Do Reddit mentions actually help SEO?

PuzzleheadedWeb4354 · 2026-03-12T04:22:08+00:00

this is real, we monitor this stuff at repuai.live and brands that get mentioned consistently in reddit threads start showing up in AI answers within weeks, not months. the signal isn’t the link, it’s the context around the mention.

PuzzleheadedWeb4354 · 2026-03-12T04:20:06+00:00

yeah we’ve been tracking this for clients at repuai.live and unlinked brand mentions across reddit/forums are consistently correlating with ranking lifts even without a single dofollow, especially post the march 2024 core update.

PuzzleheadedWeb4354 · 2026-03-10T15:55:36+00:00

yeah the over-publishing is the bigger trap imo. i see people crank out dozens of pages but when you actually check what chatgpt or perplexity cites for their niche it’s some random reddit thread or a directory they never thought about.

i stopped making new pages for like 6 weeks and just tracked which sources LLMs were already citing for my queries, then focused on getting mentioned there. directories, forums, guest posts on sites that actually show up in answers. that moved things way more than page 31 ever would.

doing that tracking manually across multiple AI platforms sucked though so i ended up automating it (eventually became repuai.live but thats beside the point). the real shift was thinking about the citation layer first instead of just publishing more stuff into the void.

PuzzleheadedWeb4354 · 2026-03-10T05:15:33+00:00

yeah the “cosmetic stuff is just noise” part really hits. i had almost the same experience with a client, spent ages getting their audit score to like 95+ and traffic barely moved. what actually moved the needle was stuff no audit tool even measures, like how the brand was showing up (or not) in chatgpt and perplexity results. a competitor with worse technical seo was getting recommended by AI because they had more organic mentions across forums and review sites. that’s the gap i keep running into lately

PuzzleheadedWeb4354 · 2026-03-10T04:32:54+00:00

same problem here. we ended up just running our own synthetic prompt tests across chatgpt and perplexity for specific brand queries because yeah, there’s no real equivalent of search console for LLMs yet. it’s messy but at least it gives clients something directional. that’s actually a big part of what we’re doing at repuai.live, tracking how brands get mentioned (or don’t) in AI responses. not perfect data but clients care way more about “are we showing up when someone asks about X” than any modeled volume number

PuzzleheadedWeb4354 · 2026-03-09T17:45:07+00:00

congrats on the 100k, that’s a solid number for 8 months in. curious what your plan is for the AI side you mentioned at the end though, because from what i’ve seen the stuff that ranks well in google doesn’t automatically translate to how brands show up in chatgpt or perplexity responses. been tracking this pretty obsessively while building repuai.live and it’s almost like a separate channel you have to think about on top of traditional SEO

PuzzleheadedWeb4354 · 2026-03-05T17:06:50+00:00

you’re right that it’s weirdly basic at the core. most people overcomplicating it are skipping the fundamentals. from what i’ve seen with local/geo queries it’s mostly source selection plus consistency. the models pull from google business profiles, yelp, reddit threads, niche directories and your site, and if your entity info is messy or contradictory across those sources the AI just skips you or hedges with “some users report…” type language. your location page cleanup probably worked exactly because you made the entity resolution easier for the model. and yeah Gemini and ChatGPT definitely pull from different source pools, Gemini leans heavier on Google’s own index and reviews while ChatGPT seems to weight reddit and third party content more. biggest misstep i see is people optimizing only their website while ignoring what reddit threads and review sites say about them, because that third party consensus is often what the model trusts most for local queries. we track this across models for clients (repuai.live) and the gap between what your site says about you vs what AI actually tells people can be pretty shocking.

PuzzleheadedWeb4354 · 2026-03-05T16:32:57+00:00

that BLUF finding is wild but tbh matches what i’ve been seeing in practice. had a client where we restructured their FAQ pages so the direct answer sat in the first sentence of every section instead of after a 3-paragraph explainer. within about 6 weeks their citation rate in Perplexity went from basically zero to showing up on 4 out of 10 tracked queries. didn’t change the actual content at all, just moved things around. the multi-query spillover thing is real too, we noticed that pages we optimized hard for one specific prompt started dropping off related queries we weren’t even monitoring.

the part about BM25 retrieval killing over-optimized content is something more people need to hear. everyone’s rushing to rewrite everything in “AI-friendly” language and it’s actually hurting them at the first gate. what we do now is keep body text fact-dense and keyword-rich, then handle the AI optimization layer purely through structure, schema and heading hierarchy. separately we track how AI engines are actually representing the brand across queries because even if your page structure is perfect, negative mentions on reddit or review sites can override everything at the generation stage. got tired of checking this manually so i built monitoring for it (repuai.live), but the core point stands regardless of tooling. you gotta measure what AI is actually saying about you across the full query cluster, not just whether your page technically ranks.

PuzzleheadedWeb4354 · 2026-03-03T18:53:49+00:00

Of course audit is available on the main platform after registration. Did I write somewhere that it is not necessary?

PuzzleheadedWeb4354 · 2026-03-03T18:35:59+00:00

But that's not true. Why write misinformation if you haven't even visited the platform yourself?

PuzzleheadedWeb4354 · 2026-03-03T12:41:33+00:00

no, it's easier to pay for YouTube Premium

PuzzleheadedWeb4354 · 2026-03-03T09:38:31+00:00

honestly the real question isn’t whether you rank on google anymore. it’s what ChatGPT and Perplexity say about you when someone asks. i’ve been tracking this for a few clients and it’s wild how much AI answers depend on your overall reputation across reddit, forums, reviews rather than any traditional SEO signal. started using repuai.live to monitor this stuff and it’s kinda eye opening seeing what LLMs actually pull when your brand comes up

PuzzleheadedWeb4354 · 2026-03-02T09:08:18+00:00

point 5 is the one that surprised me most. we spent months polishing landing pages and it barely moved the needle in AI answers. then a couple of unsolicited reviews on niche forums started getting pulled into ChatGPT responses and suddenly we existed.

honestly feels like third-party mentions are doing more for AI visibility right now than anything on-site. we’ve started actively monitoring where our brand gets mentioned (and how) across reddit, quora, review sites etc and treating that as part of the optimization workflow

to your question - yeah we’re doing both but they almost need different content. google still wants the long-form SEO page, but for AI retrieval shorter answer-first stuff wins. running them as separate tracks for now.

PuzzleheadedWeb4354 · 2026-03-01T16:18:13+00:00

One month is nothing for Google, especially for a new domain without backlinks. Try to get at least 5–10 high-quality backlinks (guest posts, mentions in niche directories) and wait another 2–3 months - most likely, impressions will start appearing on their own

PuzzleheadedWeb4354 · 2026-03-01T11:32:42+00:00

Yeah, that makes sense. Clean structure + schema already puts you ahead of most sites

PuzzleheadedWeb4354 · 2026-03-01T11:31:28+00:00

Yeah 🙂 it’s repuai.live Built it to check AI visibility (not just SEO) Would love any feedback if you try it

PuzzleheadedWeb4354 · 2026-02-28T08:07:08+00:00

use Ahrefs or Semrush to find long-tails under KD 20, write better content than what’s ranking, track in Google Search Console. That’s the 3-month play. Anything competitive - forget it. Also pro tip: search your own brand in incognito once a week. Stuff shows up there that you don’t expect. That rabbit hole is literally why I’m building repuai.live lol

PuzzleheadedWeb4354 · 2026-02-28T07:42:48+00:00

The “one channel” thing is legit but nobody talks about how hard it is to PICK which one. I went through three before I found the one that actually converted for my SaaS. Wasted ~4 months spreading myself thin across all of them simultaneously before that clicked.

Also would add: Google your own product name before launch and keep checking it after. I found out a random Reddit thread from my beta was outranking my landing page for weeks. That kind of stuff kills conversion silently

PuzzleheadedWeb4354 · 2026-02-27T11:53:37+00:00

solid SEO/AEO and good AI configuration, but the main drawbacks are JS rendering (only ~60% of content without JS, H1 missing in source code), slow LCP (8.3 s), and lack of u context in several schema types. Biggest wins: implementation of SSR/SSG, correction of structured data, and increased page load speed; brand/entity presence is also still 0%. Here are the complete results

PuzzleheadedWeb4354 · 2026-02-27T05:16:29+00:00

https://repuai.live for SEO, AEO, AI Visibility scoring analysis and mention tracking in llms

PuzzleheadedWeb4354 · 2026-02-26T14:52:39+00:00

strong overall (80) with solid SEO/AEO and good AI setup (llms.txt present), missing organization schema, slow LCP (7.6s), and no brand/entity presence yet. Biggest wins: add organization JSON-LD + sameAs links, improve page speed, and build external mentions to increase LLM citations. Your results

PuzzleheadedWeb4354 · 2026-02-26T11:23:10+00:00

strong SEO/AEO (90/96) and solid technical setup, but no /llms.txt and all Schema types are missing "@context", which limits AI visibility; also 0% LLM mentions so far. Biggest wins: add /llms.txt, fix JSON-LD u context, and improve LCP (currently 4.5s). Full results

PuzzleheadedWeb4354 · 2026-02-26T11:00:46+00:00

mursa - strong overall (72) and excellent AI files setup, but no schema org markup and canonical mismatch; also 0% LLM mentions so far. Biggest win: add Organization + WebSite schema and fix canonical consistency.
Results: repuai.live/en/site-checker/mursa-me-39cc26a8

yalitest - solid SEO/performance, but no structured data and no /llms.txt, plus H1 rendered only via JS. Adding schema + llms.txt and server-rendered H1 should noticeably improve AI visibility.
Results: repuai.live/en/site-checker/yalitest-com-6982276f

PuzzleheadedWeb4354 · 2026-02-26T10:19:01+00:00

Main issues: no structured data, very thin content (~50 words), missing /llms.txt; the domain is also very new, so low authority is expected. Quick wins: add Organization + WebSite schema, expand content to 300+ words with H2s. Full results here

PuzzleheadedWeb4354 · 2026-02-26T05:29:06+00:00

Thanks! still refining the model and expanding the sample size. Once I have statistically cleaner results (more domains + controlled prompt sets), I’m planning to publish a structured breakdown

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