SEO + GEO tools in your AI editor: scan as ChatGPT and Google crawlers see it, fix order, llms.txt.
Scored across 4 tools
Each tool addresses a distinct concern: scanning the site, prioritizing fixes, generating an llms.txt file, and checking AI visibility. There is no meaningful overlap between any two tools.
All tools follow the same growthr_ prefix with a clear verb/noun pattern: scan, fix_order, llms_txt, ai_visibility. The naming is uniform and predictable, making the intended action obvious.
Four tools is on the smaller side but well-suited to a focused SEO/GEO audit workflow. Each tool has a clear role and the count feels intentionally scoped rather than incomplete.
The set covers a complete pipeline: audit (scan), prioritize (fix_order), generate output (llms_txt), and measure AI presence (ai_visibility). Minor missing features like link analysis or backlinks exist, but the core workflow is fully functional.
Run one buyer-shaped prompt through Gemini with Google Search grounding (a real, cited web search, the same mechanism behind Google AI Overviews) and report where the brand lands on the five-rung ladder: absent, cited (a page of the brand's site is a source), mentioned (named in the text), recommended (on the shortlist), or recommended against. Also returns the other names on the shortlist and the source domains the answer was built from. One prompt per call; limited to a few calls per day per user because grounded requests are billed per query.
Inputs: brand (required), prompt (required), domain. Returns: rung, cited, engine, against, +5 more
Run the scan and sort every failed check into buckets: blockers (fix before anything else, they hide everything downstream), this afternoon (metadata, llms.txt, trust pages, on-page), needs a sprint (schema, markdown negotiation, speed), and the off-site work no scan can measure (reviews, directories, third-party mentions), which is what decides whether AI engines recommend a business.
Inputs: domain (required). Returns: other, score, domain, sprint, +2 more
Read a site's homepage, sitemap (or homepage links), and up to twelve pages, then draft an llms.txt in the llmstxt.org format: H1 name, blockquote summary, grouped page list with one-line descriptions, contact, profiles, links. The 'When to use' section is left as a marked placeholder on purpose; it is a judgment about the business that no crawler can write. Returns the draft plus notes on anything skipped.
Inputs: domain (required). Returns: notes, pages, domain, llmsTxt
Fetch a public domain the way search engines and AI crawlers do (ChatGPT's GPTBot, Claude's ClaudeBot, and the fetchers behind Perplexity and Google AI Overviews: from a datacenter IP, no JavaScript) and run 22 weighted checks: reachability as a browser, GPTBot, and ClaudeBot; server-rendered content; metadata; strict JSON-LD and Organization schema; robots.txt access for AI crawlers; llms.txt and an in-page link to it; sitemap; honest 404s; markdown negotiation; trust pages; speed; and on-page SEO (title, description, single h1, viewport, alt text, favicon). Returns a 0-100 score and every check with pass/fail, what was found, and a fix hint. Reads about a dozen public URLs once. Growthr logs the domain and tool name for usage stats.
Inputs: domain (required). Returns: score, checks, domain, throttledCount
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SEO, GEO & AI Visibility — research, write, optimize, publish & monitor content. 121 tools.
Run SEO + AI-visibility (GEO) audits from Claude, Cursor & other AI clients.
SEO & GEO data: keywords, live SERPs with AI Overviews, backlinks, site audits, rank tracking.
AI SEO, GEO and AI visibility: keywords, competitors, backlinks, articles and Search Console data.
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