Reddit Reviews and ChatGPT Business Hub: What Brands Should Do Now

Two launches on the same day this week tell brand teams where discovery is heading. On November 10, Reddit started testing Reddit Reviews, AI-built product pages assembled from what people say in its communities. The same day, OpenAI opened Businesses in ChatGPT, a beta Business Hub where companies can claim their listing, see how often ChatGPT mentions them and, for some, publish an AI agent that answers questions for them.

Both point the same way. When a buyer researches a brand, more and more of what they read is an AI summary of conversations, and the brand doesn't write those conversations. Here is what launched and what I would do about it if I were running social for a brand with real budget.

What Reddit Reviews actually is

Reddit Reviews takes comments about a product from across the platform and turns them into a single overview page. Each page shows an AI summary, a breakdown of positive, mixed and negative conversations, common likes and dislikes, and the products people tend to compare it with. Readers can filter the comments by topic and jump into the original threads to ask follow-up questions.

According to reporting from Social Media Today and The Next Web:

• The test covers roughly 10,000 frequently discussed products and is rolling out to US users on iOS, Android and the web over the coming weeks.
• Reddit says the pages draw only on organic community conversation. Brands can't pay to be featured, and Reddit says it takes no cut of purchases made through the buy button.
• Brands and retailers can supply images, prices and purchase links, but they don't control the summary.

In practice, years of Reddit threads about your product (praise, complaints, comparisons with competitors) can now become a tidy, searchable verdict.

What Businesses in ChatGPT offers

OpenAI's Business Hub lets owners and authorised representatives claim their business's profile in ChatGPT, correct the information shown and view aggregate insights over a 28-day window: mentions, clicks to the website and the recurring "discovery topics" in conversations where the business comes up. OpenAI says it doesn't share individual conversations, and metrics only appear once they pass minimum thresholds.

Eligible US ecommerce and online service companies can also publish a Business Agent, a branded assistant that answers shoppers' questions using information the business provides. ChatGPT labels those conversations so people know they are talking to the seller's agent. Reports from VentureBeat and Search Engine Roundtable say it is free during the beta, verification runs through phone, domain, email or Shopify, and OpenAI is separately testing ads that send people to these agents.

Why this is a social media problem, not just an SEO one

It's tempting to file both launches under "search" and pass them to the website team. I'd push back on that. What feeds these summaries is social conversation: community threads, comment sections, creator reviews, the posts people share when something goes right or wrong. If your brand's social strategy is only about what you publish, you're managing the smallest part of what an AI will say about you.

A few implications I'd flag to any marketing leader:

• Community sentiment is now packaged as a verdict. One recurring complaint that nobody answered for two years can become a headline "dislike".
• Comparisons are visible. Reddit Reviews shows which products people compare you with, which is free competitive intelligence and a positioning risk at the same time.
• Your owned facts need to be accurate everywhere. Assistants pull from what they can find. Out-of-date bios, old pricing pages and abandoned profiles create wrong answers.

What I'd do in the next 30 days

1. Run a conversation audit, not just a channel audit

Search Reddit for your brand, your top products and your category. Note the recurring praise, the recurring complaints and the competitors people name. Do the same in ChatGPT: ask what it recommends in your category and how it describes you. This belongs in any social media audit now.

2. Claim what you can

If you're eligible, claim your Business in ChatGPT listing and make sure the details are right. Assign an owner, the same way someone owns your Google Business Profile. Don't publish an agent until legal, customer care and social agree on what it can and can't say.

3. Close the loop on recurring complaints

The fix for a bad summary is rarely a reply-guy campaign. It's fixing the product or policy issue, then saying so in the places where people raised it. Social and customer care should share one list of the top five recurring issues and review it every month.

4. Invest in real community and creator voices

AI summaries reward volume and consistency of genuine conversation. A steady creator program and authentic participation in the communities where your buyers talk will do more than any one campaign. Don't plant fake reviews or astroturf threads. Communities spot it, and it's the fastest way to make a summary worse.

5. Add AI visibility to your reporting

Mentions and clicks from ChatGPT, plus a monthly check of your Reddit Reviews page if you have one, belong next to reach and engagement in your executive KPIs. Treat them as directional: OpenAI itself notes that recorded clicks don't confirm visits or conversions.

The bigger picture

Both features are early tests and will change. The direction is clear, though: buyers are getting their first impression of brands from AI summaries of social conversation. The brands that come out well will be the ones whose communities have good things to say, and who keep up with what's being said about them.

Sources: Social Media Today, "Reddit Tests AI-Compiled Product Reviews" (Nov 10, 2026); The Next Web, "Reddit Reviews uses AI to summarise what users say about 10,000 products"; OpenAI, "Introducing Businesses in ChatGPT"; VentureBeat, "OpenAI lets you claim your business in ChatGPT and set up a custom agentic AI customer sales rep"; Search Engine Roundtable, "Businesses in ChatGPT Business Hub Live With Click Data" (Nov 10, 2026).

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TikTok Buy Direct: Holiday Social Commerce Checklist

On October 5, at Advertising Week New York, TikTok introduced what it calls its "Agentic Commerce" push. Two parts matter most to brands heading into the holidays: Buy Direct, an in-app checkout, and Shopping Assistant, a conversational AI agent. Here is what was announced, what is still unknown, and what I would do between now and Black Friday.

What TikTok announced

• Buy Direct: according to reporting from TechCrunch, it lets users buy from a brand with one click from the For You feed, using stored payment methods and saved addresses, with in-app order tracking.
• Merchant of record: the brand remains the merchant of record. That detail matters for customer data, returns and service, because the sale does not become TikTok's.
• Shopping Assistant: a conversational AI agent that answers questions on sizing, shipping and availability.
• TikTok Ad Network: TikTok also opened TikTok Ad Network (TTAN) to US advertisers.
• TikTok Shop: for Black Friday and Cyber Monday, reporting indicates the focus is on LIVE Shopping.

What was not disclosed matters as much: the markets, the general launch date and the fees. Coverage so far describes the feature and its direction, not a full rollout you can plan a media budget around.

What this means for brands

The path from discovery to purchase just got shorter

A viewer who sees a product in the feed can, in principle, buy without visiting a site or building a cart. That removes friction, and it also removes the page where you normally tell your story, upsell and capture an email address. If Buy Direct reaches you, your video has to do more of that work on its own.

Your product information becomes the script for an AI

Shopping Assistant answers questions about sizing, shipping and availability. Those answers can only be as good as the information your catalog and policies provide. Inconsistent size charts, vague shipping windows or out-of-date inventory feeds become public mistakes.

Merchant-of-record status keeps responsibility with you

Because the brand stays the merchant, fulfillment promises, returns and customer service remain yours. A faster checkout can create faster disappointment if operations cannot keep pace during peak season.

Two commerce paths are competing for your holiday attention

Buy Direct is one route. LIVE Shopping, which TikTok Shop is emphasizing for Black Friday and Cyber Monday, is another. Most brands will not have the resources to do both well in the same six weeks.

What to do before the holidays

1. Find out whether you can access it. Ask your TikTok representative or agency directly about availability, eligibility and fees. Do not budget for a feature whose terms have not been published.
2. Clean up product data. Align size charts, shipping times, return policies and inventory across your site and any TikTok catalog. Consistency is what an AI assistant depends on.
3. Write down your answers to the top ten customer questions. Sizing, delivery cut-offs, gift options, returns, stock. Use them for your site, your community management and any assistant training you can influence.
4. Build videos that sell without a landing page. Show the product in use, state the offer and the reason to buy, and make the next step obvious. This is a creative brief change, not only a media one.
5. Stress-test fulfillment. Confirm last order dates, stock buffers and support staffing for peak days. Decide what happens if a viral post outpaces inventory.
6. Choose your Black Friday lane. If you have a host, a product that demonstrates well and the staff to run it, LIVE Shopping may fit. If not, put your effort into strong always-on video and let checkout be a bonus.
7. Plan measurement now. Decide how you will separate in-app purchases from site purchases, and what you will compare against last year. Executives will ask, so agree on the KPIs that matter at the leadership level before the campaign starts.
8. Brief your creators. If creators drive your TikTok sales, make sure they know your offers, dates and claims, and that your partnership terms cover commerce-driven content. This is where a structured approach, as I describe in creator programs versus one-off influencer posts, pays off.

My take

Shopping inside social platforms is not new, but one-click purchase from the feed, plus an AI that answers pre-purchase questions, moves TikTok closer to being a store as well as a channel. That is useful for brands with strong products and tidy operations, and risky for those without them.

It is also early. Without a confirmed launch date, markets or fees, the responsible move is preparation, not commitment. Get your data, creative and fulfillment ready, ask the hard questions of your TikTok contacts, and avoid building a holiday plan around a feature you might not have access to by Black Friday. For help fitting commerce into a wider plan, see my social media services.

Sources: TechCrunch, October 5, 2026, and TechRepublic's coverage of the one-click checkout and AI shopping assistant.

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Instagram Tests 90-Minute Videos: What Brands Should Know

Instagram has spent years positioning itself as the home of short, vertical video. Now it is testing the opposite. According to reporting from SocialDay and other outlets, Instagram has begun testing horizontal videos of up to 90 minutes, called Features, with select US creators. For brands, the news matters less as a product launch and more as a signal about where creator partnerships may be heading.

What is actually happening

Here is what has been reported, kept to what the coverage supports.

• The format: Features are horizontal videos up to 90 minutes long.
• The rollout: the US test began October 26, following a trial in Brazil. Reporting suggests it could expand to tens of thousands of US creators.
• Distribution: Features attach to Reels and may be recommended on Explore.
• Clips as Reels: a separate test lets participants link up to eight Reels clips to a longer video, so short content can lead people to the full piece.
• Money: there is no ad revenue share for long-form at launch. Instagram is funding some creators directly, and an Instagram representative said it is "too early to share a long-term monetization model."
• Context: Instagram head Adam Mosseri said, "For a long time, I have been against doing long-form video on Instagram." Instagram is also reportedly testing an option that opens the app directly to Reels.

Everything above is a test. Formats, eligibility and economics can change or disappear. I would plan around the direction, not the details.

Why this matters for brands

Creators will start asking for more

If a creator you work with is in the test, or expects to be, their incentives shift. Some will be funded directly by Instagram and may want different deal structures. Others will want to build long-form work that your brand could either sponsor or be left out of. Expect conversations about integrations, series and ownership to get more complicated.

Long-form changes what a sponsorship is

A 15-second Reel integration and a 40-minute video are different products. A long video can hold a real story, a demonstration or a conversation. It can also bury a brand mention in the middle where few people reach it. The strength of the format is depth, and brands that use it well will behave more like producers than advertisers.

Measurement is unsettled

With no ad revenue share at launch and no confirmed monetization model, there is no established benchmark for what a long-form view on Instagram is worth. I would be cautious about any agency or creator who promises predictable returns right now.

The Reels-to-Features loop is the strategic bit

The "Clips as Reels" test is, to me, the most interesting detail. It suggests Instagram wants short clips to act as the front door for longer videos. That mirrors how many brands already think about content: a long anchor piece, cut into many small ones. If you already work this way, Instagram may become another place to host the anchor. If you don't, this is a reason to start. The idea is covered in more depth in my post on building a brand content series.

What to do now

1. Do not rebuild your Instagram plan. This is a test with select creators. Keep your current Reels and Stories cadence going.
2. Ask your creator partners where they stand. Are they in the test? Are they being funded by Instagram? Do they plan to make Features? Their answers affect availability, exclusivity and pricing conversations later.
3. Review contract language. Check usage rights, exclusivity, disclosure and content-length terms. Agreements written for short posts may not address a 60-minute video. This is a good moment to revisit whether you run a creator program or one-off influencer posts, because long-form rewards ongoing relationships.
4. Inventory your long-form assets. Webinars, interviews, product demos, panels and events you already own are candidates to test if the format opens to you. If the footage exists, you lose little by being ready.
5. Plan the cut-down. For any long video, decide in advance which moments become clips, what each clip's job is, and where it points. Design for the loop, not for the upload.
6. Set a small, honest test budget. If you try a sponsored long-form piece, define success before you start, whether that is watch behavior, saves, follows or traffic, and be clear that the data is exploratory.
7. Keep YouTube in the picture. Long-form already has an established home. Do not move what works there on the strength of a test.

My take

Instagram's own leader has been publicly skeptical of long-form, so this is a notable reversal of direction, even in test form. I read it as a response to where attention and creator income are going, and as an attempt to keep creators from taking their best work elsewhere.

For brands, the opportunity is real but premature. The sensible stance is curiosity with discipline: learn how your creators are thinking, get your contracts ready, and build assets you can use anywhere. Measurement frameworks for the format do not exist yet, so anything you try should be labeled as a test. If you need help structuring that, my guide to a social media strategy framework is a good place to start.

Sources: Reporting from SocialDay and Social Media Today roundups, plus TechRepublic's coverage of Instagram Features and The Next Web's report on the 90-minute test.

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LinkedIn's AI Slop Crackdown: What Brands Should Do Now

LinkedIn has been telling us for a while that it wants fewer generic posts in the feed. Now we have specifics. According to reporting from SocialDay, LinkedIn VP of Engineering Tim Jurka said the platform's "AI slop" classifiers now check every post that is distributed beyond the author's immediate network. If you run a company page or ghostwrite for executives, this changes how you should plan content.

What LinkedIn announced

Here is what has been reported so far, and I'm flagging where details come from the platform versus secondary coverage.

• Scope: the classifiers review posts before they travel past first-degree connections.
• Accuracy: the system reportedly has 94% precision at detecting generic content.
• Definition: LinkedIn describes slop as "generic and/or repetitive posts that added no real insight."
• Consequence: flagged posts lose reach in recommendations beyond first-degree connections. They are not removed.
• Impact: reporting cites about 40% fewer views for content classified as slop.
• Member signals: people can now flag a post with a "Seems like AI slop" option, and LinkedIn plans to notify authors.

The detail I would underline is the definition. LinkedIn's Chief Product Officer said "AI and slop are not the same thing." The target is not AI-assisted writing. The target is content that adds nothing. That is a quality standard, and it is one good brands should already be holding themselves to.

What it means for brands and executives

Distribution is now a content-quality test

Your network will still see your post. The risk is that it never reaches anyone beyond it. For company pages that rely on employees and followers to extend reach, and for executives building authority with people outside their immediate circle, that outer ring is the entire point of posting.

Templated thought leadership is the biggest exposure

The posts most likely to be caught are the ones I see constantly: a bold opening line, a numbered list of obvious tips, a tidy lesson, and a question at the end. Whether a person or a model wrote it, it reads the same as a thousand others. If your content calendar is built from prompts like "write a LinkedIn post about leadership," you are producing exactly what a classifier is trained to recognise.

Repetition counts too

The definition includes "repetitive." Brands that cross-post identical copy from executives, employees and the company page, or recycle the same talking points every week, may be easier to flag than they realise. I would treat that as an inference from LinkedIn's wording, not a confirmed rule about how the system treats duplicate content.

Reader flags add a second layer

With a "Seems like AI slop" option in the hands of members, your audience now has a direct way to signal that a post wasted their time. Expect your most visible, most polished-but-empty posts to be the first to get that reaction.

What to do now

1. Audit your last 20 to 30 posts. Mark each one as either "adds something only we could say" or "could have been written by anyone." Compare reach between the two groups. This is the fastest way to see whether you have a problem. The same method works as part of a broader social media audit.
2. Require a point of view in every post. Before anything is published, someone should be able to finish the sentence: "The insight here is..." If they cannot, the post is not ready.
3. Anchor posts in proprietary material. Customer questions, internal lessons, real decisions, product trade-offs, event observations and original data you own. Slop is generic by definition, so specificity is your protection.
4. Keep AI as a tool, not an author. Use it for outlines, edits, summaries and research. Do not use it to generate the opinion. Executives' posts in particular should start from something they actually said or did.
5. Vary structure and voice. Retire the repeated hook formulas. Mix short observations, longer essays, documents and video, and let each person on your team sound like themselves.
6. Brief executives and employee advocates. Make sure everyone who posts on the brand's behalf understands what is changing, and that copy-paste amplification of company posts is not a strategy.
7. Watch the numbers that matter. Track reach beyond your followers and engagement quality, such as substantive comments, rather than raw impressions alone. If you report upward, frame these as executive-level KPIs so a dip caused by lower-quality posts is visible early.
8. Prepare for author notifications. LinkedIn plans to notify authors. When that arrives, treat it as feedback and log which posts get flagged so you can learn from patterns.

My take

I don't see this as a punishment for using AI. I see it as LinkedIn raising the cost of being forgettable. For brands that already publish with a clear point of view, the effect could be positive, because there should be less noise competing with them. For brands that have been scaling output without scaling thinking, it is a correction that was coming.

Some details are still unclear, including exactly how the classifier weighs different signals and how appeals or notifications will work. I would not rewrite your whole approach on the strength of one report. I would, however, start measuring now so you have a baseline before the changes fully land.

Sources: Reporting from SocialDay on Jurka's announcement; see also Social Media Today's coverage of LinkedIn's approach to AI slop and Campaign's report on the "Seems like AI slop" button.

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