The SEO Turtle journal
What we’re working on, what we’re learning, and the questions worth spending a little more time with.
A synthetic voice rings your shop, asks what a brake inspection costs, and emails the answer to a customer who is comparing you against eight competitors. Most advice about this feature is about training staff to answer the phone faster. We think that misses the point entirely. The call is Google's fallback for data it could not already read.
Apple's published Applebot address pool went from 2,400 IPs to 7,056 with no blog post and no explanation, weeks before the rebuilt Siri ships in iOS 27. Most sites have never looked at how they treat Applebot, and a lot of them are blocking the wrong user agent. Here is what changed and what to check this week.
Most local businesses picked their Google Business Profile category once, at signup, and never looked at it again. A new study across 1.8 million profiles suggests that single dropdown is worth more positions than most of the content work sitting in your backlog. Here is what the data says, where it stops being true, and what to change this week.
The August 2026 spam update has a start date, an end date and one confirmed exclusion. The volatility that actually moved most sites happened five days earlier and Google never confirmed it. Attributing the wrong drop to the wrong event is how businesses end up fixing something that was never broken.
Ask Gemini the same local question twice and the sources it cites match roughly 40% of the time. The top recommended business matches about 8% of the time. That single fact undoes most of how businesses currently check their AI visibility, and it changes what you should actually be optimising for.
Reddit went from the most cited domain in ChatGPT Search to a rounding error in about a week, and no one at OpenAI announced anything. If your AI visibility strategy depends on being quoted from somebody else's platform, this is your warning shot.
New research pulled apart how ChatGPT actually fetches web pages, and the answer is uncomfortable. It runs its own index that barely overlaps with Bing, serves most answers from a cached copy of your page, and only truly opens about one page in eighty. Here is what that means for how you write and structure a page.
Businesses are buying GEO tools to fix problems a 2019 site migration created. AI search did not add new technical requirements, it just stopped compensating for the old ones. Here is our practitioner take on why the technical SEO backlog is now the AI visibility roadmap, and why that favours smaller sites.
One number has done more to move marketing budgets in the last year than any Google update: AI search traffic converts 23x better than organic. It came from a single site over 30 days, and the company that published it said so at the time. Bigger datasets tell a very different story.
Your AI visibility tool says you appear in thirty categories. Your sales pipeline says two of them are real. New research from Search Engine Land explains the gap: AI engines will cite you across almost any topic, but they only recommend you inside the category you actually own. That changes what a content plan should look like.
Everyone assumed AI search would get smarter at reading nuanced content. The models Google actually puts in front of your pages are getting lighter, because at Google's query volume cost wins. That flips the content advice: stop writing for a reader that infers.
Preferred Sources moved into AI Overviews and AI Mode this summer, and Google has said it wants to use those picks as a ranking signal. That turns a settings toggle into search infrastructure. Our read on what it rewards, why the adoption numbers matter more than the feature, and what a business should actually take from it.
Two studies published this summer found the same split from opposite directions: ChatGPT over-retrieves English pages, and Google AI Overviews almost never leaves the language of the question. If you run a Greek and English site, or English and Spanish, you have two different blind spots and one bad reflex to avoid.
On September 4 Google started removing Assistant from Android phones, tablets, watches and Android Auto, with no way to switch back. Gemini took over, and it answers local questions using Google Maps and Business Profile data. Here is what changed for businesses and what still needs fixing.
People are using AI search more and trusting it less. New research puts the drop at 28 points in a year, and half of US shoppers now fact-check AI product recommendations on Reddit before buying. The answer box is no longer the finish line. Here is what to put in the verification step.
ChatGPT did not crawl its way to better local recommendations. It signed a deal. With Yelp reviews, Tripadvisor listings and booking inventory now feeding answers directly, the businesses that get recommended are the ones whose data sits in the corpus that got licensed. Here is our read on what that means for a local business in Cyprus or the US, and the part of the work that still belongs to you.
AI engines are linking to your content without ever saying who wrote it. New research puts the rate at around 40 percent of citations, and above half on Perplexity. That gap breaks the way most businesses measure AI visibility, and it changes what you should be writing.
Google quietly added a line to its review snippet documentation banning fake and undisclosed incentivized reviews. Most coverage framed it as a rich results risk. That misses the point. Review text is now a primary input into the systems that recommend businesses in AI answers, which means a discount-for-a-review habit has stopped being cosmetic and started being structural.