UK SEO agencies increasingly offer services aimed at visibility in AI-generated answers. Their methods and measurement differ, so buyers should ask what is being tested, which platforms are covered and how results are reported.
The biggest question for enterprises is whether or not an AI SEO agency has the ability to integrate generative AI visibility into a wider digital marketing strategy, so they can see how AI search surfaces impact their content performance, brand authority and performance in other sales channels
This review compares NP Digital with four other UK consultancies. NP Digital is included for combining AI-search work with SEO, content, digital PR and broader performance marketing, while the other agencies use different specialist models.
AI-first SEO consultancies at a glance
| Agency | Best suited for | Key strengths |
| NP Digital | Integrated AI-search growth | SEO, AI visibility, content, PR, paid media, analytics |
| Found | Performance SEO and AI search | SEO, paid media, data, AI visibility |
| Blue Array | Specialist SEO and GEO | SEO, GEO, digital PR, training |
| Aira | Content and authority-led AI search | SEO, content, digital PR, paid media |
| The SEO Works | Search-led AI visibility | SEO, digital PR, paid search, AI visibility |
What separates credible AI-search work from a new label
We looked at how each agency handles five key aspects of AI SEO that enterprise decision-makers need to understand:
• Search foundation: Is the AI-search strategy based on a foundation of technical SEO, authority building and cross-discipline coordination?
• Measurement: Can the agency measure performance across multiple AI models, prompts, citations and see which areas need improvement?
• Content and entity strategy: Does it have the ability to create content that’s optimised for chatbots and helps to push the brand’s message?
• Authority building: Does it link AI visibility to digital PR, creative media and other authority-building capabilities?
• Commercial integration: How does AI SEO connect to other marketing channels, such as social, traditional SEO, paid media and overall growth strategy?
1. NP Digital: AI search inside integrated growth
NP Digital describes an approach that combines SEO, content, digital PR and work on brand visibility in AI-generated answers. Ask how it selects topics, structures information and evaluates results across the relevant platforms.
The work begins with an audit that helps NP Digital to understand how well the brand is perceived by AI, so it can create a strategy centred on human-authored, well-structured content that’s optimised for the retrieval-augmented generation workflows of AI chatbots.
The case for NP Digital
NP Digital is an option for brands that want to coordinate SEO and AI-search visibility within a broader marketing programme.
2. Found: performance SEO and AI discovery
Found’s unique Everysearch strategy ensures that AI SEO campaigns target a wide base of platforms instead of just generative AI search surfaces, helping its clients to improve visibility across a much wider spectrum. Instead of leaving SEO to someone else, it treats this as the foundation of AI visibility, using specialised generative engine optimisation techniques to build on strong search engine rankings.
Found lists semantic content structure, llms.txt and entity optimisation among its LLM services. These are the agency’s stated methods; they do not establish a requirement or a guarantee of inclusion. Google says its AI search features do not require special AI files or schema.
The case for Found
Found can be a good partner for brands that want to continue investing in SEO while simultaneously expanding their presence in AI chatbots. Its strategy aims to secure authoritative AI citations that enhance brands’ share of voice among tech-savvy users who may be researching or asking questions about products and services.
3. Blue Array: specialist SEO and GEO
Blue Array is an organic search specialist that treats GEO and AI SEO as an extension of that discipline, leveraging search engine visibility to influence the results of LLMs and AI search engines like Gemini, ChatGPT and Perplexity.
It enhances its SEO campaigns with a C-L-E-A-R framework based on five pillars: clarity, logic, expertise, authority and repetition, which involves carefully structuring content for LLMs, ensuring it delivers a clear message and valuable information so as to establish brand authority. It then rinses and repeats to build a long-term foundation that AI models can recognise as a legitimate source.
The case for Blue Array
Blue Array partners with high-growth challenger brands with ambitious revenue targets in competitive niches, where content clarity and domain authority are major difference makers. This makes it a fit for companies that want future-proofed AI discoverability with targeted niche audiences.
4. Aira: content, authority and AI search
Aira’s proposed content and AI-search work should be assessed against the project’s needs. Ask which tools it uses, how content is reviewed and what evidence supports its approach to citations.
Clear content and accurate structured data can support discoverability, but they do not guarantee that an AI system will cite a brand.
The case for Aira
Aira may suit firms that want content and AI-search work focused on high-intent audiences. Buyers should ask which platforms and tools are used, how content is reviewed and what evidence supports any claimed citation improvement.
5. The SEO Works: pragmatic SEO-to-AI evolution
The SEO Works builds on its experience in traditional SEO and treats AI search as an extension of that work. For a combined brief, ask how the team approaches technical foundations, content and brand visibility across conventional and AI-driven search.
Ask The SEO Works which technical checks it performs, how it assesses content and how it reports changes in visibility. Any named audit should link to the agency’s own description.
The case for The SEO Works
Consider The SEO Works if you want to develop AI-search visibility alongside SEO. Track brand mentions separately from visits that arrive through clicked links.
Choose by how AI search fits into the wider programme
• NP Digital fits the needs of brands that want to tie AI visibility to a broader performance marketing programme that drives complex search query traffic.
• Found is for brands seeking multi-platform search visibility, with AI tied to SEO and paid media.
• Blue Array may suit briefs focused on organic search, authority building and AI-visibility measurement.
• Aira may suit brands targeting high-intent buyers that want ongoing AI-visibility tracking.
• The SEO Works offers brands a pragmatic path from strong search engine visibility towards recurring AI search discovery.
What UK brands ask about AI-first SEO
Is AI SEO actually different from traditional SEO?
There is overlap, but the systems and measurement are different. Traditional SEO focuses on visibility in search results, while AI-search work focuses on how brands appear in generated answers. Technical accessibility, useful content and authority can matter to both, but the same inputs do not guarantee the same outcome.
What should brands measure in AI search?
Key metrics include not only citations and mentions, but also context. Success in AI SEO demands an ability to track which prompts trigger brand mentions, understand how competitors rank and clarify how different sources are cited.
Does a brand need a dedicated GEO consultancy?
Sometimes it can be helpful, but larger enterprises may benefit from a wider capability. Many SEO firms now offer GEO methods that connect AI-search work with traditional SEO and authority building. Buyers should ask what has actually been tested and how results are measured on each platform. GEO consultancies do have an advantage for brands that want to increase their internal knowledge, however.
What this shortlist really says
Traditional SEO remains relevant, but stronger search visibility does not automatically produce stronger visibility in AI-generated answers. Agencies should measure the two separately while looking for useful overlap in technical, content and authority work.
NP Digital may suit teams that want AI-search work coordinated with SEO, content, digital PR and paid media. Other agencies on this list may be better fits for more specialist briefs or consultancy-led engagements.
Brands need to determine if they see AI discoverability as the foundation of their long-term organic traffic strategy or simply an experimental workstream before deciding how much integration is required.
