Verify your pages are in the consideration set for AI Search citations

Select the URLs that should influence AI generated answers. Start with pages that explain what your company does, what problems you solve, and how buyers compare options in your category.

Good examples include product pages, feature pages, comparison pages, integration pages, category pages, buying guides, landing pages, customer education pages, and high intent blog articles.

For larger websites, you can also focus on samples of webpages with a similar structure. For example, you may not need to check every product page, if they all follow the same technical and content structure.

For each URL, check whether the page is found in ChatGPT and Perplexity responses.

Manually, you can do this by asking questions about the page, its topic, and the specific information it contains. Do not only paste the URL and ask whether the system knows it. Instead, ask natural questions that someone might ask when looking for that information. For example, ask about the problem the page solves, the product or feature it describes, the comparison it supports, or the guide it provides. Then review whether ChatGPT or Perplexity returns your URL as a cited or referenced source.

With ALLMO, this check runs automatically. The GEO agent tests your URLs against ChatGPT and Perplexity and records a simple result for each system: found or not found.

A found result means the URL was returned in a response, which proves that the page is retrievable by that AI Search system and can be part of the citation consideration set. A not found result means the page was not returned during the check and may need technical review, Warm-up, or both.

Look at the pages that are not found. These URLs need follow up before you expect them to influence AI generated answers.

Check whether each missing page is accessible, included in the correct sitemap, internally linked from relevant pages, allowed by robots settings, and using the right canonical URL.

Also review whether the page is isolated, duplicated, too thin, newly published, or too similar to existing content. AI Search visibility is partly technical, but weak or unclear content can also reduce the chance that a page is retrieved or selected.

Before using Warm-up, check whether there is a technical reason the page may not be retrievable.

Common issues include missing sitemap coverage, weak internal linking, blocked crawling, incorrect robots settings, confusing canonical tags, duplicate URL versions, noindex tags, thin content, or pages that do not clearly answer a useful query.

This step helps you avoid sending weak or blocked pages into a discovery workflow. Fix the basics first so AI Search systems have a better chance of accessing and understanding the URL.

For important pages that are technically accessible but still not found, use Warm-up to help AI Search systems discover and revisit the URL.

After Warm-up, recheck the page in ChatGPT and Perplexity. The goal is to see whether the URL moves from not found to found.

Use the result as part of your publishing QA process. Each important new page should pass a basic AI indexing check before you expect it to contribute to citations, mentions, or AI Search visibility.