Loonis (2026) — AEO signals for ranking in ChatGPT for B2B SaaS

Summary:

This report focuses on how B2B SaaS companies can get mentioned and linked in ChatGPT and other AI answer tools. It gives a list of seven signals that Loonis says matter most for AI citations.

It was published by Loonis, a company that sells Webflow builds, growth plans, and done-for-you AEO work. That commercial angle matters because the article ends by pitching Loonis services. The main goal is to persuade marketers that these seven changes can improve AI visibility and to show what to fix first.

Loonis says the guide is based on its own AEO citation tracking data, on baseline citation scores across ChatGPT, Perplexity, and Google AI Overviews, and on outside sources including Princeton GEO research, Webflow's AEO Maturity Model, AirOps, and Search Engine Journal. But it does not explain the method behind Loonis's own tracking in any usable detail.

There is no sample size, no query list, no time window, no controls, and no clear breakdown of which findings come from Loonis versus outside studies.

Main takeaways:
• Pages with more specific, sourced facts are said to get cited more often.
• The first paragraph under each heading should answer the question directly in about 40 to 60 words.
• Section headings should be written as full questions.
• Pages should show a visible last-updated date and be refreshed often.
• Article and FAQ schema should be added and validated, because broken schema is treated as wasted effort.
• AI crawlers like GPTBot and PerplexityBot must not be blocked in robots.txt, because blocked pages cannot be cited at all.
• Brand name, URL, and one-line description should match across the website and directory profiles so AI systems see one clear entity.

The piece also gives a priority order: open crawler access first, then fix headings and answer blocks, then add sourced facts, then schema, then freshness work, then entity consistency. It claims some changes can produce measurable Perplexity gains within 1 to 3 weeks, but gives no hard numbers from Loonis beyond a few percentages borrowed from other sources.

The big catch is methodology.

This is not a transparent study. It is a vendor blog post mixing Loonis anecdotes with numbers from other reports. T