How to Search a Website for Keywords (and Prompts): 7 Methods Compared

In this article, you’ll learn seven ways to search any website for keywords, when to use each one, and how to find the prompts a site wins on AI search engines like ChatGPT, Perplexity, Gemini, and Claude. The second part is where the cheapest competitive wins are sitting today.

TL;DR

• Searching a website for keywords helps you find content gaps, copy what works, audit your own coverage, and pressure test your traffic assumptions.

• Site explorer tools (Ahrefs, Semrush) show ranking keywords. Free methods like the site: operator and Keyword Planner are quick checks but don’t show rankings.

• Google Search Console gives ranking keywords for your own site at no cost.

• A site ranks on Google for one set of queries and gets cited in AI answers for a different set. The two lists overlap less than you’d expect.

• Analyze AI shows the prompts a site wins on across ChatGPT, Perplexity, Gemini, Copilot, and Claude, plus the competitors cited in those answers.

• Research keywords and prompts together, not separately.

What “Search a Website for Keywords” Actually Means

When people search a website for keywords, they usually mean one of three things.

1. Find a word on a single page. Ctrl+F territory. Useful for fact checks, broken phrases, or finding a quote.

2. Find every page on a site that mentions a keyword. site: operator or the site’s own search bar.

3. Find the keywords a site ranks for. This requires Ahrefs, Semrush, or Google Search Console, because the data lives outside the site itself.

There is now a fourth lens, which is the set of prompts a site gets cited in by AI engines. That data is not in the site’s HTML, not in Search Console, and not in legacy SEO tools. We’ll get to it after the seven core methods.

Why You Should Bother

A website keyword search is rarely the goal. It’s the input to one of these jobs.

• Find content gaps. A competitor ranks for “saas churn benchmarks” and you don’t. That’s a brief, almost written for you.

• Reverse engineer what’s working. A competitor’s keyword pattern tells you the topical map they built.

• Audit your own coverage. Find pages cannibalizing each other or topics you forgot you wrote about.

• Set up outreach. A niche-relevant site mentioning a keyword close to your category is a backlink or guest post signal.

• Match search intent. The way a top-ranking page uses a keyword tells you the intent Google decided it satisfies.

• Find prompts your competitors win on AI search. If three competitors are cited every time someone asks ChatGPT about your category and you aren’t, that is a separate research job.

The first five are SEO jobs. The sixth is the new one. AI search is not replacing Google. It is becoming an additional organic channel, and the same content that ranks does not always get cited. You research both.

How to Search a Website for Keywords: 7 Methods

These are ordered by power and coverage, not by simplicity. The fastest method is rarely the most useful one.

1. Use a Site Explorer Tool (Ahrefs, Semrush, Moz)

This is the only way to see the keywords a site actually ranks for, with search volume, position, and traffic estimates attached.

How to do it with Ahrefs:

1. Go to Ahrefs Site Explorer.

2. Paste the domain or URL.

3. Click “Organic keywords” in the left sidebar.

4. Sort by traffic to see what is doing the heavy lifting.

How to do it with Semrush:

1. Enter the domain in the top search bar.

2. Click “Organic Research” then “Positions”.

3. Filter by position (1-10) and KD to focus on attainable wins.

This method beats everything else because it shows ranking, not presence. A page can mention “best CRM for small business” once in a footer and rank nowhere. Another can rank #2 for it without the exact phrase appearing on the page.

What it costs. Ahrefs starts at $29/month (Starter), Lite $129, Standard $249. Semrush Pro is $139.95/month, Guru $249.95. Annual billing knocks roughly 17% off both.

The catch. These tools only show Google rankings. They don’t show prompts that surface a site in ChatGPT or Perplexity, even though those answers send real referral traffic.

2. Use Google Search Console (For Your Own Site)

If the site is yours, Google Search Console is free, native, and more accurate than any third-party estimate.

1. Open Search Console and pick your property.

2. Go to “Performance” then “Search results”.

3. Add the “Page” filter, paste the URL, and apply.

4. Switch to the “Queries” tab.

You’ll see every query that page got impressions for in Google over your selected window, with clicks, CTR, and average position. Sort by impressions to find queries you almost rank for. Sort by clicks to find queries already converting visits.

This is the cleanest data you can get because it comes straight from Google. The downside is it only works for sites you own. For competitor research, go back to method 1 or use a free SEO tool like our keyword rank checker or website traffic checker for spot checks.

3. Use Google’s site: Search Operator

The site: operator restricts Google results to a single domain. It is free, fast, and underused.

Basic syntax:

site:domain.com keyword

Examples:

• site:hubspot.com email deliverability returns every HubSpot page mentioning the phrase.

• site:ahrefs.com/blog "keyword research" searches only the Ahrefs blog for the exact phrase.

• site:competitor.com inurl:pricing finds pricing-related URLs.

Operators worth combining.

A practical workflow is to search broad first (site:competitor.com saas), then narrow with intitle: to find the cornerstone pages, then use inurl: to find subfolders you didn’t know existed.

The catch. Google only shows indexed pages, results aren’t ranked by keyword density, and you cannot export. Use this for discovery, not for analysis.

4. Use Google Keyword Planner

Keyword Planner sits inside Google Ads but works for organic research too. It is free and pulls keyword ideas from any URL or domain you give it.

How to do it:

1. Open Google Ads and create a free account if you don’t have one. No credit card required.

2. Go to Tools then Planning then Keyword Planner.

3. Click “Discover new keywords”.

4. Switch to the “Start with a website” tab.

5. Paste the URL. Choose “Use only this page” or the whole site.

6. Hit “Get results”.

You’ll get a list of related keywords with monthly volume bands, competition, and bid estimates. Volume is shown as a range (1K-10K), which is fine for relative sizing.

A pro tip most guides miss is to add a competitor’s URL plus your own URL plus a relevant Wikipedia page as three seeds in the same query. The overlap is your topical core. The non-overlap is where one of you has gone deeper. Pair this with the Keyword Surfer Chrome extension for exact volumes inline.

The catch. These are keywords Google thinks are related to the URL, not necessarily ones the URL ranks for. Cross-reference against method 1 before committing to a brief.

5. View Page Source for Meta and Structured Data

Right-clicking a page and viewing source takes 10 seconds and surfaces signals most tools miss.

How to do it:

1. Open the page.

2. Right-click and select “View page source”, or Ctrl+U on Windows, Cmd+Option+U on Mac.

3. Ctrl+F to search the source.

What to look for.

• <title> for the page’s primary keyword.

• <meta name="description"> for the secondary keywords the author chose.

• <h1>, <h2>, <h3> headings to map the topic structure.

• JSON-LD schema blocks. Look for keywords, about, mentions, and mainEntity fields. This is where structured data tells AI engines what the page is about.

The schema layer matters more than it used to. AI engines lean on structured data to decide what a page is about before deciding to cite it. If a page is getting cited and you can’t figure out why, look at the schema.

The catch. Manual, page by page, no aggregation. Useful for forensic work on a small set of high-value pages.

6. Use the Site’s Own Search Bar

Almost every blog has a search box. It is fast for mapping a competitor’s topical coverage on a single keyword.

Find the search icon, type your keyword, scroll. Note categories, publication dates, and authors.

What you’re really doing is auditing depth of coverage. If a competitor has 14 articles on “content marketing” published over five years by three different authors, that is a topical authority signal worth respecting. If they have one piece from 2019, the door is open.

The catch. Some sites have terrible internal search that only matches titles. If results look thin, fall back to site: operator.

7. Use Ctrl+F on the Page

Press Ctrl+F (Cmd+F on Mac), type the keyword, see how many times and where it appears.

This is useful for confirming a specific term is or isn’t on a page you’re already on. It tells you nothing about ranking, traffic, intent, or coverage. Use it as a fact check, not as research.

Method Comparison Table

How to Find the Prompts a Website Wins on AI Search

Here is the part most teams haven’t built into their workflow yet. Search a competitor’s site for ranking keywords and you find what they win on Google. Run the same competitor through Analyze AI and you find the prompts they win on ChatGPT, Perplexity, Gemini, Copilot, and Claude. The two lists overlap less than you’d expect, and the second list is shorter to attack because the field is less crowded.

AI referrals are still small in absolute terms based on our traffic research, but conversion rates from AI sessions are often higher than Google sessions because the user already has context.

Here is how the workflow runs inside Analyze AI.

See which pages on a site receive AI traffic

Connect Google Analytics 4 once. The AI Traffic Analytics report identifies sessions from chatgpt.com, perplexity.ai, claude.ai, gemini.google.com, and Copilot, and groups them by landing page.

Sort by sessions. The pages at the top tell you what AI engines decided was worth citing. You’ll usually see a heavy skew toward listicles, comparison pages, and definitional explainers, and a near-zero share for thin product pages. If the site is your own, this is where to double down.

Find the prompts where competitors win and you don’t

Go to Competitor Intelligence. Add the brands you want to track. The Opportunities view surfaces prompts where one or more of your competitors are cited and you aren’t.

This is the closest thing AI search has to a Keyword Gap report. Filter by engine to see the prompts your competitors win on Perplexity but not Gemini. Each missed prompt is a content brief or an optimization candidate.

Track specific prompts and watch them over time

For prompts you’ve identified as high value, Prompt Tracking records your visibility, position in the AI response, sentiment, and which competitors share the answer with you, day over day.

Position matters more than people realize. Being mentioned third in an AI answer is closer to ranking #5 in Google than to ranking #1. Track movement, not just presence.

Discover prompts you didn’t think to track

Most teams plateau on the prompts they already imagined. Prompt Discovery surfaces real-world prompts being asked across AI engines in your category, including long-tail variants you wouldn’t generate from a brainstorm.

Pair this with AI Search Explorer to ask any prompt across all engines and see the full citation panel. Click “Track” on the ones worth monitoring.

Look at which sources AI engines cite in your category

Citation Analytics shows the domains AI engines cite most for your tracked prompts. This is the AI search equivalent of running a backlink analysis on a SERP.

If Reddit, G2, and a single industry publication keep showing up while you don’t, you’ve found three earned-media targets. AI engines reward third-party authority signals as much as your own content.

Automate the research loop with Agents

Manual keyword and prompt research is fine once. Doing it weekly across 10 competitors is where teams give up. The Analyze AI Agent Builder is a programmable layer with 180+ workflow nodes, 34 pre-built data recipes, and three trigger types (manual, scheduled, webhook), wired directly into your AI visibility data, GA4, search console, and brand vault.

Concrete examples teams build.

• A scheduled agent that runs every Monday at 7am, pulls competitor citation gaps for the past week, drafts a content brief for each, and drops them in Notion.

• A webhook agent that fires when a prompt’s visibility drops below a threshold and pings Slack with the cited competitors.

• A manual agent that takes a competitor URL, audits their AI visibility, GA4 traffic patterns, and content patterns, and returns a one-pager.

You build the workflow once. It runs every week without anyone remembering to start it. That separates AI search work that compounds from work that gets abandoned in week three.

Beyond Keywords: What Else to Pull From a Site

Once you’re inside a competitor’s site, the marginal cost of extracting more is near zero.

• Original data and statistics. Search site:competitor.com survey or site:competitor.com "we analyzed". AI engines love citing original research.

• Content formats that repeat. If they publish 30 listicles and only 4 thought-leadership pieces, listicles are working.

• Author bylines and bios. Named authors with credentials are easier for AI to cite than anonymous content.

• Internal linking patterns. Pages they internally link to most are pages they care about ranking.

• Schema and FAQ blocks. AI engines pull from FAQ schema heavily. If competitors use it consistently and you don’t, that is a quick fix.

5 Mistakes That Make This Process Useless

1. Confusing presence with ranking. A keyword on a page is not a keyword the page ranks for. Always cross-check with method 1.

2. Skipping search intent. Click the top three results before you write the brief. If they’re all listicles and you’re planning a definition page, you’re going to lose.

3. Treating SEO and AI search as the same job. They overlap, but they don’t match. The page that ranks #1 in Google might not be cited in a single ChatGPT answer.

4. Searching once and moving on. Rankings drift. Citations drift faster. A one-time audit ages out in a quarter. Set up monitoring or skip the audit.

5. Not connecting findings to action. A list of competitor keywords without a content calendar is a spreadsheet. Make every research session end with at least one assigned brief or page update.

Wrapping Up

Searching a website for keywords is the same job it has been for a decade, with one new layer on top. You still need site explorer tools, the site: operator, and Search Console for the Google side. You also need a way to see the prompts and citations driving AI traffic, because Ahrefs and Semrush don’t track it.

The teams winning this next phase are the ones who research keywords and prompts in the same workflow. SEO is not dead. It is gaining a sibling. Treat it that way.

To see the prompts your competitors are winning on across ChatGPT, Perplexity, Gemini, Copilot, and Claude, start a free trial of Analyze AI and connect your GA4 in under five minutes.