LLM Viewer Autor: snipKI
See any page as GPTBot, ClaudeBot and PerplexityBot see it: no JavaScript, no cookies. One click, in the sidebar.
Metadáta rozšírenia
O tomto rozšírení
See any page exactly the way ChatGPT, Claude, Perplexity and Google AI see it — in one click.
Your page looks perfect in your browser. That is not the page an AI model reads. Almost every AI crawler downloads your raw HTML and never runs your JavaScript, arrives without cookies, and gets whatever your CDN decides to hand it. If your pricing, your specs or your FAQ arrive after hydration, they do not exist for the model — and you have no way of knowing from a normal browser window.
LLM Viewer shows you the difference. Open a page, open the sidebar, pick a bot. The sidebar reports what that crawler received, and the tab itself reloads as that crawler — real User-Agent, cookies stripped, JavaScript switched off — so you are looking at the actual crawler view, not a description of it.
WHAT YOU GET
• THE AI'S VIEW — your page as Markdown and plain text: the exact token stream the model reads. The "so THAT is what it sees" moment.
• INVISIBLE CONTENT — text that is on your screen but missing from what the bot downloaded, listed block by block. Anything important in that list is a bug.
• WHAT TO FIX — every problem in a plain-English sentence with a concrete fix. No jargon, no score you have to interpret.
• ALL BOTS AT ONCE — one row per crawler: HTTP status, robots.txt verdict, bytes, words. A firewall rule that blocks GPTBot but lets Googlebot through becomes obvious in one glance.
• ROBOTS.TXT, DECIDED PROPERLY — parsed per RFC 9309 for that bot's own token, showing you the exact matching rule. Longest matching group, longest matching path, Allow wins ties, * and $ wildcards.
• STRUCTURE — heading outline, JSON-LD validity, alt text, link text, word and token count.
• A SCORE AND A GRADE — a diagnostic you can put in a ticket, not a ranking factor.
Your page looks perfect in your browser. That is not the page an AI model reads. Almost every AI crawler downloads your raw HTML and never runs your JavaScript, arrives without cookies, and gets whatever your CDN decides to hand it. If your pricing, your specs or your FAQ arrive after hydration, they do not exist for the model — and you have no way of knowing from a normal browser window.
LLM Viewer shows you the difference. Open a page, open the sidebar, pick a bot. The sidebar reports what that crawler received, and the tab itself reloads as that crawler — real User-Agent, cookies stripped, JavaScript switched off — so you are looking at the actual crawler view, not a description of it.
WHAT YOU GET
• THE AI'S VIEW — your page as Markdown and plain text: the exact token stream the model reads. The "so THAT is what it sees" moment.
• INVISIBLE CONTENT — text that is on your screen but missing from what the bot downloaded, listed block by block. Anything important in that list is a bug.
• WHAT TO FIX — every problem in a plain-English sentence with a concrete fix. No jargon, no score you have to interpret.
• ALL BOTS AT ONCE — one row per crawler: HTTP status, robots.txt verdict, bytes, words. A firewall rule that blocks GPTBot but lets Googlebot through becomes obvious in one glance.
• ROBOTS.TXT, DECIDED PROPERLY — parsed per RFC 9309 for that bot's own token, showing you the exact matching rule. Longest matching group, longest matching path, Allow wins ties, * and $ wildcards.
• STRUCTURE — heading outline, JSON-LD validity, alt text, link text, word and token count.
• A SCORE AND A GRADE — a diagnostic you can put in a ticket, not a ranking factor.
Hodnotené 0 od 0 recenzentov
Povolenia a údaje
Požadované oprávnenia:
- Vkladať údaje do schránky
Voliteľné povolenia:
- Pristupovať k údajom pre všetky webové stránky
Zber údajov:
- Vývojár uvádza, že toto rozšírenie nevyžaduje zhromažďovanie údajov.
Ďalšie informácie
- Odkazy doplnku
- Verzia
- 1.0.0
- Veľkosť
- 51,16 kB
- Posledná aktualizácia
- pred 5 dňami (24. aug 2026)
- Príbuzné kategórie
- Licencia
- Mozilla Public License 2.0
- História verzií
- Pridať do kolekcie