Modern discovery is split across search engines, AI assistants, generative answer engines, LLM context, and app stores. Leadstore brings the channels together.
SEO: search engine optimization
SEO improves visibility in traditional search engines. It includes crawlability, indexability, content quality, internal links, metadata, structured data, technical performance, and search intent alignment.
Leadstore keeps SEO in the model because Google Search and Bing still feed direct traffic, brand trust, and assistant citations.
AEO: assistant experience optimization
AEO focuses on how AI assistants find, understand, cite, and refer users to a business. This includes public answers, assistant-ready files, AI referral tracking, crawler verification, and content that answers specific customer questions.
GEO: generative engine optimization
GEO focuses on visibility inside generative answer systems. The goal is to help answer engines recognize the site as a clear, trustworthy source for a topic, category, or product.
LLMO: large language model optimization
LLMO focuses on making public context easier for LLM-based systems to consume. That includes structured site summaries, llms.txt, llm-data.json, public documentation, and consistent entity information.
ASO: app store optimization
ASO improves visibility in Apple App Store and Google Play Store. Leadstore includes ASO because many businesses need the website, AI answer layer, and app listings to reinforce the same entity.
Why one dashboard matters
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Search, AI assistants, and app stores all influence discovery.
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Generated blog content needs to be measured across all channels.
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Leadstore Tag ties public content performance back to the same analytics model.
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Users get one action plan instead of separate disconnected reports.
How this fits into the three Leadstore stages
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Stage 1, account + site added: users get the audit reward before any tag or key - four core channel scores, top fixes, readiness, generated llms.txt and llm-data.json, and the Leadstore Tag snippet to install.
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Stage 2, tag installed: users get the live telemetry reward with no key required - AI-crawler activity by engine, verified-bot counts, human traffic, top sources, top pages, devices and geography.
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Stage 3, key connected: users add answer tracking on top of the audit and telemetry layers - Visibility Score, SAIV, Brand Monitor, share of voice, citations, competitors and hallucination checks.
Next step
Use Leadstore to audit all five channels, publish content, and measure visibility in one workflow.
