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Hypertxt
Search Console-driven SEO and GEO article generation structured for AI-assistant citation
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https://hypertxt.ai
About Hypertxt
Hypertxt writes SEO and GEO articles built from a site's own Google Search Console data rather than from a keyword the user guessed at — it syncs query and page signals, finds the searches the site can realistically win, and drafts publish-ready articles in the brand's voice through a research-brief, outline, draft and review pipeline, with a human approving every draft before it goes live. The GEO half is the part that distinguishes it: output is structured so AI assistants can cite it, with the vendor naming Google AI Overviews, ChatGPT citations, Perplexity answers and Bing as the surfaces it targets alongside conventional Google ranking. Publishing goes out to WordPress, Ghost, custom webhooks or Markdown export. Six free tools sit in front of the product with no signup and no card — a citation-ready content grader that audits answer clarity, evidence, structure, specificity and nuance without requiring an upload; an AI search prompt generator that maps discovery, comparison, problem and trust prompts for a category; and an AI crawler access checker that reviews pasted robots.txt rules against major search, retrieval and AI crawler user agents. The vendor makes a point of not fabricating data: unavailable keyword metrics are left empty rather than invented. Every plan includes the full toolkit with no feature gating — tiers differ only in article, keyword-credit, content-idea and project volume. A bring-your-own-keys option removes the hosted ceiling entirely.
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Alternatives to Hypertxt
View all Hypertxt alternatives →GEOScore
One-minute GEO scanner scoring crawl, content, trust, schema and rank, with a $29 one-time fix package
Agent connectivity: not yet verified