Give the second segment its own address
For a library at /resources/, a later segment might use /resources/?page=2. Google recommends a unique URL for each page in the sequence and a self-canonical (a canonical link that points to that same page) for each, rather than making every segment canonical to page one. It advises against using a fragment such as #page=2 for the page number. Google pagination guidance
Here is a fictional implementation pattern. The addresses are examples, not routes to add unchanged to your site:
<nav aria-label="Resource pages">
<a href="/resources/">1</a>
<a href="/resources/?page=2" aria-current="page">2</a>
<a href="/resources/?page=3">3</a>
<a href="/resources/?page=3">Next</a>
</nav>The application must make those addresses work. Opening page two in a new tab should return its intended list, rather than reset to page one or require the visitor’s previous browsing session. The link markup alone cannot implement that behavior.
Fictional addresses show the link relationship. Reachability is separate from indexing.
Give the articles ordinary links too
Within each segment, link the article title to the article’s own URL. Google documents an anchor with an href as the reliable crawlable-link pattern; a click handler attached to another element is not an equivalent guarantee. Descriptive link text helps people understand where they are going. Google crawlable-link guidance
You can preserve a load-more interaction for readers while providing the paginated addresses underneath it. Evaluate the two paths separately: one checks the browsing experience; the other checks that the list and its article destinations are reachable without replaying that interaction.
Walk the route to an older article
Choose one article beyond the initial list and test the complete path. This small exercise is a proposed QA method, not a measurement of search coverage.
Scroll horizontally to read all columns. Use the arrow keys when the table is focused.
| Check | What to record |
|---|---|
| Open a later page directly | The URL, response status and visible article list |
| Follow Next and Previous | Correct segments and a usable return path |
| Open an older article | The article URL and successful page response |
| Use the keyboard | Visible focus and working pagination links |
| Disable JavaScript for the check | What remains available, and which navigation requires scripting |
| Inspect the canonical | The intended segment URL, with no accidental page-one canonical |
A JavaScript-disabled browser is a useful fallback check; it does not reproduce every crawler. Record an unavailable fallback as that specific finding, and investigate the actual rendered content and link path before declaring the site invisible to search or AI systems.
Keep distinct list pages distinct
Canonicalization is intended to consolidate duplicate or very similar content. A second list segment containing different articles is not automatically a duplicate of the first. Google ultimately chooses its canonical and treats the declared preference as a signal. Check the actual returned canonical, not only the CMS setting. Google canonical guidance
Sorting and filtering can create another set of URLs. Inventory those separately so a pagination change does not accidentally make every combination part of the intended search inventory. Preserve existing exclusions until their purpose is understood.
Confirm discovery separately from publication
Finishing this work gives readers and crawlers a documented route through the library. It does not establish that Google indexed every article, that an assistant retrieved it or that an AI answer cited it. Keep the route check, provider indexing evidence and any later AI-answer observations as separate records.
Start with one older article and make its path reliable. Then apply the same check to the library’s remaining segments.
Sources and scope
Published by Gist, which sells AI visibility software. Google’s documentation was checked November 13, 2026. The code and QA worksheet are illustrative; we did not test your site or measure citation gains. The search-engine behavior described here is Google’s documented behavior, not a universal claim about all AI assistants.