SEOs have long relied on the "site:" operator in Google and Bing to check whether a page sits in a search index — a quick win for anyone without access to Google Search Console or Bing Webmaster Tools. Searching a quoted text snippet from a page served a similar purpose, revealing whether content was indexed or duplicated.

In the AI-search era, that convenience has vanished. There is no equivalent of GSC for AI chatbots, and the gap is obvious. But Chris Green, writing on Search Engine Journal, argues that a workable substitute already exists: prompt a chatbot directly.

The method

Green suggests a prompt such as: "Search for '[paste your snippet here]' and return any results which contain that exact text only." Testing this in ChatGPT while signed out, he found the response unambiguously confirmed the chatbot could return the target URL. Exact responses vary, but the approach proves indicative.

From a successful result, three things can be inferred: the search source the chatbot used contained the content; that content was correctly attributed to the URL; and the page is, technically speaking, "search" friendly.

A troubleshooting checklist when the page fails

If the page isn't returned, Green lays out the issues to work through:

• Discoverability: Can crawlers reach the page through site links or sitemap.xml? Green has seen "AI content" generated and intentionally orphaned — poor practice for discovery.
• Fetchability: Is bot security (WAF or similar) or robots.txt blocking access?
• Crawlability: Can the page text at least be rendered or extracted?
• Indexability: Does the page carry noindex directives or canonical tags pointing elsewhere?
• Content value: Is the passage searched distinctive enough to return only your page, or is it too generic to "rank" in the results the chatbot queries?

Timing also matters. A page may not be discovered yet, or discovered but not yet indexed. Green advises patience.

He recommends testing four to five times when results are unclear. ChatGPT, for example, calls from different sources, and the source queried may be only one of several available. To be certain, change the snippet and test again.

The workaround has limits. Without GSC, Bing Webmaster Tools, or access logs, you cannot answer these questions definitively — you get a list of potential issues, not confirmation. AI chatbot responses are not "truth," Green cautions, so interpret the output. Standard technical SEO practice remains the fix for discovery, retrieval, crawling, and indexing problems. And if a page's content simply isn't distinctive enough to be returned this way, Green assumes it will not hold much search value in any case.

Speeding up the workflow: Exactly Matchy

Copy-pasting snippets into a chatbot works but is clunky. To streamline it, Green built a "vibe-extension" called Exactly Matchy. It works as follows:

• It reads the rendered page in the browser and extracts visible headings, paragraphs, and list content, filtering out boilerplate such as navigation, cookie banners, footers, and menus.
• It identifies distinctive 20-30 word passages likely to uniquely identify the page, favoring specific names, numbers, claims, and uncommon wording over generic marketing copy.
• Chrome's on-device LLM ranks and selects the best candidate passages — it does not rewrite them. Keeping the LLM local means page text never goes to a third-party API; there are no API keys, no usage costs, and the tool stays lightweight. If Chrome AI is unavailable, the extension falls back to a simpler scoring method.
• Each selected passage becomes an exact-match retrieval prompt, with one-click links into ChatGPT, Claude, and Gemini.

The first snippet should be the strongest candidate, but users may still need multiple snippets and repeated tests, given the multiple search sources behind chatbot results.

Installation is manual for now: fork or download the repo, open chrome://extensions, enable developer mode, click "load unpacked," and point to the folder. Green says he will publish to the Chrome Extension library if enough people find the tool useful.

He adds a security caveat: "Add extensions like this at your own risk; I'm not saying this to put you off, but it's the internet equivalent of taking candy from a stranger. Review the code, make sure you're happy before diving head-first."

Retrieval is only hurdle one

Green draws a clear distinction between retrieval and AI visibility. If a page can be retrieved but isn't ranking in AI answers or driving traffic, that is a separate problem — one his guide does not set out to solve. Marketers then need to assess their authority in the topic area and how useful their content is relative to the competition.

The piece was originally published on Chris Green Search Marketing (SEO/AEO).

Source: Search Engine Journal (https://www.searchenginejournal.com/checking-a-page-is-part-of-a-retrieval-pipeline-for-ai/589284/)