This involves optimising websites and content so they are more likely to be selected, referenced, and cited by generative search engines and AI tools such as ChatGPT, Google’s AI search, and other large language models when they generate answers and recommendations.
Built on practical experience delivering work that has been referenced in AI-generated search results.
When AI tools like ChatGPT generate answers, they don’t list every website. They select a small number of sources they trust and reference those directly in their responses. Being cited in AI search typically involves:
Appearing as a cited source increases visibility beyond traditional search results
AI-generated answers are increasingly replacing clicks for informational queries
Being selected depends on clarity, authority, and structure — not just rankings
This type of visibility is especially valuable for businesses that want to be recognised as a trusted source when people are searching for answers, comparisons, or recommendations. It is particularly effective for service-based and local businesses, where AI tools are often summarising providers, explaining options, or suggesting solutions rather than sending users through multiple websites. Being referenced in these responses can influence awareness and decision-making even when no traditional click takes place.
This is the visibility model Cited Search is built around.
Traditional search engine optimisation is designed to improve rankings in lists of search results. Generative search optimisation focuses on something different: helping content be selected, interpreted, and cited when AI systems generate answers directly.
This distinction matters because generative search does not work by ranking pages in the same way as traditional search engines.
Competes for positions in ranked results
Visibility depends on where a page appears
Users choose which result to click
Competes for selection as a source
Visibility depends on being referenced
Answers are generated directly
Traditional SEO competes for rankings; generative search optimisation competes for source selection
Traditional SEO prioritises pages; generative search prioritises information and entities
Traditional SEO relies heavily on links; generative search relies on clarity, structure, and attribution
Traditional SEO aims to drive clicks; generative search often answers queries without requiring clicks
Strong traditional SEO can support generative search visibility, but it does not guarantee citation. Content that ranks well may still be ignored by AI systems if it is difficult to interpret, poorly structured, or lacks clear attribution.
Generative search optimisation addresses how AI systems process, understand, and reference information — not just how pages perform in rankings.
For brands relying solely on traditional SEO, this shift means visibility can decline even while rankings remain stable. Optimising for generative search helps ensure content remains relevant as search behaviour continues to change.
AI-powered search features now appear in over 50% of search queries in major search engines, reducing reliance on traditional organic listings.
Studies show that more than 60% of searches now result in zero clicks, as users receive answers directly within search interfaces or AI-generated summaries.
User search queries have increased in length by over 25% in the last five years, reflecting a shift towards conversational and question-based search that favours generative systems.
Content that directly answers questions is up to 2x more likely to be surfaced in AI-generated responses than content written primarily for keyword rankings.
More than 70% of users trust AI-generated summaries for informational searches, even when they do not click through to a source website.
Search engines now display fewer than 10 traditional organic results on many AI-enhanced results pages, increasing competition for visibility.
Brands referenced within AI-generated answers experience measurable recall uplift, even when users do not visit the website.
If you’re relying on traditional SEO alone, it’s not always clear how your content is interpreted or selected by generative search engines. A focused review from Cited Search can help clarify whether there is a realistic opportunity for AI citation visibility.
When generative search engines and AI tools produce answers, they often reference a small number of sources to support the information they provide. These citations may appear as linked sources, named references, or contextual attributions within the response itself.
The exact format varies by platform, query type, and interface, but the underlying mechanism is the same: only a limited set of sources are selected to inform the generated answer.
For brands, this means visibility is no longer limited to ranking positions. Being cited places your content directly inside AI-generated responses, where users are increasingly finding answers without visiting traditional search results.
AI-generated answers in tools such as ChatGPT and other AI assistants
Google’s AI-powered search results and overviews
Answer summaries embedded within search and discovery experiences
Contextual references used to support factual or explanatory responses
Citation visibility is typically subtle rather than promotional. Sources are selected to support accuracy and clarity, not to advertise brands. As a result, being cited reflects how well content aligns with the way AI systems interpret and trust information.
This is where structure, attribution, and clarity play a critical role in whether a source is selected.
As AI-generated answers increasingly replace traditional search clicks for informational queries, being cited becomes a primary way for brands to remain visible during early research, discovery, and decision-making moments.
Rather than competing for attention after a click, citation visibility places brands inside the answer itself.
Our approach focuses on how generative search engines interpret, evaluate, and attribute information when producing answers. Rather than optimising for rankings alone, we prioritise the factors that influence whether a source is selected and cited.
Content must be easy for AI systems to interpret before it can be selected. We focus on structure, context, and language that clearly communicates meaning, intent, and relevance.
Generative search systems rely on entities and relationships, not just keywords. We optimise how brands, topics, and concepts are connected and attributed across content.
Being cited is about eligibility, not volume. We prioritise improving how content qualifies for selection rather than producing or modifying content at scale.
Different AI systems surface sources in different ways. Our approach accounts for how platforms such as ChatGPT and Google’s AI search select and reference information.
If you want to understand how AI systems currently interpret and reference your website, Cited Search starts with a review of how your content is being understood and surfaced in AI-generated answers.
We work with local service businesses and brands at different stages of readiness for generative search. Engagements are scoped based on existing visibility, content complexity, and how AI search currently interprets your site.
Each engagement is designed to improve eligibility for citation rather than maximise volume or activity.
Designed for brands looking to improve citation eligibility for a specific page, topic, or high-value query. This engagement focuses on refining structure, clarity, and attribution so individual pages are more likely to be selected and cited by AI systems.
Best suited for:
Key landing pages
High-intent informational content
Testing generative search optimisation on a single asset
Not Intended for:
Full site overhauls
Broad keyword coverage
Content production at scale
A broader engagement focused on improving how AI systems interpret and evaluate an entire site. This includes aligning content structure, entities, and attribution signals across multiple pages to support consistent citation eligibility.
Best suited for:
Established websites with depth
Brands publishing authoritative content
Organisations seeking sustained visibility in AI search
Not Intended for:
Short-term ranking boosts
One-off content edits
High-volume link strategies
Continued involvement following a page-level or site-wide optimisation. This focuses on reviewing how generative search platforms respond to changes, interpreting emerging citation behaviour, and making targeted adjustments where required.
Best suited for:
Brands monitoring citation visibility after implementation
Sites in competitive or fast-moving topics
Teams needing periodic refinement
Not Intended for:
Training or enablement
DIY implementation support
Standalone advisory engagements
If you’re unsure which engagement is the best fit, we’ll help you assess where generative search optimisation will have the most impact. Initial conversations are focused on understanding your site, goals, and current visibility before recommending a suitable approach.
We review your website to determine whether generative search optimisation is a realistic and appropriate opportunity. This assessment focuses on content clarity, subject relevance, structure, and whether the site is suitable for citation by AI-driven search systems.
Where an opportunity exists, we produce a clear report outlining recommended changes, priorities, and rationale. This defines what would take place, why it matters, and what level of improvement is realistic before any implementation begins.
If you choose to proceed, we implement the recommendations set out in the report. This may include structural adjustments, content refinement, and other targeted changes designed to improve how your site is interpreted and referenced by generative search tools.
Cited Search is led by extensive experience in search, content, and web optimisation across multiple generations of search technology. Work spans traditional search engines, structured content systems, and the emerging mechanics of generative search and AI-driven discovery.
The focus is not on volume or experimentation, but on applying proven principles to how AI systems interpret, evaluate, and cite information.
Jamie offers game changing SEO on a whole new level ! It’s rare but we have seen upturns in days and would highly recommend his services.
Van Guardian
Jamie did a fantastic job delivering first class website on-page seo/AI. He is very skilful and talented with websites and seo/ai and he has a natural understanding of how to convey my business message and making that clear to clients visiting my website. Highly recommend this as an absolute must have.
Hush Tell Us
Second time we have used Jamie and yet again he has delivered above and beyond what we expected. Will definitely use again for future gigs.
Fortify Construction
ChatGPT is used by over 500 million people worldwide, making it the most widely adopted generative AI interface.
AI-driven search results like those you see first on Google are linked to 15–30% reductions in organic website clicks as answers are delivered directly.
AI-generated answers typically feature only a small number of websites, meaning most businesses are not shown at all.
Observations and analysis on how generative search, AI citations, and source selection are evolving. Written to clarify how AI systems interpret and surface information, rather than to chase traffic or trends.
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Generative Engine Optimisation focuses on making website content discoverable, understandable, and referenceable by AI-driven search tools such as ChatGPT, Gemini, and Google’s AI-generated results. It is about being included in answers and summaries, not just ranking in traditional search results.
No. Traditional SEO remains important for discoverability and authority. Generative search optimisation builds on this foundation by addressing how AI systems interpret, evaluate, and cite information. It focuses on how content is selected and referenced when AI systems generate answers, rather than how pages rank in traditional results.
Traditional SEO is designed to improve rankings and clicks. GEO focuses on clarity, structure, and topical relevance so AI systems can confidently summarise and reference content. A page can rank well and still not appear in AI-generated answers.
Yes. SEO and GEO work together. SEO provides authority and crawlability, while GEO ensures content is usable and extractable by generative systems.
Generative search optimisation is most effective for websites that publish informational, authoritative, or explanatory content. It is less effective for sites without clear subject focus or depth.
Content that clearly answers questions, explains topics in plain language, and demonstrates genuine expertise performs best. AI systems tend to avoid vague, heavily promotional, or thin content.
Most websites are not currently included in AI-generated answers. Generative systems usually reference a small number of sources based on clarity, authority, and relevance. Content that lacks structure or clear context is often ignored.
Being cited means your website is used as a source within an AI-generated answer. This can include brand mentions, summaries, or links and provides visibility and credibility even when users do not click through.
It can. When content is selected and cited by generative search engines, it can result in referral traffic, increased brand discovery, and follow-on searches. While not all AI answers lead to clicks, visibility as a source builds long-term authority.
AI-powered search results often reduce clicks because users receive answers directly. This makes inclusion within AI responses increasingly important alongside traditional rankings.
Yes. GEO is designed for environments where users may not visit a website at all. It focuses on visibility and attribution within AI-generated answers rather than relying solely on clicks.
No. Smaller and niche websites, including local service-based businesses, often perform strongly in generative search when they clearly explain what they do, who they serve, and where they operate. Authority and clarity matter more than brand size.
There is no fixed timeline. Results typically build gradually as content is refined, structured, and recognised by AI systems. Improvements often compound over time.
Generative search optimisation starts with a strong foundational setup. Once content is properly structured and clarified for AI systems, it does not require constant changes. Updates are typically only needed when services, content, or search behaviour meaningfully change.
If you’re exploring generative search optimisation and want to understand how citation visibility applies to your site, we’re happy to have a conversation. Initial discussions focus on context, goals, and whether there’s a clear opportunity to improve eligibility for AI citations.