SameDayDesk · Guide/Comparison · June 2026
Short answer: each engine reads your site through a different door. ChatGPT looks through Bing, Perplexity runs its own crawler, Google AI Overviews mostly ignores your organic rank, and Claude reads whatever its retrieval layer fetches live. None of them wait for you to rank #1 on Google.
"Which AI search can read my website?" is really three questions stacked together: what index does the engine use, how fast does it pick up a new page, and does it need you to rank first? Here is the honest version for each of the four engines in 2026.
The unifying truth: live retrieval beats training data. You do not need to wait for the next model to be trained on you. If the engine's retrieval layer can fetch and parse your page today, you are eligible to be cited today. That is why crawler access and clean, server-rendered, structured content matter more than your decade-old domain authority.
About 68% of pages cited in Google AI Overviews were not in the top 10 organic results, and ~87% of SearchGPT citations matched Bing's top 20. Translation: AI visibility is a separate game from Google rank, and Bing is the cheat code for ChatGPT.
Here is the four-engine breakdown across the things that actually decide whether you get cited.
| Engine | Index / crawler | New-page pickup | Depends on organic rank? | What makes it cite you |
|---|---|---|---|---|
| ChatGPT Search | Bing index (also powers Copilot); OAI-SearchBot / GPTBot | Hours–days once in Bing (push via IndexNow) | No — tracks Bing top-20, not Google rank | Be in the Bing index; clear, quotable, server-rendered content |
| Perplexity | Own crawler + index (PerplexityBot) | Days on low-competition queries | No — favors freshness and relevance | Fresh pages, named sources, direct stats it can lift |
| Google AI Overviews | Google index + Google-Extended for AI | Slow for new domains (Google sandbox 3–9 months on commercial queries) | Mostly no — ~68% of cited pages weren't top 10 | Structured, extractable content that answers the query directly |
| Claude | Live retrieval (RAG); ClaudeBot | As fast as the retrieval layer fetches it | No — retrieval is independent of training data | Crawler access (ClaudeBot allowed), clean parseable HTML |
Sources: Seer Interactive / Search Engine Land (Bing-index overlap, Apr 2026); published AI Overviews rank-independence data; SameDayDesk crawler-access benchmark, June 2026.
Run the free browser checker. It scans crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), JSON-LD, titles/meta, Open Graph, sitemap and more, then scores you 0–100 against our 189-company benchmark.
Run the free check Get the $9 AI Readiness KitBeing crawlable is necessary but not sufficient. A page can allow every AI crawler and still get ignored because nothing on it is easy to extract. When we scored 189 well-known companies across 10 industries (0–100) on six fundamentals — AI-crawler access, JSON-LD structured data, title/meta, Open Graph, XML sitemap, and llms.txt — the gaps were surprising.
OpenAI and GitHub both scored a D on their own homepages: JS-heavy, thin server-rendered content. Perplexity — an AI search engine — scored a C. LlamaIndex, whose entire product is making data readable by LLMs, scored a D. And Klarna scored an F (38, the lowest). Ars Technica also scored an F: it allows crawlers but ships no structured data, so there is nothing clean for an engine to lift.
| Industry | Avg score | Industry | Avg score |
|---|---|---|---|
| Marketing agencies | 92 | Fintech | 76 |
| SaaS | 87 | Consumer apps | 68 |
| Dev tools | 86 | News media | 64 |
| E-commerce | 85 | Healthtech | 63 |
| AI startups | 81 | Enterprise | 78 |
Even strong categories have holes. Among 24 SaaS sites we scanned (avg 87), one in three ship no JSON-LD at all — including Notion, Linear, Airtable, Clerk, Cal.com, PostHog and Gumroad. The top tier (A grades) included stripe.com, supabase.com, webflow.com, vercel.com (93) and hubspot.com (90). The C tier included figma.com (73), linear.app (71), substack.com (68), airtable.com (68) and clerk.com (61). You can download the raw CSV (CC-BY) and check the math yourself.
The peer-reviewed GEO work out of Princeton and Georgia Tech (KDD 2024) is blunt about what raises your odds of being cited by an LLM:
On commercial-intent queries, format matters too: comparison, "X vs Y", "alternatives to" and listicle pages account for about 40.9% of AI citations on those queries. That is exactly why this page exists in this shape — and why the traffic is worth chasing: AI-search referral traffic reportedly converts about 4.4x organic search traffic.
The myth to drop: llms.txt does not improve AI citations. Google's Gary Illyes has said it is not supported and not planned, and Ahrefs found that about 97% of LLM crawler hits never fetch llms.txt. Treat it as optional hygiene, not a ranking factor. Same goes for FAQ and HowTo schema as a "rich result" play — Google deprecated those rich results between 2023 and 2026. For AI extraction, the schema that earns its keep is Organization + Article for content, SoftwareApplication for a tool, and Service + Offer (with a real price) for a paid offering.
robots.txt. Blocking them means zero citations, full stop.Want it done instead of explained? The $9 AI Readiness Kit bundles the full benchmark, every structured-data template, and the checklist for instant download. The $39 Fix Pack is done-for-you — built for your exact site, same day. And the $249 AI-Search Visibility Audit does real citation testing against your named competitors, so you know exactly where you stand in ChatGPT, Perplexity and AI Overviews.
Prefer the command line? Run the open-source checker in one shot: npx github:epistemedeus/ai-readiness yoursite.com (repo).