How to Find What Keywords a Website Is Using
By the SEO Health Team · Last updated: 2026-08-16 · We build the SEO Health checker at aimeetup.center. Methods below come from the product’s page audits, sitemap samples, and GSC export math — not from a claimed Google score.
Table of Contents
- TL;DR
- Two lists you must not mix
- How to read tokens on a page you control
- How to read queries in Search Console
- What you cannot do from a competitor URL
- Implementation order
- Failure modes
- Frequently Asked Questions
- Conclusion
TL;DR
Direct answer: How to find what keywords a website is using is a two-list method: tokens already written on a URL you control, then queries that already impressed in Search Console. It is not a crawl of a competitor keyword database.
What you'll learn
- A 46-word definition of how to find what keywords a website is using you can quote
- How to read title, H1, density, and named entities on one page
- How to read Search Console queries that already impress
- Why a competitor homepage is not a ranking database
- When density and GSC disagree, and which list to trust
If you own the URL, run a free page check for on-page tokens, then open GSC analysis on the export. Do not buy a “competitor keywords” crawl we do not run.
Two lists you must not mix
Key Definition: How to find what keywords a website is using is a two-list method: tokens already written on a URL you control, then queries that already impressed in Search Console. It is not a crawl of a competitor keyword database, and it does not invent difficulty scores.
Quick answer: How to find what keywords a website is using is a two-list method: tokens already written on a URL you control, then queries that already impressed in Search Console. It is not a crawl of a competitor keyword database. Key terms
| Term | Meaning |
|---|---|
| Title link | The document title a search feature may rewrite. |
| Traffic light | Green / amber / red per module instead of one vanity 100. |
| On-page token | A phrase the HTML already repeats. |
| GSC query | A phrase that already impressed, taken from the export this page uses. (#584) |
People type how to find what keywords a website is using when they want a list. They usually want one of two lists and say the phrase as if it were one. List A is wording on the page. List B is queries that already showed the page. Mixing them is how you stuff a title with a head term the URL already ranks beside.
A useful answer to how to find what keywords a website is using names the list before it names the tokens. If you do not own the site, you can only read visible copy. If you own the site, you can read copy and Search Console. We do not sell the third list: a scraped competitor keyword index.
Key definition, applied
The unit of work is one URL you can edit, plus the Search Console rows for that URL if you have them. Software can count repeated phrases. A person still has to pick one primary phrase. Write the findings as list, phrase, and next edit. If you cannot name the edit, how to find what keywords a website is using is not finished.
On-page wording versus queries
On-page wording is what you promised. Queries are what people typed. Keyword strategy is how you choose which query deserves the URL. How to find what keywords a website is using is only the inventory step: what is already on the page, and what already impressed.
The eight-module pass that turns that inventory into edits lives in onpage SEO analysis. The tool frame is On Page SEO Tool. Do not skip the inventory and jump to a difficulty score we do not have.
We count tokens on pages we paste into the web form, and we read GSC exports in the browser. The notes below come from those runs, not from a claimed keyword database.
How to read tokens on a page you control
Walk the page in this order so you see the promise before the repeats. How to find what keywords a website is using on a URL you own starts in the head, not in a word cloud.
| Order | Place | Pass when | Fail when |
|---|---|---|---|
| 1 | Title and H1 | One primary phrase, intent-true | Empty, duplicated, or three competing phrases |
| 2 | First definition | The phrase appears in a readable sentence | The phrase is only in the title |
| 3 | Repeated phrases | A band a human can stand | Stuffing, or a page that never states the topic |
| 4 | Entities | Named product, person, or standard | Pronouns only |
Title, H1, and the first definition
Read the document title and the H1 as the promise. If they disagree, the page is already split. How to find what keywords a website is using at this step is a read, not a rewrite. Write down the phrase the title claims. Write down the phrase the H1 claims. If they differ, pick one before you touch density.
Then read the first definition block. A page that never uses the phrase in a sentence is not “under-optimized.” It is unfinished. A page that uses three phrases in the first paragraph is not “comprehensive.” It is undecided. That read is still how to find what keywords a website is using on a page you control.
Repeated phrases and density
Density is a band, not a quota. For a short primary phrase we treat roughly 1.2–1.8% as a writing check. For a long phrase, the same idea holds: state the topic, do not chant it. Tf–idf is the classic way to see which terms are distinctive on a document versus a collection. Use it as vocabulary, not as a ranking lever we pretend to own.
scikit-learn’s feature-extraction docs show how a tokenizer turns a page into counts. That is enough math for how to find what keywords a website is using on a page you control: count, then read. A checker that says “add the phrase twelve more times” is stuffing advice wearing a counter. How to find what keywords a website is using at the density row is a count, then a judgment, not a quota.
Entities a parser can name
Repeated nouns are not the only inventory. Named entities tell you what the page is about when the primary phrase is long. NLTK is a practical starting kit for tokenizing English text. Stanford NER is the classic named-entity tagger people still mean when they say “extract the orgs and people.”
How to find what keywords a website is using includes those names. If the page never says the product, the standard, or the city, the token list is adjectives. Write the names. Then re-count.
After you have the on-page list, re-run the free page check so density and headings update against the live HTML. Do not export a cloud and close the tab.
How to read queries in Search Console
List B is not a guess. Google’s Search Console starter guide is how you get into the property. The Search Console help on filtering Performance data is where queries, pages, impressions, clicks, and position get sliced into a usable list.
How to find what keywords a website is using in Search Console means: export the query rows for one URL, or for the site, and read what already impressed. We do that math in the browser. We do not invent volume for queries Google did not show you. That export is how to find what keywords a website is using when you own the property.
Performance export, not a guess
Export the rows. Keep query, page, impressions, clicks, and position. Sort by impressions first, not by a difficulty column that is not in the file. How to find what keywords a website is using from this file is a read of your own search data. It is not a forecast.
If the same query impresses on two URLs, you have a mapping problem, not a density problem. Pick one URL. Leave the other phrase alone.
Queries that already impress
High impressions and low clicks is a snippet or intent miss. Position 8–15 with rising impressions is a near-win. A query that never appears is not “a gap we found in a competitor crawl.” It is a query you do not have evidence for.
How to find what keywords a website is using from GSC will often disagree with the on-page list. Trust GSC for opportunity. Trust the page for what you already promised. Do not paste a head term into a URL that already ranks for a tighter query.
What you cannot do from a competitor URL
This is the honest boundary. How to find what keywords a website is using on a site you do not own stops at visible copy. We do not crawl a competitor keyword database. We do not sell a commercial ranking index. If a vendor promises that from a homepage paste, they are selling a crawl we will not pretend to have.
Visible copy is not a keyword database
You can open a competitor URL and read the title, the H1, the first definition, and the repeated phrases. That is a page read. It tells you what they promised. It does not tell you which queries Google showed them, what they rank for, or what they lost. An SEO URL checker can tell you whether that competitor URL even fetches. It cannot tell you their query report. How to find what keywords a website is using on a rival page stops there.
Why we refuse a crawl-the-web promise
A ranking database is a different product. We do not run one. How to find what keywords a website is using in this pillar is inventory you can defend: your HTML, your GSC export. If you need a commercial crawl, buy that crawl from a suite and still verify the winners in Search Console. Do not ask a page checker to impersonate a crawler.
Open GSC analysis on the export you actually have. Then edit the URL you own. That is the whole honest loop.
Implementation order
Use this sequence so how to find what keywords a website is using stays two lists.
- Confirm you own the URL, or admit you are only reading visible copy.
- Read title, H1, and the first definition. Write the promised phrase.
- Count repeated phrases and named entities. Stay inside a readable band.
- If you own the property, export Search Console queries for that URL.
- Compare the two lists. Pick one primary phrase. Do not merge them into a stuffed title.
- Edit. Re-check the page. Re-read the next GSC window.
If step 6 does not change the HTML, you ran a report, not a method. How to find what keywords a website is using ends when the URL states one phrase and the export explains why.
Failure modes
These are inventory failures, not model-reliability failures.
- Treating density as Search Console. You count tokens and call them “keywords the site is using in search.” They are keywords the author typed. How to find what keywords a website is using has to name which list you are holding.
- Competitor-database theater. You paste a rival homepage and expect a ranking report. Visible copy is not their GSC. We will not invent it.
- Three primary phrases on one URL. The title, H1, and first paragraph each pick a different head term. The inventory was fine. The decision was not. Map one phrase per URL.
None of these are “the model was unreliable.” They are page and data failures. Fix the list, then the page.
Frequently Asked Questions
Can I see a competitor's ranking keywords?
Bottom line: how to find what keywords a website is using: Not from a page paste, and not from us. You can read their visible copy. You cannot download their Search Console. Anyone who sells that from a homepage is selling a crawl, not a checker.
Is density the same as Search Console queries?
Bottom line: No. Density is what you wrote. Search Console is what impressed. How to find what keywords a website is using needs both when you own the URL, and only the first when you do not.
Do I need a linguistics toolkit?
Bottom line: No. Title, H1, a definition sentence, and a repeated-phrase count are enough to start. NLTK, a vectorizer, or a NER tagger help when you want names, not when you want a primary phrase.
What if Search Console and the page disagree?
Bottom line: Trust Search Console for opportunity. Trust the page for the promise you already made. Change the page only when you are ready to change the promise.
How many primary phrases per URL?
Bottom line: One. Secondary phrases can appear as sections. A third primary is how two URLs start to cannibalize. Mapping that choice is keyword-strategy work, not a longer word cloud.
Conclusion
How to find what keywords a website is using is an inventory, not a crawl. Read the page you control. Read the Search Console rows you own. Refuse a competitor keyword database we do not have. Start with a free page check, then read the GSC export. For the eight-module pass around the same URL, stay on On Page SEO Tool.
About the author — SEO Health Team. Reviewer: William Zhu (GitHub). Published and updated 2026-08-16. Credentials appear only here.