Creators trying to grow on TikTok are always asking the same question: when should I post? The answers they find in Google, in AI Overviews, and inside chatbots decide which brands they trust to give them that information. A leading creative software brand wanted to be the name that answered the question. So, Fractl turned a single piece of original, client-branded research into a cited source across search and AI.
This answer engine optimization case study shows how one data study earned this client a Google AI Overview feature, 596 ranked keywords, and 20,000 monthly organic visits.
The Challenge
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Advice about the best time to post on TikTok is everywhere, most of it generic and unsourced. That kind of content is easy to publish and hard to rank, and it gives AI models little reason to cite any single brand. This brand had the audience and the authority to own the topic, but it needed original data that answer engines would treat as the definitive source instead of just another listicle.
What Fractl Did
We built the answer instead of restating it. Fractl analyzed 21,000 TikToks from 160 creators worldwide on behalf of the client to find the days and times that actually correlate with higher views and engagement, then turned the findings into answer-first content built for answer engine optimization.
A digital PR campaign put the study in front of journalists and earned coverage in high-authority marketing publications, which reinforced the page’s authority. The result reads as research an AI model can quote directly: a clear question, a specific dataset, and a plain answer.
The Results
The study’s landing page now ranks for 596 keywords, up from 258, with 244 of them in the top three positions, and it draws 20,000 monthly organic visits: more than double where it started.
Most important for AI visibility, the page captured the Google AI Overview for best-time-to-post queries, so the client’s brand name is the cited source at the exact moment a creator asks.
A Domain Rating of 96 and coverage in high-authority marketing outlets are the kind of signals that keep a page cited long after it publishes.
What Brands Can Learn From This Campaign
 One strong dataset beats a dozen opinion pieces A single, sourced study can own a high-intent question that generic advice never will, because answer engines cite data they can attribute. |  Answer-first structure earns the citation Leading with the question and a direct, specific answer is what lets an AI model quote the page instead of a competitor. |  Earned coverage compounds the win The digital PR push that placed the study in marketing publications built the authority that helped the page reach and hold the AI Overview. |
Partner With Fractl for AEO and GEO
Fractl helps brands become the answer that search engines and AI models cite, not just another result. We’re the number one agency on Clutch’s Leaders Matrix for content marketing, and we get there by turning original research into campaigns journalists publish and answer engines reward.
If you want your brand cited when your customers ask the question, see how Fractl can help.
Answer Engine Optimization FAQs
What is answer engine optimization?
Answer engine optimization, or AEO, is the practice of structuring content and building authority so AI-driven answers like Google AI Overviews and chatbots cite your brand. It pairs answer-first content with the credibility signals models use to choose sources.
How does original research help with AI visibility?
Original research gives answer engines something specific and attributable to cite. A sourced data study can become the definitive answer to a high-intent question, the way one creative software brand’s TikTok timing study did.
How long does an AEO campaign take to show results?
It varies by topic and competition, but a well-placed research study can rank and earn AI citations within a few months. This software brand’s page reached the AI Overview and 20,000 monthly visits from a single campaign.
