GEO: Why AI Search Is Making Your Website Invisible (and How to Fix It)
Your website might rank well on Google. It probably doesn't exist in AI search.
When someone asks ChatGPT "best financial advisor near me" or types "AI consulting" into Perplexity, the answer doesn't come from your Google ranking. It comes from structured data, author signals, and content that AI engines can parse and cite. Most business websites have none of this. Having spent years building both websites and AI systems — first as a CA(SA) at KPMG, then as someone who writes production code — I can tell you the gap between what AI engines need and what most sites provide is significant.
This gap has a name: GEO — Generative Engine Optimisation. And it's not a future problem. It's happening now. According to Conductor's analysis of 21.9 million Google searches, AI Overviews now trigger on 25% of all searches — up 92% in just six months. Organic click-through rates for those queries have dropped 61% (Seer Interactive). If your content isn't structured for AI citation, a growing share of potential customers will never see your business.
What is Generative Engine Optimisation?
GEO is the practice of structuring your website so that AI-powered search tools — ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot — can find, understand, and cite your content when answering questions.
Traditional SEO optimises for the ten blue links. GEO optimises for the AI-generated answer that appears above them.
The distinction matters because AI search doesn't rank pages — it cites sources. When Google's AI Overview answers a question, it pulls from a handful of websites and attributes them. Everyone else is invisible. There's no "page two." You're either cited or you're not.
This is fundamentally different from fighting for position #1. Seer Interactive tracked 3,119 keywords across 42 organisations over 16 months and found that brands cited in AI Overviews enjoy 35% higher click-through rates than competitors who aren't cited. Being in the AI answer is now worth more than traditional ranking position.
How AI search engines decide what to cite
AI engines don't just scrape your page and hope for the best. They evaluate specific signals to decide whether your content is trustworthy, relevant, and machine-readable. Here's what actually matters:
Structured data (JSON-LD). This is the single most important GEO signal. Websites with proper schema markup are three times more likely to appear in AI Overviews (BrightEdge). In fact, 82.5% of all AI citations come from pages with structured data. The key types: Organisation, Article, FAQPage, Author, and LocalBusiness schema. If you're a professional services firm, ProfessionalService schema with your location, services, and credentials makes you parseable by AI.
FAQ content with clear Q&A structure. AI engines answer questions. If your website contains questions and direct answers in a parseable format — proper headings, concise responses — it's dramatically more likely to be cited. This isn't about adding FAQ schema alone. The content structure itself matters. Real questions that match what people actually search for, with direct answers in the first sentence.
Author attribution and E-E-A-T signals. Google and AI engines evaluate Experience, Expertise, Authoritativeness, and Trustworthiness. Author schema — who wrote the content, what their credentials are — makes your content three times more likely to appear in AI answers (SE Ranking, based on 2.3 million pages). A page with "Written by [Name], [Qualification]" in both the visible text and the structured data carries more weight than anonymous content.
Content freshness. Pages updated within the last two months receive an average of 5.0 citations in AI responses, compared to 3.9 for pages older than two years (SE Ranking). AI engines prefer citing current information. If your website content hasn't been updated in a year, it's losing citation potential every month.
Content depth. Thin pages don't get cited. AI engines need enough substance to extract a meaningful answer. Aim for 300+ words per page at minimum, with 1,500–2,500 being the sweet spot for service pages and articles.
What most business websites get wrong
I built a free website audit tool that scores websites across six domains, including GEO. After running audits on dozens of business websites, the pattern is consistent:
No structured data. Most business sites — especially those built on WordPress templates or basic Wix/Squarespace setups — have zero JSON-LD schema. No business type, no service descriptions, no author data. To an AI engine, the site is just a blob of text with no machine-readable context.
No FAQ content. Service pages list what the business does but don't answer the questions potential clients are actually asking. "How much does [service] cost?" "What should I look for in a [provider]?" These are the queries AI engines answer — and the websites that structure their content around these questions get cited.
No author signals. Most sites don't identify who created the content. No author name, no credentials, no expertise indicators. AI engines evaluating E-E-A-T have nothing to work with.
No freshness signals. No published dates, no update dates, no datePublished or dateModified in structured data. The AI engine can't tell if the content was written yesterday or five years ago — so it defaults to fresher sources.
Blocking AI crawlers. Some sites inadvertently block AI crawlers through overly restrictive robots.txt configurations. If your robots.txt blocks Perplexity, ChatGPT, or Google's AI crawler, you've opted out of AI search entirely.
The audience using AI-powered search is growing fast. The websites serving that audience are mostly not ready.
How to check if your website is GEO-ready
The fastest way to find out is to run the free audit. It takes two to five minutes and scores your website across six domains, including a dedicated GEO score. The GEO assessment checks twelve specific signals:
- —Structured data presence and type (JSON-LD)
- —FAQ schema implementation
- —Author attribution (schema and meta tags)
- —Content freshness signals (datePublished, dateModified)
- —Heading hierarchy quality
- —AI crawler access (robots.txt configuration)
- —llms.txt presence
- —Meta description quality and length
- —Content depth (word count and substance)
- —Language declaration
- —Open Graph meta tags
- —Sitemap discoverability
You'll get a branded PDF report by email with your score, specific findings, and recommendations for each domain. No login required. No sales call. Just the data.
Practical steps to improve your GEO score
If you've run the audit and your GEO score needs work, here's what to prioritise — in order of impact:
1. Add JSON-LD structured data. At minimum, add a LocalBusiness or ProfessionalService schema to your homepage with your business name, description, location, services, and contact details. If you publish articles, add BlogPosting or Article schema with author, date, and publisher information. This is the highest-impact change you can make. Google's Search team explicitly recommended JSON-LD for AI-optimised content in May 2025.
2. Add FAQ sections to your key pages. Take your services page and add a "Frequently Asked Questions" section with five to seven real questions your clients ask. Format them as proper headings with direct answers. Make the questions match how people actually search — "How much does an AI readiness audit cost?" not "Audit Pricing Information."
3. Add author information. Put a name, title, and brief credential on every piece of content. Include author schema in your structured data. If you're a CPA, an attorney, or a specialist — say so in the visible text and the schema.
4. Update your content regularly. Add datePublished and dateModified to your page schema. Update key pages at least quarterly. Fresh content with visible dates gets cited more.
5. Check your robots.txt. Make sure you're not blocking AI crawlers. The default should be permissive — unless you have a specific reason to block them, let AI engines access your content.
6. Write meta descriptions that work as summaries. AI engines use your meta description as context when deciding whether to cite you. Write it as a clear, substantive summary of the page — not keyword stuffing. Aim for 120–160 characters.
The cost of these changes ranges from zero (if you can edit your own site) to $300–$900 if you need a developer to implement schema markup and restructure content. Compared to the visibility you're losing every month in AI search, it's a straightforward investment.
GEO vs SEO: what stays the same and what changes
GEO doesn't replace SEO — it extends it. Most of the fundamentals are the same: good content, proper headings, fast load times, mobile responsiveness. What changes is the emphasis.
| Element | SEO impact | GEO impact | |---|---|---| | Structured data (JSON-LD) | High | Critical | | FAQ content | Medium | Critical | | Author credentials | Low | High | | Content freshness | Medium | High | | Internal linking | High | Medium | | Page speed | High | Low | | Keyword targeting | High | Medium | | Meta descriptions | High | High |
The biggest shift: SEO rewards pages that match keywords. GEO rewards pages that answer questions with citable, structured, authoritative content. If your website does both, you win in both channels.
The first-mover advantage
Most business websites are still optimised purely for traditional search — if they're optimised at all. Structured data adoption among mid-market businesses is still low. FAQ schema is rare. Author attribution is almost non-existent.
This is an opportunity. The businesses that implement GEO fundamentals now will be the ones AI engines cite when potential clients ask questions about their industry. Once AI engines establish citation patterns, displacing an established source becomes harder. First movers build a compounding advantage.
The barrier to entry is also low. These aren't expensive, complex changes. They're structural improvements to your existing website that make it readable by both humans and machines. Most of the work is adding schema markup, restructuring content around questions, and keeping it fresh.
Frequently Asked Questions
What is Generative Engine Optimisation (GEO)?
GEO is the practice of structuring website content so that AI-powered search tools — ChatGPT, Perplexity, Google AI Overviews, Copilot — can find, understand, and cite it. Unlike traditional SEO which targets ranking position, GEO targets citation in AI-generated answers.
Does GEO replace SEO?
No. GEO extends SEO. The fundamentals — quality content, proper structure, fast loading, mobile responsiveness — still matter for both. GEO adds emphasis on structured data, FAQ content, author attribution, and content freshness. A website optimised for both channels gets the best results.
How do I check my website's GEO score?
The fastest way is to run the free website audit. It scores your site across six domains including a dedicated GEO assessment that checks structured data, FAQ schema, author attribution, content freshness, and ten other AI-readiness signals. You'll receive a branded PDF report by email within a few minutes.
How much does it cost to optimise a website for GEO?
Basic GEO improvements — adding JSON-LD schema, restructuring FAQ content, adding author signals — typically cost $300–$900 if you hire a developer. Some changes (updating content, adding FAQ sections) can be done by anyone who can edit their website. The Website Audit & Rebuild service covers full GEO implementation as part of a broader website overhaul.
Is GEO relevant for my business?
Yes. AI search adoption is accelerating globally. When consumers use ChatGPT or Google AI Overviews to find services, the businesses that appear in those AI answers are the ones with structured, AI-readable websites. Most business sites aren't there yet — which means early movers have a real advantage.
If GEO is something you want to get right, start by running the free audit to see where you stand. Or book a call — I can walk you through your results and what to fix first.
Chartered accountant turned AI builder. I help mid-market businesses implement AI that delivers measurable ROI — from strategy through to deployed, working software.
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