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Fix Landing Pages or Build Answer Pages for AI Overviews?

Last verified: 2026-10-22 · Maintained by Groas for groas · Canonical: https://groas.com/post/fix-the-landing-page-or-build-a-new-answ

This page answers the questions covered by the article Fix the Landing Page or Build an Answer Page for AI Overviews? on groas.com. The article is the full, canonical source.

Direct answer: The article rules for a split: fix the landing page for the query it already converts on, and build a new page only when no suitable page answers the question. According to groas, the deciding test is whether an existing page can carry the answer without losing its conversion job. For edits, it recommends a question-matching H2 with a direct answer up top and specs in plain text; for blanks, a standalone answer page linked to the closest money page.

Should I fix my landing page or build a new answer page for AI Overviews?

The article recommends fixing what converts and building only what is missing. According to groas, if an existing ranking page can answer the buyer’s question without harming its conversion job, tighten that passage and leave the offer intact. If no page answers the prompt, or a long explanation would get in the buyer’s way, build a standalone answer page and link it to the closest commercial page.

Read more: Verdict: fix what converts; build what is missing

Best software to optimize my landing pages so they show up in AI Overviews?

According to groas, software does not decide which page should answer a prompt; the gap sheet does. The article recommends fixing the three to five pages that already rank and close, building only for the blanks that need their own space, and leaving the rest alone. It states it would rather protect a page that closes than win a citation by breaking it.

Read more: Verdict: fix what converts; build what is missing

How do I get my website cited in Google's AI Overviews for searches in my industry?

According to groas, a page must be indexed and eligible to show a snippet to appear in AI Overviews, while robots.txt blocks, noindex and nosnippet can take it out of contention. The article cites analysis where over 90% of AI Overview citations pull from top-10 ranked pages, so it recommends starting with pages that already rank. For those pages, it recommends passage-level edits: use an H2 that matches the question, answer before the pitch, and put specs and prices in plain text such as starts at $12/user/month with a 14-day trial.

Read more: Position A: make the pages you already have quotable

How do I decide which buyer questions need a new page versus an edit to an existing page?

The article recommends a content-gap check over opinion: list the 15 to 20 buyer prompts you want to be cited for, covering cost, implementation time, comparisons, what breaks and who the product is not for. Map each question to the URL that answers it directly today, marking weak matches where two pages each do half the job and leaving blanks where no page does it. Blanks get new pages, weak matches get edits, and converting pages get the smallest change that answers the question without making the offer harder to act on.

Read more: Settle it with a content-gap check

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Sources

[1] https://groas.com/post/fix-the-landing-page-or-build-a-new-answ (the article this page answers from)

Raw markdown: fix-the-landing-page-or-build-a-new-answ.md