AI-powered search engines now decide which brands get recommended in conversational answers, and most businesses are invisible in those results. Our team is actively shifting client strategies to address this gap. The tactics that once drove traditional SEO rankings still matter, but they must now be layered with deliberate efforts to earn citations inside AI-generated responses. Here is what we are implementing right now and why it matters for every business with a website.

Key Takeaways

• Digital PR is no longer just about backlinks — it directly influences whether AI systems mention your brand in their answers.
• AI visibility gap analysis lets you pinpoint the exact prompts and sources where competitors get cited and you do not.
• Website marketing strategies must now build the kind of structured credibility that AI systems rely on to make recommendations.
• Link building in 2026 serves a dual purpose: improving traditional search rankings and increasing AI citation likelihood.
• Local businesses face a unique challenge, as AI Search engines typically recommend just one or two providers per query.

Digital PR Now Drives AI Brand Mentions, Not Just Links

We have long used digital PR to earn authoritative backlinks for our clients. That function remains, but the game has expanded. AI models like ChatGPT, Gemini, and Perplexity pull their recommendations from the sources they trust most — news outlets, industry publications, expert roundups, and high-authority blogs. If your brand appears consistently across these sources, AI is far more likely to name you in its answers.

Our team is now running targeted campaigns built around five core tactics, including expert commentary placement, data-led stories, and strategic newsjacking. We are also tracking AI mentions as a standalone KPI, a practice outlined in detail in this guide to digital PR tactics for growing AI visibility. If you are not measuring whether AI talks about you, you are flying blind.

Competitor Gap Analysis Reveals Where You Are Missing from AI Answers

One of the most actionable steps we take for new clients is running an AI visibility gap analysis. The process is straightforward: identify the prompts your target audience is asking AI systems, then check which brands get cited in the responses. If your competitors appear and you do not, that is a gap you can close.

We use tooling that maps these gaps systematically, cross-referencing the underlying sources AI models pull from. This approach, detailed in Semrush’s walkthrough on finding AI visibility gaps, gives us a concrete action list: which publications to target, which topics to create content around, and which competitor mentions to displace.

Website Marketing Must Now Satisfy AI Trust Signals

AI systems do not just crawl your site — they evaluate your brand’s broader footprint. Consistent NAP data, structured markup, topical authority across your content library, and third-party validation all feed into whether an AI model considers you credible enough to recommend.

We are restructuring client websites around these trust signals as a standard part of our builds. This aligns with the updated framework for website marketing in the AI search era, which treats site credibility as the foundation AI uses to decide which brands deserve a mention.

Link Building Serves Both Search Engines and AI Models

Links remain a core ranking factor in traditional search. What has changed is their secondary value: the pages that link to you are often the same pages AI models reference when generating answers. A well-placed link on a high-authority industry resource does double duty.

Our link building campaigns now prioritise sources that AI systems are known to cite. We focus on editorial placements, resource pages, and niche directories with genuine authority — the kind of work covered in this updated breakdown of what link building looks like in 2026.

Local Businesses Must Act Fast or Lose the Single AI Recommendation Slot

When someone asks an AI assistant for a local recommendation, the response typically names one or two businesses. Not ten. Not a map pack. One or two. That makes local GEO arguably the highest-stakes version of this work.

We are helping local clients dominate these slots by tightening Google Business Profile data, earning local press coverage, and building topical content that establishes geographic authority. The practical steps mirror those laid out in this resource on AI search optimisation for local businesses.

The shift to AI-driven search is not theoretical — it is already reshaping how customers find and choose providers. Our team is embedding GEO into every client engagement, from technical audits to content strategy to digital PR. The businesses that act now will own the AI answer box. The rest will wonder where their traffic went.

Frequently Asked Questions

What is GEO and how does it differ from traditional SEO?

GEO — generative engine Optimisation — focuses on earning citations and brand mentions inside AI-generated search answers, rather than just ranking in a list of blue links. It requires building authority across third-party sources that AI models trust, not only optimising your own website.

How do web designers make a site more visible to AI search engines?

We ensure sites use structured data markup, maintain consistent brand information across the web, and publish authoritative topical content. These trust signals help AI systems recognise a brand as credible enough to recommend in conversational answers.

Why does digital PR matter for AI visibility?

AI models pull their recommendations from high-authority sources like news sites, expert roundups, and industry publications. If your brand is consistently mentioned across these outlets, AI systems are significantly more likely to cite you in their responses.

How can local businesses get recommended by AI assistants?

Local businesses need accurate Google Business Profile data, local press mentions, and location-specific content that establishes geographic expertise. AI assistants typically recommend only one or two local providers per query, so being thorough with these signals is critical.