# Page level contextual intelligence

Canonical: https://classify.ai/learn/page-level-contextual-intelligence

Page level contextual intelligence describes the subject and context of an
individual webpage. It helps you decide whether that page belongs in a
campaign, a research task or an application.

A website’s name provides useful background. The content at a specific URL
tells you more about what someone is reading.

## A domain can contain many different subjects

A regional publication might have a homepage, a winter driving guide and a
guide to local buses. All three belong to the same website. They serve
different reading needs.

The homepage introduces the area. The winter driving guide addresses road
preparation. The bus guide helps someone understand transportation options.
Treating all three as the same kind of page loses those distinctions.

These are examples of differences in page content, not claims about a
reader’s identity or purchase intent.

## Domain subdomain and URL

| Level     | What it identifies               | What still needs checking            |
|-----------|----------------------------------|--------------------------------------|
| Domain    | The website                      | Subjects covered by each page        |
| Subdomain | A separately addressed site area | Whether its pages share a subject    |
| Full URL  | A particular resource            | Its actual content and current state |

A URL is a useful identifier. Its words alone do not establish the page’s
subject. The page may change, fail to load or contain little usable content.

## For contextual advertising

Page context gives an advertiser more detail than a website-wide label. A
winter driving guide and a public transportation guide may call for different
campaign decisions even when they share a publisher.

The practical question is whether the surrounding content fits the campaign.
Topic relevance does not, by itself, establish who the reader is or guarantee
an advertising result.

The guide to URL classification for contextual advertising covers choosing
placements page by page:
https://classify.ai/learn/url-classification-for-contextual-advertising

## For agent research

An agent needs to connect a finding to its source. Keeping the URL and
readable content alongside any classification makes the result easier to
inspect and use in a research workflow.

A category can help organize pages. It does not replace the source, and a
missing category should not be mistaken for proof that the page has no useful
information.

## What to check in a page classification system

- The exact URL and content used for the result
- Whether the page was successfully read
- The taxonomy and category definitions
- How the system handles uncertain or unmatched pages
- Whether the content or classification has changed
- The source information available for review

Make those distinctions visible in an integration. A successful fetch, a
useful passage and an assigned category are different outcomes.

## Use page context in your work

Explore contextual segments in Classify Atlas, or visit Classify Phoenix to
review developer access and available workflows.

- [Classify Atlas](https://atlas.classify.ai)
- [Classify Phoenix](https://phoenix.classify.ai/)
