15 Updates - ChatGPT Ads, Gemini Search & YouTube AI
Happy Wednesday.
- OpenAI is about to start rewriting your ChatGPT ads on its own. The opt-out deadline is October 29, and I would not sleep on it.
- Gemini just gave users a switch to turn Google Search off entirely. When they flip it, your content earns no citation at all.
- And Reddit's slice of ChatGPT citations fell off a cliff in August. A B2B agency's playbook shows how to get back in without getting banned.
CHATGPT
OpenAI takes the editor's pen, whether you hand it over or not
You know that moment when autocorrect "fixes" a text you never asked it to fix? From October 29, your ChatGPT ads get the same treatment, and OpenAI will not show you every edit first.
Your ads get a ghostwriter on October 29. OpenAI's creative enhancements tailor your ChatGPT ads to each conversation and the user's interests, working from your ad and your landing page.
They switch on by default on October 29 for new and existing campaigns. Once live, they can rewrite your headlines and descriptions, translate your copy, resize your images, and even send clicks to a different page on your site. The enhanced versions can run without your approval, and there is no preview of every single change.
Want the final say? Act before October 29. Head into Ads Manager and opt out before the deadline. The good news is that campaign settings beat the account default, so you can also keep it on for one campaign and test it like a sane person instead of letting it loose on everything.
Spotted in the wild: two more ChatGPT ad tests. Search Engine Watch caught ChatGPT testing two new ad features, and both are worth knowing about.
The first is single-brand shopping ads at the bottom of answers. One site's name and favicon sit above grey cards showing product names and prices, so no competitor gets to share the unit. That is a very different game from the crowded comparison boxes most advertisers are used to.
The second is a CTA button inside the ads themselves, with a dotted underline and an arrow. ChatGPT ads never had a CTA before, and a clear next step should earn more clicks. If your offer is even slightly ambiguous, this one could be the difference between a curious glance and a real click.
The missing UTM tags case is closed. After the GPT-6 release, ChatGPT links stopped carrying the utm_source=chatgpt.com tag, the little label that tells your analytics a visit came from ChatGPT.
To make it worse, ChatGPT links also hide referral data, so analytics tools counted many of those visits as direct traffic. If your ChatGPT traffic fell off a cliff recently, it probably did not fall. It just changed its name to "direct."
OpenAI confirmed it was a bug and started rolling out a fix on October 15. My recommendation: annotate October 8 to 15 in GA4 or Adobe Analytics, and leave your attribution models alone. Your ads may change faces, but at least your ChatGPT clicks got their name tags back.
My take on this whole section: an AI rewriting my ad copy without a preview makes me more nervous than excited. I would opt out at the account level before October 29 and then test creative enhancements on one small campaign with a tight budget. The UTM bug fix, though, is pure good news. If your "direct" traffic suddenly drops and ChatGPT traffic rises, do not panic. That is just the name tags going back on.
Hand searchers the steering wheel and see where they drive
Google just gave users more control over what they see, and every bit of control they take is a bit of visibility you lose. Four changes worth your attention this week.
Gemini gets a Search Google switch. Google added a Search Google option to Gemini's web app, and it is a simple per-prompt choice. For each prompt, users can force a Google search when they need recent events, or skip it entirely when they do not need live results.
Until now, Gemini made that call itself. The catch is that with Search off, the model has no web sources to cite, so your content cannot earn a citation there. That is the traffic worry every marketer shares with AI answers, except this time the user is the one pulling the plug.
Your fans get a shortcut. Google is testing a Source preferences button in AI Mode's citations sidebar. It lets searchers add or remove their preferred sources, the sites they have chosen to favor, without leaving the answer.
AI Mode has supported preferred sources since May, so the mechanism is not new. The new part is how easy Google is making it to use. My advice is simple: if you have loyal readers, ask them to add your site. A preferred source in AI Mode is the closest thing to a guaranteed seat at the table.
AI Overviews go undercover. On desktop, some AI Overviews now show up without their label, looking like knowledge-panel-style answers for things like shows and movies. Mobile still labels them.
Barry Schwartz of SE Roundtable suspects it is a bug, and the missing labels may also explain why Semrush is reporting a drop in AI Overviews. Here is my take on the data: if your tracker shows a drop, check the results page yourself before you report it. A labeling bug is not a traffic collapse.
Ask YouTube cuts the line. YouTube is testing answers from its AI chatbot at the top of regular search results. The test reaches some signed-in US desktop users searching in English, and answers can show up on open-ended, how-to and skill-based questions.
If how-to searches feed your channel, an AI answer may now sit above your videos. Watch your YouTube search traffic closely over the next few weeks, because this is the kind of quiet test that becomes the default experience overnight.
My take on this whole section: every one of these moves pushes the same direction. The searcher gets more control, and organic content has to earn its place in a smaller window. The counter-move is the same every time. Be the source worth preferring, be the citation worth earning, and keep your own data as the reality check.
The backdoor into AI answers, guarded by people who hate marketers
Reddit is where your buyers ask strangers if your product is any good. The good thing is those threads rank in Google and feed AI answers. The bad thing is that Redditors can smell marketing a mile away.
Bill Widmer got B2B SaaS agency Scalerrs, which runs this playbook for dozens of clients, to share exactly how it works.
Let your keyword list pick the threads. Search Reddit for the 200 to 500 keywords your SEO team targets. For B2B SaaS, that turns up about 150 subreddits with threads that rank. Skip anything older than 20 days, because those comments are the easiest ones for Reddit to flag and remove.
Build a history, answer, then leave. Moderators read comment history, so build the account with helpful answers to unrelated questions long before you ever mention a product. When you comment, answer the question in full. I like Scalerrs' test: would your reply work as a ChatGPT answer? Then get out.
Lose the brand voice. Real stories and emotion beat polish. A blog promises to save you $10,000 a year on insurance. Reddit tells you that you are already losing $10,000 a year. Same fact, completely different credibility.
Earn your own threads. Wait until the community trusts the account. AMAs work, like the one Attio CRM's cofounder ran in r/CRM, and so do pain-point posts. Owned subreddits worked for 30% to 40% of Scalerrs' clients, but only in underserved niches.
Check your own name daily. Search your brand on Reddit, sorted by new. After LastPass's security incidents, one community kept "don't use it" threads alive. They still rank for the brand name and show up in ChatGPT answers. That is reputation management you cannot afford to skip.
Count citations, not upvotes. Track whether AI answers actually cite your threads, engine by engine. Upvotes feel good. Citations drive business.
And here is the sobering counterpoint: in August, Reddit's share of ChatGPT Search citations fell from 3.83% to 0.52% in four days, per Promptwatch. ChatGPT still reads Reddit while researching but rarely links it. Google's AI Overviews, AI Mode and Perplexity held up far better, so measure your Reddit wins there first.
My take on this whole section: Reddit only pays off once your own site is worth citing, and an hour a week will not move anything. If you have nobody on the team who is already a Reddit regular with spare time, do the daily brand search and leave the rest alone. But if you are in, play it straight. Reddit rewards the honest and exiles the sneaky, usually in that order.
DATA STORIES
The U-shaped truth about YouTube watch times
Goldilocks would feel right at home on YouTube. Pixability tracked organic engagement across its US clients' videos in Q2 2026, and one length came out just right.
Short and sharp wins, mid-length dies. Videos of 1 to 3 minutes took the crown at 2.2% engagement, with 30 to 60 seconds right behind at 1.3%. Long-form holds up too, with 20+ minutes at 1.2%. Under 30 seconds managed only 0.8%, which suggests that is too short for anything significant to happen.
And then there is the valley of death: videos spanning 3 to 20 minutes came in at 0.3%, the worst performers by far. The chart makes a U-shape with a deep middle. Videos of 1 to 3 minutes engage about 7 times better than anything in the 3 to 20 minute range.
One caveat before you rewrite your content plan: the data covers only Pixability clients, so your channel may differ. And YouTube now allows Shorts up to three minutes, so the winning bucket likely includes many of them. The pattern still reads clearly to me: viewers want either a quick hit or a deep dive. Mid-length videos ask for time without feeling like an event.
The actionable tip is right there. Audit your 3 to 20 minute videos. Cut the best ones into 1 to 3 minute clips, or expand them into 20+ minute deep dives. Stop feeding the middle.
My take on this whole section: this matches what I see with my students' channels. The 8 to 12 minute "standard YouTube video" was optimized for an old algorithm's ad math, not for how people actually watch. Pick a lane: quick hit or deep dive.
QUICK UPDATES
Netflix: Counting on Netflix's new ad tools? Netflix is now expecting about $2.7B in 2026 ad revenue, down from roughly $3B, because some ad features rolled out a bit slower than expected. Subscription revenue outperformed, so the shortfall sits with ads. Before you plan a campaign around a Netflix ad feature, check that it is actually live.
YouTube: Your creator partners may soon have a Shorts quota. In the US, UK, Germany, Brazil, Japan and South Korea, YouTube is testing bonuses for invited creators who post enough Shorts, with one invite asking for 16 a month. Payouts depend on "valid, engaged" views. In a separate test, brands can offer creators bonus affiliate commissions.
Meta: One search exposed 6,800 shared chats from Muse, Meta's new AI agent. Meta put each chat's title in the share link's web address, where public DNS records it, and security firm Claroc found them, including a marketing company's revenue review. Meta has paused sharing. My advice: treat your team's AI share links like public posts.
Bing: First thing searchers see could be your ad. Bing is testing a dedicated sponsored placement at the top of its results page. In one "pest control services cost near me" search, an Orkin ad with an image and a "Get Quote" button sat in its own box, above every organic result.
Google Ads: Finance advertisers in the US and Canada, dig out your paperwork. From early 2027, Google's Financial Services Verification will make you prove that a regulator or recognized registry authorizes you before certain financial ads run. For US banks, Google will use the American Bankers Association's registry, and it will tell you if you need to verify.
PMax: A Performance Max toggle worth watching: a Google Ads coach spotted a new option that saves your asset group changes as an A/B test of your headlines, descriptions, images and videos. You cannot edit mid-test, and the traffic split is unclear. My recommendation: test whole new asset sets rather than tweaks.