![]()
During my Friday at BrightonSEO Spring 2026, I tried to avoid most conversations around AI. That turned out to be almost impossible.
Even the technical SEO sessions in the morning eventually circled back to how search is changing under AI-driven discovery. Still, the day started with something refreshingly practical: migrations. There were several strong talks focused on large-scale website migrations, the technical mistakes that continue to damage organic visibility, and what SEOs can do to minimise risk when development teams move too quickly or overlook search considerations.
It was a useful reminder that, despite all the discussion around AI search and answer engines, the fundamentals still matter. Poor migrations continue to break sites in exactly the same ways they always have — rendering issues, internal linking problems, redirect chains, inconsistent canonicals and loss of historical signals. The difference now is that search ecosystems are becoming less forgiving when those technical foundations are weak.
What stood out across the day was that SEO is not being replaced. It is expanding.
AI Here, AI There, AI Everywhere.
The main stage talks heavily focused on AI, answer engines, and brand authority. Unsurprisingly, most SEOs seem to be reaching similar conclusions about where the industry is heading.
Good AEO (Answer Engine Optimisation) is still fundamentally good SEO.
The core principles remain the same:
- Clear information architecture
- Strong technical foundations
- Topical authority
- Trustworthy content
- Consistent entity signals
- Genuine expertise
What is changing is how search systems retrieve and surface information.
Several talks discussed how LLMs (Large Language Models) evaluate sources and generate responses. Instead of relying purely on traditional keyword matching, AI systems increasingly use semantic retrieval methods to understand intent and relationships between concepts.
Semantic search allows AI systems to interpret meaning rather than exact phrasing. Through embeddings, vector-based retrieval and natural language processing, models can connect related concepts and identify which sources appear most trustworthy and contextually relevant.
In practice, this means AI visibility is becoming less about isolated rankings and more about:
- whether your brand is understood as an entity
- whether your expertise is consistently reinforced across the web
- and whether your content is considered reliable enough to cite
Across multiple sessions, the takeaway was broadly the same:
the brands winning visibility in AI-generated answers are usually the brands already demonstrating strong SEO fundamentals.
But there is an additional layer emerging now — understanding which sources AI systems trust and ensuring your brand is present within those ecosystems. (brightonseo.com)
The Shift Towards Agentic Search.
One of the more interesting themes throughout the conference was the idea that search is slowly moving from a “click and browse” experience towards an “agent and complete” experience.
Several talks referenced developments around the Universal Commerce Protocol (UCP), a new open protocol designed to allow AI systems to interact directly with ecommerce platforms and complete transactions on behalf of users. (Eco)
Rather than users manually browsing websites, comparing products and checking out themselves, AI agents are increasingly being positioned as intermediaries capable of:
- discovering products
- comparing options
- evaluating trust signals
- and even completing purchases
This has significant implications for SEO.
Historically, ecommerce SEO focused heavily on rankings, clicks and on-site conversion. But if AI systems begin handling parts of the customer journey directly, visibility may depend less on traditional UI experiences and more on whether your website can be clearly interpreted by machines. (Attila's Blog)
That means structured data, merchant feeds, entity consistency and machine-readable information become even more important.
Structured Data Is Becoming Infrastructure.
One of the more technically interesting talks covered the deeper infrastructure behind AI-readable websites and how structured data is evolving beyond rich results.
Most SEOs already understand the importance of Schema.org and JSON-LD markup. For years, structured data has helped search engines interpret products, organisations, reviews and content relationships.
But the conversation at BrightonSEO suggested we are now entering a new phase.
Talks around NLWeb explored how structured data may increasingly support conversational AI interfaces and autonomous agents. The idea is no longer just helping Google generate a rich snippet — it is helping AI systems understand actions, relationships and commercial intent. (brightonseo.com)
Protocols like:
- Universal Commerce Protocol (UCP)
- Agent Client Protocol (ACP)
- Agent Payments Protocol (AP2)
- and Model Context Protocol (MCP)
are all attempting to standardise how AI systems interact with websites, commerce platforms and APIs. (Eco)
For SEOs, this could represent a shift from optimising purely for rankings towards optimising for machine interpretability.
In other words:
The clearer your website is to machines, the easier it becomes for AI systems to trust, retrieve and potentially transact with your business.
So, What Was Actually New?
Despite the flood of AI terminology, the most valuable takeaway was actually fairly simple:
The fundamentals still matter more than ever.
- Technical SEO remains critical.
- Strong content still wins.
- Authority still matters.
- Trust signals still matter.
- Structured data is becoming increasingly important.
What is changing is the environment those signals operate within.
Search is evolving into something broader than ten blue links. AI systems are becoming retrieval engines, recommendation engines and transactional interfaces all at once. But underneath that shift, the websites most likely to succeed are still the ones with:
- clear expertise
- strong technical foundations
- trustworthy information
- and structured, machine-readable content
SEO is not disappearing.
It is becoming more deeply connected to how machines understand the web itself.
And after BrightonSEO this year, that direction feels much clearer than ever before.
What Does This Mean for Businesses Now?
The biggest implication for businesses is that SEO can no longer sit in isolation as a marketing channel focused purely on rankings and traffic. As AI systems increasingly influence discovery, recommendations and even transactions, websites need to function not only for human users but also for machine interpretation.
For clients, this means the marketing teams need to invest now in strong technical foundations, structured data, clear brand positioning and genuine expertise, which are far more likely to remain visible as search evolves. AI systems are already favouring brands they can confidently understand and trust, and rely on websites that they already trust, to getting mentioned off-site is a key part.
If businesses are not yet thinking about AI-driven discovery, answer engines or machine-readable infrastructure, now is the time to start. That does not mean abandoning traditional SEO strategies in favour of chasing every new AI trend. In many cases, the right next step is actually strengthening the fundamentals:
- improving technical SEO
- cleaning up site architecture
- implementing structured data properly
- building topical authority
- and ensuring brand information is consistent across the web
Is Your Website Ready for the Future of Search?
At GEL Studios, we help businesses build websites that are not only technically strong for today’s SEO standards, but also prepared for the way AI-driven search is evolving. From technical SEO audits and migration support to structured data, content strategy and off-site authority building, we work with brands to improve how both users and search systems understand their websites.
If you are looking to strengthen your online visibility and future-proof your SEO strategy, get in touch with the team to discuss how we can help.
