Nina launches four free tools to check AI visibility

Nina rolled out four free tools in late October and early November to help small and midsize businesses see whether AI search systems can reach, read and quote their websites. The launch comes as more buyers turn to ChatGPT, Perplexity and Google’s AI answers instead of traditional search results.

Why it matters: - Small and midsize businesses now need to know whether AI search systems can access and understand their websites. - The tools give marketers and founders a fast baseline for which pages and posts are ready for AI answers and which need work first. - Nina made the tools free because many owners cannot tell whether AI systems can even read their site.

What happened: - Nina launched four free tools between Oct. 28 and Nov. 3 under the Resources menu at Nina’s resources page. - Wesley Donahoe, Nina co-founder, said the first check should be whether crawlers can get into a site. - Donahoe said polishing blog posts will not help if bots cannot access the site. - Donahoe is available to walk reporters, marketing managers and founders through the tools on a live site.

The details: - Visibility Check launched Oct. 28 and gives a short quiz and report showing how a brand appears in AI answers versus competitors. - AI Crawler Check launched Oct. 30 and tests whether nine AI and search crawlers can reach a site, including crawlers behind ChatGPT, Claude, Perplexity and Google, plus Common Crawl. - AI Crawler Check also generates an llms.txt file. - Blog Post Grader launched Nov. 2 and scores a post out of 100 on 14 checks. - Blog Post Grader reviews whether a post answers the question in the first paragraph, uses sections that stand on their own, includes specific facts, cited sources, a named author, dates and schema. - Blog Post Grader can grade one post, a whole blog or an unpublished draft. - Blog Post Grader can compare two posts and show how a post ranks against a benchmark. - Site Page Check launched Nov. 3 and grades home, about, product, collection, service and location pages. - Site Page Check uses a separate rubric for each page type. - The crawler check and the graders run on fixed rules rather than AI model calls.

Between the lines: - Nina is framing AI visibility as a technical-readiness problem first and a content problem second. - The company is also positioning its tools as a diagnostic layer, not a replacement for human judgment. - Donahoe said a score shows what is missing from a page, not what to write next. - Donahoe said Nina’s strategists and editors use the same checks, but people still decide what a business should say and how it should sound.

What's next: - On Nov. 4, Nina tested the Blog Post Grader on 27 recent blog posts it wrote for nine clients. - Those posts averaged 88 out of 100. - A benchmark of 76 published blog posts from 28 other sites averaged 73. - Nina said the comparison reflects structure against the grader’s checks, not search rankings or AI citations. - Marketing managers and founders can use the tools to set content plans for the year ahead.

The bottom line: - Nina is betting that more businesses will treat AI search visibility like a core website health check, starting with crawlability and page structure before content polish.