FAQ

AI models assess trust signals similar to how a smart colleague would vet a referral. They look for: verified credentials, consistent information across platforms, authoritative content that answers real questions, third-party citations, and clear evidence of expertise. This is often summarized as E-E-A-T — Experience, Expertise, Authoritativeness, and Trustworthiness.

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's Google's quality framework, but AI models use similar signals. The first E (Experience) is relatively new — it emphasizes that you've actually done the work, not just written about it. Case studies, project examples, and real credentials matter more than ever for GEO.

An entity is how AI understands who you are. Not just "a website with words on it" but a verified thing: a person, a business, an organization with specific credentials, location, services, and expertise. When you have strong entity signals, AI can confidently recommend you. Without them, you're just noise.

Think of AI like sonar. It can't "see" your business directly — it sends out signals and builds a picture based on what bounces back. Your website is one surface. A directory listing is another. A press mention is another. A professional registry is another.

The more independent surfaces that return a consistent signal about who you are and what you do, the sharper and more confident AI's picture of your business becomes. If there's only one surface to bounce off, the picture is vague. If there are dozens — your website, industry directories, professional registrations, media coverage, schema markup — AI can see your business clearly and recommend you with confidence.

A single strong backlink is one echo. A full identity infrastructure is a complete map.

Schema markup is code added to your website that tells AI exactly what things are: "This is a business. These are the founders. This is what they specialize in. Here's how to verify them." It's invisible to humans but essential for machines. Think of it like translation — turning your website into a language AI can read fluently.

A knowledge graph is how AI organizes information about entities and their relationships. When your business is properly connected in AI's knowledge graph, it understands that you're a real entity with verified expertise — not just a collection of keywords.

Share of answer is the percentage of times you're recommended when AI is asked about your category. If someone asks "Who's the best property buyer's agent in Melbourne?" and you're mentioned in 3 out of 10 queries, your share of answer is 30%. We track this across ChatGPT, Perplexity, Gemini, and Claude.

This is the new gold standard. In the old SEO world, a "zero-click" search was bad — it meant Google answered the question and nobody visited your website.

In the AI era, a Zero-Click Citation is a victory. It means AI answered the user's question directly and cited you as the authority. You win the reputation and the trust, even if they don't visit your website immediately. Your name is now in their head as "the one the AI recommended." When they're ready to act, they come to you.

Usually because your expertise exists in formats AI can't easily access: locked in your head, buried in PDFs, spread across social media, or formatted without proper structure. You might be the best in your field, but if AI can't verify that, it can't recommend you.

It's our term for when your best expertise is trapped in formats AI can't access. Podcasts without transcripts. Videos without captions. Insights shared on social media but never published on your own site. Decades of knowledge locked in email responses to clients. PDFs that AI can't parse. Webinar recordings nobody transcribed.

You have a Ferrari engine — but it's wrapped in a chassis AI can't recognize. The expertise exists. It's just invisible to machines.

Because they read the world differently.

Gemini (Google) reads the live web. It sees changes almost instantly because it's connected to Google Search. ChatGPT relies more heavily on training data — information it "learned" months ago during its last training cycle.

If you're visible on Gemini but not ChatGPT, it means your current signals are good, but your historical authority is weak. We fix this by building what we call "Entity Permanence" — signals strong enough that when ChatGPT updates its training data, you become part of its long-term memory, not just a temporary search result.

This is actually common — and it's why positioning matters so much for AI visibility.

When you ask AI for a recommendation, it often asks follow-up questions first: "What type of massage are you looking for — relaxation, deep tissue, sports recovery?" or "Is this for a specific issue like back pain?"

AI is trying to match intent to expertise. The businesses with the clearest positioning get recommended more often because AI can confidently match them to specific needs. If your website says "we do everything for everyone," AI can't confidently recommend you for anything specific.

Because it already has thousands of versions of the same generic advice.

AI cites content that gives it something new — what we call Information Gain. Specific project data, real outcomes, original expertise it can't get from other sources. A blog post saying "heritage renovations require careful planning" adds nothing. A case study showing "we converted a heritage church into 8 residential dwellings in 14 months with 20% cost savings using sustainable materials" — that's information AI can actually use to answer someone's question.

Generic thought leadership, rephrased concepts, opinion pieces — AI doesn't need more of that. It already has thousands of versions. Information Gain is the stuff that makes AI's answers better, more specific, and more grounded than they were before your content existed.

Yes — and not just for the backlink.

Press mentions from independent publishers act as external verification of your entity. When multiple authoritative sources confirm who you are and what you do, AI's confidence in recommending you increases significantly. It's the same principle as directory listings — independent surfaces that bounce back a consistent signal about your business.

We build this into your entity infrastructure so that every press mention, every directory listing, and every professional registration reinforces the same identity. AI cross-references these sources. The more convergent the signal, the more confidently it recommends you.

From multiple sources — and many of them aren't the ones you'd expect. It's not just Google and Yelp. AI platforms pull local data from directories and databases most businesses have never heard of, let alone claimed or updated.

We audit all the directories that feed AI platforms — not just the obvious ones.

It's our comprehensive audit of your current AI visibility across six categories: existence check (are you being cited?), infrastructure audit (is your foundation readable?), authority signals (can AI verify you?), content readiness (is your expertise structured?), competitive position (who's winning instead?), and opportunity map (what's it costing you?). You get a clear picture of where you stand: your AI Visibility Score, which competitors are showing up instead of you, specific queries where you're invisible, and a prioritized roadmap of what to fix first.

It's our process for building your technical foundation — the layer that tells AI who you are. This includes schema architecture, anchor pages, and the connections that thread your entire digital presence back to a single verified identity. Without this, content production is like furnishing a house without walls.

It's our complete production system for ongoing AI visibility — what we call "World Building." We produce 12-15 Knowledge Entries per month — structured articles designed specifically for AI extraction. Not blog posts. Not thought leadership fluff. Precision-engineered answers to the questions your ideal clients are asking.

Knowledge Entries are our term for the structured content we produce. Each one is a line item of expertise in the knowledge graph — answering a specific question your ideal clients ask, formatted so AI can extract and cite it. Different from blogs because they're built for machines first, humans second. A blog says "here's what I think." A Knowledge Entry says "here's the authoritative answer."

It's your single source of truth — everything we know about your business, expertise, and point of view. If it's not in the Codex, our system can't write it. This eliminates the "AI made stuff up" problem entirely. The Codex governs every agent in our production system. Your expertise, verified, structured, and protected.

It's our quality verification system. Every piece of content we produce is scored against multiple dimensions of content quality — from whether it directly answers the question, to the depth of expertise demonstrated, to whether AI can actually extract and cite it. If it doesn't pass our threshold, it doesn't publish. No exceptions.

Setup (Entity Infrastructure Protocol) builds the foundation: schema, knowledge graph connections, anchor pages. It's typically a one-time investment. Ongoing work (The PG Identity Engine™) is "World Building" — the monthly content production that feeds AI systems and compounds your authority over time. You can't build a world in a weekend, which is why this is an ongoing engagement.

Because AI search doesn't work like Google search. When someone types keywords into Google, it matches words on a page. When someone asks ChatGPT or Perplexity a question, the AI is matching intent — the meaning behind the question, not the exact words. That means your content needs to cover the full landscape of how people actually ask about your expertise. Not just "heritage architect Melbourne" but "who should I hire if my council rejected my renovation plans" and "how do I get a heritage overlay removed in Port Phillip." These are different questions with different intent, and AI treats them as completely different queries. On top of that, AI engines actively favour fresh content. Google's algorithms reward recency. Perplexity applies time decay — older content loses weight. If you publish once and stop, you're slowly fading from AI's memory. That's why we call the ongoing work "World Building." Each month we're expanding the world of facts AI knows about you, covering new questions, refreshing existing answers, and keeping you inside the visibility window that AI engines prioritise. It compounds — month 6 is significantly more powerful than month 1 because AI has encountered your expertise across dozens of contexts and built confidence in citing you.

Traditional SEO targets keywords. GEO targets intent. SEO asks: "What words are people typing?" GEO asks: "What questions are people asking, and what does the AI need to confidently answer them?" Keywords match strings of text. Intent matching understands that "who should I hire for my Victorian terrace renovation" and "best heritage architects Melbourne" are the same underlying need expressed differently. AI reformulates queries based on intent, not keywords — so your content needs to be built for the way AI thinks, not the way Google's old algorithm matched text. We also build for E-E-A-T, freshness, and semantic structure simultaneously. Every piece of content demonstrates real experience, stays current with what Google's recency signals reward, and is structured so AI can extract and cite it. That's three layers working together — not just keyword density on a page.

Jacquie has spent nearly 20 years building and scaling businesses at the intersection of technology, brand strategy, and distribution — starting with a foundation in computer science and law. Before founding Probably Genius, she built and scaled Silverlane, a digital agency that grew to 16 staff and $7M in revenue, working across entertainment, finance, and tech verticals. That included consulting with Screen Australia-funded production companies on digital positioning, speaking at YouTube Sydney on pre-launch strategy, and helping clients secure over $65M in venture capital and investment funding through strategic positioning. She spent two years researching AI systems from first principles — not adapting old SEO playbooks, but studying how large language models actually retrieve, evaluate, and cite information. How vectors work. How training data shapes recommendations. How entity recognition determines who gets cited and who gets ignored. The Probably Genius methodology was engineered from that foundation — built for how AI actually works, not how search used to work. Chris Shaw, co-founder, brings operations architecture and technical implementation. Together they've shipped over 1,000 projects across two decades.

We guarantee consistent execution: 12-15 Knowledge Entries monthly, quarterly strategy sessions, and every piece passing our quality threshold. We don't guarantee specific rankings or revenue — too many variables outside our control. What we can say is that clients who stick with the program for 12+ months consistently see meaningful improvements in AI visibility and lead quality.

You start appearing when people ask AI about your specialty. Leads mention they "researched you through ChatGPT" before calling. Your share of answer grows quarter over quarter. Competitors wonder how you're showing up everywhere. The leads that come through convert faster and push back less on price — because AI already vouched for you.

AI models update their knowledge gradually. They need to encounter your structured content multiple times across different contexts before they trust it enough to cite. This is infrastructure, not advertising — you're building a foundation, not buying attention. Think of it like building a physical reputation. You can't become "the trusted advisor everyone recommends" in 30 days. The technology works the same way.

Yes — we work on a 12-month contract. Building a Knowledge Graph is like building a physical reputation. It doesn't happen in a weekend. AI models need time to crawl, index, and verify the new "world" we're building for you. We don't take on clients looking for a 30-day quick fix, because the technology simply doesn't work that way. The clients who see the best results are the ones who commit to the full year.

They will. That's why we include quarterly strategy sessions — to adapt based on what we're seeing. The fundamentals (entity clarity, structured content, genuine expertise) tend to remain valuable even as platforms evolve. We're building authority, not gaming algorithms. When platforms change, well-structured expertise still wins.

We track share of answer across major AI platforms (ChatGPT, Perplexity, Gemini, Claude), monitor citations, and measure growth quarter over quarter. You'll get monthly visibility reports showing exactly where you stand and how that's changing.

You can, but it will cost you exponentially more to catch up. AI Knowledge Graphs work on cumulative authority. The entity that establishes itself first as the trusted source for a topic gets reinforced over and over again as the model learns. If you wait 12 months, you aren't just starting from zero — you're trying to displace a competitor who has effectively become "the incumbent" in AI's long-term memory. The cement is wet right now. In a year, it will be dry.

Eventually, yes — competitors will catch on. That's precisely why timing matters. This is an early-mover opportunity, similar to SEO 15 years ago. The businesses that establish authority first become the default recommendations. Everyone else spends years and significantly more money playing catch-up. And here's the thing: our program isn't "set and forget." Every quarter we track competitor movements, identify new gaps, and refine your positioning. We focus on what makes you the obvious choice — your story, your niche, your distinction. AI doesn't just cite whoever optimizes; it cites who it perceives as credible, authoritative, and distinctive. The question is whether you want to be the one they're chasing, or the one playing catch-up.

It's how we connect every piece of content back to your core entity. Instead of having scattered pages that AI sees as disconnected, everything links back to you. Authority compounds instead of fragmenting. Every article, every FAQ, every service page — all connected back to your verified entity identity.

It depends on the setup. For content publishing, many clients give us access to their CMS (WordPress, Webflow, etc.). For schema implementation, we either work with your developer or implement directly. We're flexible — whatever makes sense for your team.

Often positively. Google's recent algorithm updates reward exactly what we build: entity clarity, structured data, genuine expertise signals. Many clients see their Google rankings improve as a byproduct of the AI visibility work. Our clients are finding we often outperform their existing SEO on organic Google results too — because Google's algorithms are now rewarding entity authority and structured data.

We focus on the major AI answer engines: ChatGPT (OpenAI), Perplexity, Gemini (Google), and Claude (Anthropic). The infrastructure we build is platform-agnostic — good entity signals and structured content work across all of them.

Usually not. We work with your existing site. The infrastructure (schema, structured data) gets added to what you have. Content gets published through your existing CMS. We might recommend structural changes if your current site has significant issues, but most clients keep their existing platform.

We can still add schema and publish content, but you might not get full benefit until the site is modernized. We'll be honest about this in the diagnostic — if your foundation has serious issues, we'll tell you what needs fixing first.

An anchor page is a comprehensive knowledge hub on a key topic — designed to be the definitive resource AI cites when that topic comes up. It's longer and deeper than a typical blog post, structured for extraction, and serves as a citation magnet that other content links back to.

Only if you want to be invisible. If you block the bots (like GPTBot or ClaudeBot), you're telling AI: "Do not read my site. Do not learn about my business. Do not recommend me." For a software company protecting proprietary code, blocking might make sense. For a professional service firm whose product is reputation, blocking the bots is the digital equivalent of locking your front door and hiding your sign. You cannot be recommended by a system you refuse to speak to.

Different platforms work differently. Gemini and Perplexity have live web access — they can see changes relatively quickly. ChatGPT relies more on training data snapshots taken at specific points in time. If your site is properly structured when they capture that snapshot, you're in the model. If not, you're invisible until the next training cycle — which could be 6+ months. That's why the window between now and the next major training update is critical. By the time most businesses realize they need an "AI search strategy," the training data is already set.

The Client Codex. Everything our system writes must be sourced from your verified knowledge base. If it's not in the Codex, it can't be written. Plus, the AI Integrity Standard™ catches anything that doesn't meet our quality threshold. No hallucinations. No made-up credentials. No invented case studies. No fabricated statistics. This is the single biggest difference between us and agencies that just "use AI to write content."

We try to front-load the knowledge extraction in the first month, then minimize ongoing demands. Most clients spend 2-3 hours upfront, then maybe 30 minutes per month on review and feedback. We're not asking you to write — we're asking you to talk about what you know.

Yes. We have a review process built in. You'll see everything before it goes live, and we won't publish anything you're not comfortable with. That said, we encourage trusting the process — if something passes the AI Integrity Standard™, it's met the quality bar.

Good — that's raw material. The problem is usually that it's unstructured, not schema-connected, or formatted in ways AI can't easily extract. We'll audit what exists, identify what can be upgraded, and fill the gaps with new Knowledge Entries.

Blog posts are written for humans, often about news, opinions, or updates. Knowledge Entries are structured for AI extraction first — answering specific questions, citing sources, formatted with clear sections AI can parse. A blog says "here's what I think." A Knowledge Entry says "here's the authoritative answer."

We try to. The Codex captures your perspective, your terminology, your way of explaining things. The content should sound like you on a good day, not like generic AI output. If something feels off, tell us — we refine until it's right.

Topics where your ideal clients are asking questions. We identify high-value queries through research, then build content that positions you as the authoritative answer. The goal is owning the questions that lead to business, not just publishing for volume.

Here's the reality: about 50% of new web content is now AI-generated. But only 18% of AI citations go to AI-generated content. The other 82% goes to human-quality content that meets higher editorial standards. The difference isn't human versus machine. It's quality versus quantity. Most agencies use AI to produce "consensus content" — generic text that repeats what's already on the internet. AI models treat this as training data, not as a source to cite. They ignore it because it adds no new information. We do the opposite. We structure verified expertise for AI to read. We focus on Information Gain — giving the AI new, structured facts it doesn't have yet. That's what gets cited.

This is infrastructure, not a quick fix. The work required to properly build entity foundations and produce verified content at scale has a minimum cost. We could charge less by cutting corners — fewer articles, no quality verification, generic content without a Codex. But that would damage your reputation, not help it. We'd rather do fewer projects well than many projects poorly.

Not in the traditional sense. The diagnostic serves as your "see before you commit" option. While it has a billable value of $1,500, we currently waive the fee for qualified firms. You'll see exactly where you stand and what we'd do about it. If you decide to proceed, you've already got the roadmap.

12-15 Knowledge Entries (World Building), all passing our quality threshold. Schema implementation for each piece. Monthly visibility reports showing share of answer trends. Direct access via Slack or email. Quarterly strategy sessions to review performance and plan the next 90 days. Basically: we handle everything on the AI visibility side.

We don't do month-to-month because this work requires commitment to show results. The 12-month contract exists because the technology genuinely needs that time to work. That said, if after 6 months we're not seeing meaningful progress, we'll have an honest conversation about what's happening and whether to continue. We're not interested in taking money for something that isn't working.

We can discuss splitting setup costs across the first few months if that helps with cash flow. Ask us — we're flexible within reason.

No. We guarantee execution — the work gets done to the standard we promise. We don't guarantee specific outcomes because too many variables are outside our control. What we can say is that we've never had a client regret the investment after 12 months.

Your website is the chassis. AI visibility is the engine. A new website gives you a modern platform, better user experience, maybe improved Google rankings. But it doesn't automatically make you visible to AI. Most web designers don't implement proper schema. Most don't think about knowledge graph connections or entity architecture. Think of it this way: you've got a beautiful new car, but it doesn't have an engine that AI can recognize. We install that engine. The good news is that a new website is actually the perfect foundation for AI infrastructure. It's much easier to build on a modern platform than to retrofit an outdated one.

That's a good problem to have — and one we can manage. We can pace content production based on your capacity. We can also focus on higher-intent, higher-value queries rather than broad volume. The goal is qualified leads that convert, not a flood of tire-kickers. If you're genuinely worried about capacity, that's a conversation worth having in the diagnostic. We'll build a strategy that matches your actual ability to serve clients.

Absolutely. In fact, many clients find the infrastructure we build makes their SEO work better too. Google's algorithms now reward exactly what we create: entity authority and structured data. You can keep your SEO person. The infrastructure we build makes everything they do work harder.

No. In fact, it might be hurting you. Using AI to write content usually produces "consensus content" — generic text that repeats what's already on the internet. AI models treat this as training data, not as a source to be cited. They absorb it but don't attribute it. GEO is the opposite. We don't just use AI to write; we structure verified data for AI to read. We focus on Information Gain — giving the AI new, structured facts it doesn't have yet. Using ChatGPT to write a blog is just creating noise. We create signal.

Ask them three questions: "Can you show me the schema markup on my site?" If the answer is that a plugin handles it, that's basic checkbox schema. It satisfies minimum requirements but it's nowhere near what AI needs to confidently identify and recommend you. "What's your process for preventing AI hallucination in the content you produce?" If they don't have a defined system for this, they're publishing unverified content under your name. "What's my current Share of Answer across ChatGPT, Perplexity, and Gemini?" If they don't know what that means, they're not tracking AI visibility. They're tracking Google rankings and calling it a day. Most agencies aren't lying to you. They're just solving a different problem — the 2015 version of search.

Probably nothing "wrong" — it's just basic. Standard SEO plugins generate what we call "checkbox schema" — enough to technically satisfy Google's structured data requirements. It's the bare minimum. What AI needs is fundamentally different — it needs to understand your business as a complete entity with verified credentials, specific expertise, and connected authority. That level of depth doesn't come from a plugin. The difference becomes clear when we run the diagnostic.

Pull up your site in Google's Rich Results Test or Schema Markup Validator. You'll probably see the basics — Organization, maybe WebSite, maybe Article. The question isn't whether schema exists. It's whether it's comprehensive enough for AI to build a confident picture of who you are. Most schema we audit looks complete on the surface but is missing the entity-level depth that AI needs to recommend you over a competitor. Our diagnostic shows exactly what's there and what's missing.

Yes — we complement, we don't replace. Your marketing agency handles brand, campaigns, creative, maybe social. We handle the technical infrastructure that makes AI systems recognize and recommend you. Different skill sets, different outcomes. Many clients have us work directly with their existing agency. We handle the schema and content production; they handle everything else. No territorial conflicts because we're not competing for the same work.

Because their business model depends on reporting "clicks" and "traffic" to you every month. AI reduces clicks but increases influence. If your goal is "lots of people visiting my blog," stick with traditional SEO. If your goal is "qualified buyers trusting my name," you need AI visibility. We optimize for revenue, not traffic.

They probably will eventually. That's exactly why timing matters. The firms that establish authority first become the default recommendations — everyone else spends years and significantly more money trying to catch up. Early movers in AI visibility have a meaningful, compounding advantage. Think of it like SEO in 2008. The businesses that invested early dominated for a decade. The ones who waited spent 10x more to catch up — and many never did.

A few are emerging. Most SEO agencies are adding "AI optimization" to their offerings, but few understand the entity infrastructure layer. Most produce volume, not precision. If you're evaluating GEO providers, ask them what their quality threshold is for publishing content, how they prevent hallucination and verify facts, and whether they can show you their schema implementation methodology. The answers will tell you whether they're doing real infrastructure work or just rebranding content marketing.

We built the methodology from first principles — not as an add-on to an SEO agency. We studied how large language models actually retrieve, evaluate, and cite information, then engineered a system purpose-built for that reality. The AI Integrity Standard™, the Codex methodology, the 109-Point Diagnostic — these aren't rebranded existing services. We also practice what we preach. Ask ChatGPT about AI visibility consultants and see who comes up. And you work directly with our founders, Jacquie and Chris — not a junior team. The people who understand this best are the ones doing the work.

Compare it to what you're already spending. Many businesses pay $3,000-8,000/month for traditional SEO and content marketing that delivers declining returns. They're optimizing for a shrinking channel. At $1,500/month, you're building infrastructure for where search is going, not where it's been. The asset compounds over time. And unlike ad spend, the investment keeps working after you stop paying. The real question isn't "is this expensive?" It's "what's the cost of being invisible while your competitors get recommended?"