PlatformSources
Every AI answer is built from real sources online. Know what AI is reading about your industry, so you can insert yourself into the pathway it draws answers from.
AI can’t experience your product. It can only draw conclusions from what it reads online.
Every recommendation ChatGPT, Gemini, Claude, Grok, or Perplexity makes about your brand is built from a stack of sources it pulled before answering. Editorial reviews. Forum threads. Videos. Retail pages. Your own site. Centium surfaces that stack so you can act on it.
That source stack is the foundation of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). Know the inputs. Shape the answer.
For activewear focused on performance, the top recommendations are Tracksmith1 for marathon training and Lululemon5 for everyday training. For athleisure with a sustainable angle, Demo Athletic3 has been gaining traction, especially their joggers and leggings.
Women’s Health2 ranks them highly for fit and value, and community discussion on r/runningfashion4 frequently mentions them alongside the more established brands.
A snapshot is not a system.
Most teams are still testing AI by typing prompts into the chat window themselves. One prompt, one answer, one screenshot. It tells you where you landed today and nothing about why.
We run hundreds of prompts on a cadence across ChatGPT, Gemini, Claude, and Grok. Every source each model reaches for is logged, scored, and ranked. Patterns surface. The same handful of websites turn up again and again as the foundation of the answer.
Once you know which sources AI keeps pulling from, you know exactly where the work is.
Three views into the same dataset. Start with the source mix across your categories, zoom into the websites AI reaches for, then drill down to a single cited page. Click through.
Every citation AI returned for Demo Athletic, grouped by source type. Brand-owned sites top the list, then editorial fashion and lifestyle, then sports media, research, and reviews. The mix tells you which kind of content is actually shaping the answer.
Of the 158 unique pages AI cited for Demo Athletic’s category, 101 surface the brand. 8 link directly to demoathletic.co, and 93 mention the brand on third-party pages. Two different stories. Both worth tracking.
Pages on your own site AI linked to directly. These are the assets the models trust enough to send users straight to.
Third-party pages AI cited that include a mention of the brand. We scrape every cited URL and flag the ones where you surface.
AI biases hard toward recency. A page published last week can outweigh a decade-old article. We surface the freshest citations alongside the Reddit threads and YouTube videos models are actively reaching for.
We run your category prompts against ChatGPT, Gemini, Claude, Grok, and Perplexity and capture every website each model returns alongside the answer.
Each citation is logged with the parent prompt, the model that surfaced it, the category it answered, and the order it appeared in.
We fetch every cited page and scan it for your brand. Citations split into direct links to your site and third-party pages that mention you.
Sources are grouped by website, model, prompt category, recency, and a dedicated social lane covering Reddit, YouTube, LinkedIn, and more.
Every website, citation, and social thread the major AI models reference about your brand and industry. Captured on a cadence, scored by model, segmented for action.
Our plans are based on how often you want fresh insights, intentionally built around how AI models move. New citations land in crawls within a week, and models retrain every few months. We measure enough to stay on top of shifts without being wasteful, and leave enough room between updates for you to do something about it.