Cookie Preferences
    Built for humans and agents

    See your brand in every AI answer

    Asky tracks how ChatGPT, Perplexity, Claude, and every other AI search engine cites you. Then tells you exactly what to fix.

    Works across all major AI engines

    • OpenAIChatGPT
    • GoogleAI Overviews
    • PerplexityPerplexity
    • ClaudeClaude
    • CopilotCopilot
    • DeepSeekDeepSeek
    • GrokGrok

    Customers now move through the entire funnel in one AI conversation. Whether you're missing or misrepresented, there's no second pass to correct the record.

    Take Control With Asky

    01Track1 / 3

    See exactly what AI says about you

    Asky watches every major AI engine, in every language and region you care about, and turns the answers your buyers actually receive into measurable share-of-voice. You see what each model says about your brand, your competitors, and your category, every day.

    • 1

      Prompt monitors

      Daily prompts run across ChatGPT, Claude, Perplexity, AI Overviews, Copilot, DeepSeek, and Grok. You see exactly what each engine says about your category, your brand, and your competitors.

      US flagGB flagDE flag
      SE flag

      Best CRM for scaling SaaS startups

      OpenAIClaudePerplexity

      Bästa CRM för växande SaaS-bolag

      OpenAIClaudePerplexity

      HubSpot vs Salesforce for B2B teams

      OpenAICopilotGemini

      HubSpot eller Pipedrive för B2B-team

      OpenAICopilotGemini

      Best CRM for scaling SaaS startups

      OpenAIClaudePerplexity

      Bästa CRM för växande SaaS-bolag

      OpenAIClaudePerplexity

      HubSpot vs Salesforce for B2B teams

      OpenAICopilotGemini

      HubSpot eller Pipedrive för B2B-team

      OpenAICopilotGemini
    • 2

      Response analysis

      Asky reads every answer the way a human would. Front-end automation captures each response, then Asky extracts sentiment, citations, brand mentions, and competitor mentions, so you know exactly what AI is saying and why.

      OpenAIChatGPT
      What's the best CRM for scaling SaaS startups?
      OpenAI

      For fast-growing SaaS teams, HubSpot tends to win on ease of use and time to value1, though Salesforce is the standard once you cross enterprise scale.

      Smaller teams often pick Pipedrive or Close for sales-led motions, but HubSpot is the most balanced choice for marketing-led growth2.

      Analysis

      • Brand mentions2
      • Competitors3
      • Citations2
      • SentimentPositive
    • 3

      Brand alignment

      Every claim AI search engines make about your brand gets checked against your brand profile. See exactly which statements are accurate, which are wrong, and the source that taught AI the wrong story, so you can fix it at the root.

      ChatGPTMisaligned

      Claim

      Hubspot does not offer automatic reminders for tasks.

      Verdict

      This claim is incorrect.

      Your brand profile lists Workflows-based task reminders as a core feature, with assigned owners notified on schedule.

      Source AI cited

      reddit.com/r/CRM

      “Honestly hubspot’s reminders are buggy as hell, never fire on time.”

      Fix itIgnore
    02Diagnose2 / 3

    Find every gap AI is using against you

    See your site through the eyes of an AI agent. Asky pinpoints schema gaps, content blind spots, and the conversations shaping how models describe you, all ranked by how much they move the answer your buyers see.

    • 1

      Technical site audit

      Asky surfaces over 100 different issue types, like schema gaps that block AI citations, conflicting canonicals, entity ambiguity in your knowledge graph, and thin pillar pages, ranked by how much each one moves the answer your buyers see.

      127 issues·ranked by severity
      Live
      01SCHEMA

      FAQPage schema missing on /pricing

      Blocks Perplexity and Claude from quoting your pricing answers.

      High
      02CANONIC.

      Conflicting canonical on /features

      Duplicate signal — engines drop the page from answer sets.

      High
      03ENTITY

      Founder entity not bound to your brand

      Knowledge graph credits the wrong organisation.

      High
      04JSON-LD

      Offer.priceCurrency mismatch

      High
      05CONTENT

      Thin pillar page · /aeo-guide

      Med
      06H1

      Two H1 tags · /integrations/slack

      Med
      07CANONIC.

      Self-canonical missing · /blog

      Med
      08LINKS

      Orphaned hub · /compare/notion

      Med
      09SCHEMA

      BreadcrumbList missing · /docs

      Med
      10ENTITY

      sameAs gaps · LinkedIn, Crunchbase

      Med
      11PERF

      LCP > 4s on /pricing

      Med
      12CONTENT

      Alt text gap · 12 images

      Low
      13JSON-LD

      Article.dateModified missing

      Low
      14LINKS

      Internal anchor variance · /pricing

      Low
      15PERF

      CLS spikes on /docs/quickstart

      Low
      16H1

      H1 length > 70 chars · /about

      Low
      17CONTENT

      Author bio missing · 8 posts

      Low
      04JSON-LD

      Offer.priceCurrency mismatch

      High
      05CONTENT

      Thin pillar page · /aeo-guide

      Med
      06H1

      Two H1 tags · /integrations/slack

      Med
      07CANONIC.

      Self-canonical missing · /blog

      Med
      08LINKS

      Orphaned hub · /compare/notion

      Med
      09SCHEMA

      BreadcrumbList missing · /docs

      Med
      10ENTITY

      sameAs gaps · LinkedIn, Crunchbase

      Med
      11PERF

      LCP > 4s on /pricing

      Med
      12CONTENT

      Alt text gap · 12 images

      Low
      13JSON-LD

      Article.dateModified missing

      Low
      14LINKS

      Internal anchor variance · /pricing

      Low
      15PERF

      CLS spikes on /docs/quickstart

      Low
      16H1

      H1 length > 70 chars · /about

      Low
      17CONTENT

      Author bio missing · 8 posts

      Low
      + 110 more
      scanning
    • 2

      Content gap analysis

      Identify the topics where AI cites your competitors and never mentions you. Pinpoint the queries you need to own, ranked by traffic value and competitive density.

      pillar supportinggap
      cluster
    • 3

      Engagement signals

      Surface the Reddit threads, LinkedIn posts, and forums AI is already pulling from, plus the real-time conversations shaping your category. Know exactly where to show up.

      r/SaaS

      cited by Perplexity

      Pricing page A/B tests that actually moved the needle

      ↑ 412 · 87 comments

      LinkedIn

      Live

      Why we replaced MQLs with pipeline contribution

      128 reactions · 34 comments today

      Hacker News

      cited by Claude

      Show HN: Open-source attribution model for B2B SaaS

      ↑ 218 · 64 comments

      Quora

      Live

      What's the most underrated B2B SaaS growth channel right now?

      24 answers today

    03Improve3 / 3

    Turn diagnoses into shipped fixes

    Asky drafts the pages, schema patches, and next moves that compound your AI presence. Every output is grounded in what models already weight, so what you ship is on-brand and ready to win.

    • 1

      Opportunities

      Most platforms stop at the report. Asky turns each finding into clear next steps, briefs to draft, prompts to claim, outlets to pitch, and many more, scored by the actual impact.

      Next stepHigh
      Content gap

      Draft Article

      AI cites competitors for "serverless analytics": 250+ monthly searches.

    • 2

      AEO content engine

      Create content for your customer's questions in minutes. Every article is rooted in data including citations, statistics, and facts combined with your own knowledge. Automatically translated and linked to existing content.

      Brand ContextDone
      Analyze CitationsDone
      Statistics & SourcesDone
      Internal LinksRunning
      Content BriefLocked
      Write Full ArticleLocked
    • 3

      Technical remediation

      Schema patches, entity mappings, sitemap rewrites, all generated for you. Hand them to engineering or push them straight to your CMS.

      {
      "@context": "https://schema.org",
      "@type": "Article",
      "@type": "TechArticle",
      "headline": "AEO playbook for SaaS",
      "author": "Unknown",
      "author": {
      "@type": "Organization",
      "name": "Asky",
      "url": "https://asky.com"
      },
      "datePublished": null,
      "datePublished": "2026-04-26"
      }
      +5 added · -3 removed Apply patch · 1-click

    Optimizing what actually shapes the answer

    Most tools track siloed answers. Asky tracks and emulates the knowledge graph that answer engines rely on. See every source, topic, and signal that shapes the answer, and how they connect to your brand.

    customer onboardingpricing strategyyour brand
    01

    Sources

    Every page an engine could quote: docs, reviews, forums, the lot. Most tools count citations; Asky maps the whole pool.

    02

    Topics

    Sources cluster into topics. Each one is an arena where engines pick the brands they trust. Asky tracks your standing in every one.

    03

    Signals

    Identify missing coverage, or conflicting signals pulling answers away from you, and fix them with Asky.

    All the tools, one integrated platform

    Asky is one platform for tracking, diagnosing and improving how AI search engines see your brand, from prototype to production scale.

    Track every citation and mention across AI search

    Tracking

    Asky watches ChatGPT, Perplexity, Claude, Copilot, Grok and AI Overviews, and tells you when, where, and how each engine cites your brand.

    Create AEO optimized content

    Content

    Generate authoritative content that AI engines actually cite. Asky's content engine uses the same signals models prioritize, so you publish proof, not filler.

    Find every gap AI is using against you

    Technical Audit

    Schema gaps, conflicting canonicals, entity ambiguity, thin pillar pages. Over 100 issue types ranked by how much each one moves the answer your buyers see.

    See your site through AI eyes

    Crawler Logs

    Real-time logs of every GPTBot, ClaudeBot, PerplexityBot and Googlebot hit. Spot which pages get crawled, which get skipped, and what those agents render.

    Classic SEO, side by side with AEO

    SEO Data

    Keep your rankings, clicks and impressions on the same canvas as AI citations, so every move is measured against both worlds at once.

    Plug Asky into your entire stack

    Integrations

    Connect Search Console, GA4, Webflow and WordPress. Push fixes to production without copy paste.

    Google Search ConsoleGoogle AnalyticsWebflowWordPress
    Ready when you are

    Take control of how AI search sees your brand

    Spin up your workspace in minutes. Connect your domain, see citations across every major engine, and ship fixes the same day.

    FAQs.

    • Asky is leading the evolution from Search Engine Optimization (SEO) to AI Engine Optimization (AEO). Our platform combines traditional SEO fundamentals with cutting-edge AI visibility optimization to measure and improve brand performance. We monitor how AI systems such as Google AI Overviews, ChatGPT, and Perplexity reference and cite your brand, then turn those insights into actions that raise citations, accuracy, and share of answers.

    • AI Visibility Optimization, often referred to as AI Engine Optimization (AEO) or Generative Engine Optimization (GEO), is the practice of improving your brand's visibility inside AI-generated answers across products like ChatGPT, Perplexity, and Google AI Overviews. Instead of only competing for blue links, AEO focuses on how Large Language Models, LLMs, reference, cite, and rank your brand directly in their responses.

    • SEO optimizes web pages to rank in search engine result pages, SERPs. AEO optimizes how AI systems retrieve and summarize your brand when users ask questions. Key differences:

      • ·Ranking target: SEO targets SERPs; AEO targets LLM answer boxes and citations.
      • ·Signals: SEO leans on links, crawlability, and on-page structure; AEO adds answerable facts, structured data, entity clarity, and trustworthy citations that LLMs prefer.
      • ·Evaluation: SEO looks at keyword rankings and traffic; AEO looks at mention rate, citation quality, sentiment, and answer share across AI platforms.

      It is common to rank well on Google yet underperform in LLM search. AEO closes that gap.

    • Each day we run structured prompt sets that are built with our proprietary algorithm. The algorithm blends real user queries, keyword research, and platform-specific patterns for the regions that matter to you. This approach outperforms prompt sets that are solely synthetic and gives a more accurate picture of reality. We then quantify:

      • ·Appearance and rank in generated answers
      • ·Citation coverage and citation quality
      • ·Sentiment around your brand versus competitors
      • ·Competitive presence and share of voice in answers
      • ·Trends over time by topic, market, and language
    • By far most of the AI visibility tools on the market today rely on APIs to gather response data from LLMs. This approach is fundamentally flawed as the API does not reflect what real users see in the AI interfaces. This not only means that you are getting inaccurate data, but also that any recommendations based on that data will be ineffective or even harmful to your brand's AI visibility.

      Asky uses front-end agents that simulate real user queries in each AI interface to get response data. This is the only way to mirror what end users actually see. We vary language, region, login state, and prompt phrasing to reflect realistic conditions that are important to your brand, and reduce bias.

    • Asky turns measurements into actionable AEO playbooks:

      • ·Identify content and answer gaps where LLMs omit or misstate your brand
      • ·Generate the optimized articles that will get you cited and mentioned
      • ·Recommend entity, schema, and page-level fixes that LLMs reliably cite
      • ·Surface competitor advantages and how to counter them
      • ·Prioritize pages and facts most likely to boost LLM mentions and citations
      • ·Track before and after impact across platforms, languages, and regions
      • ·Asky identifies social and PR opportunities that LLMs are likely to cite
    • Yes. Asky supports multi-language and geography-specific brands. We run structured prompt sets in the languages you target and execute them with geographically scoped agents from specific countries and cities, so results reflect local user queries.

      This lets us see how your brand is cited and described in each market, then compare visibility, citation quality, and sentiment across languages and locations. From there, we provide localized recommendations for content, schema, and entity signals that increase citations and improve tone.

      Because LLM outputs vary by prompt language and user location, our multi-language prompts and geo-located agents give you a more accurate view and faster improvements in every market.

    • Asky makes AI search optimization simple and powerful. Marketers, growth teams, content writers, and agencies get deep analytics and precise recommendations. Busy teams get clear guidance and implementation support without needing to learn new tools.

      • ·Citation tracking for frequency, quality, and source mix
      • ·Sentiment analysis for your brand and competitors
      • ·Competitive benchmarking and answer share
      • ·Content and answer gap analysis
      • ·AI optimized content generation
      • ·AI crawler and parse diagnostics
      • ·Specific language and geography targeting
      • ·Social engagement and PR opportunity identification

    Ready to supercharge your growth operations?

    Join leading brands using Asky to boost visibility, accelerate execution, and cut costs.