Track every citation and mention across AI search
TrackingAsky watches ChatGPT, Perplexity, Claude, Copilot, Grok and AI Overviews, and tells you when, where, and how each engine cites your brand.
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 search engines
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.
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.
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.
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.
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.
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.
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.
Best CRM for scaling SaaS startups
Bästa CRM för växande SaaS-bolag
HubSpot vs Salesforce for B2B teams
HubSpot eller Pipedrive för B2B-team
Best CRM for scaling SaaS startups
Bästa CRM för växande SaaS-bolag
HubSpot vs Salesforce for B2B teams
HubSpot eller Pipedrive för B2B-team
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.
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
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.
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.”
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.
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.
FAQPage schema missing on /pricing
Blocks Perplexity and Claude from quoting your pricing answers.
Conflicting canonical on /features
Duplicate signal — engines drop the page from answer sets.
Founder entity not bound to your brand
Knowledge graph credits the wrong organisation.
Offer.priceCurrency mismatch
HighThin pillar page · /aeo-guide
MedTwo H1 tags · /integrations/slack
MedSelf-canonical missing · /blog
MedOrphaned hub · /compare/notion
MedBreadcrumbList missing · /docs
MedsameAs gaps · LinkedIn, Crunchbase
MedLCP > 4s on /pricing
MedAlt text gap · 12 images
LowArticle.dateModified missing
LowInternal anchor variance · /pricing
LowCLS spikes on /docs/quickstart
LowH1 length > 70 chars · /about
LowAuthor bio missing · 8 posts
LowOffer.priceCurrency mismatch
HighThin pillar page · /aeo-guide
MedTwo H1 tags · /integrations/slack
MedSelf-canonical missing · /blog
MedOrphaned hub · /compare/notion
MedBreadcrumbList missing · /docs
MedsameAs gaps · LinkedIn, Crunchbase
MedLCP > 4s on /pricing
MedAlt text gap · 12 images
LowArticle.dateModified missing
LowInternal anchor variance · /pricing
LowCLS spikes on /docs/quickstart
LowH1 length > 70 chars · /about
LowAuthor bio missing · 8 posts
LowIdentify 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.
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 PerplexityPricing page A/B tests that actually moved the needle
↑ 412 · 87 comments
Why we replaced MQLs with pipeline contribution
128 reactions · 34 comments today
Hacker News
cited by ClaudeShow HN: Open-source attribution model for B2B SaaS
↑ 218 · 64 comments
Quora
LiveWhat's the most underrated B2B SaaS growth channel right now?
24 answers today
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.
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.
Draft Article
AI cites competitors for "serverless analytics": 250+ monthly searches.
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.
Schema patches, entity mappings, sitemap rewrites, all generated for you. Hand them to engineering or push them straight to your CMS.
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.
Every page an engine could quote: docs, reviews, forums, the lot. Most tools count citations; Asky maps the whole pool.
Sources cluster into topics. Each one is an arena where engines pick the brands they trust. Asky tracks your standing in every one.
Identify missing coverage, or conflicting signals pulling answers away from you, and fix them with Asky.
Asky is one platform for tracking, diagnosing and improving how AI search engines see your brand, from prototype to production scale.
Asky watches ChatGPT, Perplexity, Claude, Copilot, Grok and AI Overviews, and tells you when, where, and how each engine cites your brand.
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.
Generate authoritative content that AI engines actually cite. Asky's content engine uses the same signals models prioritize, so you publish proof, not filler.
Real-time logs of every GPTBot, ClaudeBot, PerplexityBot and Googlebot hit. Spot which pages get crawled, which get skipped, and what those agents render.
Keep your rankings, clicks and impressions on the same canvas as AI citations, so every move is measured against both worlds at once.
Connect Search Console, GA4, Webflow and WordPress. Push fixes to production without copy paste.
Spin up your workspace in minutes. Connect your domain, see citations across every major engine, and ship fixes the same day.
Asky watches ChatGPT, Perplexity, Claude, Copilot, Grok and AI Overviews, and tells you when, where, and how each engine cites your brand.
Generate authoritative content that AI engines actually cite. Asky's content engine uses the same signals models prioritize, so you publish proof, not filler.
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.
Real-time logs of every GPTBot, ClaudeBot, PerplexityBot and Googlebot hit. Spot which pages get crawled, which get skipped, and what those agents render.
Keep your rankings, clicks and impressions on the same canvas as AI citations, so every move is measured against both worlds at once.
Connect Search Console, GA4, Webflow and WordPress. Push fixes to production without copy paste.
Spin up your workspace in minutes. Connect your domain, see citations across every major engine, and ship fixes the same day.
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:
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:
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:
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.
Join leading brands using Asky to boost visibility, accelerate execution, and cut costs.