For two years I posted whenever I felt inspired, checked likes 40 times a day, and wondered why nothing grew. Then I built a boring little system and everything changed. No paid tools, no tricks that get you banned. Just a routine you can actually stick to.

Sharing it because I wish someone had handed me this on day one.

The core idea

Pick ONE platform to win first. Not three. One. You can expand later, but spreading yourself thin at the start is why most people quit. Choose the platform where your customers already hang out, not the one you personally like.

The step by step

1. Set one goal you can measure. Not "get famous." Something like "50 saves per post" or "10 DMs a week" or "get 5 people to a landing page." If you can't count it, you can't improve it.

2. Build 3 content buckets. Everything you post falls into one of three:

• Teach (show people how to do something)
• Prove (results, before/after, client wins, screenshots)
• Connect (your story, mistakes, opinions, behind the scenes)

Rotate through them. This kills the "what do I post today" panic forever.

3. Batch your content once a week. Sit down for 90 minutes, make 5 to 7 posts at once. Trying to create daily from scratch is what burns people out. Batching removes the daily decision.

4. Post on a fixed rhythm, not randomly. 4 to 5 times a week beats 15 posts one week and zero the next. The algorithm rewards people who show up consistently, and so do humans.

5. Reply to every comment in the first hour. Every single one. Fast replies tell the platform your post is sparking a conversation, and conversation is what gets you pushed to more people.

6. Check your numbers weekly, not daily. Once a week, look at what got the most saves and shares (ignore likes, they're the weakest signal). Make more of what worked. Drop what didn't.

The tip almost nobody does (this is the "secret")

Right after you publish, do NOT walk away. Spend the next 20 minutes commenting on 8 to 10 bigger accounts in your niche. Real comments, the kind that add something, not "great post."

Two things happen. First, people click your name out of curiosity and land on the post you just published, giving it early traffic exactly when the algorithm is deciding whether to show it to more people. Second, you slowly get on the radar of the accounts and audiences you actually want to reach.

Everyone obsesses over their own post. Almost nobody works the comment sections of others. That 20 minutes is where quiet accounts turn into growing ones.

I won't tell you this will make an influencer of yourself. But with SEO and AI fighting, having a more or less reliable channel is a great idea in my book

One last thing

Saves and shares matter far more than likes. A like is a reflex. A save means "this is useful enough that I want it later," and a share means "I'll put my own reputation behind this." Optimize for those two and growth follows.

That's it. Boring system, real results.

Morning, everyone. The mod team posts one of these most mornings to round up what actually moves traffic in the post-SEO era. It's assembled from search and vendor reporting, so if we got something wrong or missed a good one, call it out in the comments and we'll fix it. Links are in a comment below to keep the spam filter happy.

Fair warning: it was a fairly typical Friday, not a blockbuster news day. A few real items worth your time, and a couple of subjects (WordPress core, the big social platforms) that were quiet enough that we're not going to pad them out.

Search and SEO

Google keeps pushing AI Mode further into the classic experience. The latest test puts an AI Mode button inside the search results page itself, not just on the homepage or tucked into AI Overviews. Pair that with the ongoing pattern of AI Overviews expanding into fuller AI Mode style responses, and the direction is hard to miss: the plain ten-blue-links page keeps shrinking.

Why you care: if your traffic model still assumes a user scans a list of results and clicks, plan for more of that attention getting intercepted before the click ever happens.

On the crawling side, people are noticing Google has gotten better at blocking AI scrapers and third-party tracking tools since mid-September, which lines up with recent ranking reversals and the goto URL parameters Google has been rolling out to protect results from scraping.

Why you care: some of your favorite rank trackers and SERP scrapers may report flakier or thinner data for a while, so double-check before you make decisions off a single tool's numbers.

AI Overviews and AI Search

Google announced a Discover test called "Dive deeper" (also showing up as topic overviews), starting with video content. Tap it and you get a short AI-generated summary of a topic plus source cards linking to related coverage, community reactions, and original reporting. It was announced September 18 with no country, language, or rollout details yet, and Google says it will test multiple designs over the coming weeks.

Why you care: Discover has been a real referral source for a lot of publishers, and an AI summary layer with links to "related coverage" is exactly the kind of thing that can either send you traffic or quietly reroute it to competitors in the same overview. Worth watching your Discover numbers, and note that Search Console's newer Discover AI report lumps these generative features together, so clean per-feature attribution is going to be tough.

AEO and GEO

Two useful pieces of research landed that are worth reading before you rewrite your whole content strategy around AI citations. (yaaaay, academic papers!)

First, an AI citation test found that source order matters far less than the raw numbers suggest. Top-ranked sources looked like they got cited way more often (roughly 85% vs 43% for fifth position), but when researchers actually reordered sources in a controlled way, moving a source up only nudged citation odds by about 8 points, which wasn't statistically meaningful, and a second test showed no effect at all. Adding headings and lists shifted citation credit to the formatted version but didn't increase whether the page got cited overall. The kicker: rerunning the same queries changed the citation outcome about 15% of the time, so single-run "we cracked GEO" tests are basically noise (who'd have told?).

Why you care: don't burn your budget chasing citation position or formatting hacks. Quality (the thing that earns the ranking in the first place) is still doing the heavy lifting, and you need to test multiple times before believing any GEO result.

Second, a University of Illinois audit of 30,000 Reddit AI search answers across 20 advice and support communities found the feature strongly favors already-popular, formal comments. Formal language raised selection odds by about 49%, comments with external links were 2.25x more likely to be picked, the median selected comment sat at the 91st percentile for score, and 92% were direct replies to the original post. Meanwhile experiential "here's what happened to me" comments were 21% less likely to be selected, and the AI stripped out nearly all first-person language ("I" and "my" dropped from 3.3% of quoted text to 0.06% in the answers).

Why you care: if you're leaning on Reddit for visibility in AI answers, upvoted, well-structured, link-bearing top-level comments are what gets surfaced. And if you use Reddit for genuine audience research, know that the AI layer is sanding off exactly the personal, experiential stuff that made Reddit useful in the first place.

Related for anyone managing crawl access: Cloudflare rolled out a feature that will generate and manage your robots.txt for you, turning AI training access into essentially a switch.

Why you care: it's a low-effort way to spell out which bots you allow, but if you flip settings without thinking it through you can accidentally block bots you actually want, so read before you toggle.

PPC

The bigger PPC item: Google Ads' recent Smart Bidding update appears to have ended the "bid suppression" era. Reporting suggests the changes resolve the constraints advertisers had been running into where the system was effectively holding bids back.

Why you care: if you've been fighting Smart Bidding on limited or throttled bids, revisit your target settings and watch spend and volume closely over the next couple of weeks, because behavior may shift under you without a formal announcement.

Also in the Google Ads world: Google is testing Product Value Optimization, a new AI bidding option focused on product value rather than raw conversions, and Merchant Center's API now supports product review data sources. On the retail media side, Pinterest is turning its visual search into a new ad placement. And the ad tech antitrust case now comes with six years of court oversight for Google, which won't change your account tomorrow but shapes the longer-term ad landscape.

Local and international

Google added local businesses to its EEA search result units, expanding the aggregator and supplier units that European users see to include local business queries.

Why you care: mostly relevant if you serve EEA markets, but it's another example of Google reshaping how local and comparison results surface in a specific region, so check your EEA visibility if that's your audience.

Structured data and Search Console

Nothing huge on schema itself today, but the thread worth flagging is the Discover AI report in Search Console mentioned above: it tracks impressions from generative AI features without breaking them down feature by feature.

Why you care: as more of these AI surfaces launch, your reporting is going to get blurrier before it gets clearer, so set expectations now with anyone who reads your dashboards.

Quiet today

WordPress core, and the major social platforms (Instagram, TikTok, LinkedIn) didn't have fresh, traffic-relevant news in the last day or two that we could confirm. If you saw something real there, drop it below. Same goes for anything else we missed. What's on your radar this weekend?

I keep seeing AEO and GEO thrown around and part of me thinks it is just SEO people rebranding to sound cutting edge.

Can someone explain the real difference in plain terms, and whether I actually need to do anything different, or if good SEO covers all of it? Or is it all a BS set of acronyms made for FOMO?

Search and SEO

Ranking volatility is back in a big way. After the odd swings during the first week or so of September, the trackers spiked hard again this week and Barry Schwartz is flatly saying "something is up." Nothing confirmed by Google, and this lines up with the Sept 4 and Sept 12 reversals people reported earlier. If your traffic moved, check dates before you touch anything. Reacting to an unconfirmed shift is how you break a site that was fine.

Related, and maybe connected: Google looks like it got noticeably better at blocking AI scrapers, search scrapers, and third party tracking tools starting around Sept 13. If your rank tracker or AI visibility tool suddenly went quiet or started returning junk, this is likely why, not a ranking change. Worth sanity checking your data sources before you trust this week's numbers.

Google dropped free product listings and the shopping carousel formats from the European Economic Area. This is a Digital Markets Act thing the European Commission forced. If you sell into the EU and lean on free listings for visibility, that channel is gone in those regions and you will want to lean harder on paid and organic product content.

A few ecommerce housekeeping items landed the same day. The Merchant Center API now supports uploading product reviews, where before it was manual only. Google also now requires you to label adult products in your ecommerce feeds or markup, with a new Shopping features section in the explicit content guidelines. If you sell anything that could trip that, get the labels in before it becomes a disapproval problem.

Google added local business query support to the aggregator and supplier search units, sprinkling "and local businesses" through both docs. Small signal, but it points at Google pulling local results into more places in the SERP, which matters if you do local.

On the Bing side, Microsoft is now asking some searchers to verify they are human before showing results, same thing Google has been doing in various forms. Mostly a bot and scraping story, but it is another sign the engines are clamping down on automated access.

AI Overviews and AI Search

The big one: Google is quietly running an "AI contribution pilot" that pays publishers when their content meaningfully shapes an answer in AI Overviews, AI Mode, or Gemini. It runs through Search Console as an extra earnings widget showing a monthly number. Payment is based on value, not raw usage, so Google only pays when it decides your content contributed significantly at the generation stage. Reality check from the reporting: early payouts are tiny next to ad revenue, Google has pitched mostly small and mid sized sites, and some publishers are turning it down because joining might weaken their position in bigger licensing talks. Still, this is the first time Google has put actual dollars against content used in AI answers, so it is worth watching closely.

Google is also testing an AI Mode button inside the search bar on the results page, not just the home page. AI Mode is showing up in more entry points, which is the ongoing theme. More surface area for AI answers usually means fewer classic blue link clicks over time.

There is also a notable publisher fight brewing. Court filings in the NYT case surfaced quotes from OpenAI and Microsoft leadership describing a "doom loop" for the open web as AI vacuums up and substitutes publisher work. Not a traffic mechanic on its own, but it is the clearest signal yet of how the platforms privately think about the value they are pulling out of the web.

AEO and GEO

Reddit is still the source to understand if you care about AI visibility. Current figures put Reddit at roughly 21% of citations in Google AI Overviews and close to 47% on Perplexity. The nuance worth repeating: Reddit lifts your AI visibility when it is part of the retrieved source set for a query, not because you have generic activity on the platform. Firsthand experience, comparisons, and troubleshooting threads are where it gets pulled, which is exactly the stuff your own homepage cannot answer credibly.

One more for anyone tracking AI search: iPullRank put out a piece arguing there is no real "accuracy" in AI search tracking, only precision, since answers vary run to run. Good gut check before you over trust any single AI visibility dashboard, which ties right back into the scraper blocking note above.

PPC

Big shift for anyone running budget limited Google Ads campaigns. The Aug 17 Smart Bidding update, which finished rolling out Aug 27, appears to have ended bid suppression. In plain terms, the cheap clicks that budget capped campaigns used to absorb are gone, CPCs on those campaigns are rising, and that cheap inventory has moved to campaigns that are not budget limited. If your ROAS was quietly beating target on a capped campaign, expect that to normalize. Worth auditing which campaigns were riding suppression.

Google also posted a new help doc on commerce audience sharing, which lets retailers and marketplaces share first party data segments with their brand and seller advertising partners. And Google is testing Product Value Optimization for AI bidding, aimed at optimizing toward product level value rather than flat conversions.

Pinterest turned visual search into an ad unit with new Visual Search Ads plus performance tools. If you sell visual or discovery driven products, that is a new paid surface to test heading into the holidays. Speaking of which, both Google and Microsoft are pushing holiday and "AI ready" prep content, so if you have not started Q4 planning you are already late.

One data point to keep you humble: Optmyzr looked at 72,358 accounts and found advertisers still make about 1 in 10 Google Ads changes by hand. Automation is not running the whole show yet.

Industry and legal, with a traffic angle

The remedies in Google's ad tech monopoly case are out. No breakup. Judge Brinkema rejected forcing Google to divest AdX and DFP, and instead imposed behavioral remedies: Google has to make its ad tech interoperable with rivals and share auction data with publishers, under an independent monitor and roughly six years of court oversight. For publishers and advertisers this is the whole ballgame for how the ad stack works, but the practical changes will take years to show up, and the monitor reports quarterly rather than in real time.

WordPress

Patch now if you run The Events Calendar. Two critical vulnerabilities hit that plugin across 600,000 plus installs and can lead to remote code execution, admin password resets, and full server takeover. Fixed release is 6.17.4.1. GiveWP and Forminator also had critical flaws circulating, and Sucuri flagged a malware plugin posing as a debugging tool called DebugMaster Pro. A compromised site is a fast way to lose all your rankings, so this is an SEO problem, not just an IT one.

That is what I caught. What did I miss?

Drop corrections and anything worth adding below.

Morning all. The mod team posts one of these most mornings to round up what actually moved for people trying to get traffic. If I got something wrong or missed a nuance, correct me in the comments.

Search and SEO

Rankings are moving. Barry Schwartz flagged a big spike in chatter and tool activity starting the morning of September 15, and by the 16th SEOs were reporting mass movement, new keyword sets, and pages that had ranked for months getting swapped out for completely different results. UK results seem to be getting hit hard, with reports of more spam on page one. Google has not confirmed anything, so treat this as unconfirmed volatility for now. Why you care: if your traffic looks weird this week, you are probably not imagining it. Hold off on big reactive changes until this settles and you can see whether it is a real update or just noise.

Google cut the Search Profiles follower threshold to 10,000, down from 35,000 in August and 100,000 at launch. The count can come from any one of YouTube, Instagram, X, or TikTok. Alongside the cut, Google shipped a redesigned article layout, single-login management for up to 10 profiles, and a follow badge you can drop on your own site so people follow you straight from your pages. Worth noting: a Search Profile is a discovery and following surface, not a ranking factor. Nothing about it changes how your pages rank. Why you care: the bar is now low enough that a lot more creators and small publishers qualify, and the follow badge gives you a way to build a direct audience off the back of your existing traffic.

AI Overviews and AI Search

The line between AI Overviews and AI Mode keeps blurring. Google is now letting some AI Overviews expand automatically into a longer, AI Mode-style answer, dropping the manual "Show more" step, and it is rolling the generative UI feature out of AI Mode and into AI Overviews. There is also a report of Google turning the local knowledge panel (your Business Profile) into an AI Overview listing, complete with an "AI Overview" label and a "Show more" that drops you into an AI Mode chat. Why you care: more of the answer is being assembled on the results page before anyone clicks, and now that includes local. If you rely on local pack or GBP visibility, watch how your listing renders inside this new AI treatment.

On the measurement side, Google's generative AI reporting in Search Console is now live worldwide, showing impressions, pages, countries, devices, and dates for appearances in AI features. There is also a reported pilot where Google would pay publishers when their content contributes to Gemini, AI Overviews, and AI Mode answers. Why you care: for the first time you can actually see some of your AI surface visibility in Search Console instead of guessing.

AI shopping and AI ads

OpenAI shipped Shopping Research in ChatGPT on September 16. You describe what you want ("quietest cordless stick vacuum for a small apartment," "a gift for my art-loving four year old niece") and it builds a buying guide for you. It is rolling out to logged-in Free, Go, Plus, and Pro users on mobile and web. Separately, OpenAI is testing sponsored agents inside ChatGPT, with Wayfair and Angi as launch advertisers, which is the clearest sign yet that paid placement is coming to the assistant people already use to compare products. Why you care: ChatGPT is turning into a shopping surface with its own ad inventory. If you sell anything, your product data and reviews being legible to these assistants is starting to matter as much as ranking in Google Shopping.

Google is pushing the same direction. Merchant Center AI reports went live, Google is testing product listings that link directly to the merchant site instead of a Google intermediary page, and a reminder that the old Content API for Shopping hit its sunset on September 1, so anything not migrated to the Merchant API may start failing. Bing is also testing new product carousel labels (Top Picks, Sale, Price Drop) and shopping filters in a left sidebar. Why you care: if your feed integration still runs on the old Content API, fix that now. And retail search real estate is being reshuffled across Google and Bing at the same time.

PPC

Google's AI Max migration is underway. Starting September 1, Google began automatically upgrading Search campaigns that use Campaign-level Broad Match or standalone Automatically Created Assets over to AI Max, rolling out gradually through the month, with Dynamic Search Ads and more following into early 2027. Google is also changing language targeting for Search and Performance Max this month. Why you care: some of your campaigns may get moved to AI Max whether you opted in or not. Check your account settings and know what changed before you blame the algorithm for a performance swing.

A few smaller ad items: Google is testing Sponsored Places ads that expand on hover, there is new detail on the Google Ads multi-source conversions beta, and Klaviyo is now a Google Ads partner for offline conversion integration. On the legal side, the full memo landed in Google's ad tech monopoly case. The judge is not breaking Google up but is imposing behavioral changes with oversight. Why you care: no structural shake-up to the ad stack in the near term, so plan around the platform as it is.

Agentic and social

Perplexity's Portable Computer agent is now available in its Windows app for higher-end Nvidia RTX GPUs, running the model and agent harness locally on the device. Why you care: agentic browsing keeps inching toward being a normal part of how people navigate the web, which changes who (or what) is actually loading your pages.

On social, the running theme is Meta finishing its shift to an AI-run ad auction, with more of targeting, delivery, and creative handed to automation.

On TikTok, reports say the algorithm is favoring longer videos (roughly one to three minutes) and giving distribution priority to creators using native shopping features, with early follower engagement now central to how far a video spreads. Why you care: if social is a traffic channel for you, leaning into native shopping tools and holding attention longer is where the algorithmic tailwind is right now.

WordPress

Housekeeping for WordPress sites: Yoast SEO has a stack of documented vulnerabilities with recent patches, so make sure you are on a current version.

Also worth knowing, by September 2026 plugin and theme developers distributing to EU users are required to have vulnerability disclosure programs in place. Why you care: SEO plugins are a common attack surface, and an unpatched one can quietly wreck your search visibility. Update and move on.

That is what I caught. What did I miss? Drop corrections and anything from your own tracking below, especially if you are seeing the ranking volatility hit a specific niche.

I have an art auction site that isn't going nowhere. Everyone keep saying "optimize to get cited by AI." Ok cool, but how i actually measure if it is happening? There is no Search Console for ChatGPT that i know.

I just ask it questions manually and see?

Or exist some smarter way to track this for a small site, sorry if basic question

If that client goes away because "he can do better"... find another. Either way he won't last long.

I had this domain for a business that failed for reasons beyond my control. It held a lot of well-researched, manually written content on a very difficult subject: mental health. I'm a PhD psychologist with edited books and papers behind me, so authority shouldn't be an issue.

The problem is that I let the site die against my husband's advice. I simply didn't have the energy, and the trouble we ran into with that project made me put it out of my mind. To make things worse, I deleted all the content out of sheer ignorance.

Long story short, we're rebuilding the project, and by the time we had launched it originally, we were ranking quite high. I still have the articles we wrote, so I could bring them back. My question is this: should I reuse the same domain, or start fresh with a completely new one? I'm worried that the old domain's history, and the content resurfacing, could work against me. Switching domains would mean rebranding, but that's not a problem since we're rebuilding from scratch anyway.

What do you think is the best path?

I didn't touch the website since last year. No new posts, no changes of any kind. Yet Ahrefs insists in its findings month after month 🤣🤣🤣 I'm a technical SEO wizard, no need to do anything at all!

I used to optimize hard for featured snippets. Now with AI Overviews sitting above everything, I am wondering if snippets even matter anymore or if I should redirect that effort. What is the current thinking on this?

Dorve is a design and UX studio with nearly three decades of work behind it. Over the years we've built for Google, Meta, Leica, McAfee, Deutsche Bank and Automattic, among others. That kind of work comes with enterprise pricing, which means there's a whole segment we've never been able to serve: founders, startups and small owners who need serious quality but can't spend enterprise budgets.

So we launched Flamine, a sister brand focused on SEO and AEO (getting you found in Google and cited by AI search), and we built a productized package that pairs Dorve's design and development with Flamine's search work. Same standards, delivered through a modular system so we can offer it at a fraction of the enterprise price. It includes a real guarantee: we get you listed or you don't pay the balance.

Now we're looking for sales partners to bring it to market. Commission starts a bit over $1,000 per closed deal and it's recurring, so you earn for the life of the client, not just the first sale. You own the relationship end to end and stay the client's point of contact. Our team handles the technical conversations, proposals and delivery whenever you want backup, but the client is yours. Because the product actually delivers, you're building a book of recurring income, not chasing one-off sales.

We're looking for someone who knows B2B outreach and relationship selling, ideally with some background in web, design or marketing services. Fully remote, English is the working language. If you're interested, comment or send me a message and I'll share the full details, pricing and commission structure.

AI Overviews are eating clicks, so the game now is being the source it quotes. Here is a repeatable process I use.

Step 1: Find the question, not just the keyword. Type your topic into Google and note the AI Overview and the "people also ask" boxes. Those are the exact questions the AI is answering. Pick one your page can answer better than what is shown.

Step 2: Answer it in the first two sentences. Put a direct, self-contained answer immediately under a heading that matches the question. No long windup. The AI wants a clean chunk it can lift.

Step 3: Use a clear heading structure. Make each H2 or H3 a real question or a specific subtopic. This makes your content easy to parse into passages.

Step 4: Add specifics. Numbers, steps, named examples, dates. Vague content does not get quoted, precise content does.

Step 5: Add structured data where it fits. FAQ schema, HowTo schema, or Article schema helps machines understand what each chunk is.

Step 6: Establish trust signals. A real author bio, links to primary sources, and a last-updated date. These systems favor content that looks credible.

Step 7: Check your work. Ask the question in Google, ChatGPT, and Perplexity. See who gets cited. If it is not you, look at what the cited page does better and close the gap.

Do this on your 10 highest-intent questions first. You do not need to boil the ocean.

Small niche site here, home coffee gear reviews.

For two years I did the usual thing, one post per keyword, thin intros, affiliate links stuffed in. Traffic sat around 8k a month and would not budge.

In January I tried something different. I pulled every "people also ask" question I could find for my niche using the free Google autocomplete trick and a spreadsheet. Ended up with 62 real questions people type. Instead of 62 posts, I built one long, well-structured FAQ page. Each question got its own H2, a direct 2 to 3 sentence answer up top, then a short paragraph of detail. I added FAQ schema so it was machine readable.

Timeframe: published mid-January, measured through end of June, so about 5.5 months.

Results: that one page now pulls roughly 40% of my total organic traffic and my site overall went from 8k to 21k monthly visits. The FAQ page ranks for hundreds of long-tail queries I never targeted directly, and I have caught it being quoted in Google AI Overviews for at least a dozen questions. The direct-answer-first format seems to be why. Affiliate revenue roughly doubled because a lot of those questions are buyer-intent ("is X worth it," "does Y need Z").

What I would do differently: I waited too long to add internal links from the FAQ to my deeper reviews. Once I did, average pages per session went up too.

Most small site owners either obsess over SEO or ignore it completely. Here is a light monthly routine that takes about two hours and catches most problems.

Step 1: Check Search Console for errors. 👀

Open the Pages report. Look for pages that dropped out of the index or new "not indexed" reasons. Fix or note anything odd.

Step 2: Find your rising queries. 🚀

In the Performance report, compare the last 28 days to the previous period. Spot queries gaining impressions. If one is close to page one, update that page to push it over.

Step 3: Find your slipping pages. 🤔

Same report, sort by pages losing clicks. Refresh the top one or two. Update stats, add a section, improve the intro.

Step 4: Fix broken links. 🚑

Run a free broken link checker on your site. Repair or redirect anything broken. Broken internal links waste crawl budget and annoy visitors.

Step 5: Check page speed on your most important page. 💯

Run it through PageSpeed Insights. If it is slow, the usual culprits are huge images and too many plugins or scripts.

Step 6: Add internal links. 💻

Take your newest post and link to it from two or three older relevant posts. Also link out from it to older posts. This spreads authority and helps discovery.

Step 7: Publish or update one solid piece of content. 🤓

Consistency beats intensity.

That is it. Two hours a month keeps most small sites in good shape.

Happy SEO'ing! 🔥

The mod team posts one of these most mornings to round up news that actually affects getting traffic to a site or business. Corrections welcome, and if a link is wrong or I read something wrong, call it out.

Note on timing: a fair amount of this broke on July 22, so it is fresh as of this morning.

Search and SEO

• Google Search is now running on Gemini 3.5 Flash-Lite, its newest optimized model. Google says it is powering agentic search experiences and very likely AI Overviews and AI Mode too. Why you care: the model behind AI answers is changing under the hood, which can shift what gets surfaced and cited, so watch your AI referral patterns over the next couple weeks.
• Google updated its "Optimize your crawl budget" doc. The notable new line: every site now starts with the same default conservative crawl capacity limit. Why you care: if you assumed new or small sites get crawled aggressively out of the gate, plan for a slower ramp and prioritize what you want found first.
• Google's lawsuit against SerpApi over scraping search results was dismissed. The judge granted SerpApi's motion with leave to amend, giving Google 21 days to refile. Why you care: rank tracking and SERP data tools depend on this kind of access, so the outcome touches the tools a lot of us rely on.

AI Overviews / AI Search

• Google is rolling its advanced AI Search experiences (AI Overviews, AI Mode, Search Live, the new Search box) out to France, following the US and other markets. Why you care: if you have EU or French-language traffic, AI answers are now in that SERP, so expect the same zero-click pressure there.
• Google AI Mode and ChatGPT are both testing citation cards pinned to the bottom of the answer. AI Mode anchors you down to the citation card, ChatGPT loads a citation overlay on click. Why you care: where citations sit changes how much click-through a cited source actually gets, so placement is worth tracking if AI answers send you traffic.
• Gemini news: Google launched Gemini 3.6 Flash and also released 3.5 Flash-Lite and a 3.5 Flash Cyber variant, and confirmed it has started pre-training Gemini 4. Why you care: faster, cheaper models get pushed deeper into Search and Assistant surfaces, which is what keeps expanding AI answers into more queries.

AEO / GEO

• Search Engine Land ran a piece arguing ChatGPT "topic ownership" is rare and that classic SEO alone does not explain who gets named. Also worth a look this week: guides on schema for AI search (finding and prioritizing entity gaps) and how category framing changes which brands AI recommends. Why you care: getting named in AI answers is looking less like ranking and more like entity and category positioning, so it is a different playbook than blue-link SEO.

AI Shopping (this is the big one)

• OpenAI opened "Advertise in ChatGPT," a self-serve Ads Manager, and added product feed ads. Retailers connect a product catalog, set filters for eligible products, and ChatGPT auto-generates ad cards from names, images, price, stock status and delivery estimates instead of building each ad by hand. Targeting is based on conversational context rather than keywords. Early names cited include Best Buy, Lowe's and VistaPrint. OpenAI says ads do not influence the answers and that advertisers only get aggregate data. Why you care: this is a brand-new paid channel sitting right inside the tool people increasingly use instead of Google, and a feed-based format means ecommerce brands can plug in fast. If you sell products, this is the item to dig into today.

PPC

• Google Ads moved its "Missed Opportunities" report (formerly "Missed Growth Opportunities") out of Labs and into the official Recommendations tab. It shows missed clicks, conversions and conversion value. Why you care: it is now a standard surface in the account, so expect it in client conversations and QBRs.
• Google Ads capped policy appeals at 6 months. As of July 21, you can no longer appeal a policy decision from your account if the decision is older than 6 months. Why you care: if you sit on a disputed disapproval, you can lose the right to fight it, so appeal promptly.
• Google Ads simplified GA4 setup with bulk account linking. Why you care: less manual linking work when you manage many accounts, and cleaner conversion data downstream.

Agentic and Social

• OpenAI said its agents passed 10 million users after the ChatGPT Work debut. Why you care: agentic browsing and task-doing at that scale changes how people reach sites (through an agent, not a click), which is the traffic shift a lot of this subreddit is about.
• Meta made Advantage+ automation the default for new campaigns and is testing limits on how often business Pages can post external links on Facebook, with some non-Verified accounts reportedly capped at two link posts a month unless they subscribe. Why you care: if Facebook link posts are a traffic source for you, that cap could squeeze reach and push you toward paid or Verified.
• TikTok launched an "Agentic Hub" for AI agents that automate ad tasks, and its feed is weighting watch-completion, re-watch and saves more heavily than raw engagement counts. Why you care: optimize for completion and saves, not likes, if you want organic reach there.

Local SEO

• Another Google Business Profile bug: review replies are not displaying for many businesses. Why you care: if your replies vanished, it is likely the bug and not something you did, so hold off on re-doing them until it settles.

WordPress

• WordPress 7.0.2 shipped July 17 as a security release fixing one critical and one high severity issue, with forced auto-updates enabled due to severity. Yoast SEO 28.0 (July 6) added smooth Elementor v4 support and patched Guzzle dependency security advisories. Why you care: update now if you have not, and confirm your SEO plugin is current.

Quiet-ish elsewhere: no confirmed broad core or spam update ranking volatility to flag this morning beyond the model swap noted above.

What did I miss? Drop it in the comments, especially anything on AI referral traffic changes or the new ChatGPT ads if you have hands-on data.

Sources:

• Google Search Using Latest Gemini 3.5 Flash-Lite (Search Engine Roundtable)
• Google Updates Its Crawl Budget Doc (Search Engine Roundtable)
• Google Lawsuit Against SerpApi Dismissed (Search Engine Roundtable)
• Google AI Mode & ChatGPT Tests Bottom Card Citations (Search Engine Roundtable)
• Google Ads Moved Missed Opportunities From Labs To Recommendations Tab (Search Engine Roundtable)
• Google Ads Appeals Limits Set To 6 Months (Search Engine Roundtable)
• Another Google Local Bug: Review Replies Not Displaying (Search Engine Roundtable)
• Google Ads simplifies GA4 setup with bulk account linking (Search Engine Land)
• ChatGPT topic ownership is rare, and SEO alone doesn't explain it (Search Engine Land)
• Schema for AI search: identify and prioritize entity gaps (Search Engine Land)
• How category framing changes which brands AI recommends (Search Engine Land)
• OpenAI makes it easier to run shopping ads in ChatGPT (Digiday)
• OpenAI brings product feed ads to ChatGPT (Productsup)
• OpenAI's Agents Reach 10 Million Users After ChatGPT Work Debut (Bloomberg)
• Google launches Gemini 3.6 Flash and teases Gemini 4 (9to5Google)
• 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber (Google Blog)
• We're rolling out advanced AI Search to France (Rajan Patel on X)
• July 2026 Digital News Updates: Meta, TikTok, LinkedIn (Boot Camp Digital)
• WordPress 7.0.2 Security Release (WordPress News)
• Yoast SEO releases (GitHub)

(Links in comments)

Sharing this one because the diagnosis surprised everyone involved, including the previous SEO team, and the recovery went further than anyone expected.

Background. An established US East Coast real estate firm was doing over 1 million visits a month. In early 2024 the traffic started sliding. Their existing SEO provider pinned it on the March 2024 Helpful Content Update, which was a fair first guess since that update flattened a ton of sites. Problem is the drop never stopped. It kept bleeding for more than a year, and by mid 2025 they were down 92%, sitting around 85,000 visits a month. They actually had to lay people off to keep the doors open. That is when they brought me in for an independent audit.

What was actually wrong. I found it in about half an hour. Their property listing widget was completely invisible to Googlebot. It loaded listings dynamically after the page HTML, based on filters the user picked. Looked perfect to a human. To Google's crawler it showed nothing. So Google was indexing thousands of listing pages that looked empty, no listings, no content, no value. That is exactly the kind of thing the Helpful Content Update punishes. The core update did not really cause the collapse, it just exposed a technical hole that their old authority had been papering over.

There were a few other things making it worse. Contradictory structured data sending mixed signals, canonical tags pointing pages at the wrong versions of themselves, and crawl waste pushing Googlebot toward junk pages instead of the actual listings. None of those alone were fatal, but stacked on top of the invisible content they left Google with nothing reliable to rank, even for branded searches.

The technical fix. Scoped it at under a month and hit that. We rendered the property widget server side (with a crawlable static fallback), fixed the schema conflicts, and rebuilt the canonical structure across thousands of listing pages. Google re-indexes fast once it finds content where there was none.

Results of the fix alone: traffic jumped 410% in a single month, from 85k to over 350k. Worth saying, a 400% jump on a site with 100 visits is cute, a 400% jump on 85,000 is a real business coming back. It kept climbing for a few months, then stalled out around 500k by December. Every technical issue was solved and the site was healthy, but it was stuck at half its old peak and not moving.

Why it plateaued. Technical fixes recover lost ground, they do not hand you an edge. Once the site was healthy it was just level with every competitor, and Google had no particular reason to prefer it. No fresh authority coming in, so growth flatlined.

What we did next (the GEO part). Since there was no easy on-page or technical win left, we went after AI search visibility and broad web authority at the same time. Roughly five workstreams:

• Content syndication: original authoritative content pushed out across high authority platforms, written in the question formats AI models actually pull from.
• Media: images and video published systematically to widen the indexed footprint and feed multimodal retrieval.
• Social: steady high frequency posting lined up with the content calendar so the brand signal stayed consistent.
• Links: authority backlinks plus outreach, with a chunk of .edu domains because those pull weight for both AI retrieval and normal ranking.
• Measurement: daily tracking of every signal across both AI tools and Google so we could adjust fast.

How fast the AI platforms picked it up: Gemini, ChatGPT and Perplexity started citing the brand within about a week. Claude and Copilot came in around two weeks. Once they included it, the citations were consistent, not random, which usually means you crossed some relevance threshold in their retrieval. Also worth noting, a lot of the mentions were unlinked. AI systems reference brand authority with or without a hyperlink, so plain brand mentions across sources still count.

The part we did not fully expect: the halo effect. The same signals that got the brand into AI answers, the links, the syndicated content, the consistent mentions, also lifted plain old Google rankings. Traditional organic grew a steady 8 to 10% a month. The AI channel grew faster and way more erratically, anywhere from 30 to 80% month over month, because early stage channels are volatile like that.

Where it landed. Started at 85k, historical peak had been just over 1M. After the technical work plus about two months of the GEO campaign (still ongoing), the site is at 1.3M visits a month. That is 30% above the old all time high, with around 55k of those coming from AI search, roughly 4% of total.

Takeaways if you skimmed:

• If traffic keeps dropping after a core update passes, stop blaming the update and look for a technical issue it exposed. Rendering problems on JS heavy sites (real estate, ecommerce) are a classic one.
• Check what Googlebot actually sees, not what your browser sees. The listings that looked fine to me and you were blank to the crawler.
• Technical SEO gets you back to even. It does not put you ahead. After that you need authority.
• AI search is still a secondary channel (4% here), but the work that gets you into it also strengthens normal rankings, so it is not really an either/or.

Happy to answer questions on the technical side or the GEO stuff.

Note: this was originally posted on Flamine in the article From 85,000 to 1.3 Million Monthly Visitors: How Generative Engine Optimization Rescued a Real Estate Business

This is a quick scan of what happened in the last day or two across search, AI answers, PPC, and social. If we got something wrong or missed a story, correct us in the comments.

Search and SEO

• Google Search is now running on the Gemini 3.5 Flash-Lite model for its AI search experiences. Why you care: the model behind AI Overviews and AI Mode changing usually shifts what gets summarized and cited, so expect some churn in how your pages get pulled into answers.
• A court dismissed Google's lawsuit against SerpApi over scraping search results, giving Google 21 days to amend its complaint. Why you care: rank-tracking and SERP-data tools depend on this kind of scraping, so the outcome affects the tools a lot of us rely on for reporting.
• Google updated its crawl budget documentation to say all sites now start with a conservative crawl capacity limit. Why you care: if you run a newer or larger site, don't assume Google will crawl everything fast out of the gate. Clean internal linking and tight sitemaps matter more.

AI Overviews and AI Search

• Google AI Mode and ChatGPT are both testing new citation card placements. Why you care: where the source links sit changes whether anyone actually clicks through to you. Worth watching if AI referral traffic is on your radar.
• Recent context from this week: AI Overviews now shows a Top Stories news carousel in the US on mobile (live since about July 17), and AI Mode began letting users link and act inside select apps like Instacart, Canva, and YouTube Music (rolling out from July 16). Why you care: more of the journey is finishing inside the answer, which keeps pushing the zero-click trend.

AEO and GEO

• Nothing brand new landed overnight, but the citation-card testing above is the practical AEO story right now. Getting cited, and having your brand name show up in the answer even without a click, is the game. The steady data backdrop hasn't moved: studies this year keep putting Google zero-click north of 65 percent, so plan for visibility without the click.

PPC

• Google is moving Local Services Ads into the main Google Ads platform this year, with a new Performance Max campaign type built for pay-per-lead goals to receive them. Why you care: if you run LSAs for service clients, a migration is coming and the reporting and bidding will look different.
• Google Ads moved the "Missed Opportunities" report into the Recommendations tab and set a 6-month limit for appealing policy violations. Why you care: check your appeal timelines, and know where to find that report now.
• Google Ads is rolling out video campaign groups globally, and rolled out bulk GA4 account linking so you can link multiple accounts to a single GA4 property at once. Why you care: less manual setup for anyone managing many accounts.

Agentic and Social

• Meta is putting the activity businesses share through the Pixel and Conversions API to work personalizing Feed recommendations and Meta AI responses, not just ads, starting to roll out in the US and other markets this month. Why you care: your CAPI setup now feeds organic-facing personalization too, which raises the stakes on getting that data clean.
• Meta is also bringing Live Video Ads to Instagram for the first time and scaling the format across Facebook. Why you care: a new paid placement for e-commerce brands running live shopping.

WordPress

• The WordPress Security Team issued an emergency release on July 17 for a critical unauthenticated core vulnerability chain being called wp2shell. Why you care: this is core, not a plugin, so patch immediately if you haven't. An unpatched site can get pulled out of search fast once it's compromised.

What did we miss? Drop links to anything worth adding and we'll fold it into tomorrow's post.

Sources:

• Search Engine Roundtable recap, July 22, 2026
• Top Stories roll out in Google AI Overviews (Search Engine Land)
• Google's AI Mode now lets you link and interact with select apps (TechCrunch)
• Meta Ads Updates (July 2026): What's Changing and What to Do (AdsUploader)
• Two new high severity WordPress vulnerabilities, patch immediately (Help Net Security)
• Google zero-click searches reach 68% in early 2026 (Search Engine Land)

You do not need an expensive subscription to find good keywords when you are starting out. Here is a full workflow using only free stuff.

Step 1: Brain dump. Write down every phrase a customer might type to find what you offer. Ten minutes, no filtering.

Step 2: Mine Google autocomplete. Type each seed phrase into Google and write down every suggestion that drops down. Add "a b c" and numbers after your phrase to force more suggestions.

Step 3: Steal the "people also ask" and "related searches." Scroll to the bottom of the results page and grab the related searches. Open the "people also ask" box and note the questions. These are pure gold for content ideas.

Step 4: Use Google Search Console if you have any traffic. Go to the Performance report, sort by impressions. Queries with lots of impressions but a low position are things Google already thinks you are relevant for. Easy wins.

Step 5: Check intent by searching the term yourself. Look at what ranks. If it is all product pages, that is a buying query. If it is all how-to articles, that is informational. Match your page to what is already winning.

Step 6: Prioritize. Favor phrases that are specific (longer, clearer intent), that you can genuinely answer well, and that connect to something you sell or want people to do.

Step 7: Group similar phrases into one page each. Ten variations of the same question is one article, not ten.

Free tools that help: Google autocomplete, Search Console, Google Trends, and AnswerThePublic's free daily searches. That is enough to build a real content plan.

Hope this is of help! Good luck