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Web texts with Jasper AI

Web texts with Jasper AI

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 Summary: - The episode introduces Web Copy with Jasper AI as a versatile tool for creating SEO-friendly, on-brand web content (landing pages, product descriptions, blog posts, headlines, meta descriptions) using templates, editing features, and keyword suggestions. - A practical five-step plan is shared: define the page goal and audience; choose main and secondary keywords with search intent in mind; use Jasper templates appropriate to the text type; generate 2–3 drafts and refine with human tweaks; then optimize technically for SEO (headings, paragraph length, meta descriptions, and calls to action). - Highlights include adapting content to brand voice by testing different tones, and using voice search optimization with clear FAQ-style blocks to improve snippets and conversational queries. - A quick product-page recipe is provided: compelling headline with benefit and keyword, problem–solution opening, features with benefits, social proof, strong CTA, and a persuasive meta description with keywords; Jasper helps assemble these pieces into a coherent conversion funnel. - The episode emphasizes natural keyword usage (avoid forced density; target 1–2 occurrences per 150–200 words with synonyms) and the importance of human input, testing, and analytics to elevate drafts. - It notes broader context, including hosting options (Hostinger) and the goal of creating content that educates and converts rather than merely repeating ads, with a call to publish confidently and quickly. - The closing invites listeners to subscribe, provide feedback, and contact the presenter for further questions. Remeber you can contact me at andresdiaz@bestmanagement.org
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