Speaking the right language.
HOW DOES AI SEO WORK.
AI search engines and large language models (LLMs) do not “visit” your website in the same way a human does. Instead, they aggregate, cross-reference, and validate information from multiple trusted sources across the internet, including:
- Your website and service pages
- Business directories and profiles
- Industry associations
- News articles and press releases
- Reviews, citations, and third-party mentions
When this information is consistent, AI systems can confidently generate accurate answers. When it is fragmented, outdated, or contradictory, accuracy declines, or worse, your business is excluded entirely.. which is where AI SEO comes in.






Accuracy is the key.
FEEDING AI THE RIGHT INFORMATION.
A straightforward query like “Who are FSE Digital?” seems simple, but for AI platforms it requires corroboration. The model must confirm:
- Your business name and brand identity
- What services you provide
- Where you operate
- Your history, credibility, and positioning
If these details vary across the web, AI systems may produce incomplete, incorrect, or vague responses. Consistency ensures that your business is clearly understood, categorised correctly, and confidently referenced.
Our tried and trusted strategies ensure that your brand’s details are consistent across the web.
Tackling AI, one stage at a time.
AI STAGE BY STAGE.
Our AI SEO offering is delivered through a structured, stage-by-stage framework designed to ensure accuracy, visibility, and authority in AI-driven search. Each stage builds on the last. We begin by establishing consistent and verifiable business information, then align your content with how AI and large language models actually search and interpret intent, and finally reinforce authority across the sources AI trusts most.
AI systems must first be able to confirm who you are and what you do. This stage removes ambiguity and creates a consistent set of facts that AI platforms can trust.
Citation Clean-Up
We audit and correct your business information across directories, platforms, and third-party sites so AI systems see one consistent version of your brand.
Core Business Definition
We standardise how your services, locations, and positioning are described to prevent conflicting interpretations by AI models.
Baseline Technical Review
We identify technical issues that could prevent AI tools from accurately accessing, extracting, or validating your website content.
Once your business data is consistent, we focus on how AI looks for and selects information when responding to real user questions.
Keyword & Prompt Research
We research the questions, prompts, and conversational queries AI tools use when referencing businesses in your sector.
Intent Mapping
We group prompts by informational, commercial, and validation intent so content is created with a clear AI search purpose.
Content Calendar Planning
We define what content needs to be created or refined, when it should be published, and how it supports AI-driven visibility.
AI platforms prioritise businesses that are technically sound and widely referenced across trusted sources. This stage strengthens those authority signals.
Citation Strategy & Outreach
We identify high-value sources AI models rely on and secure accurate, authoritative mentions of your business.
Technical SEO Implementation
We improve site structure, schema, internal linking, and crawlability to support stronger entity recognition by AI systems.
Content Optimisation for AI Retrieval
We refine priority pages so AI tools can easily extract, understand, and reference your information in generated answers.




The only team you need.
MEET THE SEO TEAM.

DANNY HALL
Director

SAM MEAD
Head of SEO

JAMIE GEMMELL
Client Success Manager

REBECCA PLUMMER
SEO Account Manager

KATY SANSOM
SEO Account Manager

GRACE MALLINDER
SEO Account Manager
Helping you gain more knowledge.
FREQUETLY ASKED QUESTIONS.
AI SEO focuses on making your business easily understood and cited by AI systems. Unlike traditional SEO, which prioritises keywords and backlinks, AI SEO ensures that large language models and AI search platforms can accurately interpret your content, services, and business identity. It’s about clarity, consistency, and trust, so AI confidently represents your brand.
AI doesn’t just visit your website, it cross-checks information from multiple sources. If your business name, services, or locations vary across the web, AI can get confused and deliver incomplete or incorrect answers. By keeping your information consistent everywhere, we make sure AI always knows exactly who you are and what you do.
Traditional keywords are just one part of the picture. AI SEO focuses on understanding prompts, conversational queries, and user intent. By researching how people ask questions to AI, we can create content that is more likely to be surfaced in AI-generated answers. There are many studies supporting higher conversion rates of users that come from AI search, see here from AHRefs.
Absolutely. Clear, structured Q&A sections provide ready-to-use answers that AI systems can lift directly. Well-crafted FAQs not only help AI understand your business, but also improve trust and engagement with your human audience.
Definitely. Structured data acts like a signpost for AI systems, highlighting the key facts about your business, your content, and your answers. Proper implementation increases the likelihood that AI and search platforms reference your business accurately.
Yes. AI-friendly content should be concise, structured, and contextually clear, making it easy for AI to extract factual answers. It’s about delivering information in a way AI can reliably interpret, while still being valuable to human readers.