John

3.8K posts

John

John

@10MY01

London Katılım Kasım 2012
385 Takip Edilen155 Takipçiler
John
John@10MY01·
Agencies, companies who have rigid contracts with say, Copilot (sorry, aside from Teams meetings and outlook recaps, nothing much) are missing out from letting employees use what's best for their use case. Massive detractors on top of adoption and burnout.
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Anthony Higman
Anthony Higman@AnthonyHigman·
Google Is Getting REALLY Desperate For Money And Is Now Actively Matching JUST First Names For Lawyer And Law Firm Searches BWAHAHAHAHa. This SHOULD NOT BE Happening. But If Your Not Paying Attention, You Better Start Because Its Getting BADDDDD Right Now. Google The FIRST Name "Garret" DOES NOT F**KING MEAN "Workers Comp Law Firm" Im Sorry But There Literally No World In Which This Makes Sense Or Flies. NONE.
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John
John@10MY01·
@ericosiu It's not dying, it's stolen. Systemic, shameless, daylight robbery.
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ericosiu
ericosiu@ericosiu·
Digital Trends lost 97% of its traffic. Not over 5 years. In 22 months. 8.5 million visits down to 264,000. Gone. ZDNet: down 90%. Wired: down 62%. These aren't small blogs. These are massive media properties with full editorial teams, decades of content, and millions in funding. What happened? AI answers replaced the click. When ChatGPT gives you the answer directly, why would you visit a website? Informational content is dying. "What is X" articles, listicles, basic how-tos — all being eaten alive. But here's what most people miss: transactional content still works. "Best CRM for agencies" still drives clicks because people need to buy something. AI can't buy for you (yet). So stop measuring traffic. Start measuring revenue per page. If a page doesn't drive revenue, AI is going to eat it. The sites that survive won't be the ones with the most content. They'll be the ones where every page has a reason to exist beyond answering a question Google's AI already handles. For more on AI, business, and marketing, just comment "newsletter."
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Michael Weber
Michael Weber@WeberBuilds·
@coreyhainesco MCP connections are honestly broken for SEO workflows. I hooked up Search Console the same way and now Claude just reads my data and writes the content briefs. saves me hours every week.
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Corey Haines
Corey Haines@coreyhainesco·
I've spent THOUSANDS of hours in Ahrefs and Google Search Console doing keyword research and SEO audits Within 5 minutes of connecting Claude Code to the Ahrefs API and Google Search Console service account, it found a bunch of new opportunities for one of my SaaS products 🤯
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Glenn Gabe
Glenn Gabe@glenngabe·
Low tech, no performance data, and limited targeting. Wow, sounds amazing :) -> Advertisers that bought ChatGPT's first ad campaigns say the process was low tech and that they haven't received much data showing if their ads worked "Two executives at agencies working with early ChatGPT advertisers said they haven’t yet been able to prove the ads have driven any measurable business outcomes for their clients." "OpenAI hasn’t yet offered marketers any automated way to buy ad space. Buyers have had to rely on making phone calls and sending spreadsheets and emails to OpenAI representatives, one ad executive said. More importantly, advertisers found it hard to tell whether the ads were paying off." theinformation.com/articles/opena…
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John
John@10MY01·
"If a frontline employee has a bad day, customers assume it’s an exception. If your AI delivers a flawed experience, customers assume it’s how your company works." entrepreneur.com/starting-a-bus…
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Brodie Clark
Brodie Clark@brodieseo·
SEO News: title link rewrites in Google's search results have been taken to the next level, now being more heavily influenced by generative AI. This was first reported on by @StarFire2258 at The @Verge, who discovered that Google was now completely rewriting the titles using AI that appear in Search, without the influence of the standard influences like previously. The big issue with this approach is that there were instances where the titles for the articles were rewritten, but the meaning of the article was lost in the rewrite or through formatting changes (such as using capitals for every word). As you can see in the example below, the new title for the article is not based on any of the standard elements that have historically influenced title link generation – with @MrDannyGoodwin reminding us of the full list in his @sengineland post in the comments. Based on the text that Google was then showing in search results, it seemed to primarily be a combination of some of the information found within the subheading for the article, with the change being noticeably different. I went ahead and completed some title link analysis in @Ahrefs (they have in-built tools for this outside of Site Audit) and found that the scale of the AI title changes is still minimal, even for some very large sites, but it seems like we're in the early stages of this as a new development within the SEO space. If you're noticing that the title for your page is showing as completely different, and none of the historic sources is influencing the change, you now know what is happening. Keep an eye out for this experiment!
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John
John@10MY01·
@glenngabe I don't think it's a great user experience. Replacing the button with "Out of stock" is a better one.
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Glenn Gabe
Glenn Gabe@glenngabe·
Focus on ecommerce? -> Any inconsistency between the page and the feed can lead to disapprovals: Google tightens rules on out-of-stock product pages "Google now requires that out-of-stock products must still display a buy button, but it can no longer be active or hidden. Instead, the button must be visibly disabled and appear grayed out. In other words, users should be able to see the button, but not click it. This marks a clear shift from common practices where retailers either left the “Add to Cart” button clickable or removed it entirely. Both approaches are now non-compliant." "In practical terms, the requirement is simple. The buy button must remain on the page, but its functionality needs to be turned off. Typically, this is done by applying a disabled state so the button becomes unclickable and visually subdued." searchengineland.com/google-tighten… via @TheMarketingAnu
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John
John@10MY01·
@bhartzer Probably the official website for the new season of Falling Skies 😂
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John@10MY01·
@Hesamation Who are the idiots giving them money anyway.
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Tom Goodwin
Tom Goodwin@tomfgoodwin·
Gemini has been lying to me for the last 30 mins about the idea it can pull out live flight price information. It refuses to accept it can't access flight info. It continually makes up prices and empty seats. Its wild.
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Aaron Haynes
Aaron Haynes@myeyesshine_·
Awesome data. 71% of fan-out queries are 7+ words. These aren’t keyword searches….They’re structured questions the model writes for itself. Traditional keyword research doesn’t see them because they have zero search volume. Sorry seos. The POS breakdown is pretty cool for content strategy: OpenAI is entity-heavy (58.4% nouns, 18.9% proper nouns). It’s searching for specific things by name. If your brand, product, or person isn’t named in content, OpenAI’s fan-out queries skip you. Google is question-heavy (3.6% wh-words, more verbs). It’s asking “how” and “what” and “which.” Content structured as Q&A with H2 question headings maps directly to how Google’s grounding system generates its own queries. Amazon loads up on adjectives (18.6%). “Best,” “top,” “most effective.” It’s building comparison frames. Your content needs to include the qualifiers, not just the nouns. The practical bottom line here maybe: your content needs to answer 7-10 word questions you will never see in Search Console. The model writes its own queries and they look nothing like what humans type. Great dataset @dejanseo ! 365K queries is the largest fan-out corpus I’ve seen published.
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Crossover
Crossover@CrossoverYao·
@everestchris6 Nice automation workflow! Curious how you handled dynamic content + lazy loading on those business sites? We ran into rendering issues with screenshot tools when pages had heavy JS dependencies.
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Chris
Chris@everestchris6·
My OpenClaw bot scraped 1,000+ local business websites, took screenshots of every single one, and used them to train an AI model that scores website design quality automatically Here's what it did: → Scraped 1000+ local businesses from Google Maps → Screenshotted every website → Trained an AI model on 1,000+ sites to score design 0–100 → Flagged the worst ones as hot leads No more manually finding clients with bad websites, it finds them for you in seconds Reply "OpenClaw" and I'll send you the whole system for free
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John
John@10MY01·
@nathanbenaich Mr superinvestment nonsense, what are you afraid of?
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Nathan Benaich
Nathan Benaich@nathanbenaich·
please don’t speak on behalf of the industry - this is beyond 🤦
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John
John@10MY01·
@MalteLandwehr @RyanJones You're assuming that the output of AI is 100% trustable. By any current, serious and objective measurement, it's not. By nature.
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Malte Landwehr
Malte Landwehr@MalteLandwehr·
@RyanJones How so? To me, the combination of both is the logical path forward for any company. Small in-person teams to discuss strategy and make decisions. Augmented by a lot of automation and AI.
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Ryan Jones
Ryan Jones@RyanJones·
The justification for RTO and the justification for replacing people with AI are literally polar opposite arguments.
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