Gemini powers Google Workspace, Android, and the Pixel ecosystem. Track how Google's AI describes your brand, recommends products, and grounds answers, in clean JSON.
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Request:
EN
RU
CN{
"prompt": "Explain SEO ranking factors in 2026", // Required
"engine": "gemini", // Required
"country": "us", // Optional
"throttling": true // Optional, default true
}
Response:
{
"timestamp": "2026-04-13T14:16:13.543Z",
"traceID": "121da7f7-c8c8-42bc-980e-a1f0a07961e8",
"request_duration": 18.96,
"process_duration": 18.96,
"scraper": "Gemini",
"response": {
"prompt": "what are the leading SEO tips in 2026",
"text": "In 2026, SEO has shifted from \"ranking for keywords\" to \"optimizing for visibility across the AI ecosystem.\" With Google's AI Overviews (formerly SGE) and search assistants like ChatGPT and Claude siphoning up to 60% of clicks for informational queries, the strategy is no longer just about being #1-it's about being the cited source. Here are the leading SEO tips for 2026: Generative Engine Optimization (GEO) Traditional SEO focused on links; GEO focuses on being \"extractable\" for AI. Answer-First Formatting: Lead your articles with a concise, 2-3 sentence direct answer. AI models are more likely to \"lift\" this text for their summaries. Modular Content: Use clear headings ($H1$, $H2$, $H3$), bulleted lists, and tables. AI \"scrapers\" prefer structured data they can easily parse. Schema Markup Everything: Beyond basic organization schema, use FAQ, HowTo, and Product schema to help AI understand the context and relationships of your data. Double Down on E-E-A-T (Experience is King) AI can generate information, but it can't generate experience. Google's 2026 algorithms prioritize the \"First E\": Experience. Proof of Human Effort: Include original photos, case studies, and personal anecdotes. Avoid generic \"stock\" advice that AI can replicate. Verified Authorship: Ensure every piece of content has a robust author bio linked to social profiles (LinkedIn, X) and professional credentials. Citations and Data: Use precise, small-batch data (e.g.\"Our 2026 survey of 150 CEOs found...\") rather than vague generalizations. Build \"Entity\" Authority, Not Just Keywords Google now ranks Entities (Real-world brands, people, and places). Brand Mentions Matter More Than Links: A mention of your brand on a high-authority site (like Reddit, Wikipedia, or a niche news outlet) can be more powerful than a \"no-follow\" link. Topical Clusters: Don't write random blog posts. Build \"Content Hubs\" that cover every possible sub-question of a topic to prove you are the definitive authority on that entity. Optimize for \"Zero-Click\" & Multi-Surface Search Users are searching via Voice, TikTok, and AI Chatbots. Conversational Long-Tails: Optimize for how people talk (e.g.\"What is the best way to...\") rather than how they type (\"best way to...\"). Visual Search: With Google Lens and visual AI, optimize your image ALT text and use high-resolution, original imagery. Local \"Openness\" Signals: For local SEO, Google now prioritizes \"Openness\" (business hours) and specific keywords found within user reviews. Technical SEO: Interaction over Speed While speed is still a baseline, Interaction to Next Paint (INP) is the critical metric in 2026. UX Stability: Eliminate layout shifts and intrusive pop-ups. Engagement Depth: Google tracks if users stay to solve their problem or immediately bounce back to the search results. High \"dwell time\" on a page is a massive ranking signal.",
"text_markdown": "In 2026, SEO has shifted from \"ranking for keywords\" to \"optimizing for visibility across the AI ecosystem.\" With Google's AI Overviews (formerly SGE) and search assistants like ChatGPT and Claude siphoning up to **60% of clicks** for informational queries, the strategy is no longer just about being #1—it's about being the **cited source**.\n\nHere are the leading SEO tips for 2026:\n\n### 1. Generative Engine Optimization (GEO)\nTraditional SEO focused on links; GEO focuses on being \"extractable\" for AI.\n* **Answer-First Formatting:** Lead your articles with a concise, 2-3 sentence direct answer. AI models are more likely to \"lift\" this text for their summaries.\n* **Modular Content:** Use clear headings ($H1$, $H2$, $H3$), bulleted lists, and tables. AI \"scrapers\" prefer structured data they can easily parse.\n* **Schema Markup Everything:** Beyond basic organization schema, use **FAQ**, **HowTo**, and **Product** schema to help AI understand the context and relationships of your data.\n\n### 2. Double Down on E-E-A-T (Experience is King)\nAI can generate information, but it can't generate *experience*. Google's 2026 algorithms prioritize the \"First E\": **Experience**.\n* **Proof of Human Effort:** Include original photos, case studies, and personal anecdotes. Avoid generic \"stock\" advice that AI can replicate.\n* **Verified Authorship:** Ensure every piece of content has a robust author bio linked to social profiles (LinkedIn, X) and professional credentials.\n* **Citations and Data:** Use precise, small-batch data (e.g., \"Our 2026 survey of 150 CEOs found...\") rather than vague generalizations.\n\n### 3. Build \"Entity\" Authority, Not Just Keywords\nGoogle now ranks **Entities** (Real-world brands, people, and places).\n* **Brand Mentions Matter More Than Links:** A mention of your brand on a high-authority site (like Reddit, Wikipedia, or a niche news outlet) can be more powerful than a \"no-follow\" link.\n* **Topical Clusters:** Don't write random blog posts. Build \"Content Hubs\" that cover every possible sub-question of a topic to prove you are the definitive authority on that entity.\n\n### 4. Optimize for \"Zero-Click\" & Multi-Surface Search\nUsers are searching via Voice, TikTok, and AI Chatbots.\n* **Conversational Long-Tails:** Optimize for how people *talk* (e.g., \"What is the best way to...\") rather than how they *type* (\"best way to...\").\n* **Visual Search:** With Google Lens and visual AI, optimize your image ALT text and use high-resolution, original imagery.\n* **Local \"Openness\" Signals:** For local SEO, Google now prioritizes \"Openness\" (business hours) and specific keywords found within user reviews.\n\n### 5. Technical SEO: Interaction over Speed\nWhile speed is still a baseline, **Interaction to Next Paint (INP)** is the critical metric in 2026.\n* **UX Stability:** Eliminate layout shifts and intrusive pop-ups.\n* **Engagement Depth:** Google tracks if users stay to solve their problem or immediately bounce back to the search results. High \"dwell time\" on a page is a massive ranking signal.\n\n---\n\n### Comparison: 2024 vs. 2026 SEO\n| Feature | 2024 Strategy | 2026 Strategy |\n| :--- | :--- | :--- |\n| **Primary Goal** | Clicks to Website | Being the \"Cited Source\" in AI |\n| **Content Type** | SEO-optimized Blog Posts | Expert-led, Multimedia Insights |\n| **Authority** | Backlink Volume | Brand Mentions & Personal Experience |\n| **Success Metric** | Search Volume / Rank | Conversion & AI Visibility Score |",
"citations_found": true,
"citations": [
{
"id": 1,
"url": "https://www.mandr-group.com/the-future-of-seo-how-ai-is-changing-content-strategy-in-2026/",
"title": "The Future of SEO: How AI Is Changing Content Strategy in 2026 - M&R Marketing",
"description": "In 2026, don't just optimize your digital presence to reach the top of Google's results page.",
"section": "citations"
},
{
"id": 2,
"url": "https://thistle.media/how-will-googles-ai-search-sge-reshape-seo-strategies-by-2026/",
"title": "How Will Google's AI Search (SGE) Reshape SEO Strategies by 2026? - Thistle Media",
"description": "This represents a major shift for SEO: visibility is no longer just about ranking first; it's about being referenced, cited, and trusted by AI systems.",
"section": "citations"
},
{
"id": 3,
"url": "https://www.yotpo.com/blog/google-trends-seo-strategy/",
"title": "Google Trends For SEO In 2026: The Velocity Playbook - Yotpo",
"description": "In 2026, optimization involves considering both the human user and the \"Synthesizer\"—the AI model constructing the answer.",
"section": "citations"
}
]
}
}
Gemini sits inside the Google ecosystem in ways no other AI does: it’s the assistant in Workspace, the AI on every new Pixel, and the model behind growing parts of Google Search. Capturing how Gemini answers means going through a real browser session, handling Google’s authentication, anti-bot logic, and frequent UI updates that no official API surfaces in user-facing form.
NetNut handles all of that for you. Send any prompt to a single endpoint and get a complete, structured JSON response with the full Gemini answer (with tables and structure preserved), every cited source, and timing metadata, ready to feed your SEO, brand monitoring, or competitive intelligence workflows.
Your team gets fast, reliable access at any scale, with multilingual prompts, model selection across Gemini variants, and zero session management.
Track how Gemini grounds answers in Search and which domains earn citations. Pair Gemini visibility with traditional SEO and AI Overviews data for a complete Google picture.
See how Gemini recommends products inside the Google ecosystem, where shopping intent is increasingly handled by AI rather than by traditional results.
Gemini shapes how millions of Workspace users research, write, and decide. Track how your brand surfaces in the answers employees actually rely on.
Send prompts in any language and track how Gemini surfaces your brand across markets where Google dominates. Compare visibility between locales from a single API.
Track how Gemini summarizes competitors across markets, surfaces new entrants, and frames category narratives across Google's surfaces.
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We've had a great experience partnering with NetNut. Their service has been exceptional, prompting us to expand our usage. Their team is always ready to address any queries or concerns we may have.
Working with NetNut has been an absolute pleasure from start to finish. The team is incredibly responsive and goes above and beyond to meet our requests. What stands out the most is their ability to adapt to any changes.
NetNut's residential proxy network is impressive, offering access to a large pool of IPs worldwide. Their tailored solutions and dedicated account managers provide valuable support for various data collection projects.
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A large pool of high-quality IPs with excellent customer support that is highly responsive and always ready to assist. The proxies are easy to integrate and use.
After testing several proxy providers in real world conditions, we found NetNut to have the best combination of price and performance.
NetNut proxy is great value for money and their support is responsive and personal. They source residential IPs B2B — alleviating compliance and consent hurdles.
Featured in
Gemini already powers Google Workspace, ships on every new Pixel, drives growing parts of Search, and lives inside Android for billions of users. When Gemini summarizes a category or recommends a vendor, it does so across the largest AI distribution surface on the consumer internet. Brand visibility inside Gemini is no longer optional.
Teams that measure Gemini visibility will adapt their content, product, and SEO faster. The ones that don't will lose ground inside Google's ecosystem without knowing why. Gemini Scraper API gives your team the data to stay competitive.
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Discover Answers to Your Burning Questions with Our FAQ Section.
A complete structured JSON response with everything Gemini shows for a given prompt: the full AI-generated answer with tables and structure preserved, every cited source with URL, title, and a short description, plus timing metadata. All fields are pre-extracted. No HTML parsing required.
Yes. The API supports city-level geo-targeting and multilingual prompts across 100+ countries. This matters because Gemini’s grounding sources, recommendations, and answer style shift significantly by region, especially since Gemini is tightly integrated with localized Google Search results.
Responses typically return in 10 to 20 seconds. Grounded answers take longer because Gemini runs live Google Search behind the scenes. For high-volume use cases the API supports concurrent requests, and you can pass a callback URL so results arrive at your endpoint as soon as each one finishes.
Yes. NetNut maintains and updates the Gemini integration every time Google ships a new model, UI change, or grounding update. Your API calls and JSON schema stay consistent regardless of what Google changes on the backend, so your dashboards and pipelines never break.
Yes. Gemini’s answers often include tables, headers, lists, and hierarchical structure. The API captures all of it. You get the answer in two forms: clean plain text for dashboards and analysis, and rich formatting that preserves the structure Gemini produced. Pick whichever your team needs.
Yes. Scraping publicly available output is legal in most jurisdictions. Gemini answers are publicly accessible to any user, and extracting that data for analysis, brand monitoring, and business intelligence is a widely accepted practice. NetNut’s infrastructure is built to operate within ethical and legal limits.
Pricing depends on your query volume and use case. NetNut offers flexible plans for teams of all sizes, from startups testing prompt strategies to enterprises monitoring tens of thousands of prompts daily. Contact the team for a quote or check the pricing page for current plan details.
Yes. NetNut offers a free trial so you can test the API with real prompts before committing to a plan. No complex setup required — sign up, get your credentials, and send your first request within minutes.
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.
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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