Generative engine optimisation (GEO) for brand visibility in ChatGPT, Google AI Overviews, and Perplexity. AI citation audits, entity optimisation, and llms.txt setup.
Our Generative Engine Optimisation (GEO) service is a complete system — strategy, execution, and reporting all in one place.
We analyse how your brand appears (or doesn't) in ChatGPT, Perplexity, and Google AI Overviews.
Structured entity data and knowledge graph signals that help AI models recognise your brand.
Content structured for AI extraction — clear answers, definitions, and citable data points.
We implement and maintain your llms.txt file so AI crawlers index your content correctly.
Technical audit ensuring ChatGPT, Claude, Perplexity, and Google AIO can crawl your site.
Monthly tracking of your brand mentions and citations in AI-generated search results.
Refined across 300+ client engagements. You know what's happening at every step and why.
We test your brand across ChatGPT, Perplexity, Gemini, and Google AI Overviews to baseline where you stand.
Page content restructured for passage-level extraction — direct answers, entity clarity, and citable data.
llms.txt deployed, AI crawler access confirmed, and structured data updated for AI model consumption.
Monthly AI citation tracking with strategy updates as each AI platform's algorithms evolve.
We combine senior specialist expertise with AI tools to surface faster insights and outperform agencies still working manually.
You own every account, asset, and piece of data we create. No black boxes. Full access, always.
Our team holds Google's own certifications and meets ongoing performance benchmarks — not just a badge on a website.
Every strategy decision is tied to traffic, leads, or revenue. We care about what moves your bottom line — not vanity metrics.
One senior point of contact who knows your business inside-out. No account hand-offs, no junior-only teams.
Month-to-month on every service. We earn your business every month through results — not through long-term contracts.
Generative Engine Optimisation — GEO — is the practice of structuring your content and digital presence so that AI-powered search engines and large language models cite, reference, and recommend your business. Where traditional SEO targets the ten blue links in Google’s organic results, GEO targets the AI-generated answers that now sit above those links in Google’s AI Overviews, and the direct responses delivered by ChatGPT, Perplexity, Bing Copilot, and similar tools.
This is not a theoretical future concern. Google’s AI Overviews already appear on a significant proportion of informational and commercial queries in Australia, the UK, and the USA. When a potential customer asks ChatGPT “who are the best digital marketing agencies in Melbourne?” the answer they receive is shaped by how well agencies like yours have been optimised for AI citation. MH Tech Solutions includes GEO in every SEO campaign because ignoring it means ceding visibility in the fastest-growing discovery channel in search history.
Traditional SEO optimises for keyword relevance, backlink authority, and page experience signals that influence how a search algorithm ranks URLs in a list. GEO optimises for trustworthiness, factual precision, entity clarity, and structured answerability — the signals that influence whether an AI model chooses to surface your content as a cited source.
AI models do not rank pages. They synthesise answers from content they have ingested and assessed as authoritative. Being the most relevant page for a keyword is insufficient if your content is not structured in a way that a large language model can extract a clear, citable answer from. GEO bridges that gap.
AI models reason about the world in terms of entities — named people, businesses, places, products, and concepts with defined relationships between them. If your business is not clearly established as an entity in Google’s Knowledge Graph, you are invisible to the systems that power AI Overviews.
We build entity presence through consistent NAP signals, authoritative mentions in third-party publications, structured data markup using Organisation, Person, and LocalBusiness schema, Wikipedia and Wikidata entries where applicable, and Google Business Profile optimisation. A strongly established entity is far more likely to be cited in AI-generated answers.
Schema markup is the most direct way to communicate structured facts to AI systems. We implement schema types that AI models and Google’s systems parse when generating answers: FAQPage schema for question-and-answer content, HowTo schema for process content, Article and NewsArticle schema for editorial content, and Speakable schema for content intended for voice interfaces.
Correct structured data does not guarantee AI citation, but its absence significantly reduces the probability that an AI system will extract and surface your content accurately.
Just as robots.txt guides search engine crawlers, llms.txt is an emerging convention for signalling to large language models which content on your site is intended for AI ingestion, and how it should be interpreted. We implement llms.txt files for clients where applicable, ensuring AI crawlers from Anthropic, OpenAI, Perplexity, and others can efficiently index your most authoritative content.
AI systems extract answers at the passage level, not the page level. A 2,000-word service page that buries the direct answer to a common question in paragraph fourteen is less likely to be cited than a page that answers those questions clearly, concisely, and early. We restructure content for passage-level answerability: direct answers in the opening paragraph, H2 and H3 headings that mirror natural language questions, and dedicated FAQ sections that address every high-probability user query.
Google AI Overviews, ChatGPT, Perplexity, and Bing Copilot each have different citation tendencies and content preferences. Perplexity, for example, heavily weights recently published content and cites sources visibly in its interface — making recency and crawlability critical. ChatGPT’s web browsing mode prioritises content from trusted domains. Google AI Overviews draws heavily from pages that already rank in the top ten organic positions. We tailor GEO strategy to each platform’s known behaviours.
We have observed clients receiving AI-generated referrals from ChatGPT and Perplexity that match or exceed their referral traffic from traditional organic search on certain query types. The brands capturing this traffic are not doing so by accident — they have invested in entity building, structured content, and AI-friendly site architecture ahead of competitors who are still optimising for an earlier era of search.
GEO is not a separate service with a separate invoice. It is woven into our technical SEO, content, and schema work because the fundamentals overlap. Every client who works with MH Tech on an SEO retainer benefits from GEO thinking applied to their crawl architecture, content structure, and entity signals. The future of search is generative. We are building for it now.
Generative Engine Optimisation is part of our comprehensive SEO & Content service — explore the full range of SEO solutions we offer.
Transport 
Transport 
Healthcare Real results from real clients. Here's what businesses say after working with MH Tech Solutions.
Generative engine optimisation (GEO) is the practice of optimising your content and brand signals so that AI-powered search engines, including Google AI Overviews, ChatGPT, Perplexity, and Bing Copilot, surface your brand in their generated responses. As more users get answers directly from AI without clicking traditional search results, GEO determines whether your brand is cited or ignored.
Traditional SEO optimises for ranking in the blue-link search results. GEO optimises for citation and inclusion in AI-generated answers. The two overlap significantly but GEO also requires entity optimisation, passage-level content structuring for AI extraction, and ensuring AI crawlers can access your site correctly.
We increase your brand's AI citation likelihood by publishing authoritative, well-sourced content on your domain, earning editorial mentions from high-authority sites, optimising entity signals across your web presence, and ensuring your content is structured for passage-level extraction rather than just keyword coverage.
AI citation visibility is harder to measure than traditional rankings and changes as models update their training data. Early GEO signals, such as appearing in Google AI Overviews, typically become visible within 60 to 120 days of content and technical optimisation. We track AI citations monthly using manual sampling and available monitoring tools.
llms.txt is an emerging standard that helps AI crawlers understand which pages on your site contain authoritative, citable content. It works similarly to robots.txt but specifically for large language models. We set it up as part of the technical GEO implementation for businesses where AI visibility is a priority.
No sales pitch. No fluff. Just an honest look at your digital presence and a clear plan to grow it — free, with no obligation.
