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Preview any web page as an LLM would see it — fetch with custom Accept headers, block cookies, storage, and JavaScript. Preview any web page the way an AI language model sees it. The web is changing. AI agents and LLMs don't browse like humans — they request structured data, often preferring markdown over HTML. Many websites now serve entirely different content depending on the Accept header or User-Agent string. This extension lets you see exactly what an LLM receives when it visits your page. Re-fetch the current page with a customizable Accept header and User-Agent (presets for ChatGPT, Claude, Google-Extended, PerplexityBot, or any custom string). The response replaces the current tab with a clean, readable markdown view featuring syntax-highlighted code blocks and clickable links. Click any link and the extension re-fetches it with the same settings, letting you browse an entire site as an LLM would. Add custom request headers for accessing protected environments — for example, Vercel deployment protection bypass. Headers are saved per-site and can optionally be injected into all requests to that domain, not just the extension's fetch. YAML frontmatter blocks are parsed and displayed as styled cards with image preview, title, and metadata. Toggle between rendered markdown and raw text output at any time. Per-site controls let you block cookies, JavaScript, localStorage, and sessionStorage to simulate how a stateless AI agent experiences your content. All settings persist per domain. Built with Manifest V3, no external network requests, no data collection. All libraries are bundled locally. Lightweight at under 80KB total.
Apr 14, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.