What local intent means
Local intent is the assumption — made by the searcher, inferred by the search engine — that the answer ought to be nearby. It arrives in two forms. Explicit local intent names a place, a district, a city or a landmark, or attaches a phrase such as “near me”. Implicit local intent names nothing at all and is obviously local anyway: emergency plumber, passport photos, dentist open now.
Google infers the second kind from the type of query and the searcher’s location, then answers it with a map block, distances and opening hours instead of a list of articles. The same words can carry different intent in different circumstances: a query that returns a map for someone on a phone in the city may return national results for someone asking from far away.
Why local intent matters
It decides which kind of page can win at all. A search with local intent will not be satisfied by a national article, however well written, because the first screen belongs to the map block and to pages tied to places. Writing a long guide for a query the engine answers with a map is effort spent in the wrong format.
It also predicts value. Local intent tends to sit late in a decision — somebody looking for a nearby locksmith is not comparing philosophies of locksmithing — so those searches convert far more readily than general research terms, even when there are fewer of them. In Nepal that effect is sharper still, because so much searching happens on a phone while the person is already out.
Where local intent gets missed
The commonest error is judging intent from the words alone. Keyword lists rarely mark which terms are local, so a term with no place name in it gets handed to a blog article, and the article never appears. Checking the live results settles it in seconds: if the first screen is a map, the intent is local.
The second error is assuming intent is uniform. Some queries are genuinely mixed, part research and part purchase, and the results show it — a map above, guides below. Those need both kinds of page, linked to each other, not one compromise page trying to serve both.
What to do about it
Before mapping any keyword to a page, run the search from the area you are targeting and look at what comes back. Sort the terms into local and non-local, then match each to a format: map-led queries need a complete business profile and a location page, informational queries need a guide, mixed ones need both.
Feed the same split into paid campaigns, tightening the radius where intent is strongest and widening it where the query is really research. The near me search entry covers the implicit case in detail, and the sorting itself belongs in keyword research, before anything gets written.