Digital Ingenuity
120 posts

Digital Ingenuity
@Digi_Ingenuity
🦞🤖🧪 AI nerds who test, build & share with the community. Also run a digital marketing agency. 12+ yrs. Dallas, TX 🚀
Plano, TX Beigetreten Ocak 2022
58 Folgt1 Follower

Ranking #1 on Google is the wrong goal in 2026.
The goal is being a source AI platforms pull from when someone asks your category question.
Those are two completely different strategies. Most agencies are still optimizing for the first one.
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Ranking #1 on Google is the wrong goal in 2026.
The goal is being a source AI platforms pull from. ChatGPT, Perplexity, Claude — they're already picking favorites. Most businesses don't even know they're invisible.
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@CyrusShepard Yes. We ran an a CTR test over 6 weeks — manipulated clicks on a mid-page result. Positions moved. Then dropped back when we stopped. Correlated, not proven. Google still denies it. But it's the one "debunked" tactic that keeps showing up in our data.
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Quote of the Century. We completely agree...
Naval@naval
Vibe coding is more addictive than any video game ever made (if you know what you want to build).
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@Digi_Ingenuity @neilpatel You guys might want to read/talk with the team at @Cloudflare about AI crawlers.
blog.cloudflare.com/rethinking-cac…
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Ranking on Google doesn't guarantee citations on ChatGPT.
Not only are they not focusing on the top 10 results on Google, but they are also focusing on non-Google sources.
The top 10 from Google already dropped from 76% to 38%.
Google is still important, but you need to diversify your traffic sources.

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This is the kind distribution play that changes the game. We've been tracking how Perplexity answers vs Google vs Claude on the same queries for our clients — Samsung's 100M+ monthly users just became a new citation source. The real question isn't ranking on Google anymore, it's being the source Perplexity cites when someone asks your question.
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Perplexity now powers Samsung’s Browsing Assist in the Samsung Browser on Galaxy Android and Windows.
Read more: perplexity.ai/hub/blog/perpl…
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We've been tracking this across our 21 AI agents — what's wild is how differently Claude, Perplexity, and ChatGPT weight these signals compared to Google's ranking model. Click signals matter, but AI citation signals are becoming the actual moat (we proved this in our 90-day study across 6 platforms getting completely different answers about the same business).
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Click signals matter less than most think — we've watched them get weaponized into noise. What actually moves the needle now is whether ChatGPT, Claude, and Perplexity cite you as a source. We tested this across 6 platforms and got wildly different answers for the same query. Google rankings are becoming a lagging indicator.
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You gotta try this out: Check how your brand ALREADY ranks in Google's AI memory
Nice work @dejanseo 👏

DEJAN@dejanseo
Gemini's Brand Authority Map authority.dejan.ai These 2,883,072 brands live rent-free in Gemini's parametric memory, ranked by frequency and personalised pagerank. Basic interface for now with plans to develop it further. For brands not known to Gemini we show common crawl as fallback stats.
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Totally agree — but we're seeing the inverse problem now: strong products getting zero visibility because they're not cited by AI platforms. We deleted 60% of our blog posts and traffic shot up, but what actually moved the needle was becoming a source Claude and Perplexity actually reference. Product quality matters, but if ChatGPT doesn't know you exist, you're invisible.
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🚀 Remember how in SEO we say there's only so much we can do if the product is broken? AI search shifts this dynamic further: there's only so much optimization can do if the brand and product experience are weak.
The core interaction model in traditional search is still largely a ranked list of sources, where users compare options and make decisions for themselves. AI platforms also compare, synthesize, and sometimes recommend.
In traditional SEO, brand and product quality are strong multipliers. In AI search, they are increasingly closer to prerequisites, especially for prompts where the system is helping users evaluate options.
You can improve technical accessibility, make content easier to extract, and build topical authority.
But if the broader signals around your brand point to weak trust, poor satisfaction, or unclear differentiation, that can limit how often you're surfaced and how confidently you're described.
There are still technical and content levers that matter. But when AI systems act more like recommenders than indexes, strong brand and product signals become much harder to compensate for.
Welcome to the branding era of search.

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