struct of integers get_lateral_keyphrases(
        string id,
        array of strings keyphrases,
        boolean include_plurals,
        string adult_filter,
        integer max,
        integer timeout)
		

Parameters

id

The client access key supplied by Wordtracker.

keyphrases

Keyphrases to find alternative suggestions for as a simple list.

include_plurals

If true, your keyphrases will be expanded to include plural forms before they are dispatched to the lateral engine.

adult_filter

The adult filter has four levels which can be set with the following flags:

off

No filtering applied. Adult terms will be included in the results.

remove_dubious

Removes all keywords unsuitable for presentations. This is the most aggressive filter and may occasionally remove clean terms.

remove_offensive

Removes offensive keywords.

adult_only

Only displays adult terms.

The following flags have been deprecated: 'include_adult' and 'exclude_adult'.

This filter is applied to the results before they are returned to you.

max

The maximum number of results returned. A zero means all results. This limit is provided so that you can limit incoming network traffic by reducing the number of less popular keyphrases.

timeout

Number of seconds before cut-off point of page fetching. Please note that this is the time that the Wordtracker system will spend searching for new keyphrases from the net only. Additional time will be spent reading and writing data to the caches and in counting and sorting the collected data. You should set your client timeout to be about 50% higher than this figure to allow for both this and the connection time from your machine to the Wordtracker servers.

Description

The Wordtracker lateral engine can be used to expand a candidate keyphrase set by doing an internet search for related terms. This is often an important first step in building an SEO campaign.

Enter a group of seed keywords and Wordtracker will generate a hash of conceptually related keyphrases. For each incoming keyphrase, Wordtracker will scan the meta tags from approximately one hundred related web pages. The total results are ordered by frequency into a XML-RPC structure with the keys as the meta tags and the values as the frequency. E.g...