SERP, headings, keyword research, AI generation
It pulls Google's first 20 results for your target keyword, scrapes the competing pages and extracts their heading hierarchies, word counts and semantic terms. On Turkish result pages, marketplace domains such as Sahibinden, n11 and Hepsiburada are excluded from the analysis. Everything the heading and term recommendations rest on comes from this data.
It generates heading suggestions from the SERP data and scores each one against the average of the competitors ranking for that search, so the score is competitor-relative rather than an absolute threshold. You can take a suggestion as it is or edit it into your own. The heading you pick carries fifteen percent of the content score.
The engine extracts semantically related terms and related headings from competitor content, then classifies each term as BASIC, EXTENDED or RARE according to how widely it spreads across those competitors. On Turkish text, matching runs through İ→i and I→ı normalisation first. The list both feeds generation and determines your term coverage score.
Content Designer has four steps: brief, draft heading structure, verified facts and generation. In the third step you enter your own sources, and generation treats them as the reference. The word-count target is derived from the median of the competitors rather than the mean, so one very long page cannot distort it. You edit the result in the editor.
The score runs from 0 to 100 and has four components: heading fifteen percent, heading hierarchy twenty-five percent, term coverage thirty-five percent and word count twenty-five percent. Each component is measured against the competitors ranking for that search rather than an absolute threshold. You see the breakdown live in the editor.
Once your article is ready, click 'Generate Meta Tags' in the editor; a meta title and description are produced from the content and kept within the length limits so search results do not truncate them. You can edit the result, then copy it into your content management system. The operation spends content credits and can be repeated.
Select a passage in the editor and click the AI button in the menu that appears; rewrite, summarize, explain and expand are offered. The assistant works only on the text you selected and never touches the rest of the article. If you dislike the result you can undo it and return to the original in one step.
Analysis and generation follow the language and country you chose in your query. The measurement layer is written separately for Turkish: readability uses the Ateşman formula, syllables are counted from vowels and passive voice is detected from Turkish suffix patterns. The interface itself is available in both Turkish and English.
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