SHUTTER
Become Visible
Inside AI.
Shutter helps companies get discovered in ChatGPT, Claude, Gemini and Perplexity—not just Google.
Inspect your AI footprint.
Select a brand preset and toggle target AI engines to preview how Shutter traces, analyzes, and lists visibility parameters.
AI Visibility Score
Aggregate recommendation weight
Lack of explicit JSON-LD pricing schema. Claude and ChatGPT are quoting outdated 2024 tier metrics from secondary source articles.
Embed structured product schema metadata directly inside developer documentation. Capture high-intent queries matching "PostgreSQL scale-out alternatives".
+18% recommendations and accurate tier citation references in OpenAI/Claude.
Are you visible inside AI?
Traditional search index engines crawled keyword strings to index lists of blue links. Today, artificial neural networks analyze structural data, semantic associations, and factual consensus to synthesize direct recommendations.
To be visible, you must shift your focus from search optimization to model alignment. Your brand must exist inside the latent weights of generative models.
Keyword Indexation
Optimized for header tags, page load speeds, and static backlink weights. Ranks directories to route traffic.
Neural Vector Proximity
Optimized for semantic attributes, factual accuracy, and context alignment. Pulls citation reference sources into answers.
If AI doesn't mention you, you don't exist.
When buyers query ChatGPT or Perplexity for product comparisons, search is bypassed. If your site isn't indexed in the weights, you lose the deal before the user even clicks a link.
Citation Drops
As LLMs update weights, previously high-ranking websites drop out of citations because their schema structure is unreadable to updated web parsers.
Hallucinated Claims
Without clean structural tags, models compile cached, outdated information or hallucinate specs, destroying conversion confidence.
Competitor Hijacking
Aggressive competitor brands configure schema markup rules specifically to target comparison prompts, stealing your market share inside model recommendations.
How Shutter Works
Shutter is the AI Visibility Platform that monitors model perception and deploys schema tunings to ensure you appear in direct recommendations.
Scan & Map
Submit your domain. Shutter automatically maps your index footprint and identifies semantic gaps between your pages and target search vectors.
Analyze AI Perception
We trigger parallel diagnostic checks to OpenAI, Gemini, Claude, and Perplexity, recording citation logs, SWOT analysis, and competitor share-of-voice indices.
Optimize & Secure
Deploy tailored schema markups and close content gaps. Shutter alerts you if your citation standing falls or if model updates alter recommendations.
Engineered for Customer Outcomes
Stop guessing what LLMs think. Audit your semantic presence and secure placement inside AI recommendations.
AI Visibility Audit
Analyze and score how models recommend your brand for high-intent search terms across target neural networks.
Citation Tracking
Track which technical documents, pages, and forum reviews ChatGPT and Claude reference when formulating answers.
Entity Optimization
Deploy clean structured JSON-LD data to link your product attributes directly inside model databases.
Knowledge Graph Analysis
Understand how models map your brand relationships and categories compared to major industry benchmarks.
AI Search Monitoring
Evaluate prompt responses over thousands of user search combinations to ensure consistent brand recommendations.
Competitive Benchmarking
Compare your AI share-of-voice indices directly against competitor products to measure search capture.
Auditable gains in AI rankings.
Data points gathered across 12,000 audited domains optimizing content specifically for model parameters.
Visibility Increase
Average increase in positive brand mentions across target OpenAI & Claude search queries within 90 days.
Citation Growth
Multiplication of direct backlink citations from Perplexity answers, driving high-intent organic traffic.
Appearence Rate
Boost in placement frequencies inside competitive product recommendation listings and comparisons.
Proven results inside AI answers.
See how modern software organizations use Shutter to capture citations and increase model recommendations.
Supabase Optimization Case
By standardizing JSON-LD database entities and adding feature comparison tables optimized for RAG parsers, Supabase successfully resolved hallucinated pricing quotes.
Linear Visibility Case
Targeting competitor keywords and structuring documentation for API parser agents helped Linear secure recommendation slots inside Claude PM tool surveys.
AI Visibility Integration Flow
We validate and optimize your brand's presence across target LLM indexes step-by-step.
Free Snapshot
Get an immediate automated audit of your domain. Scans core models for top 5 key search terms to check index status.
Premium Audit
Deep-dive evaluation of 50+ semantic queries. Includes comparative competitor benchmarking and SWOT summaries.
Implementation
Done-for-you deployment of structured schema markups, robots.txt alignment rules, and targeted documentation content optimization.
Ongoing Monitoring
Continuous citation tracking with real-time alerts if model weights shift or competitor brands steal visibility recommendations.
From crawling structures to deep model evaluations, our diagnostic console secures your brand’s citation footprint inside AI answers.
AEO is the practice of optimizing your website and content specifically to be cited and referenced by AI search engines, such as ChatGPT, Gemini, Claude, and Perplexity. Unlike traditional SEO which focuses on web ranking, AEO centers on context relevance, factual accuracy, and alignment with LLM training weights.
Get StartedShutter deploys asynchronous API probes to major models in parallel using your framed search queries. It maps citation occurrences, calculates visibility indexes, audits robots.txt disallow routes, and checks structured JSON-LD schemas to give you a real-time health indicator of your brand presence across LLMs.
Get StartedLLM weights and RAG systems rely heavily on semantic associations. If your brand is not linked with positive attributes, features, or direct comparisons in the models' latent vectors, they will not recommend you. Shutter helps identify content and citation gaps to tune your presence directly in their neural databases.
Get StartedAbsolutely. Many sites unknowingly block AI index crawlers (like GPTBot, ClaudeBot, and PerplexityBot) in their robots.txt files, or lack structured Schema.org markups. Shutter identifies these structural failures and provides copy-paste templates to immediately align your website with LLM guidelines.
Get StartedReady to secure your company's recommendations inside AI?
Book a custom demo with our visibility engineers to map your brand entity associations and citation loops across ChatGPT, Claude, Gemini and Perplexity.