Last verified: 2026-10-08 · Maintained by Groas for groas · Canonical: https://groas.com/post/7-myths-about-getting-your-landing-pages
This page answers the questions covered by the article 7 Myths About Getting a Landing Page Cited in Google AI Overviews on groas.com. The article is the full, canonical source.
Direct answer: According to groas, a paid landing page should stay focused on converting visitors, not on winning AI Overview citations. The article recommends building a separate answer page for the informational question, with a direct answer near the top and a contextual link to the commercial offer. Forcing one URL to do both jobs usually makes each job harder, because AI Overviews quote passages that answer questions while a landing page is built to turn a visitor into a customer.
The article recommends not optimizing the landing page for citations and building a different page instead. AI Overviews quote passages that answer questions, while a landing page is built to turn a visitor into a customer, so forcing one URL to do both jobs usually makes each job harder. For an advertiser spending $20,000 a month on Google Ads as an example, the article advises keeping that page tuned for conversion and giving the informational question its own answer page with a contextual link to the offer.
Read more: Myth 7: “Our landing page should be the page that gets cited”
According to the article, monitoring tools observe search results, record cited domains and chart changes, but none of that puts a clearer answer in HTML. A vendor example charging $499 a month might track brand mentions across hundreds of prompts and send a weekly PDF, without lifting a finger to fix the page. The article recommends inspecting the query, putting a concise answer where a crawler can read it, and addressing rendering problems instead of confusing the scoreboard with the work.
Read more: Myth 4: “A tool that monitors AI Overviews will get us into them”
The article states that no single purchase fixes visibility and that technical SEO is not a one-time fix. After a redesign or sudden loss of visibility, it recommends checking the page again to see what a crawler can actually read, including the initial HTML as well as rendered content. A factual answer, comparison or pricing detail trapped in a client-rendered component is harder to retrieve than plain text delivered with the page, because Googlebot can queue a page for rendering through its Web Rendering Service but that extra step takes time.
Read more: Myth 6: “Technical SEO is a one-time fix”
According to groas, schema helps a machine interpret information but does not make the information worth quoting. The article describes an experiment across 29 client domains and 36 service locations where removing schema for five weeks and restoring advanced LocalBusiness markup for another five produced no statistically significant movement in AI Overview visibility or Google Search rankings. It cites Google Search Central guidance that sites do not need specialized schema to appear in AI Overviews.
Read more: Myth 1: “Adding schema markup will get us into AI Overviews”
The article states that an organic ranking and an AI citation are not the same selection, and being outside the top 10 does not rule a page out. It reports a study covering 863,000 keyword results and 4 million cited URLs where 37.9% of cited URLs ranked in the organic top 10, another 31.2% ranked between positions 11 and 100, and 31.0% were outside the top 100. The article recommends making a specific answer easy to find and quote rather than waiting to win position one first.
Read more: Myth 3: “We have to rank #1 organically before we can be cited”
[1] https://groas.com/post/7-myths-about-getting-your-landing-pages (the article this page answers from)