Why I ran this experiment
What none of them are doing is running the experiment on a real blog and publishing the results without a product to sell. So I did it on BuzzRiding over four weeks in April and May 2026. Three articles. Four changes per article. Manual citation checks in ChatGPT, Perplexity, and Google AI Mode every Monday morning.
The experiment setup
Four changes per article:
- BLUF opening: Direct answer in the first 150 words.
- Stat density: Two to three named statistics with source and year per major section.
- FAQ restructure: Questions rewritten as people actually phrase them in ChatGPT.
- Headers as questions: Three H2s rewritten from statements into questions.
12 manual prompts across ChatGPT, Perplexity, Google AI Mode. BuzzRiding cited in 0 out of 12 tests.
Week 2: First citations appear
1 citation out of 12 tests. Perplexity only. The BLUF-structured careers article moved first.
Week 3: Stat density makes the real difference
Stat-dense sections with named statistics and year-and-source attribution started drawing citations. Testing “What AI skills should marketers learn in 2026?” in Perplexity: BuzzRiding appeared as a cited source in a paragraph containing a named HubSpot 2026 data point.
4 citations out of 12 tests. Perplexity leading. Stat-dense paragraphs with attribution are what’s getting cited.
Week 4: Plateau and a surprise
Google AI Mode finally cited BuzzRiding. For a very specific question — “what percentage of marketers use AI tools daily” — that matched an exact stat added to the AI Skills article.
5 citations out of 12 tests. First Google AI Mode citation. Perplexity most consistent. ChatGPT least consistent.
What the results actually mean
Stats with attribution are the single most citation-worthy element. Every citation came from a section containing a named statistic from a named source. General opinion paragraphs were never cited once across the entire experiment.
Prompt phrasing dominates. The same content got cited or not based on question wording. Structure for the most direct, common version of the question.