Trusted by teams building for the AI-first era
Join our beta — be among the first brands to own your AI visibility.
AI-Netra is the GEO & AEO intelligence platform that shows exactly how AI search engines perceive your brand — and guides you from invisible to indispensable.
Enter your website, Instagram handle, or LinkedIn URL. Get an instant GEO score — no login required.
A four-stage intelligence loop that continuously improves your brand's presence across every AI-powered search engine.
AI-Netra deep-scans your website and brand across 7+ AI engines. We score your citation rate, authority signal, brand sentiment, and content alignment — generating a complete GEO/AEO health report.
AI-Netra identifies the exact queries where AI models reference your competitors but not you. Prioritised by volume, intent, and competitive gap — so you know exactly where to act first.
AI-Netra generates precise, actionable recommendations — from schema markup and content structure to authority signals and FAQ optimization. Implement changes guided by AI-specific criteria, not guesswork.
Track how your targeted queries perform across AI engines over time. AI-Netra's LLM monitoring alerts you to changes in citation rate, sentiment shifts, and competitor movements — in real time.
Everything your team needs to win AI search — built into one unified platform.
Score your brand across every AI engine with 12+ visibility metrics. Understand exactly where you rank, why, and what it takes to move up.
Discover high-value queries where competitors get cited but you don't. Prioritised by search volume, intent, and your competitive gap.
Continuous surveillance of how AI models respond to queries about your brand, products, and category — with real-time alerts on changes.
Test any prompt across Claude, GPT-4, Gemini, Grok, Perplexity simultaneously. Compare tone, citations, and accuracy side-by-side.
High-level AI visibility trends and LLM usage metrics for decision-makers. Track ROI, team usage, and improvement velocity.
Share GEO reports, prompt sessions, and query intelligence with teammates and clients via secure links.
See exactly how Netra fits your role — with the journey, tools used, and results achieved.
AI models weren't citing Priya's brand not because of content quality — but because her site lacked structured FAQ markup. One schema fix. Cited in 11 new queries within a week.
Running the GEO report live during a sales call — for the prospect's own domain — was more convincing than any slide deck. The data spoke. The deal closed on the spot.
Karan's niche had daily AI search volume he couldn't see. Filling just three content gaps got his first citation in 10 days. The VC no longer asks why AI doesn't mention them.
AI-Netra was built with a single conviction: as AI search engines become the primary way people discover information, brands that can't be found by AI will become invisible.
We built the intelligence layer that closes that gap — combining multi-model playground, GEO/AEO analysis, query intelligence, and real-time monitoring into one unified platform.
Everything you need to know about GEO, AEO, and improving your brand's presence across AI search engines.
Authoritative definitions for every term in AI search optimization. Bookmark this as your reference.
The practice of optimizing digital content and brand signals so that generative AI engines — including ChatGPT, Gemini, Perplexity, Claude, and Copilot — cite, reference, or recommend your brand in their responses. GEO goes beyond traditional SEO by targeting AI-generated answers rather than ranked search results.
AEO focuses on structuring content so that AI answer engines and voice assistants can extract and present it as a direct answer. Key techniques include FAQ schema markup, structured Q&A formatting, and conversational natural language content that matches how users ask questions.
The percentage of AI-generated responses to relevant queries that include a mention, reference, or recommendation of your brand. Citation rate is the primary KPI for GEO — the higher it is, the more visible your brand is across AI search platforms. AI-Netra tracks citation rate per query cluster across all major AI engines.
A composite score measuring how well a brand's content and signals are represented within Large Language Model (LLM) training data and retrieval systems. High LLM visibility means the model "knows" who you are and what you offer — making citation far more likely across all platforms.
A 0–100 composite metric that aggregates multiple AI visibility signals — including structured data quality, content authority, entity recognition, topical coverage, and E-E-A-T — to give a single measure of how citation-ready a domain is across generative AI platforms. A score above 80 is considered strong.
The process of identifying specific questions or search queries where AI engines respond without citing your brand — despite your relevance to the topic. Query gaps represent your highest-priority content opportunities. AI-Netra's platform surfaces these automatically across ChatGPT, Gemini, Perplexity, Claude, and Copilot.
Google's quality framework — now adopted by AI engines — for evaluating whether content comes from a credible, expert source. Strong E-E-A-T signals include named author profiles with credentials, original research, real case studies with measurable outcomes, and third-party citations. AI-Netra measures your E-E-A-T score as part of every GEO audit.
The practice of simultaneously tracking brand mentions, sentiment, and citation rates across multiple AI language models — rather than optimizing for a single platform. Because each LLM uses different training data, retrieval methods, and citation logic, multi-LLM monitoring is essential for a complete picture of your AI search presence.
The overall presence and recognizability of a brand within AI-generated search responses. Unlike traditional search visibility (SERP positions), AI search visibility is measured by citation frequency, sentiment accuracy, and share of voice within AI-generated answers for relevant topics.
Machine-readable annotations (using Schema.org vocabulary embedded as JSON-LD) that help AI crawlers understand the type, context, and relationships of your content. For GEO, the highest-impact schema types are FAQPage, SoftwareApplication, HowTo, Organization, and BreadcrumbList. Pages with proper schema markup are significantly more likely to be cited in AI responses.
The most common questions buyers ask AI engines about GEO, AEO, and AI search optimization — answered directly.
GEO (Generative Engine Optimization) is the practice of making your brand visible within AI-generated answers. It involves structured data, authority content, entity recognition, and citation signals that cause ChatGPT, Gemini, Perplexity, Claude, and Copilot to reference your brand when users ask relevant questions.
To be cited by ChatGPT: (1) Publish authoritative long-form content on your core topics with clear entity signals. (2) Add FAQ and HowTo schema markup to key pages. (3) Get mentioned in third-party publications that AI models are trained on. (4) Ensure your brand has a clear, consistent entity profile across the web — including Crunchbase, LinkedIn, and Wikidata. AI-Netra's platform identifies your exact gaps and prioritises the highest-impact fixes.
AI search optimization ROI is measured through citation rate growth (% of relevant queries where your brand is mentioned), share of voice vs competitors, sentiment score across AI platforms, and downstream metrics like branded search uplift and inbound lead quality. AI-Netra tracks all of these in a unified dashboard across ChatGPT, Gemini, Perplexity, Claude, and Copilot.
The leading GEO platforms in 2026 include AI-Netra, AthenaHQ, Evertune, and Profound. AI-Netra differentiates through multi-LLM playground, superior query intelligence, clearer ROI tracking, and the most accessible self-service interface. For brands wanting to monitor and improve visibility across all major AI engines simultaneously, AI-Netra offers the most comprehensive solution without enterprise complexity.
Initial citation improvements are typically visible within 2–4 weeks of implementing structured data and content fixes. Significant citation rate gains (40–70% improvement) generally take 6–10 weeks. Full AI search authority — where your brand is consistently cited across all major platforms — typically develops over 3–6 months of systematic optimization. AI-Netra's monitoring tracks progress weekly so you know exactly what's working.
Multi-LLM monitoring tracks your brand's citation rate, sentiment, and visibility simultaneously across ChatGPT, Gemini, Perplexity, Claude, Copilot, and other AI platforms. It matters because each model has different training data, retrieval logic, and citation patterns — so your brand may be highly visible on one platform and invisible on another. A single-platform view gives a false picture. AI-Netra is built specifically for multi-LLM monitoring.
See exactly how every AI engine perceives your brand — and get the roadmap to dominate AI search.