Analyze your title tags, meta descriptions, Open Graph, and Twitter Cards to make sure AI search engines understand and present your content correctly.
Large language models and AI-powered search engines like ChatGPT, Perplexity, and Gemini rely on meta tags to quickly understand what a page is about. Your title tag and meta description are often the first signals an AI crawler processes when deciding whether to cite your content. Open Graph tags (og:title, og:description, og:image) and Twitter Card tags provide structured social previews that AI engines also consume for context. When these tags are missing, duplicated, or poorly written, AI models may misrepresent your brand, skip your page entirely, or generate inaccurate summaries. Properly crafted meta tags give you control over how AI sees and describes your site — they are the simplest lever you can pull to improve LLM visibility.
We verify that your page has a unique title tag and meta description within the recommended character limits. Missing or truncated tags reduce your chances of being cited by AI engines.
We check for og:title, og:description, and og:image to ensure social and AI previews render correctly. These tags tell LLMs exactly how you want your content presented.
We validate twitter:card, twitter:title, and twitter:description. These tags provide an additional structured layer that AI crawlers use to understand your content beyond the basics.
We detect missing required tags and flag duplicates that confuse both search engines and AI models. Each issue comes with a concrete fix you can implement immediately.
AI search engines primarily use the title tag and meta description to understand page content. They also parse Open Graph tags (og:title, og:description, og:image) and Twitter Card tags for additional context. Together, these signals help AI models decide whether to cite your page and how to summarize it.
Open Graph tags provide structured metadata that AI crawlers can process faster than parsing raw page content. When og:title and og:description are present, LLMs use them as a reliable summary of the page. Missing OG tags force AI models to guess your content's purpose, which often leads to inaccurate citations.
Keep your meta description between 120 and 160 characters. AI models, like traditional search engines, may truncate longer descriptions. A concise, keyword-rich description helps LLMs generate accurate summaries and increases your chances of being cited in AI-generated answers.
Yes. Twitter Card tags (twitter:title, twitter:description, twitter:image) provide an additional structured data layer. AI crawlers that index social previews use these tags to cross-reference and validate the information in your Open Graph and standard meta tags.
When you enter a URL, LLCrawler fetches the page, parses the HTML head, and extracts all meta tags including title, description, Open Graph, and Twitter Card tags. We validate each tag against best practices, flag missing or duplicate entries, check character lengths, and provide prioritized, actionable fixes in your report.
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