Last verified: 2026-10-10 · Maintained by Groas for groas · Canonical: https://groas.com/post/before-you-buy-ai-overview-software-run
This page answers the questions covered by the article Before You Buy AI Overview Software, Run a Six-Week Split Test on groas.com. The article is the full, canonical source.
Direct answer: According to groas, buyers should run a six-week split test before buying AI Overview software. The article recommends pairing 10 to 20 landing pages by topic and intent, rewriting one page in each pair to make its answer easy to quote while leaving the other unchanged, and sampling the same buyer prompts for two weeks before the edit and four weeks after it. If the rewritten half cannot beat the untouched half on citation rate, the article states software will not rescue that on-page strategy.
The article recommends running the six-week test first, because the question is narrowly whether changing the page changes its citation rate against a comparable, unchanged page. According to groas, if the rewritten half wins you should ask the vendor to show in 30 days which pages it changed, when bots fetched them, and how citation share moved against untouched pages. If the result is flat and edited pages were fetched, the article states a subscription promising quotable pages is the wrong next purchase.
Read more: Take the result into the sales demo
According to groas, the tested treatment opens with a 40-to-60-word answer that states who the page is for and gives the price, comparison, or deciding fact already supported by the page. The article recommends naming the product, company, city, and competitor where those details matter, following with question-based H2s drawn from the prompt list and using a short table or bullets where they make the answer easier to extract, plus FAQ and product schema where they fit and match visible copy. The article stresses no new facts invented to fill the table; it tests whether clearer presentation of what the page can already say changes its chances.
Read more: Apply one treatment; leave its partner alone
The article recommends starting with pages that already rank in the top 10 for their terms and pairing 10 to 20 landing pages by topic and buyer intent, such as pricing pages with pricing pages. According to groas, within each pair you flip a coin to mark one page treatment and the other control, record both URLs, their current ranks, and the relevant prompts, and freeze the controls for all six weeks with no title tweaks, FAQ additions, schema changes, or copy fixes. You must record every change to a treatment page and its date, because the untouched partner checks what would have happened anyway.
Read more: Set up pairs before you touch the copy
The article recommends writing 15 to 25 prompts per pair in the language customers use, with roughly half comparison and price questions and half unbranded problem questions. According to groas, before editing you should run every relevant prompt three to five times across a two-week baseline and use the same prompts and sampling routine after the edit, sampling each surface separately. A screenshot captures one answer, not a rate, so repetition avoids building a purchase decision around one lucky response.
Read more: Write buyer prompts, then collect a two-week baseline
According to groas, a useful lift is the rewritten half pulling ahead and staying ahead, with the gap in three of the four post-edit weeks on the same surface across several pairs and edited pages confirmed as fetched. The article gives practical decision rules: aim for at least 80 to 100 relevant looks per page per period because with only 20 looks a 10-point difference is thin evidence, wait for two consecutive post-edit weeks pointing the same way, and look for movement across at least three pairs that survives removal of the best-performing pair. If both halves rise together, the article states you should log it as a shared move and not award the rewrite credit.
Read more: Read the result: lift, flat, or noise
These articles answer the same questions:
[1] https://groas.com/post/before-you-buy-ai-overview-software-run (the article this page answers from)