leestuart

@searchmartin Bravo. Enough said. Woof.

PSEO DONE RIGHT. How it started (oct '25), vs how its going (May '26): Programmatic SEO doesn't need to be spam, but 100% of other threads here, are just that. Sorry not sorry.

@pedrodias Totally unusable for me. Acts like that friend who tries to hard. Wait I didn’t ask for that. Stop.

I don't know what's everyone else's experience but, more often than not, when I start a new chat in Gemini, it either takes ages to respond or gets stuck in an eternal thinking process that never ends, rendering it utterly frustrating to use.

@searchmartin I saw this one too. Admittedly I almost fell for it.

What is it about humans, that makes them fall for such obvious rage-bait?

@aleyda Super noticeable what you said about pattern 5

✈️ Where AI Search Sends Traffic: 10-Market Patterns for Your Global AI Search Strategy 👇 The outcome of my latest International AI search traffic analysis: There’s a comfortable narrative around AI search right now: AI assistants surface the biggest brands, ecommerce concentrates around marketplaces, finance flows to trusted institutions, travel goes to the major OTAs, and the playbook is to “be a recognized brand.” That story is partly true. But after going through the top click-producing AI search domains across ecommerce, finance, and travel & tourism in 10 international markets in March 2026, using Similarweb data, the most useful pattern I can pull from this data is that AI search isn’t one thing. The shape of the click-receiving layer changes radically by vertical and by country, and so does the strategy that actually works inside it. Here’s what the data actually shows. * Pattern 1: AI search concentration is not the same across verticals, it’s an order of magnitude different * Pattern 2: AI search traffic often go to local infrastructure, not global defaults * Pattern 3: “AI search is growing” is true, but masks meaningful churn * Pattern 4: “Trust-led finance” is real, but the headline is misread * Pattern 5: Travel is fragmented at the discovery layer, but more concentrated at the booking and infrastructure layer So what does this actually mean for AI search strategy? 1. Stop treating AI search as a single optimization problem. 2. Audit local champions before investing in any non-US market. 3. Localization needs to extend into entity presence and structured data, not just translation. 4. Measure AI search movement, not static snapshots. 5. For brands inside concentrated heads, accept the structural reality and play your actual game. 6. Separate AI visibility from traffic ownership and business impact Read it all here: aleydasolis.com/en/ai-search/g…

@top5seo Ethereal

This is nice. But I prefer this one.

@iPullRank Was so waiting for you to say that :)

Lol. I thought Google said you don't need GEO?

@searchmartin Problem is having at the moment is none of the sources are reliable. Search console has reached epic fairytale level. Revenue definitely the best way, attribute more challenging by the week, of course G loves this.

I had to spend 90 minutes writing up an email to a client this week, explaining how ahrefs / semrush traffic reporting works, and why its just bad guessing. Serious SEOs don't use those tools, for this purpose. Unfortunately "clients nephews friend Vinnie" think they know SEO.

@suganthan I thought my skill was good. Holy shit.

Ooof

@aleyda Think the LLM hallucinated your infographic a bit points 6-8. Although thats probably a point in itself :)

🚨 Common AI Search Tracking Mistakes and Misunderstandings: 1. Treating traffic-based metrics as a proxy for AI visibility or the full measure of AI impact Organic traffic doesn't show whether a brand is being surfaced, cited, or recommended inside AI-generated answers, especially when no click happens. 2. Treating AI search as a performance channel only, rather than a performance and branding channel AI search influences both direct response outcomes and brand outcomes. A brand can benefit from AI-generated recommendations, stronger recall, better category association, and improved perceived credibility without generating an immediate click or a directly attributable conversion. 3. Drawing conclusions from single-session prompt tests Given the response volatility of current AI systems, a single session is not a meaningful data point. Reliable presence requires repeated testing across multiple sessions per prompt and across multiple tracking periods. 4. Assuming your visibility and performance are the same across all AI platforms Platform behavior varies: citation volumes, source selection patterns, response style, and brand recommendations differ across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot. A brand can be well represented in one system and much less visible in another. 5. Collapsing mentions, citations, links, recommendations, and sentiment into one generic visibility metric. Counting all brand appearances in AI answers as the same type of visibility hides whether a brand is actually being selected, supported by source citations, driving potential traffic, or being described favorably. These distinctions are critical for diagnosing whether the opportunity is one of recall, authority, referral, or brand positioning. 6. Applying ranking position logic to AI answers In traditional search, position one, two, and three have defined strategic meaning. AI answers do not work this way. There is no stable ranking position. A brand is either present in an answer or it is not, described in a particular way or not, recommended or merely referenced. Prominence within an answer matters, but it is not equivalent to a ranking position and should not be measured or communicated as one. 7. Ignoring representation accuracy Whether a brand appears in an AI answer is only part of what matters. How it is described matters equally. A brand can appear frequently in AI answers while being mischaracterized, positioned in the wrong category, or associated with weaknesses rather than strengths. 8. Extrapolating from industry statistics to brand-level conclusions Published research on AI search is generated from specific samples, time periods, and query sets. These findings provide useful directional context. They do not predict what any individual brand’s AI visibility looks like. Brand-level measurement requires brand-level data collected systematically over time. - What others should I add?

"Google is a megacorp monopoly, that is their literal job description. Their fiduciary duty is to their shareholders, which means their duty is to extract maximum advertising revenue from the top of the SERP while keeping the organic results just good enough that users don't defect to ChatGPT."

In the agentic era, the gap between being discovered and being chosen will collapse. If you aren't the agent's first choice for information, you will never be its choice for the transaction. There is no position two in agentic.

@KorayGubur Ha ha. You should use that now in all talks. Behold : Search Quality in 2026.

Thanks Google. Corey Tuggy.

@chris_nectiv Addy isn’t the CEO :) He is the director of Google Cloud. Well known for his True Cost Of JavaScript reports.

Google's CEO said the future of search is an "agent manager". Well now a Google Software Engineer just wrote a guide on Agentic Engine Optimization. It covers discoverability, parsability + token efficiency:

@aleyda @brodieseo @serplens Kinda nothing that I can’t do already at scale at the moment. Waiting for the agentic version though that will be interesting. Nice UI.

If you’re an SEO and haven’t yet tried @serplens : what are you even doing?

@MalteLandwehr You’re now the principal of a GEO tech company, so statements attributed to you carry that context when referring to SEO. Not hard to connect. That said, agreed on text and image. Low value content is increasingly exposed, and anyone still relying on it will have problems.

@leestuart I mean primarily text and image content for marketing and SEO purposes. This observation is not related to GEO and I fail to see how it could be connected. If anything, GEO leads to more content production, not less.

The amount of SEO agencies that make 80% of their recurring revenue with content creation, is scarily high. This revenue will trend to zero over the coming years!

January we needed a striker and a keeper. It was literally obvious to an 8 yr old. But Gibbo and his usual cheap skate bottle crew ( literally every crucial window since Southgate.) decided again the agents cost too much and there is no value in the market. Wouldn’t be surprised if he didn’t make sure by having Kieran Scott nobbled with neck injury. Cult of mediocrity. We will never succeed under this ownership. Historical performance is not indicative of future results as they say in finance.

Defeat at the Riverside.

@Hobo_Web Makes sense when you think about it

From recent analysis on a small set: Reduce hallucinated URLs in AI responses by ensuring Page Titles and URLs on your site are identical.

@chris_nectiv Been that way for a while. Since December I think. Same on mobile now also.

SEOs this seems huge. Expanding AI Overviews on desktop now lead DIRECTLY into AI Mode.

@shanejones I like the idea but my eyes not so much :)

I can think of worse places I've done my payroll run from. Absolutely loving this Mac Neo too! It's been great for doing the odd check in when I've needed it while on holiday.