipeline from scratch means managing proxy rotation, anti-bot detection, and constant parser maintenance every time Google updates its UI.

NetNut handles all of that for you. Send any search query to a single endpoint and get back a complete, structured JSON response with everything Google AI Mode returns, ready to plug directly into your SEO, BI, or competitive intelligence workflows.

Your team gets fast, reliable access at any scale, with city-level geo-targeting, multilingual support, and zero infrastructure to manage.

Google AI Mode Scraper API Features

Real Browser Accuracy at Real-Time Speed

Run every request through a real AI interface and receive accurate, human-quality answers within seconds for instant visibility and real-time use cases. Visibility only matters if you’re seeing what real users see.

Full Search Response in One API Call

Receive the entire AI-generated answer as structured JSON: answer text, citations, outbound links, reference URLs, and all entities or items directly surfaced by the AI.

High-Volume, Global AI Visibility

Handle thousands of prompts in parallel while capturing localized results across countries, languages, and real regional user intent.

Easy to Integrate. Care-Free to Maintain.

Get programmatic access to real Google AI Mode output through a fast, stable endpoint with no browser upkeep, no IP issues, and no failed sessions. NetNut does the hard work. You simply plug in and scale.

How Teams Use It

SEO & Search Marketing Platforms

Monitor AI visibility, track ranking shifts, analyze citations, and deliver AI-search reporting alongside traditional SEO metrics.

  • AI share-of-voice
  • Competitor ranking analysis
  • Content opportunity detection
SEO & Search Marketing Platforms

Competitive Intelligence & Market Research

Track how competitors appear in AI answers across markets and queries. Detect new entrants early and understand feature differentiation.

  • Competitor mapping
  • Market share insights
  • Early-signal detection
Competitive Intelligence & Market Research

E-Commerce & Marketplace Brands

See how Google AI Mode recommends products, categories, and brands across regions. Understand which sources influence AI-driven shopping guidance.

  • Product visibility tracking
  • Real-time competitive pricing/positioning checks
  • Localized consumer intent research
E-Commerce & Marketplace Brands

Analytics & BI Platforms

Feed structured Google AI Mode data into dashboards, models, and decision frameworks. Turn AI search into a measurable, trackable performance layer.

  • Trend forecasting
  • Market health scoring
  • Cross-channel correlation analysis
Analytics & BI Platforms

Digital Marketing & Content Teams

Understand how AI models describe your brand, messaging, and category. Identify narrative gaps and shape content strategy accordingly.

  • Brand health monitoring and positioning audits
  • Message consistency checks
  • Category trend analysis
  • Sentiment & message tracking
Digital Marketing & Content Teams

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Google AI Mode is Changing How People Search

Google handles over 8.5 billion searches every day. With AI Mode rolling out globally, a growing share of those searches now return AI-generated answers instead of a traditional list of results. Users get direct recommendations, cited sources, and inline shopping results without clicking a single link.

Brands that understand this shift will adapt faster and capture more demand. The ones that don’t will lose visibility without knowing why. Google AI Mode Scraper API gives your team the data to stay on the right side of that divide.

Ready to start? Choose the plan that works for you.
Google AI Mode is Changing How People Search

Google AI Mode Scraper API Pricing

Unlimited connections for all packages, prices subject to change based on use cases

VAT

Starter

$1.28/1K Results

77K Requests

$99

monthly Order Now
VAT

Production

$1.12/1K Results

445K Requests

$499

monthly Order Now
VAT

Semi-Pro

$0.97/1K Results

1M Requests

$999

monthly Order Now
VAT

Professional

$0.92/1K Results

2.1M Requests

$1999

monthly Order Now
VAT

Master

$0.89/1K Results

4.2M Requests

$3750

monthly Order Now
  

All plans include

  
         
              City/State Selection     
         
              API Access     
         
              IP Whitelist     
         
              Dedicated account manager     
       

Frequently Asked Questions

Discover Answers to Your Burning Questions with Our FAQ Section.

What data does the Google AI Mode Scraper API return?

A complete structured JSON response with everything Google AI Mode shows for a given query: the full AI-generated answer, all cited sources with URLs and snippets, inline shopping cards with prices and product details, local place cards, and inline images. All fields are pre-extracted. No HTML parsing required.

Does the Google AI Mode Scraper API support multiple countries and languages?

Yes. The API supports city-level geo-targeting and multilingual queries across 100+ countries. This matters because AI Mode responses are highly location-sensitive. The same query can return different citations and recommendations depending on where the user is searching from.

How fast does the Google AI Mode Scraper API return results?

Responses typically return in 11-15 seconds. Google AI Mode itself takes time to generate answers since it runs multiple sub-queries in parallel behind the scenes. For high-volume use cases, the API supports async and batch processing so you can run large numbers of queries without waiting on each one sequentially.

Does the Google AI Mode Scraper API stay up to date when Google changes its layout?

Yes, NetNut maintains and updates the parser every time Google changes AI Mode’s structure or output format. Your API calls and JSON schema stay consistent regardless of what Google does on the backend.

Does the Google AI Mode Scraper API capture shopping and local results?

Yes. When a query triggers inline shopping cards or local place cards, the API captures them as structured data, including product names, prices, ratings, review counts, URLs, and business details. These result types are not available through any official Google API.

Is scraping Google AI Mode legal?

Yes. Scraping publicly available web data is legal in most jurisdictions. Google AI Mode results are publicly accessible to any user without authentication, and extracting that data for analysis, research, and business intelligence is a widely accepted practice. NetNut’s infrastructure is built to access data responsibly and at scale.

How much does the Google AI Mode Scraper API cost?

Pricing depends on your query volume and use case. NetNut offers flexible plans for teams of all sizes, from startups running exploratory research to enterprises monitoring thousands of queries daily. Contact the team for a quote or check the pricing page for current plan details.

Is there a free trial for the Google AI Mode Scraper API?

Yes. NetNut offers a free trial so you can test the API with real queries before committing to a plan. No complex setup required — sign up, get your credentials, and send your first request within minutes.

What programming languages does the Google AI Mode Scraper API support?

The API works with any language that can send an HTTP request. NetNut provides ready-to-use code examples in Python, JavaScript, PHP, and cURL so you can integrate quickly regardless of your stack.

How Do I Get Started?

Sign up for a NetNut account, get your API credentials, and send your first request to the LLM Scraper endpoint. The API accepts standard requests with Basic Auth and full documentation is available at help.netnut.io. If you need help with your first integration, the team is available to assist.

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