TL;DR

AI-driven search optimisation (sometimes called Generative Engine Optimisation or GEO) is the process of improving how AI-powered discovery platforms understand, retrieve, and recommend your brand. Although many of the foundations overlap with traditional SEO, success in platforms such as ChatGPT, Gemini, Perplexity and AI Overviews (and more every day) increasingly depends on clear entity relationships, authoritative content, strong external validation, and machine-readable information.

Our AI-driven search visibility service helps businesses like yours to strengthen their presence across both traditional search engines and emerging AI discovery platforms. We combine technical SEO, structured data, entity development, content, and authority building to improve the chances that your site will be one of those cited, referenced, and recommended when AI systems generate answers for your customers.

Pain points

For the majority of businesses, SEO foundations are a ‘first-things-first’ approach – for both traditional SEO and improving visibility in LLM or ‘AI’ discovery platforms. However, once your foundations are secure, there are things you can do specifically target LLM search platforms that will also improve your SEO visibility. 

If you’ve been working hard on your SEO performance, but are now experiencing any of the following, you may be losing ground in the generative era, and need MMC Digital’s AI-driven search visibility service:

• The shortlist gap: your competitors are appearing in ChatGPT or Perplexity vendor recommendations, while your brand isn’t making the list.
• Zero-click erosion of traffic: your organic traffic is dropping because Google’s AI Overviews and other LLMs are answering user queries directly on the SERP, or before they even search.
• Factual drift: AI models are summarising your business in a way you don’t recognise, or are using outdated information from third-party sources.
• Invisible expertise: your high-value, human-led insights are being ignored by AI crawlers and search platforms.
• Unconnected data: Your site has basic schema, but it isn’t connected to the global knowledge graph, leaving LLMs less able to verify your brand’s entities.

Who benefits most from our GEO service?

• B2B companies with long, research-driven sales cycles
• Specialised or regulated industries (e.g., manufacturing, professional services) where accuracy is critical
• Brands already investing in content, PR, or thought leadership
• Individuals or organisations keen to be recognised as authoritative voices

What we mean by AI search visibility

There isn’t as much of a difference between traditional search and the techniques required to improve your performance in LLM or generative search. However, what you’re attempting to do is to build and optimise your content to be discovered, selected, and synthesised by AI-powered search platforms. While Google has not been primarily keyword driven for a while, AI search takes the changes introduced by BERT and Rank Brain over the last ten years and increases the need to build for complex information retrieval processes, precision and semantic relevance.

To be cited, it’s necessary to understand that AI models are probabilistic engines of “meta-language”; they perform syntactic transformations, but have no access to the object language of experience. To win in AI search, therefore, your content needs to incorporate experiential linguistic markers (proof of active testing, real-world friction, expertise and ‘earned secrets’ that machines can’t synthesise). GEO, if there is such a thing, is the process of making your human authority machine-readable.

MMC Digital’s AI search visibility service

Our search everywhere, AI powered search service – like all of our services – are planned and executed by senior-level experts that bring decades of experience and data-driven methodologies to every project which helps unify technical SEO hygiene with advanced semantic grounding.

• Comprehensive GEO footprint audit: we establish a baseline Share of Model (SoM) to see what LLMs currently “know” about you and your brand compared to competitors and your sector as a whole.
• Content engineering for AI recognition: we help to restructure your assets and site to emphasise and properly convey authority – including content with novel information, academic citations, precise statistics, and expert quotations – all of which show indications of boosting LLM visibility.
• Advanced schema and entity building: we move beyond flat, self-contained schema to build interconnected JSON-LD graphs using @id and sameAs properties to anchor your brand within the global knowledge graph.
• Earned media and external influence mapping: LLMs show an overwhelming bias toward independent, third-party verification, so we look to identify the specific directories, publications, and niche communities you need to be cited in to succeed.

Our GEO Approach

We provide a structured, data-driven methodology that ensures your brand is optimised not just for traditional search engines, but also for AI-powered ones.

1. Comprehensive GEO audit

We start by evaluating your current position within generative engines:

• How often your brand is mentioned or cited
• What AI tools currently “know” about your business
• How your content is interpreted and summarised
• Which external sources influence your representation
• Gaps in your digital footprint that limit AI visibility

2. Understanding external iInfluences

Generative tools rely on a broad network of sources. We identify:

• Third-party websites driving authority in your niche
• Publications and industry resources LLMs regularly draw from
• The content formats and structures most likely to be used by AI
• Missing citations or unstructured information that AI can’t easily read

3. Content re-engineering for AI recognition

We enhance both new and existing content to make it:

• Easier for AI to interpret
• Clearly connected to your brand, expertise, and entities
• Highly structured with FAQs, schema markup, and semantic clarity
• Consistent with authoritative third-party sources
• Optimised for accuracy, context, and depth

4. Off-site authority development

AI tools are heavily influenced by:

• Credible citations
• Media mentions
• Industry directory data
• Niche communities and specialist sources

5. Ongoing monitoring & AI output analysis

Visibility within generative engines changes as models evolve. We continuously track:

• How often AI tools mention your brand
• Whether your competitors appear more frequently
• Shifts in the sources LLMs favour
• Opportunities to reinforce or expand your presence

What can our AI search visibility service do for your business?

A successful search strategy focusing on AI search helps to make sure your brand remains relevant as search shifts and adapts to LLM technologies. Not only does this help in the short term rush for AI search mentions, it will also help to futureproof your site for a future in which information retrieval methods become increasingly opaque and machine driven:

• AI-mediated consideration: make sure your brand is in the conversation when brands are pre-selected by AI assistants (before a user even starts to compare options).
• Increase trust through verification: by working to align your on-site data with authoritative, third-party sources, you begin to build credibility that helps LLMs to “feel safe” to recommend your business.
• Capture high-conversion traffic: current research indicates that visitors from AI search may convert at higher rates than traditional organic search.
• Future-proof against zero-click future: as more journeys end without a click, being the cited source within AI answers can be a method of brand building.