SERP Title Generator

Features

• DataForSEO SERP API fetching with estimated cost shown per search
• Analyses the first delimiter-separated segment of each title (- and | normalised)
• NLTK English stopwords filtering
• Positional word frequency analysis
• Duplicate title removal
• 10 regions including UK, US, Australia, Germany, France, Canada

How to use

1. 1 Enter DataForSEO login and password in sidebar
2. 2 Input product code or keyword
3. 3 Select search location and device type
4. 4 Set number of results (10-50)
5. 5 Click to analyse SERP titles
6. 6 Review word frequencies and suggested title
7. 7 Download CSV with title data

Frequently asked questions

How is the suggested title actually built?

By positional voting. Each cleaned SERP title is split into word positions, the most common word at each position is picked, duplicates are removed in order, and the result is title-cased. It is a pattern summary of what ranks, not a grammatical title, so treat it as a starting point to edit rather than copy in directly.

Does it analyse the whole of each competitor title?

No. Titles are normalised on ' - ' and ' | ' delimiters and only the first segment is kept, which strips brand suffixes like '| Amazon' but also discards anything a competitor puts after their first delimiter. Duplicate first segments are dropped, and apostrophes, commas, full stops and English stopwords are removed before counting.

What does each analysis cost?

One DataForSEO request per click of the generate button, with the number of results sent as the depth parameter. The sidebar shows the estimated cost before you run, calculated at $0.002 per 10 results, so analysing 50 results is estimated at $0.010.

Does it work for non-English markets?

Partially. Ten regions including Germany, France, Spain, Italy and the Netherlands are supported for the search itself via DataForSEO country location codes, but the request always uses the English language code and stopword filtering always uses the NLTK English list. German or French function words are not removed, so frequency tables for those markets contain more noise.

Why is a word missing from the frequency table?

The table only includes words appearing more than once across the analysed titles, so any word unique to a single competitor title is excluded. The full extracted title list is still viewable in the expander and downloadable as CSV if you want the raw data.