Write for Google rankings and AI citations, in the same draft
Research-backed articles structured for both traditional SEO and answer-engine optimization.
The problem
Traffic is splitting between Google and AI answer engines
A growing share of searches never reach a results page at all, they get answered inside ChatGPT, Perplexity, or an AI Overview.
Manual competitor research is slow
Finding content gaps across the top 10 ranking pages for a keyword takes real time to do properly.
Generic AI drafts read robotic and rank poorly
Thin, generic AI content is easy for both readers and search algorithms to spot.
How Realword helps
Built-in AEO structuring
Articles are structured with the entity co-occurrence, FAQ schema, and clear headings that AI answer engines look for when selecting citations.
Live competitor and content-gap research
Every article starts with real research into what is already ranking, so you are not guessing at coverage gaps.
Humanized, fact-checked drafts
Sourced statistics and a humanizing pass mean drafts read like a subject-matter expert wrote them, not a generic AI template.
Frequently asked questions
Does Realword optimize for AI Overviews and AI chatbots, not just Google?
Yes, articles are structured for entity co-occurrence, FAQ schema, and clear answer formatting, the signals AI search engines like ChatGPT, Gemini, and Perplexity weigh when citing sources.
Can I set a specific target word count and keyword?
Yes, you can target any word count between 500 and 5,000 words with a strict tolerance, along with your primary keyword and internal links.
Is the schema.org markup handled automatically?
Yes, articles ship with BlogPosting, FAQPage, and other relevant schema.org JSON-LD generated automatically based on your content structure.
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