Search Tactic
Digital discovery
The full set of channels through which people find brands, products, and answers, search engines, AI assistants, social platforms, marketplaces, and agentic browsers. Replaces the narrower frame of just “SEO”.
What it is
Digital discovery is the full set of channels through which people find brands, products, and answers, spanning search engines, AI assistants, social platforms, marketplaces, and agentic browsers. It replaces the narrower frame of treating search engine optimisation as the whole of findability.
Why it matters
Audiences now begin journeys in many places at once, so optimising only for traditional search leaves large parts of the discovery surface uncovered. Treating discovery holistically reveals where attention and intent actually originate.
How it works
Map every surface where your audience searches or stumbles on answers, then tailor content and structured data to each one while keeping a consistent entity and attribution layer across them. Measure presence per channel rather than ranking alone.
When it applies
It applies to any brand whose audience finds information across more than one platform, which is now nearly all of them.
Examples
- A retailer optimises product data for a marketplace, a social feed, and an AI shopping assistant alongside its own site.
- A creator tracks discovery from a video platform and an AI assistant, not just organic search.
- A B2B vendor ensures an agentic browser can complete a research task using its structured pages.
How it is measured
- Share of discovery attributed to each channel
- Presence and citation rate across AI assistants and answer engines
- Cross channel branded query and direct visit growth
- Consistency of entity and attribution data across surfaces
Related terms in Search Tactic
- Answer Engine OptimisationThe practice of structuring content so it can be lifted directly into AI answers. Close cousin of GEO; emphasises clean, parseable facts and unambiguous attribution.
- Citation-worthy contentContent with the qualities LLMs select for when synthesising an answer: a single, defensible claim per paragraph; named entities; first-hand evidence; and a clear authority signal.
- Generative Engine OptimisationThe discipline of optimising content to be cited inside generative answers across ChatGPT, Claude, Gemini, Perplexity, and AI Overviews. Overlapping but distinct from classical SEO, favours specificity, citation-worthy claims, and structured attribution.
- Intent resolutionHow completely a page answers the underlying job the searcher was trying to do, not whether it matches the keywords used. The dominant ranking factor post-Google May 2026 core update.
- LLM-friendly contentContent structured to be parseable and citation-worthy by language models: clear claims, specific facts, named sources, structured data, and unambiguous attribution.