Extract sitemap URLs, validate crawl inputs, generate metadata, create AI-readable llms.txt files, and check canonical, indexability, robots.txt, and hreflang signals before you hand issues into Searvora Spider Analysis.
Turn a sitemap XML or sitemap index into a clean URL inventory with source sitemap, lastmod, path grouping, duplicate detection, and export-ready rows for crawl planning.
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Check sitemap format, duplicate entries, cross-domain URLs, lastmod hygiene, sample status signals, and the next crawl action before the sitemap becomes a broken input.
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Create title tag candidates that balance target keyword, page type, search intent, brand fit, and SERP readability instead of forcing one generic title template onto every page.
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Generate description candidates that summarize the page promise, match search intent, include the right CTA, and avoid generic copy that could fit any page on the internet.
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Create a concise llms.txt draft that tells AI assistants which public pages matter, what the site offers, and how canonical product, pricing, documentation, and resource pages should be discovered.
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Inspect HTML canonical tags, HTTP Link headers, self-canonical signals, cross-domain targets, and conflicting canonical rules before duplicate pages steal ranking equity.
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Review status, redirects, robots.txt access, meta robots, X-Robots-Tag, and canonical signals so you can explain why a page can or cannot be indexed.
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Create robots.txt rules that communicate crawler access clearly, protect low-value paths, preserve important pages, and link sitemap discovery without blocking the pages you want indexed.
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Create hreflang link tags from manual alternates or URL patterns so localized pages can point search engines to the right language, region, and x-default fallback.
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