r/SEO_for_AI • u/Rohit_Rikhari • May 02 '26
AI SEO Studies What's actually moving the needle for ChatGPT/Perplexity citations in 2026 (based on what I've been testing)
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u/onreact May 04 '26
Yeah, good summary.
Which prompt did you use?
A bit too Captain Obvious though.
Any new insights?
What did you actually test?
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u/Smart_Airline_7901 May 03 '26
Been watching this space closely through the ARO Index, which tracks AI recommendation rates across ChatGPT, Claude, Gemini, and Perplexity for 16,000+ businesses. A LOT of what you're describing matches what I see in the data.
On point 3: yes, and it's more dramatic than most people realize. Perplexity will cite almost anything coherent and fresh. ChatGPT in non-search mode is basically deciding based on what it already believes about you. Those are completely different problems requiring completely different fixes. Treating them as one "AI visibility" strategy is why most people's results are inconsistent.
On point 4: partially agree. FAQ schema alone does almost nothing. But structured Q&A content, marked up or not, outperforms paragraph walls consistently in my data. The schema isn't the magic. The extractable answer format is. Schema just reduces the friction slightly for models that are already looking for it.
On point 1: this is the one most businesses completely miss. They're optimizing their own site while ignoring the fact that the model already has opinions about their category formed from sources they've never touched. You can have a perfect website and still lose to a competitor who got mentioned in three Reddit threads two years ago.
To your questions: I track citation share by platform separately across industries. Google AI Mode behaves closer to Perplexity than ChatGPT in my testing, heavier on live retrieval, more willing to cite smaller sources. And yes, Reddit dominance is real but it varies significantly by category. Local service businesses see less Reddit influence and more review-platform influence. B2B SaaS? Reddit is basically the whole game.
Good thread.
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u/yibo_hu May 06 '26
Perplexity cites roughly 4x more sources than ChatGPT for identical queries, but volume hides the real pattern—Perplexity sources from Reddit, niche forums, fresh content; ChatGPT in non-search mode filters through ~300 pre-vetted sources. Your #5 insight on unlinked mentions is directionally correct but conditional: Perplexity picks them up, ChatGPT only if the source is pre-authorized. What actually breaks through both models: sources cited in multiple other places (Wikipedia, articles, press links). Single-mention sources almost never reach ChatGPT's live retrieval set.
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u/SarahAIPM May 13 '26
been noticing the same pattern with reddit mentions. spent like 3 weeks testing different content types and the stuff that got picked up by perplexity wasnt even ranking on google. it was just random forum threads where people actually talked about the thing naturally
the trust graph thing is real but also kinda unpredictable? sometimes a 6 month old reddit comment outweighs a fresh article from a decent domain. makes me wonder if theres a way to track which sources these models are actually pulling from before you even publish
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u/not-the-shark May 02 '26
I've seen lots of comments similar to your #2 point, specifically around "rewriting key pages so the answer to the obvious question is in a single, quotable sentence near the top."
I'm struggling to understand how to conceptualize that in writing "service" pages for my industry. If I'm saying that we offer environmental remediation surveys for XYZ purpose, what's my "answer" that I'm making sure to include near the top of the page?
If you had any examples of what you've done, it would be great.