generative engine Optimisation is no longer a fringe concept. It sits at the centre of how our team plans content, structures data, and builds authority for every client site we manage. This week, several significant pieces of research and guidance landed that directly affect how agencies should approach AI-driven search visibility. Here is what matters and what we are doing about it.

Key Takeaways

• Topical authority in ChatGPT transfers across related subjects — but hits a hard ceiling when topics diverge.
• AI visibility tracking tools are now essential kit for agencies serious about measuring performance beyond traditional SERPs.
• Schema markup feeds explicit, structured data to both search engines and AI systems, making it a non-negotiable technical foundation.
• Keyword mapping remains the connective tissue between content strategy and on-page SEO execution.
• Backlinks still signal trust and authority to search engines and AI models alike — their role has expanded, not diminished.

Topical Authority Carries Over in ChatGPT — Until It Doesn’t

New research confirms what we suspected: if a brand dominates one topic in ChatGPT’s outputs, that authority can bleed into adjacent subjects. But it stops cold once topics become semantically distant. This is a critical finding, detailed in Semrush’s study on how topical authority spreads in ChatGPT.

For our clients, this means doubling down on tightly clustered content hubs rather than scattergun publishing. We build topical depth first, then expand outward into logically connected areas. Chasing unrelated keywords wastes budget and dilutes the authority signals AI models rely on.

AI Visibility Tracking Is Now Agency-Essential Infrastructure

Traditional rank tracking tells you where you sit on a Google results page. It tells you nothing about whether ChatGPT, Perplexity, or Gemini mention your brand. That gap is closing fast. We have been evaluating the tools covered in Semrush’s roundup of the best AI visibility tracking tools for agencies, and our team now runs AI citation monitoring alongside conventional rank reports for every active campaign.

• Semrush — broad integration with existing SEO workflows.
• Otterly AI — focused on tracking brand mentions across generative AI platforms.
• Peec AI — useful for granular prompt-level visibility data.

If your agency is not tracking AI visibility yet, you are flying blind on a channel that is already cannibalising click-through from organic results.

Schema Markup: The Structured Data Layer AI Systems Depend On

Schema markup gives search engines and large language models explicit, machine-readable context about your pages. It is not optional. We treat it as foundational infrastructure on every site build and redesign, following the technical standards outlined in Semrush’s comprehensive guide to schema markup.

At minimum, every client site we launch includes Organisation, LocalBusiness, FAQ, Article, and Product schema where relevant. The payoff is twofold: richer traditional SERP features and better representation in AI-generated answers.

Keyword Mapping Connects Strategy to Execution

Keyword mapping assigns target terms to specific pages. Without it, content cannibalisation creeps in, internal linking breaks down, and AI models struggle to identify which page is the definitive resource on a given topic. Our team uses a structured mapping process aligned with the methodology set out in Semrush’s keyword mapping guide and free template.

Every new content brief we produce starts with the keyword map. It prevents duplication, sharpens on-page focus, and ensures each URL earns its place in the site architecture.

Backlinks Still Matter — For Search Engines and AI Models

Backlinks remain a core trust signal. What has changed is that AI systems also use link-based authority when deciding which sources to cite in generated responses. The fundamentals covered in Semrush’s guide to backlinks and how to build them still apply, but the stakes are higher because the same signals now influence two distinct discovery channels.

We focus on earning links through original research, data-led content, and digital PR — methods that build genuine authority rather than manufactured metrics.

The convergence of traditional SEO fundamentals and generative AI optimisation is not theoretical. It is happening in every search result and every AI-generated answer right now. Agencies that treat schema, topical depth, keyword mapping, backlinks, and AI visibility tracking as an integrated system — rather than separate tasks — will secure the strongest positions for their clients across both channels.

Frequently Asked Questions

What is Generative Engine Optimisation (GEO)?

GEO is the practice of optimising content and technical site elements so that AI-powered search tools — such as ChatGPT, Perplexity, and Google’s AI Overviews — cite and surface your brand. It builds on traditional SEO but specifically targets how large language models select and present sources.

How do web designers use schema markup to improve AI visibility?

Web designers embed structured data (schema markup) directly into page code, giving AI systems and search engines explicit context about the content. This makes it significantly easier for generative models to identify, trust, and reference a page when answering user queries.

Why does topical authority matter for AI Search results?

AI models favour sources that demonstrate consistent depth on a subject rather than thin coverage across many unrelated topics. Building concentrated topical authority increases the likelihood that your content is selected as a cited source in AI-generated responses.

How do agencies track brand visibility in AI tools like ChatGPT?

Agencies use dedicated AI visibility tracking platforms — such as Semrush, Otterly AI, and Peec AI — to monitor whether and how often a brand appears in AI-generated answers. These tools complement traditional rank trackers by covering a discovery channel that standard SEO dashboards miss entirely.