Glossary · Foundations
Search Everywhere Optimization
A strategy that optimizes for every place buyers now search — AI engines, social platforms, marketplaces and YouTube — not just Google.
One brand, many search surfaces
Search Everywhere Optimization is the idea that “search” no longer means a single box on Google. Buyers now look for answers across social platforms, video, marketplaces, communities and AI engines — so brands should be visible wherever people search, not only in classic web results.
Where the idea comes from
The framing was popularized by Rand Fishkin of SparkToro, who has long argued that treating Google as the whole of search badly understates how people actually find things. Someone researching a product might type it into TikTok, scan YouTube for a walkthrough, check Amazon reviews, ask on Reddit, and put the question to ChatGPT — often without touching a traditional search engine at all.
Search Everywhere Optimization takes that reality seriously and reframes SEO as multi-surface visibility: the discipline of being findable across all the places buyers look, rather than optimizing for one algorithm.
The surfaces that count
“Everywhere” isn’t literal — it means the places where your buyers actually form opinions and make decisions. For most brands that includes some mix of:
- Web search — Google and Bing, still the largest single surface.
- Social platforms — TikTok and Instagram, where younger buyers increasingly search first.
- Video — YouTube, the default for how-to and comparison queries.
- Marketplaces — Amazon and app stores, where buyers search with clear purchase intent.
- Communities — Reddit and forums, trusted for candid, unsponsored opinions.
- AI engines — ChatGPT, Perplexity and AI Overviews, which synthesize answers from many of the surfaces above.
Why it matters now
As attention fragments across platforms, a brand that only ranks on Google can be entirely absent from the conversations that decide a purchase. AI engines sharpen this further, because they draw on many of these surfaces at once — a strong presence on Reddit or a review site can shape what a model says about you even when your own page never ranks.
How to approach it
The goal isn’t to be everywhere at once — it’s to be present where your buyers research. Map the two or three surfaces your audience actually uses for your category, measure how you show up on each, and prioritize accordingly. For an increasing share of considered purchases, that map now includes at least one AI engine, which is why measuring AI visibility alongside classic rankings has become part of the same job.
Frequently asked
- Why 'everywhere' and not just Google?
- Because buyers no longer start every search on Google. They ask questions on TikTok and Instagram, watch how-tos on YouTube, read reviews on Amazon, look for candid opinions on Reddit, and increasingly ask AI assistants directly. Optimizing only for Google leaves you invisible on the surfaces where a growing share of discovery actually happens.
- How is this different from traditional SEO?
- Traditional SEO optimizes for one platform's ranking algorithm. Search Everywhere Optimization treats visibility as a multi-surface problem: the same buyer question needs to find you whether they typed it into Google, a marketplace search bar, a social feed or a chatbot — each of which surfaces content differently.
- Where should I start?
- Start where your buyers already look. Find the two or three platforms your audience uses to research your category, and make sure you show up well there before spreading thin across all of them. For most B2B and considered purchases, that increasingly includes at least one AI engine alongside Google.