Paste any page and this keyword analyzer shows the keyword it actually targets, whether the title, heading and content back it up, and which related keywords it is missing. Connect Google Search Console to add your real ranking data and surface the quick-win keywords you already almost rank for.
Concrete, page-level feedback you can act on, backed by real data, never invented numbers.
It reads your title, heading and content and works out the single keyword the page is built around, so you can confirm it matches what you meant to rank for.
Is the keyword in the title, the H1, the opening paragraph, the meta description? Is the content deep enough, or is the keyword stuffed? Each check comes with the fix.
With Search Console connected, it shows the queries this exact page already gets impressions for at positions 8 to 20: the keywords one push from page one.
From Google Autocomplete, the questions and phrases people type around your keyword that your page does not yet cover, so you know what to add next.
Paste any page URL to get its primary keyword and an on-page score, then optionally connect Google Search Console for real ranking data. Work the keyword into the title, H1 and intro where it is missing, add the related phrases the page lacks, and re-check. Three steps:
Paste the URL and get its primary keyword, an on-page score, and a checklist of what is helping or hurting its ability to rank for that keyword. This works for any public page, no account needed.
Sign in and connect Google Search Console (read-only). Then the analyzer adds your real ranking data for the page: the queries it already appears for, their positions, and the ones worth pushing onto page one.
Work the keyword into the title and H1 where it is missing, add the related phrases the page lacks, and deepen thin content. Then run the full SEO audit to make sure nothing technical holds the page back, and track movement in the rank tracker.
Keyword analysis covers two genuinely different jobs that share a name. One asks what a page you already have is currently about. The other asks what people are searching for. Confusing them is why keyword tools so often produce advice that does not fit the page it is aimed at.
This is an on-page question with a definite answer. Given a URL, what subject does its content actually signal, and does that signal appear where it carries weight: the title, the H1, the opening paragraph, the URL slug, the subheadings. A page can be entirely about one topic in the body while its title says something else, and that mismatch is invisible to whoever wrote it and obvious to a checker.
The useful output here is not a score. It is the specific gap: the target term is missing from the title, or appears once in the last paragraph, or the H1 describes a different subject than the body develops. Those are fixable in minutes and they are the difference between a page that is about a topic and a page that is recognisably about it.
The second job needs data from outside your site, because no amount of reading your own page reveals demand. Autocomplete and related-search data show the phrasings people actually type, which routinely differ from the industry vocabulary a specialist would choose. Search Console adds the queries you are already appearing for, including many you never targeted.
Search Console deserves particular attention because it identifies opportunity that requires no new content. Queries where you rank just below the fold are pages already relevant enough to appear but not quite strong enough to earn the click, and improving an existing page for a query it nearly ranks for is consistently cheaper than writing a new one.
Every keyword tool inherits the limits of its source. Suggestion data reflects what has been typed, so it happily returns competitor brand names, product categories you do not sell, and phrases that merely share a word with your topic while meaning something entirely different. A tool cannot tell that a suggestion refers to a different entity with the same name.
Volume figures deserve similar scepticism: they are modelled estimates rather than counts, they vary between providers for the same term, and they say nothing about whether the searcher wanted to buy, learn or navigate. Intent matters more than volume for deciding what to write, and intent is read from the results a query currently returns rather than from any number a tool reports.
Keyword density had a brief technical justification decades ago and has none now. Writing to hit a percentage produces text that reads as though it were written to hit a percentage, which is a quality signal in the wrong direction.
The questions worth answering instead are structural: does the page cover the subtopics a reader would expect, does it answer the question the query implies, and does the main term appear naturally in the positions that carry weight. A page that does those three things does not need a density check, and a page that fails them is not rescued by one.
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