Visibility / AI Visibility for Apps

Engineered for discoverability across generative AI engines.

Track and boost brand mentions across ChatGPT, Claude, Gemini, Grok, and Perplexity.

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AI Visibility for Apps, with the whole app in view.

Answer Engine Optimization (AEO) addresses the rapid migration of user discovery from traditional search engines to conversational AI platforms like ChatGPT, Google Gemini, Perplexity, and Microsoft Copilot. Traditional SEO and app store optimization focus on keyword indexing and link graphs, leaving app ecosystems unrepresented when generative engines synthesize answers. Apps without machine-readable entity definitions, factual brand knowledge graphs, and authoritative third-party citations remain invisible in AI-generated product recommendations.

What we can take care of

  • Multi-platform AI presence audit analyzing how ChatGPT, Gemini, Perplexity, and Copilot represent your app
  • Entity-based knowledge graph mapping and semantic schema markup implementation
  • Factual data repository structuring features, use cases, pricing, and integrations for AI retrieval
  • Third-party citation and brand sentiment audit across high-authority platforms cited by LLM crawlers
  • Prompt simulation and answer extraction tracking across high-intent category queries
  • Competitor share-of-voice analysis across generative search summaries and conversational answers
  • Ongoing AEO/GEO content blueprints designed for retrieval-augmented generation (RAG) indexing

How we approach the work

We optimize for generative engine retrieval by aligning your app's digital footprint with how Large Language Models ingest and weight factual entities. We systematically audit how major generative models describe your product, identifying hallucinations, omissions, or outdated pricing and feature data. Then, we structure your web documentation, PR distribution, and authoritative profile pages with unambiguous semantic data, ensuring AI web crawlers and indexers extract accurate, citation-ready information.

What progress looks like

Citation frequency across generative AI search responses, entity accuracy scores, AI share of voice relative to named competitors, and referral traffic originating from conversational search platforms.

Before we begin

Share your app links, the challenge and the outcome you want. Your concierge will confirm inputs, deliverables, timing and costs for your scope before work begins.

What is the difference between SEO and AEO/GEO for mobile applications?

Traditional SEO optimizes web pages to rank in a list of hyperlinks on search engine results pages based on keywords, backlinks, and technical site performance. Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) structure entity relationships, factual brand attributes, and contextual use cases so generative AI systems can ingest, synthesize, and cite the app directly within conversational answers.

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