On or around August 14, Reddit’s share of ChatGPT citations dropped roughly 86% in a single day, falling to under 1% of all AI mentions. The agencies charging $20,000 to $30,000 a month to plant brand mentions in subreddits woke up to zero leverage. The freelancers on Upwork renting aged Reddit accounts at five to ten dollars a mention lost their market. The whole playbook vanished in 24 hours.
Steve Chou and Toni Herrbach broke down what happened, why it was structurally predictable, and where ecommerce sellers should point their attention instead. Both had promoted the Reddit tactic earlier in the year, including a Sellers Summit talk and a podcast episode with a Reddit agency owner, so this is not a post-hoc critique from the sidelines.
What Actually Collapsed

Reddit’s AI visibility was built on licensing, not organic merit. The platform has paid data deals with Google and OpenAI, and it is actively suing Anthropic and Perplexity for scraping without a deal. When access is licensed rather than earned, the buyer can turn the spigot off. That is exactly what appears to have happened.
The drop coincided with Reddit joining the S&P 500. The company is also reportedly weighing an exit from its Google licensing deal to launch a Reddit-only AI search product, though that remains a rumor rather than a confirmed plan. Google’s own citation of Reddit dropped in parallel with ChatGPT’s.
The brands paying $20K to $30K a month were not buying Reddit traffic. They were buying the AI overview and ChatGPT mentions those threads generated. The human Reddit audience was a side benefit. When the AI citations disappeared, so did the return on the spend.
Why This Cycle Keeps Repeating
Steve and Toni have watched this pattern play out at least three times. Tumblr had do-follow comment links a decade ago: leave a relevant comment with a link, collect real backlinks, until the platform changed the setting. StumbleUpon drove coordinated traffic until detection tightened. Reddit just ran the same arc.
The shape is always identical. A cheap, fast, scalable tactic appears. An industry grows around it. The platform notices and closes the door. Every business that built on that channel loses its traffic overnight.
Traditional Google SEO is the outlier. It has held value for roughly twenty years, and even its fast-moving tactics get penalized on a regular schedule rather than zeroed out entirely.
Where AI Models Are Citing Now

YouTube is now getting cited more heavily by Google. LinkedIn saw a Reddit-shaped collapse of its own. The broader citation graph is moving away from platforms flooded with low-effort user-generated content.
LinkedIn added an AI-generated label to slow its own spam problem. The platform reduces reach on posts marked AI-generated, which is an implicit acknowledgment of how much of the feed is now machine-written.
Original content still performs when the human voice survives. Dictating your thoughts and letting AI clean up the transcript keeps your voice in the finished text, which reads differently than fully generated posts and carries a different signal for AI citation.
How Consumers Actually Use AI to Shop
ChatGPT holds roughly 70% of consumer AI market share. Shoppers use it primarily for research rather than direct purchase. Traffic from ChatGPT to Steve’s store converts noticeably better than average traffic, but direct AI-attributed revenue is still small: one to two percent of sales across both his stores, a figure that grew quickly over the six months prior to this episode.
Attribution is the hard part. A shopper researches on ChatGPT, then types the brand name into Google, so the ChatGPT-influenced sale shows up as branded Google traffic in analytics. Rising brand search volume is the more reliable proxy for AI-driven awareness, even when the attribution chain is invisible.
Claude sees far less shopping search. Steve’s own Claude usage is almost entirely productivity and analysis work. For anything consumer-facing, he searches ChatGPT or Google.
How to Rank in AI Search as an Ecommerce Store
Publishing AI-formatted content with FAQ schema and a quick-summary intro produces measurable ranking gains within months. Steve’s “handkerchiefs” keyword moved from an average rank of 8.5 to 4 over six months of adding this content type.
Toni’s team leads with high-volume questions their audience is already typing, such as homeschool scholarship availability by state. The content investment pulls double duty when the topics genuinely serve the audience rather than existing purely for SEO.
- Lead with a quick-summary intro that answers the main query in the first paragraph.
- Add an FAQ block with schema markup targeting questions buyers actually search.
- Prioritize topics your audience needs regardless of AI visibility, so the investment holds value even if the citation graph shifts again.
- Watch brand search volume as your AI visibility signal. Direct attribution is unreliable.
Shopify now breaks out agentic traffic separately in its dashboard, showing visits from ChatGPT, Perplexity, and Claude. Google-mediated AI traffic still hides behind organic referrals, so Shopify’s data is a partial view.
What Amazon Shop Direct Changes

Amazon Shop Direct surfaces products from outside websites inside Amazon search results, effectively turning Amazon into a discovery engine for sellers who do not sell on Amazon directly. Amazon has been blocking AI scrapers because it wants to own the shopping AI layer itself.
The early version had serious problems. Amazon scraped seller websites without permission, cached data went stale, and customers received order confirmations from Amazon email addresses when the outside site’s prices had already changed. The current version is opt-in, which addresses the consent and freshness issues.
Enrollment is currently free. Amazon runs new marketplace programs without fees to seed adoption. Fees historically follow once volume is established, so early access costs less than late.
One honest note on Amazon’s search quality: the first 20 results in many categories are now ads, sponsored placements are visually indistinguishable from organic results on mobile, and Amazon has begun gating review access for accounts that browse without purchasing.
What to Do This Quarter
The Reddit collapse is the fourth version of this cycle in a decade. The response is the same each time: invest in assets a platform cannot revoke.
- Fix site fundamentals first. Navigation, speed, and checkout hold value regardless of traffic source. AI tools now let you rebuild a site in a weekend rather than four weeks.
- Publish AI-formatted content on your buyers’ real questions. FAQ schema and quick-summary intros produce measurable gains within months.
- Get on Amazon Shop Direct while enrollment is free. Free stages of Amazon programs rarely last.
- Keep investing in Google. AI Overviews, AI Mode, and traditional search combined still dwarf ChatGPT’s search volume. Ranking on Google remains the highest-leverage single investment.
- Skip anything selling cheap, guaranteed AI traffic. The Reddit playbook had a roughly one-year shelf life. The next version will too.
Digital PR still helps. Steve and Toni both ran scholarship programs on their stores that generated .edu backlinks, with the harder-to-measure benefit being the branded authority that follows. That is the kind of asset a platform cannot revoke overnight.


