A domain's best-performing pages
domain_top_pages is a $0.20 GET request on the Wuthering AI API. Find which pages on a site actually earn its search traffic. It answers complete JSON, and a call that fails is not charged.
Endpoint
GET /v1/domain_top_pages
Price per successful call
$0.20
Failed calls
Not charged
curl 'https://wutheringai.com/v1/domain_top_pages?target=…&token=YOUR_TOKEN'
What does domain_top_pages return, and when should you call it?
Return the pages on a domain that attract the most organic search traffic, with per-page keyword counts and traffic value.
Shows where a site's search value is concentrated, which is often a handful of pages nobody internally considers important.
Returns: page_address, plus organic metrics including count, etv, and position buckets.
Use to find what content actually works for a competitor before copying their strategy. Don't use for keyword-level detail.
What parameters does domain_top_pages take?
domain_top_pages accepts 4 parameters, of which 1 is required. Array values are comma-separated on the query string.
| Parameter | Type | Required | Description |
|---|---|---|---|
| target | string | yes | Domain to analyse, without protocol or path, for example 'example.com'. Works on your own site as readily as a competitor's. |
| location_code | number | no | Numeric location code to scope results to. Defaults to 2840 (United States). Search volume and competition vary sharply by country, so set this when the question is about a specific market.Defaults to 2840 |
| language_code | string | no | ISO language code for results, for example 'en' or 'de'. Defaults to 'en'.Defaults to en |
| limit | number | no | Maximum rows to return (1 to 1000, default 100). Ask for the fewest that answer the question: every row is billed and spends the caller's context.Defaults to 100 |
Which playbooks call domain_top_pages?
4 of the research playbooks name domain_top_pages in their method. Each is free to read and says where in the sequence the call belongs.
- Where is the unoccupied position in this category?Map the category around one domain as an idea maze — the forks it has already run, who took each branch, which walls are still walls and which have moved — then return the one open position with the offer that takes it: buyer, bundle, price metric and message, decided together.
- Who are we really up against?Work April Dunford's positioning sequence from public evidence: the alternatives a prospect would actually use, what only you do, the value that follows, who cares most, and the category that makes all of it obvious.
- Where do the next 1,000 customers come from?Score every plausible channel against the product's own characteristics, measure the reachable demand and the cost of entry for each, and commit to one with its CAC and its ceiling stated.
- Is this company actually growing?Read one company's trajectory from public evidence: branded demand year over year, the acquisition engine underneath it, whether that demand was earned or bought, and what payroll says ships next — then name the questions only a data room can close.
Reference for domain_top_pages · last updated · published by Wuthering AI