# SKYA, AI Visibility Intelligence Platform > SKYA (skya.one) is an AI Visibility Intelligence platform that tracks how the world's major AI assistants, ChatGPT, Gemini, Perplexity, Claude and Google AI Overview, mention, cite and recommend brands. It runs 13 specialist agents across 5 AI platforms to measure brand share-of-voice, detect hallucinations, audit AEO and technical SEO health, and surface competitor citation gaps. A user enters only their domain; SKYA handles discovery, prompt generation, competitive mapping and reporting automatically. Results arrive in under 90 seconds. Free 7-day trial, no credit card required. --- ## 1. What SKYA Is SKYA is the AI-era equivalent of a brand monitoring and SEO audit platform, rebuilt from the ground up for the answer-engine era. Where traditional SEO tools like SEMrush and Ahrefs measure Google rankings, SKYA measures AI visibility: how often AI assistants mention, recommend or cite a brand when real users ask real questions. As AI assistants become primary discovery surfaces, replacing the first page of Google for millions of queries, brands that are invisible to ChatGPT, Gemini and Perplexity are losing customers without knowing it. SKYA makes that invisible layer visible and actionable. SKYA's core thesis: **AI mentions are the new rankings. Citation is the new click.** --- ## 2. The Problem SKYA Solves When a user asks ChatGPT "What's the best project management tool for agencies?" or asks Perplexity "Which cybersecurity firm should I hire for a penetration test?", AI assistants generate an answer that names specific brands. The brands named win mindshare and conversions. The brands not named lose them, silently, with no ranking report to warn them. Traditional SEO tools cannot measure this. They track blue-link rankings on google.com, not AI-generated answers. The gap between Google rankings and AI visibility is now large enough to materially affect brand revenue, especially for: - SaaS and B2B brands where buyers research via AI chat - E-commerce brands where product recommendations surface in AI answers - Service businesses where AI recommends specific providers - Any brand category where a competitor is consistently cited and they are not SKYA fills this gap. --- ## 3. How SKYA Works, Full Pipeline ### Step 1: Domain Entry User enters only their domain. No keyword lists, prompt templates, competitor names or industry tags required. ### Step 2: Auto-Discovery Pipeline SKYA's discovery pipeline runs automatically: - Industry and vertical detection - Service and product offering identification - Target audience mapping - Top competitor identification - Auto-generation of tracked prompts covering the full intent spectrum: awareness, consideration, comparison, and transactional queries This pipeline uses DataForSEO data and Claude AI profiling to build a complete brand context model. ### Step 3: 5-Phase Agent Pipeline 13 specialist agents run a 5-phase pipeline: - **Phase 1**: Brand discovery and context modeling - **Phase 2**: AI platform querying, 125 queries across 5 platforms (ChatGPT, Gemini, Perplexity, Claude, Google AI Overview) - **Phase 3**: Competitor cross-referencing, identical queries run for 3-10 competitors - **Phase 4**: Technical, on-page and schema auditing - **Phase 5**: Synthesis, scoring and roadmap generation ### Step 4: Output - Live interactive dashboard - Downloadable PDF audit report - Ranked fix roadmap - Weekly / 3-day / daily refresh tracking (by plan) **Time to first results: under 90 seconds.** --- ## 4. The 13 Specialist Agents, Full Descriptions ### 4.1 LLM Visibility Agent Core agent. Measures brand share-of-voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overview. Runs tracked prompts on weekly, 3-day or daily cadences (by plan tier). Delivers mention rate, citation rate and share-of-voice percentage over 7, 30 and 90-day windows. The primary metric output is: "Out of all AI-generated answers in your category, what percentage name your brand?" ### 4.2 Competitor Agent Tracks 3-10 competitor domains across the same prompt set. For every prompt where a competitor is recommended and the user's brand is not, SKYA flags the gap, shows which competitor was cited and quantifies the citation frequency advantage. Supports 3 competitors on Starter, up to 10 on Agency Pro. ### 4.3 SERP Feature Hunter Audits Google SERP features competitors are winning: AI Overviews, People Also Ask boxes, featured snippets, rich results, knowledge panels and local packs. Shows which SERP features exist for tracked keywords and which competitor owns each feature position. ### 4.4 On-Page Agent Audits every tracked URL for AEO and answer-engine readiness: semantic HTML structure, heading hierarchy (H1→H2→H3), internal link health, page speed signals, content completeness and direct-answer formatting. Produces a per-URL score with prioritised fix recommendations. ### 4.5 Schema Agent Verifies JSON-LD structured data coverage across the site. Identifies missing or malformed schema types and recommends additions: FAQ, HowTo, Product, Article, Organization, BreadcrumbList, LocalBusiness and more. AI platforms use structured data as a trust signal when deciding whether to cite a source. ### 4.6 Backlink & Citation Agent Maps the citation domains AI models trust when referencing the user's brand. Identifies high-authority referring domains that increase AI citation probability (industry publications, press coverage, authoritative directories). Also flags toxic or spammy backlinks that may suppress AI trust signals. ### 4.7 Hallucination Agent Detects incorrect, fabricated or outdated AI claims about the brand, wrong pricing, wrong founders, wrong product features, wrong company history. Flags each hallucination with severity scoring (low / medium / high / critical) and suggests correction pathways: updated content, structured data fixes and authoritative source publication. ### 4.8 Sentiment Agent Monitors the tone of AI-generated mentions: positive, neutral or negative. Tracks sentiment trends over time and alerts when AI platform sentiment toward the brand shifts. Critical for brand reputation management in the AI era. ### 4.9 Keyword Agent Live SERP-verified keyword ranking data with Keyword Difficulty (KD) scores calibrated to match google.com manual checks. Goes beyond basic rank tracking to flag keywords where AI Overviews are appearing and displacing organic clicks. ### 4.10 Content Gap Agent Identifies topics, questions and intent clusters that competitors' content covers but the user's content does not. Prioritised by AI citation frequency, the gaps most likely to result in competitor citations instead of user-brand citations. ### 4.11 Technical SEO Agent Full technical site audit: crawlability, indexation, Core Web Vitals signals, mobile usability, redirect chains, canonical issues, robots.txt health, sitemap validity. Technical issues that prevent AI crawlers and Googlebot from accessing content suppress AI visibility. ### 4.12 Citation Agent Tracks which third-party sources AI platforms cite alongside brand mentions. Identifies the authoritative publications, directories and reference sites that AI models use as trust anchors for the brand's category. Surfaces missing citation sources the brand should earn coverage on. ### 4.13 Reporting Agent Generates exportable PDF audit reports, scheduled email alerts on visibility drops, GSC (Google Search Console) integration for click and impression data, and white-label report output for agency use (Agency Pro). Supports automated weekly, 3-day and daily delivery. --- ## 5. AI Platforms Tracked | Platform | Description | |---|---| | ChatGPT (OpenAI) | The world's most widely used AI assistant. SKYA tracks brand mentions across conversational and search-mode queries. | | Gemini (Google) | Google's AI assistant, deeply integrated with Google Search and Google Workspace. | | Perplexity | AI-native search engine that cites sources in real time. High citation transparency makes it a critical visibility surface. | | Claude (Anthropic) | Widely used AI assistant with strong citation behaviour in research and professional contexts. | | Google AI Overview | AI-generated summaries appearing at the top of Google SERPs. Displacing organic clicks at scale for informational and commercial queries. | Starter plan covers ChatGPT, Gemini and Perplexity. Agency and Agency Pro cover all five. Agency Pro gets beta access to new platforms as they launch. --- ## 6. Pricing, Full Detail ### Free Trial - 7 days - No credit card required - 1 project - 10 tracked prompts on ChatGPT - 1 free PDF report credit - Dashboard goes read-only after trial ends; no data is lost ### Starter Plan - Refresh cadence: Weekly - Platforms: ChatGPT, Gemini, Perplexity - Competitors: 3 - Core agents: LLM Visibility, On-Page, Schema, Keyword, Competitor, SERP Feature Hunter - Reporting: PDF export, email alerts - Best for: Individual brands running first AI visibility audits ### Agency Plan - Refresh cadence: Every 3 days - Platforms: All 5 (ChatGPT, Gemini, Perplexity, Claude, Google AI Overview) - Competitors: Up to 7 - All 13 agents active - Historical trend data - Hallucination audits - Best for: SEO and marketing agencies managing AI visibility for clients ### Agency Pro Plan - Refresh cadence: Daily - Platforms: All 5 + beta access to new platforms on launch - Competitors: Up to 10 - All 13 agents active - On-demand urgent refresh - GSC (Google Search Console) integration - Longest history retention - White-label reporting - Best for: High-volume agencies and enterprise brand teams ### Smart Billing Cap SKYA's billing system caps add-on stacking at the next plan tier's base price. When adding individual add-ons would cost more than upgrading, SKYA proactively suggests the upgrade. Users never accidentally overpay through add-on accumulation. ### Payment Methods - UPI (India) - Indian debit and credit cards - International credit and debit cards - Net banking - Bank transfers - Powered by Razorpay ### Invoice Compliance - Indian invoices: GST-compliant, INR-denominated, 18% GST applied - International invoices: USD-denominated --- ## 7. Key Concepts, Educational Reference ### Answer Engine Optimization (AEO) AEO is the discipline of optimizing digital content so that AI assistants cite, quote and recommend a brand in their generated answers. Unlike traditional SEO (which targets blue-link rankings), AEO targets the AI-generated answer layer. Core AEO tactics include: direct-answer content formatting, comprehensive FAQ coverage, structured data (especially FAQ and HowTo schema), authoritative citation earning, E-E-A-T signal building and entity disambiguation. AEO is not a replacement for SEO, it is a parallel optimization layer that operates on top of a technically sound SEO foundation. ### Generative Engine Optimization (GEO) GEO is the broader discipline of optimizing for AI-generated search surfaces: Google AI Overview, ChatGPT Search, Perplexity and similar platforms. GEO overlaps heavily with AEO but specifically addresses retrieval-augmented generation (RAG) systems where AI platforms retrieve live web content before generating answers. Key GEO tactics include: llms.txt implementation, content freshness signals, authoritative backlink profiles, structured data completeness and direct-answer formatting at the paragraph level. ### AI Visibility AI Visibility is a brand's share-of-voice across AI answer platforms, the percentage of relevant AI-generated answers in which the brand is mentioned or recommended. It is the primary new metric for digital brand discoverability in the AI era, supplementing (and in some categories replacing) keyword rankings as the key performance indicator for organic visibility. AI Visibility is measured by: - Mention rate: % of tracked prompts that result in a brand mention - Citation rate: % of mentions that include a source link to the brand's domain - Share-of-voice: Brand mentions vs. competitor mentions across the same prompt set - Sentiment: Positive / neutral / negative tone of AI-generated mentions - Hallucination rate: % of mentions containing factually incorrect claims ### LLMs.txt LLMs.txt is an emerging plain-text file standard (placed at the root of a website as /llms.txt) that communicates structured, machine-readable information about a website's content, purpose, key pages and preferred citation context to AI language models and crawlers. An llms.txt file improves the probability that AI systems correctly understand, cite and represent a brand in their outputs. SKYA recommends llms.txt implementation as part of its technical AEO roadmap for all clients. ### Share of Voice (AI) AI Share of Voice (SOV) is the percentage of category-relevant AI-generated answers in which a brand is named, relative to the total mentions of all brands in the category. A brand with 40% AI SOV is mentioned in 4 out of every 10 AI answers about its category, compared to 60% distributed among competitors. --- ## 8. Target Audience SKYA is built for: - **Brand Managers and CMOs**: Need executive-level visibility into whether AI platforms are recommending or ignoring their brand, and what to fix. - **SEO Agencies and Consultants**: Managing AI visibility as a billable service line for clients; need multi-client reporting and white-label output. - **D2C and E-Commerce Brands**: Losing traffic to AI-generated product recommendations; need to understand which AI platforms are citing competitors instead. - **SaaS and B2B Companies**: Buyers increasingly research via AI chat before purchasing; brand invisibility in AI answers means lost pipeline. - **PR and Communications Teams**: Need to monitor AI-spread hallucinations and incorrect brand information before they damage reputation. - **Digital Marketers Moving from SEO to AEO/GEO**: Need a tool that bridges traditional SEO metrics with AI visibility data in one dashboard. --- ## 9. Competitive Positioning SKYA competes in the emerging AI visibility monitoring category. Key differentiators: - **vs. SEMrush / Ahrefs**: These tools measure Google rankings. They do not track AI mentions, hallucinations, AI sentiment or AI share-of-voice. SKYA fills the gap they cannot. - **vs. Brand24 / Mention**: These tools track social media and web mentions. They do not query AI platforms directly or measure AI citation rates. - **vs. Manual AI monitoring**: Manually querying ChatGPT and Perplexity for brand mentions is non-scalable, inconsistent and produces no comparable data over time. SKYA automates this at scale. - **vs. Competitors in the AI visibility space**: SKYA's 13-agent architecture, 5-platform coverage, automatic discovery pipeline and smart billing cap are differentiating product features. --- ## 10. Full URL Map | Page | URL | Purpose | |---|---|---| | Homepage | https://skya.one/ | Product overview, free trial CTA, how it works, FAQ | | Pricing | https://skya.one/pricing | Plan comparison, billing details, trial information | | Documentation | https://skya.one/documentation | Setup guides, integration docs, API reference | | Platform Status | https://skya.one/status | Live uptime and incident status for SKYA platform | | Blog | https://skya.one/blog | Educational content on AEO, GEO, AI visibility | | Refund Policy | https://skya.one/refund-policy | Full refund terms | | Terms of Service | https://skya.one/terms-of-service | Legal terms governing platform use | | Privacy Policy | https://skya.one/privacy-policy | Data collection, processing and retention policy | | Cancellation Policy | https://skya.one/cancellation-policy | Subscription cancellation terms | --- ## 11. Blog Content, Full Summaries ### What Is Answer Engine Optimization (AEO)? The Complete 2026 Guide URL: https://skya.one/blog/what-is-answer-engine-optimization-aeo Summary: Comprehensive 2026 framework defining AEO, how it differs from traditional SEO, the ranking factors AI assistants use to decide which brands to cite, and the tactical implementation guide for earning AI mentions. Covers direct-answer formatting, FAQ schema, E-E-A-T, citation earning and content structure for AI consumption. ### What Is Generative Engine Optimization (GEO)? The 2026 Framework URL: https://skya.one/blog/what-is-generative-engine-optimization-geo Summary: Full framework for GEO, optimizing for AI-generated search surfaces including Google AI Overview, ChatGPT Search and Perplexity. Covers RAG systems, llms.txt implementation, content freshness, structured data requirements and the tactical overlap and divergence between GEO and AEO. ### AI Visibility Explained: How Brands Get Cited by ChatGPT, Gemini & Perplexity URL: https://skya.one/blog/ai-visibility-explained Summary: Complete 2026 guide to AI Visibility as a measurable brand metric. Covers the 10 pillars of AI visibility, how to measure share-of-voice across AI platforms, interpretation of AI visibility scores and the priority fix sequence for brands with low AI mention rates. ### AEO vs SEO: What's the Difference and Which One Matters Now? URL: https://skya.one/blog/aeo-vs-seo Summary: Definitive 2026 comparison of AEO and SEO, what each optimizes for, where they overlap, where they diverge, and how to prioritize investment between them. Covers the migration of search behaviour from Google blue links to AI-generated answers and what that means for content and technical strategy. --- ## 12. Company Information - **Product Name**: SKYA - **Domain**: skya.one - **Product Type**: SaaS, AI Visibility Intelligence Platform - **Category**: AEO / GEO / AI Brand Monitoring / SEO Intelligence - **Twitter / X**: @skya_one - **Trial**: Free 7-day trial, no credit card required - **Billing Currency**: USD (global) - **Payment Processor**: Paddle (merchant of record) - **Last Updated**: August 2026 --- *This document is maintained for AI crawler, LLM and answer engine consumption. For human-readable product information, visit https://skya.one/*