WEBVTT

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The rules for getting found online. Well, they've

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really shifted fundamentally. It's not really

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about optimizing for just clicks anymore. It's

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about optimizing for trust. Think about it. For

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like 20 years, the whole game was just getting

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massive volume, right? Get everyone to your site.

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But now with AI built right into search, into

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browsers, the whole engine has changed. We're

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really heading towards what you might call trust

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optimization because honestly, any visitor AI

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sends your way. They're already interested. They're

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pre -qualified, probably ready to make a move.

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So we have to kind of stop chasing raw traffic

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numbers and really zero in on bringing in those

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high value customers. That's a huge mental shift.

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Absolutely. And you are the listeners. You shared

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some really, really insightful sources on this

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whole AI search SEO roadmap. So, OK, our mission

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today, let's distill all that. Let's pull out

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a clear three part strategy, something you can

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actually use maybe over, say, 90 days. And look,

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this isn't some magic bullet. It's a roadmap,

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right? A proven step -by -step way to actually

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capture that super valuable, ready -to -act traffic.

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We'll break it down into three main phases. First,

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building that solid foundation. Second, expanding

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your digital authority. And third, amplifying

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those critical trust signals. Sound good. Sounds

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essential. Let's start with the foundation, then.

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Because this is where I think the biggest mistake

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is being made right now. So many businesses just

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assume that these advanced AIs, perplexity, chat,

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GPT, Google's new stuff, they just know everything

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about their brand, their mission. Yeah, but they

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don't. Exactly. The reality is every AI model

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has a knowledge cutoff date. They have to search

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the live web. for current information about you.

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And if you haven't actively taught the AI what

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you do, clearly and consistently, it just tries

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to piece things together from all over. And it

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often gets key details wrong. It guesses. And

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that just kills trust instantly. It creates what

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the sources call factual drift, which is, well,

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it's fatal when an AI is the one deciding whether

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to recommend you or not. So step one, absolutely

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crucial, create a brand fact sheet. This needs

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to be the definitive blueprint for your company,

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period. Okay, so not the fluffy mission statement

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stuff. No, we're talking core, unchanging, rock

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-solid facts. Your exact legal business name,

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the official URL, a super concise description,

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like, we provide cloud accounting software for

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small businesses in Vietnam. Dead simple. Plus,

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your verified unique selling proposition. Maybe

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it's 247 personalized customer service. Whatever

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it is, lock it down. You got to treat consistency

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like... like stacking Lego blocks of data, you

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know? If even one block is slightly off, the

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whole tower, the AI's understanding of you, it

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just gets wobbly. Unstable. Yeah, and it's those

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tiny little inconsistencies that really get me.

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I remember doing an audit on our own site, maybe

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a year back, and realized we'd forgotten to update

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the address on some old footer template. It was

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missing floor five. Just that. Wow. And that's

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exactly the kind of factual drift AI picks up

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on. These models, they study your key pages,

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not just the home page, right? Right. Your about

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us, pricing, case studies, and critically, your

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policy pages, because those signals, you're transparent,

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you're honest. And here's something really practical

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from the roadmap. You can actually use AI to

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audit yourself. Oh, interesting. How? Take that

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brand fact sheet you just made. Then use a detailed

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prompt. Tell the AI to act like a meticulous

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brand expert. Ask it point blank to compare your

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fact sheet against your live website pages. OK,

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I like that. Turn the tool back on itself. The

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sources really highlight the kind of things that

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just erode trust straight away, don't they? Like

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a name mismatch. Using Blue Nova Agency on LinkedIn,

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but Blue Nova Digital in your website footer.

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Or different service lists on different pages.

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Yeah, or even slightly wrong contact details.

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If you can't keep your own story straight, why

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on earth would an AI trust you enough to recommend

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you? Precisely. That sounds like, well, honestly,

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a lot of detailed work just to keep AI happy.

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Isn't this just old -school SEO with, like, a

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much pickier attitude? Huh. It's a precision

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work, yes, absolutely. But it's foundational.

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AI needs that. that mathematically consistent

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data. It needs those technical labels to really

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know your core facts. Otherwise, it's forced

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to guess, synthesize, and that's risky. So it's

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about removing the guesswork for the machine.

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Exactly. OK. So once your facts are solid, step

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two and three are about making sure AI can technically

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access and read them. That means indexing and

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readability. Indexing is basically your ticket

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to the whole AI show. If Google or Bing doesn't

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even know a page exists, well, it can't possibly

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use it in an AI generated answer. Right. Makes

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sense. So you've got to check your critical pages

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are indexed. Use Google search console, the URL

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inspector tool, or even just the site .yourdomain

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.com search. Basic stuff, but crucial. And then

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the readability part. For the machine, not for

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people. Yeah, AI scans for structure. It doesn't

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read like we do, top to bottom, so you need clear

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headers, H1s, H2s, H3s. They act like a content

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map, guiding the AI. This is pretty much non

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-negotiable for processing. Okay. And we absolutely

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have to talk about schema markup. think of these

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as technical labels. They explicitly tell the

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AI, OK, this block of text, that's a product

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name, this number, that's its price, and this

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customer rating. Schema. It always sounds like

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the most boring technical part of everything

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SEO related. But it sounds like it's incredibly

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critical here, isn't it? It is. It's like putting

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a unique machine -readable barcode on every single

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piece of information, making sure the cashier

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robot scans the right price every single time.

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Perfect analogy. Absolutely. And look, since

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AI is basically an answer machine at its core,

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structuring content using an FAQ format, that's

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perfectly optimized for how it thinks and processes

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information. Gotcha. FAQs are good. And also,

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make sure your image alt text is descriptive,

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not just image1 .jpg. Make it a man giving a

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marketing presentation in a modern office. That

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context, vital for the AI. OK, so here's the

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question then. If AI is getting so smart, so

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good at pulling information together, Why do

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we still need all these super specific technical

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labels and this absolute consistency? Because

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without that structure and consistency, the AI

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risks making stuff up, hallucinating facts, or

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synthesizing incorrectly. Providing clear, consistent

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data just removes that dangerous margin for error

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in these guardrails. Right. Minimizing the chance

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of it going off script. Exactly. So that kind

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of wraps up part one, foundational consistency.

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That should really be your focus for the first

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few weeks, maybe the first month. Now we move

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into part two. Expanding your authority. So you've

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tidied up your own house, made sure AI can read

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everything perfectly. Now you have to build that

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external proof, that validation. What? Because

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AI search engines, they start from a place of

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skepticism. They're inherently cautious. They

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need independent external signals that you're

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real, you're active, you're legitimate before

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they'll confidently recommend you. OK, so that

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brings us to step four, which the sources call

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expanding your digital footprints. And the key

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here seems to be context, being present where

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AI learns about trustworthy businesses. So this

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means the obvious stuff like claiming and optimizing

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your Google business profile, Apple Maps, Bing

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places, high authority validators, but it goes

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deeper right into industry -specific places.

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Absolutely. If you're a SaaS company, you need

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to be on G2, Captera, if you sell products, maybe

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Amazon. Local services need those specific local

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directories. So these aren't just listings, they're

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like independent references for the AI. Exactly.

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When Google's AI sees consistent, verified info

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about you on G2 and your Google business profile

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and your website, it's confidence level that

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you're legit just skyrockets. And the efficiency

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game here is, wow, you can actually ask AI itself,

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prompt perplexity or chat GPT, list the top 10

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trusted platforms for a specialty coffee shop

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in London. Yeah. And boom, you've got your outreach

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list. Whoa. Imagine the efficiency of generating

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that targeted list so quickly, using AI to feed

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the AI essentially. It is pretty cool when you

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think about it. Okay, step five, hyper contextual

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content. This, I think, is maybe the biggest

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mental leap needed. We're shifting from the old

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librarian model of search to a personal assistant

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model. Explain that. Old Google was the librarian.

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You ask about, say, marketing strategies. It

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gives you a list of the 10 most popular books

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or articles on marketing. Pretty general. AI

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search is more like a personal assistant. You

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ask a really specific, long question about a

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marketing problem you have right now. And it

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doesn't just give you a list. It opens the right

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book, flips to the exact page, maybe even highlights

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the paragraph that solves your problem. immediate

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problem. Oh, okay. So AI questions are longer,

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more complex, much more specific to a situation.

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Exactly. Which means your content has to solve

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those super specific needs, not just broad topics

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anymore. Okay, so where do we find these golden

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nuggets? these hyper -specific problems. They're

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probably already hiding in your own data. Dig

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into your customer support tickets. Look at transcribed

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call notes. Check out sales team emails. Use

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the exact words your customers use when they

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describe their complex challenges. Real customer

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language. Yes. And also, social listening. Especially

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places like Reddit. Go into the niche subredets

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related to your field. You'll find raw, honest

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questions, people sharing their real frustrations.

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That's the kind of specific real -world problem

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AI needs content solutions for. That leads perfectly

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into step six, then. Decision -making content.

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Because the buying journey is getting shorter,

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isn't it? Massively shorter. If AI recommends

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you... That user is already, what, 80 % of the

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way there? So your content needs to give the

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AI absolute rock -solid confidence to make that

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recommendation. Yeah. And I have to admit, I

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still sometimes wrestle with that tendency to

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over -promote yourself versus just being genuinely

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helpful and objective. It's a tough balance.

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But the lesson from all this material seems crystal

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clear. You have to be the most helpful, most

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transparent resource during that evaluation phase.

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Trust over hype. Absolutely. Let's say you sell

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project management software. Don't just write

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another generic top five reasons to choose us

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post. That's old thinking. Instead, rate a detailed

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honest comparison, something like Asana versus

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Trello versus your software, which is really

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best for a marketing team under 10 people. OK,

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getting really specific. Be brutally honest about

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the pros and cons of the competitors, and then

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clearly explain exactly where your software shines

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for that specific context, that small marketing

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team, that kind of objectivity. That builds trust

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directly into the AI's training data about you.

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Okay, but if AI is this super -powered personal

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assistant, isn't there a danger that focusing

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so much on hyper -contextual stuff kind of narrows

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your market too much, it pigeonholes you? It's

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a valid question, but the risk seems pretty minimal,

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honestly. Because the quality of the user you

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get, the conversion quality, is potentially so

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much higher. You're trading that broad, low -intent

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traffic for users with very specific, complex

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problems that you are perfectly positioned to

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solve. Quality over quantity. Got it. Trade volume

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for value. Precisely. OK, that brings us to part

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three. Amplifying signals and building unbreakable

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trust. This is kind of the focus for the final

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30 days of that 90 day roadmap. All right. Step

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seven is mastering the Reddit strategy. This

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sounds intriguing. Why Reddit specifically? Yeah,

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this one stood out in the sources. Reddit is

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apparently one of the most frequently cited sources

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used for training and verification by all the

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major AI search engines, Google, Perplexity,

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you name it. AI pattern matches, mentions, and

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sentiment there to gauge real world opinion and

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trust. So what's the action plan? Just jump in

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and start promoting? No, no, definitely not.

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That'll get you banned fast. It requires discipline.

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You need to really understand the culture of

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the specific subreddits you target. Right. Find

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the key communities, set up monitoring for relevant

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keywords, and then engage genuinely. And the

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source is mentioned in the 80 -20 rule. Yes.

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Crucially, 80 % of your activity must be genuinely

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helpful. Answering questions, adding value, no

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promotion, just being a good community member.

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Only 20 % of the time, and only when it is a

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perfect natural fit for the conversation should

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you mention your solution. Violate that culture.

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Try to force it. The community will shut it down,

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and the AI learns not to trust those mentions.

00:12:22.730 --> 00:12:25.230
It backfires. OK, makes sense. Be helpful first.

00:12:25.750 --> 00:12:28.639
Step eight is strategic digital PR. This isn't

00:12:28.639 --> 00:12:30.200
just sending out a press release, is it? Not

00:12:30.200 --> 00:12:32.299
at all. The goal here is different. It's about

00:12:32.299 --> 00:12:34.700
getting your established facts, those core things

00:12:34.700 --> 00:12:37.220
from your brand fact sheet, reinforced and quoted

00:12:37.220 --> 00:12:39.700
across lots of independent, authoritative websites.

00:12:40.240 --> 00:12:42.039
Third -party validation again. So how do you

00:12:42.039 --> 00:12:44.059
do that strategically? Target roundup articles.

00:12:44.279 --> 00:12:46.120
You know, those best software for X listicles

00:12:46.120 --> 00:12:49.220
or top 10 agencies for Y posts? Find the ones

00:12:49.220 --> 00:12:51.519
that are already showing up in AI search summaries

00:12:51.519 --> 00:12:54.539
for your industry. OK. Find the winners. Then

00:12:54.539 --> 00:12:56.940
reach out to the author or editor. But don't

00:12:56.940 --> 00:12:59.720
just ask for a mention. That's lazy. Offer value

00:12:59.720 --> 00:13:02.860
instead. Exactly. Make their job easier. Offer

00:13:02.860 --> 00:13:05.320
them a unique angle they missed. Provide some

00:13:05.320 --> 00:13:08.220
exclusive data you have. Help them improve their

00:13:08.220 --> 00:13:11.000
existing article with some new nuance. You lead

00:13:11.000 --> 00:13:13.720
with value and earning that trusted mention or

00:13:13.720 --> 00:13:16.100
backlink becomes much easier. And again, we can

00:13:16.100 --> 00:13:19.059
use AI for efficiency here. Prompt perplexity

00:13:19.059 --> 00:13:22.340
or Google AI. Yeah. List the top 15 blogs or

00:13:22.340 --> 00:13:25.039
podcasts covering your specific industry. Yeah.

00:13:25.340 --> 00:13:27.320
And you get an instant outreach list for finding

00:13:27.320 --> 00:13:30.340
editors or maybe even guest spots. That's pretty

00:13:30.340 --> 00:13:33.299
powerful leverage. It really is. OK, final step,

00:13:33.419 --> 00:13:36.750
step nine. Collecting positive reviews. AI models

00:13:36.750 --> 00:13:38.629
are definitely trained to scan review sites.

00:13:38.870 --> 00:13:41.669
G2, TrustPilot, Google Business Profile. They're

00:13:41.669 --> 00:13:43.450
looking beyond just the star rating. Oh, yeah.

00:13:43.559 --> 00:13:45.539
They read the text to understand the sentiment,

00:13:45.720 --> 00:13:48.419
the context. They're measuring real -world trustworthiness.

00:13:48.539 --> 00:13:50.899
So you need a system for this. Absolutely. You

00:13:50.899 --> 00:13:53.960
need to automate review requests. Send them out

00:13:53.960 --> 00:13:56.980
right after those peak moments of customer satisfaction,

00:13:57.120 --> 00:13:59.840
like a successful delivery, or when a support

00:13:59.840 --> 00:14:02.840
ticket is resolved positively or a project milestone

00:14:02.840 --> 00:14:05.799
is hit. Timing is key. And guide the feedback.

00:14:06.000 --> 00:14:08.100
Don't just ask, did you like our service? That's

00:14:08.100 --> 00:14:10.320
too generic. Ask something more specific. Yeah,

00:14:10.320 --> 00:14:12.740
ask something like, What was the single biggest

00:14:12.740 --> 00:14:15.320
problem our product actually solved for you?

00:14:15.679 --> 00:14:18.440
That encourages them to use the rich contextual

00:14:18.440 --> 00:14:22.159
language that AI understands and uses to connect

00:14:22.159 --> 00:14:24.720
problems with solutions. OK, that makes a lot

00:14:24.720 --> 00:14:26.480
of sense. Getting the why behind the rating.

00:14:27.720 --> 00:14:30.580
So if we zoom out for a second, beyond clicks,

00:14:30.840 --> 00:14:33.840
beyond rankings, what's the single biggest metric

00:14:33.840 --> 00:14:36.419
that changes in this new AI search world? What

00:14:36.419 --> 00:14:39.029
really matters most? I think the sources point

00:14:39.029 --> 00:14:41.870
clearly to this. Success is now measured mainly

00:14:41.870 --> 00:14:44.750
by conversion quality and by the direct influence

00:14:44.750 --> 00:14:46.990
your brand actually has on the customer's final

00:14:46.990 --> 00:14:49.629
decision. It's about impact, not just visibility.

00:14:49.710 --> 00:14:52.029
Quality and influence. Got it. So let's recap

00:14:52.029 --> 00:14:54.190
the big idea here. We're shifting from chasing

00:14:54.190 --> 00:14:56.750
clicks to building trust. And it happens across

00:14:56.750 --> 00:14:59.730
three key phases, right? First, that foundational

00:14:59.730 --> 00:15:01.389
consistency, getting your facts straight with

00:15:01.389 --> 00:15:04.250
the brand fact sheet using schema, bedrock stuff.

00:15:04.870 --> 00:15:07.820
Second, building authority. That means creating

00:15:07.820 --> 00:15:10.340
hyper -contextual content that solves real problems

00:15:10.340 --> 00:15:12.639
and expanding your digital footprint onto trusted

00:15:12.639 --> 00:15:15.940
platforms. And third, amplifying trust signals

00:15:15.940 --> 00:15:18.799
through smart digital PR, gathering those positive

00:15:18.799 --> 00:15:21.220
detailed reviews and that disciplined 80 -20

00:15:21.220 --> 00:15:23.580
approach on platforms like Reddit. It's a clear

00:15:23.580 --> 00:15:25.570
roadmap. And the core philosophy really comes

00:15:25.570 --> 00:15:27.490
through. This isn't about gaming this system

00:15:27.490 --> 00:15:30.090
with tracks. It's about being genuinely helpful,

00:15:30.289 --> 00:15:32.950
being incredibly consistent, and building undeniable

00:15:32.950 --> 00:15:35.330
signals of trust that AI can confidently use

00:15:35.330 --> 00:15:37.350
to recommend you right when a customer needs

00:15:37.350 --> 00:15:39.750
a solution. Exactly. Be the signal, not the noise.

00:15:40.029 --> 00:15:41.750
And this isn't just theory. It's a phased plan.

00:15:42.070 --> 00:15:44.549
Over 90 days, roughly. Foundation first, then

00:15:44.549 --> 00:15:47.029
expand your footprint and content, then amplify

00:15:47.029 --> 00:15:49.490
those trust signals. So the closing thought for

00:15:49.490 --> 00:15:52.679
you, the listener. to chew on is this. AI Search

00:15:52.679 --> 00:15:55.000
is smart. It's contextual. It's conversational.

00:15:55.399 --> 00:15:57.580
Is your brand actively generating the specific

00:15:57.580 --> 00:15:59.559
consistent data points that needs to be represented

00:15:59.559 --> 00:16:02.580
accurately in every one of those AI conversations?

00:16:02.820 --> 00:16:05.480
Or are you kind of just letting AI guess about

00:16:05.480 --> 00:16:07.779
who you are or what you do? Maybe take five minutes

00:16:07.779 --> 00:16:10.080
right after this. Pull up your own About Us page.

00:16:10.320 --> 00:16:12.679
Does it perfectly match your reality? Check that

00:16:12.679 --> 00:16:15.279
consistency. It's step one. Out to your music.
