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SEO & Marketing Metrics

Search Volume

In shortThe estimated average number of times a keyword is searched per month, used to size demand and prioritise keywords.

Updated 24 Oct 2026· 2 min read

Search volume is the estimated number of times a keyword is searched in a given period, usually shown as an average per month for a country and language. It is the most familiar keyword metric and is used to size demand, prioritise keywords and compare topics. MLforSEO treats it as an important input but never the only signal.

How it works

  • Google Ads Keyword Planner reports average monthly searches, typically a 12-month average, and groups close variants together. Accounts without significant ad spend see broad ranges.
  • SEO tools and APIs (such as the DataForSEO API) combine Google Ads data, clickstream panels and modelling to estimate volume, often with monthly trend data, CPC and competition.
  • Google Trends shows relative interest over time (0 to 100), not absolute volume, and is useful for seasonality.
  • Numbers are estimates; different tools often disagree significantly for the same keyword.

How it’s used in SEO and marketing

  • Prioritising keywords and clusters: sum volume per cluster (for example after KeyBERT or BERTopic clustering) to see which topics carry the most demand.
  • Balancing short-tail (higher volume, more competition) and long-tail (lower volume, more specific, often higher conversion) keywords, together with keyword difficulty.
  • Sizing a treemap or dashboard of the keyword universe so the biggest opportunities are visible.
  • Filling gaps in exported keyword lists with a volume API.

Example

MLforSEO’s EAV lesson shows why volume is not the whole story. Queries combining an entity with specific variables, such as an influencer niche and location, often show negligible search volume, yet a page targeting them can serve a clear business purpose and attract exactly the right audience. In the semantic workflow, a statement like “this cluster represents X intent, Y entity coverage and Z business outcome” is a stronger case to stakeholders than “this keyword has high volume”.

Limitations and things to watch

  • Volumes are rounded, averaged and modelled; treat them as relative indicators.
  • Grouped close variants can hide the volume of individual phrasings.
  • Many valuable long-tail and new queries show zero volume.
  • Volume says nothing about intent, click-through (AI Overviews and SERP features can absorb clicks) or business value.
  • Prompts in AI assistants are not captured by keyword volume, so demand for some topics is underestimated.

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Sources and further reading

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