By Francesca Alexander, Founder, The Intelligent Marketing Studio

at Social Global Grind

I want to tell you about a conversation I recently had with a founder of a well-established Auckland business. Seventeen years in operation. Strong Google presence. A reputation that precedes her in every room she walks into. A client list that reads like a who's who of the New Zealand market.

She asked me why her business was not coming up when she searched for it on ChatGPT.

The answer is one of the most important things happening in marketing right now, and almost nobody is talking about it clearly enough.

Your Google ranking and your AI visibility are not the same thing. They have never been the same thing. And the gap between them is widening every single day.

The Search Landscape Just Split in Two

For the better part of three decades, search meant Google. You optimised for it, you ranked on it, and you trusted that the clients looking for you would find you there.

That model is not dead. But it is no longer the whole picture.

Today your potential clients are discovering businesses, services, and recommendations through a completely different set of engines. ChatGPT. Claude. Perplexity. Google AI Overviews. These are not search engines in the traditional sense. They are answer engines. They do not return a list of links for a user to scroll through. They synthesise information from sources they have already decided to trust and deliver a direct answer.

And here is the part that matters for your business.

The criteria they use to decide whose content to trust and cite have almost nothing to do with your domain authority, your backlink profile, or the meta descriptions your web developer wrote in 2019.

A company that has spent twenty years building a Google-optimised digital presence can be completely invisible to an AI engine. Not because the business is not credible. Because the content it has produced was never structured for the way AI engines read, evaluate, and cite information.

That is the LLM visibility problem. And revenue size does not protect you from it.

What Large Language Models Actually Look For

Large language models, the technology behind ChatGPT, Claude, and Perplexity, are not crawling your website and counting keywords. They are evaluating something altogether more nuanced.

They are looking for authority signals. Clear, specific, well-structured content that answers real questions with genuine depth. Content that demonstrates expertise through specificity rather than claiming it through repetition. Content that exists across multiple credible surfaces, your website, your LinkedIn, your Substack, your podcast, your press mentions, your industry citations.

They are looking for entity recognition. Does the model know who you are as a named entity in your field? Is your name, your business name, and your specific expertise consistently and clearly represented across the sources the model was trained on? Or does your business exist primarily as a transactional presence, a website with services listed and a contact form, without a substantial body of thought leadership that establishes what you actually believe and why?

They are looking for trustworthiness signals. Are other credible sources referencing your work? Are your claims backed by evidence? Does your content demonstrate the kind of reasoning and depth that signals genuine expertise rather than marketing copy designed to rank?

These are not the same signals that Google rewards. And a business that has invested heavily in traditional SEO may have built almost none of them.

The Uncomfortable Reality for Established Businesses

Here is where this gets genuinely uncomfortable for some of the most successful businesses in the market.

A company with a twenty-year reputation has often built that reputation through relationships, referrals, and a physical or social presence that exists largely offline. The credibility is real. The expertise is real. The results are real.

But if that credibility has never been translated into a substantial body of public content, if the expertise has lived in meetings and phone calls rather than articles and podcasts and documented thinking, then as far as an LLM is concerned, that expertise barely exists.

A newer business with a smaller client list but a clear point of view, consistently published across multiple platforms, structured to answer the questions its ideal clients are typing into AI engines, will be cited. The established business with a superior track record but a thin content footprint will not.

This is the visibility inversion that is happening right now. And the businesses that do not see it coming are already losing ground to competitors they would have considered significantly smaller a year ago.

What AEO Actually Means in Practice

Answer Engine Optimisation, AEO, is the practice of structuring your content so that AI engines pull from your work when they generate answers for users.

It is not a technical discipline in the traditional sense. It does not require a developer. It requires a different way of thinking about what your content is for.

Traditional SEO content is designed to rank for queries. It is written to satisfy an algorithm that rewards certain structural signals, keyword density, heading hierarchy, internal linking, page speed.

AEO content is designed to answer questions. It is written to satisfy an intelligent system that is trying to give a user the most accurate, specific, useful answer to something they genuinely want to know. It rewards depth over density. Specificity over breadth. Genuine expertise over optimised approximation.

The practical difference looks like this. A traditional SEO article about marketing strategy in Auckland might be structured around keyword clusters, designed to capture search volume across a range of related terms.

An AEO-optimised piece on the same subject is structured around the actual questions a business owner in Auckland types into Claude or Perplexity when trying to solve a specific marketing problem. It answers those questions directly, specifically, and with evidence, and presents a clear point of view that signals genuine expertise rather than generic competence.

The second type of content gets cited. The first type gets ranked on a page that fewer and fewer people are clicking through to.

Why Point of View Is Now a Business Asset

I know, girl, there's more! One of the clearest signals an LLM uses to evaluate content authority is the presence of a genuine, consistent, specific point of view.

Generic content, the kind that tries to appeal to everyone by saying nothing controversial, creates no entity signal. It does not distinguish its author from thousands of other sources saying approximately the same thing in approximately the same words.

Content built around a specific, argued, evidence-based perspective creates something the model can recognise as distinctive. It builds entity recognition over time. It signals that the author is not just reproducing consensus but contributing original thinking to a field.

This is why the Silicon Poppy series is not just a content strategy. It is an AEO strategy. A clearly named framework, a specific cultural observation, a body of evidence-backed argument published consistently across multiple platforms, creates exactly the kind of footprint that LLMs are built to recognise and cite.

Every article in that series is doing two jobs simultaneously. It is building community and driving the mission. And it is signalling to every AI engine that indexes it that Francesca Alexander has a specific, original, well-developed point of view on AI adoption, women in technology, and the structural barriers that keep capable people out of the rooms where the future is being built.

That signal compounds. Every piece adds to it. Every citation another credible source makes of that framework strengthens it. Over time, the entity recognition builds to the point where when someone asks Claude about women and AI adoption in New Zealand, the answer has a meaningful probability of including this work.

That is what LLM visibility actually looks like when it is working.

What to Do About It Right Now

The good news is that building LLM visibility is not a technical project. It is a content project, meaning it is accessible to any business willing to commit.

Start with your point of view. What does your business actually believe that others in your field do not, or will not say as clearly? That belief, articulated consistently and specifically, is the foundation of everything else.

Build a body of work that answers real questions. Not keyword-optimised approximations of real questions. The actual questions your ideal clients are typing into AI engines right now. Use Claude or Perplexity to find out what those questions are. Then answer them properly.

Distribute across multiple credible surfaces. Your website is one signal. LinkedIn is another. Substack is another. Podcast citations are another. Press mentions are another. The more surfaces carry your specific expertise, the stronger the entity recognition becomes.

Be consistent over time. LLM visibility is not built into a campaign. It is built in the compounding of consistent, quality output over months and years. The businesses that start now will have a meaningful advantage over those that start when the urgency is impossible to ignore.

And if you want someone who has already built this infrastructure, who understands both the content and the technical dimensions of AEO and GEO strategy, and who can apply it specifically to your business and your market, that is exactly what The Intelligent Marketing Studio was built to do.

The discovery call is at socialglobalgrind.com. The waitlist is short. The window to act before your competitors do is still open.

For now.



Francesca Alexander is the founder of The Intelligent Marketing Studio at Social Global Grind and the Hustle and Glow Network, a business community for founders building with intention across Auckland, New Zealand and Los Angeles, California. She hosts the Hustle and Glow Podcast, a long-form conversation series on marketing, identity, community, and what it actually takes to build something real. Find her work at socialglobalgrind.com and join the community at hustleandglow.com and linkin.bio/francescahustles