Paste any URL — see the search intent Google & AI engines will infer, the keywords your page targets, and the questions it answers.
Weighted by position — words in the title and H1 score higher than body text. This is roughly how Google ranks the importance of words on your page.
AI engines like ChatGPT, Perplexity, and Claude pull these to cite as direct answers. The more clear questions your page covers, the more AI-engine visibility you get.
Google ranks pages based on what the visitor wants to do. If your page is selling something but Google thinks it's an article, you'll lose to actual product pages. If your page is teaching but Google thinks it's a buy page, the wrong audience finds it.
This tool reads the same things they do, in the same priority:
@type: Product = transactional, period./blog/ = informational, /cart/ = transactional.Words in the title carry roughly 12× more weight than body text. H1 is 8×. H2 is 4×. This is how search engines decide what your page is "primarily about". The top keywords you see here are the ones Google's index will associate with this URL.
AI answer engines extract Q&A patterns and cite them directly in answers. Pages with multiple clearly-phrased questions (especially as H2/H3 headings) get cited far more often than pages without. If your page has no questions, it's almost invisible to ChatGPT/Perplexity.
Search intent is a long-established framework. Below are the standard definitions, the on-page signals each type tends to use, and authoritative references to back them up.
The visitor wants to learn or understand something. They're not buying yet, they're researching. Examples: "how does HSTS work", "what is dropshipping", "best practices for API design".
On-page signals: Article / BlogPosting / HowTo / FAQ schema, "how to" / "what is" / "guide" titles, /blog/ or /docs/ URL paths, byline + publication date.
Sources: Google Search Central — SEO Starter Guide · Schema.org: Article · Moz: Search Intent
The visitor is comparing options before they buy. They've decided they want a thing — now they're picking which one. Examples: "best CRM for small business 2026", "Notion vs Obsidian", "Stripe alternatives".
On-page signals: Review / AggregateRating schema, "best X" / "X vs Y" / "top N" / "reviews" titles, /reviews/ or /comparisons/ URLs, comparison tables.
Sources: Schema.org: Review · Google: Review Snippet rich results · Ahrefs: The Definitive Guide to Search Intent
The visitor is ready to take action. Buy, sign up, book, download, subscribe. Examples: "buy Sony WH-1000XM5", "Notion pricing", "rent car SFO airport".
On-page signals: Product / Offer / SoftwareApplication schema, visible price ($/€/£), "Buy now" / "Add to cart" CTAs, /products/ or /pricing/ or /checkout/ URLs.
Sources: Schema.org: Product · Google: Product structured data · Semrush: Search Intent
The visitor knows the brand or page they want. They're using search to navigate, not discover. Examples: "facebook login", "anthropic careers", "stripe docs".
On-page signals: Organization / AboutPage / ContactPage schema, brand name in title/H1, conventional URLs (/, /about, /contact, /careers).
Sources: Schema.org: Organization · Google: Organization logo · Backlinko: Search Intent
The four-intent model traces back to Andrei Broder's 2002 paper "A Taxonomy of Web Search" (Google Research), which originally proposed three (informational, navigational, transactional). The "commercial investigation" category was added later by the SEO industry, particularly Moz, to capture the comparison-shopping behavior that bridges research and purchase.