SEO and AI

Generative Engine Optimisation Ireland 2026

What GEO is, the research-backed tactics that get Irish businesses cited in AI answers, and how to audit your current AI search visibility.

12 min read Diarmuid Byrne, System Setter

TL;DR

Generative Engine Optimisation (GEO) is the practice of structuring your content so AI systems cite your business when answering relevant questions. The three tactics with the biggest proven impact are: adding verifiable statistics with source links (+41% AI visibility), including inline citations to authoritative sources (up to +115% for lower-ranked pages), and using direct quotations from recognised authorities (+28%). These findings come from a peer-reviewed study published at ACM KDD 2024. GEO builds on standard SEO foundations: it is an additional layer, not a replacement.

Generative Engine Optimisation (GEO) is the more precise, research-backed term for what many people call AI search optimisation. Our AI search optimisation guide explains what AI search is and why it matters for Irish businesses. This guide goes one step further. It covers the specific mechanics: what the academic research found, which content tactics measurably improve citation rates and by how much, and how to audit whether your business is appearing in AI-generated answers.

Understanding GEO has become commercially important for Irish businesses. A potential client in Co. Meath asking ChatGPT "which electrician near me has the best reviews" receives an answer, not a list of links to browse. Being in that answer is a direct business outcome. Being absent from it is an invisible loss.


What Is Generative Engine Optimisation (GEO)?

Generative Engine Optimisation is the practice of structuring your content and business information so that AI systems which synthesise answers (such as ChatGPT, Perplexity, and Google AI Overviews) cite your business when answering relevant questions. The term was formalised in a peer-reviewed study published at the ACM KDD 2024 conference by researchers from Princeton, IIT Delhi, Georgia Tech, and the Allen Institute for AI.

Before the Princeton study gave it an academically grounded name, practitioners used various terms: AI search optimisation, Answer Engine Optimisation (AEO), and LLM visibility optimisation. These terms are still used and they all describe the same underlying challenge: getting your business cited by systems that generate natural-language answers rather than showing ranked lists of links.

GEO differs from classic SEO in one fundamental way. The goal is not to rank in a list that a user browses and chooses from. The goal is to be cited inside a synthesised answer that a user reads and acts on directly. This changes both the optimisation strategy and the way you measure success.


How Is GEO Different from Traditional SEO?

Traditional SEO places your website in a ranked list of links. GEO optimises for being cited inside an AI-generated answer. According to BrightEdge's one-year AI Overviews review, only 17% of sources cited in Google AI Overviews also rank in the organic top 10. Strong Google rankings do not automatically produce AI citations, and AI citations do not require a top-10 position.

The 17% overlap figure is the most important data point for Irish business owners to understand. It means two things. First, businesses outside the organic top 10 for a query can still be cited in AI answers if their content is structured correctly. Second, businesses that have invested in SEO should not assume they are already GEO-optimised. The signals overlap, but they are not identical.

Google AI Overviews launched in Ireland on 26 March 2025. By early 2026, according to BrightEdge data, AI Overviews appear on approximately 48% of all tracked search queries globally, up 58% from the same period the previous year. Average AIO height on a standard screen now exceeds 1,200 pixels, meaning the first organic search result often sits below the fold when an AIO is present.

For Irish service businesses, this represents both a risk and an opportunity. Businesses not structured for AI citation are losing visibility on roughly half of all queries. Businesses that are structured correctly can appear in those results regardless of their organic position.


What Does the Princeton Research Actually Show?

A study published at ACM KDD 2024 by researchers from Princeton, IIT Delhi, Georgia Tech, and the Allen Institute for AI tested nine content optimisation tactics across 10,000 queries. Statistics Addition improved AI visibility by 41%. Adding source citations improved visibility by up to 115% for lower-ranked pages. Quotation Addition improved visibility by 28%. These are the only large-scale, peer-reviewed results on what specifically moves the needle for AI citation.

This was the first systematic academic study of content optimisation for AI citation. The researchers designed a test environment to mimic Bing Chat's generative response behaviour and tested how specific changes to page content affected whether a source was cited in generated answers. The methodology is publicly documented in the full paper.

The nine tactics and which ones worked

The nine tactics tested were: statistics addition, inline citations and source links, quotation addition, fluency optimisation, authoritative tone, persuasive language, simplified formatting, technical depth, and keyword placement. Not all tactics produced the same results.

The three highest-impact tactics were statistics, citations, and quotations. Together, these represent a clear direction: content that grounds claims in verifiable, externally sourced evidence is significantly more likely to be cited by AI systems than content that asserts the same points without evidence.

The practical implication is specific. A page that states "emergency plumbers in Dublin typically respond within two to four hours" and links to a source is more likely to be cited than a page that says "we offer fast response times." This is not about writing for algorithms. It is about writing with the clarity and evidence that a trustworthy answer requires.


The Five GEO Tactics That Work for Irish Businesses

These tactics come directly from the research findings and from observing what is working in practice across AI platforms. They can be applied during a new website build or during a content audit of an existing site.

1. Add statistics with source links

Any page that can include a verifiable statistic should include one, with a link to its source. The Princeton research found this improved AI visibility by 41%. For a plumber's website, this might mean referencing SEAI data on heating efficiency or published call-out rate ranges from a trade body. For an accountant, it might mean citing Revenue.ie figures on a relevant filing threshold. The source does not need to be obscure: well-known, authoritative sources produce the strongest signals.

2. Include inline source citations

Linking to third-party sources within your page content tells AI systems your information is grounded in verifiable data rather than opinion. This was the single most impactful tactic for lower-ranked pages in the Princeton study, improving visibility by up to 115%. An accountancy service page that links to Revenue.ie guidance on a relevant tax matter is more citeable by AI than one that explains the same topic without attribution. A dental FAQ that cites the HSE's dental health guidance carries more citation weight than one that does not.

3. Add quotations from recognised sources

Quoting a named expert, a government body, or a recognised industry association (with attribution) improved citation rates by 28% in the research. An FAQ from a solicitor's practice that quotes Irish legal precedent or quotes from the Law Society of Ireland has a stronger basis for AI citation than equivalent content without such grounding. The key is attribution: who said it, and can it be verified.

4. Write in a direct, answer-first format

The research called this "fluency optimisation," but the principle is simple. Lead with the answer, not with the preamble. If someone asks an AI "how long does planning permission take in Ireland?", the page most likely to be cited begins with a direct answer rather than a paragraph of context-setting. Review your core service pages and ask whether a reader (or an AI) can extract the answer to your most common customer questions within the first two sentences of each section.

5. Write with specificity and confidence

Pages that state facts with confidence, avoid excessive hedging, and demonstrate specific knowledge of the topic and location outperformed vaguer pages in the citation tests. For an Irish service business, this means writing specific content about your actual service area, your actual pricing range, and your actual process. Generic content that could apply to any business anywhere in Ireland or the UK produces weaker citation signals than content that is clearly and specifically about your business.


Structured Data: Your Most Controllable GEO Signal

Structured data (schema markup) is code added to your website that tells AI systems explicitly what your business is, where it operates, and what it does. For Irish service businesses, the most valuable schema types are LocalBusiness (or a more specific subtype such as Plumber or AccountingService), FAQPage, and Service. These schemas allow AI systems to cite your business with accuracy and confidence rather than having to infer details from unstructured page text.

Schema markup is one of the few GEO signals you can implement completely and precisely, without relying on third-party reviews or mentions. It is code added to your website that structures information for machine reading alongside the human-readable content.

For a plumber in Navan, the LocalBusiness schema declares: this is a business of type Plumber, operating under name X, at address Y, serving Co. Meath, reachable at phone number Z. An AI assistant asked to recommend a plumber in Navan has structured, unambiguous data to work from. Without it, the AI has to infer these details from page text, which is slower and less reliable.

FAQPage schema is particularly valuable for AI citation. It marks up question-and-answer content in a format AI systems are specifically designed to extract and reference. A service page with well-written FAQs marked up correctly is far more likely to appear in AI answers to relevant questions than a page with the same content but no schema.

One important practical note: if your website was built on a DIY platform like Wix or Squarespace, implementing custom schema markup is very difficult or impossible on those platforms. This is one of the more consequential structural disadvantages of DIY website builders for businesses that care about long-term AI and search visibility.


Entity SEO for Irish Businesses

Entity SEO means ensuring AI systems can reliably identify your business as a distinct, trusted entity with a consistent name, address, phone number, and category across every platform where your business appears online. For Irish businesses, the critical platforms are your website, your Google Business Profile, and any relevant trade or local directories. Inconsistencies across these platforms reduce AI confidence in your business information and reduce the likelihood of a citation.

AI systems build confidence in a business entity by seeing consistent information across multiple independent sources. If your business name, address, and phone number appear identically on your website, your Google Business Profile, Golden Pages, and any relevant industry directory, AI systems treat that information as verified. Any inconsistencies, including different phone number formats, outdated addresses, or variations in how your business name is written, reduce that confidence.

For Irish service businesses in areas like Co. Meath, Dublin, or other county markets, local directory presence matters. Relevant Irish directories include Golden Pages, Yelp Ireland, Hotfrog Ireland, and any trade-specific listings relevant to your sector. The key is not the number of listings: it is the consistency of the information across all of them.

Your Google Business Profile is the single highest-authority entity signal available to most Irish small businesses. A fully complete GBP (with business category, service areas, opening hours, services list, photos, and accurate description) is a foundational GEO asset. AI systems draw heavily on GBP data when generating local business recommendations. Every System Setter build includes a Google Business Profile setup guide specifically to help clients get this right from the start.


How to Audit Your GEO Visibility

GEO visibility is audited manually. There is no automated rank-tracking tool equivalent to a Google position tracker for AI citations. You test what AI assistants say about your service and location, compare the businesses they cite against your own website, and identify the structural differences. The process takes 20 to 30 minutes and produces a clear, actionable list of gaps.

Here is a straightforward process for auditing your own GEO visibility:

  1. Open ChatGPT (with web search enabled), Perplexity, and perform a Google search that triggers an AI Overview. Run all three simultaneously for the same queries.
  2. Ask queries that reflect real customer intent: "best [your service] in [your county]", "recommend a reliable [your service] near [your town]", "who should I use for [your service] in [your area]".
  3. Note which businesses appear in AI-generated answers and which are absent.
  4. Visit the websites of cited businesses. Look specifically for: FAQPage schema (test any page with Google's Rich Results Test), FAQ sections with direct answers, statistics linked to verifiable sources, a clear LocalBusiness schema, and specific service area content for your county or region.
  5. Compare those signals against your own website and identify what the cited businesses have that you do not.
  6. Prioritise the gaps by research impact: source citations and statistics first, then structured data, then content format and specificity.

This process is not complicated and it gives you a direct competitive map. You are not guessing at what works: you are looking at the actual websites that AI systems are already choosing to cite and using them as a benchmark.


Does llms.txt Actually Help?

llms.txt is a proposed web standard, similar in concept to robots.txt, that tells AI systems which content on your site is most relevant and how to describe your business. As of mid-2026, the major AI platform providers (OpenAI, Google, and Anthropic) have not implemented native support for it, and current evidence of its direct impact on citation rates is limited. It is worth implementing, but it should not be prioritised over the higher-impact tactics above.

The llms.txt standard was proposed by Jeremy Howard of Answer.AI in 2024. The concept is practical: a plain-text file at your website root that tells AI systems which pages are most important, what your business does, and what content to prioritise when generating answers about your site.

Adoption across the web remains very limited. As of mid-2025, fewer than 1,000 domains had published an llms.txt file, and independent audits found that none of the three major AI platform providers had implemented consistent native support for reading it. The systemsetter.com website already has an llms.txt file in place, as do a small number of other Irish and international sites that have adopted it early.

The honest current position is this: implement it if you can, because it takes minutes for a developer to add and signals technical transparency to AI systems that do read it. But do not let it substitute for structured data, source-linked statistics, and answer-first content, all of which have substantially stronger evidence behind them right now.

Every website built by System Setter includes the core GEO foundations described in this guide: FAQPage and LocalBusiness schema markup, FAQ sections with direct answers, and content structured for AI citation. This is included in every build at the standard EUR 500 price. If you have an existing website that lacks these foundations, get in touch and we can talk through what a targeted content and schema audit would involve for your specific business.


Frequently Asked Questions

What is the difference between GEO, AEO, and AI search optimisation?

The terms overlap but describe slightly different emphases. Generative Engine Optimisation (GEO) focuses on content structuring for AI systems that generate synthesised answers from multiple sources. Answer Engine Optimisation (AEO) focuses on being the direct answer to a specific question. AI search optimisation is the broader umbrella term covering both. In practice, the underlying tactics are the same and you do not need to choose one label over another. The Princeton KDD 2024 research formalised the term GEO, which is increasingly the industry standard.

Does GEO replace SEO for Irish businesses?

No. GEO builds on SEO foundations rather than replacing them. A page that ranks well on Google is generally more likely to be cited by AI systems than a page with no organic visibility. The tactics that improve your Google ranking, such as clear content structure, structured data, and mobile performance, also improve your chances of appearing in AI answers. Think of GEO as an additional layer on top of good SEO, not an alternative to it.

How do I check if my Irish business is being cited by ChatGPT or Perplexity?

There is no automated rank-tracking tool for AI citations equivalent to a Google position tracker. You can test it manually by asking ChatGPT (with web search enabled), Perplexity, and Google AI Overviews questions like "Who is the best [your service] in [your area]?" or "Recommend a [your service] in [your county]." Note which businesses appear in the answers and compare their websites to yours using the GEO signals described in this guide.

Is GEO included in the System Setter website build?

Yes. Every System Setter website includes the core GEO foundations as standard: FAQPage schema markup, LocalBusiness schema, structured service information, and content formatted for direct AI citation. The Google Business Profile setup guide provided with every build also covers the entity consistency signals that matter for AI recommendation. This is not an add-on: it is part of every build at the standard EUR 500 price.

Should I implement llms.txt on my website?

The current evidence suggests llms.txt has limited direct impact on AI citation rates, as the major AI platforms have not yet implemented native support for the file. However, it is a lightweight addition that takes minutes to implement and signals technical transparency. If you have an existing website, implementing llms.txt is worth doing but should not be prioritised over the higher-impact tactics in this guide: structured data, statistics with source links, and direct answer-first content formatting.

Which AI platforms matter most for an Irish service business?

Google AI Overviews is the highest priority for most Irish service businesses, as it operates within Google search where most Irish potential customers still start. It launched in Ireland on 26 March 2025 and now appears on nearly half of all tracked search queries. Perplexity AI is important for research-style queries. ChatGPT with web search is growing rapidly in use. All three draw on similar signals: schema markup, clear content structure, and entity consistency across the web.

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