
GEO in 2025: How We’re Preparing Client Sites for AI Agents, ChatGPT Search, and the New Visibility Landscape
generative engine Optimisation (GEO) is no longer a theoretical exercise. AI agents are actively browsing, comparing, and recommending websites on behalf of users — and the brands that show up in those AI-driven workflows win the click. Our team has spent the past quarter retooling client strategies around this shift. Here is what we’re doing right now, drawn from the latest technical guidance across the industry.
Key Takeaways
- AI brand visibility reporting now pairs share of voice, citations, and sentiment with GA4 conversion data — giving leadership a single actionable dashboard.
- Websites must be structured so AI agents can crawl, read, trust, and cite them inside automated decision workflows.
- Ranking in ChatGPT search requires extractable content and strong off-site consensus signals.
- Traditional SEO remains the foundation; it directly complements answer engine optimisation heading into 2026.
- Google Search Console is still the most underused free diagnostic tool for spotting technical issues that block both traditional and AI-driven discovery.
Build an AI Brand Visibility Report Leadership Will Actually Use
Clients ask us one question more than any other right now: “Are we showing up in AI results?” Answering that requires a report that goes beyond traditional rank tracking. We now combine AI share of voice, citation frequency, and sentiment analysis with GA4 conversion metrics in a single document. This approach is outlined clearly in the AI brand visibility report template published by Semrush. The template is free. We’ve adapted it for every retainer client. The key benefit: board-level stakeholders get a one-page view of how their brand performs across both Google and generative AI surfaces, tied directly to revenue outcomes.
Make Your Site Ready for AI Agents — Not Just Humans
AI agents don’t behave like traditional crawlers. They browse pages, compare product specs, evaluate trust signals, and then recommend options back to the user. If your site isn’t structured for that workflow, you’re invisible.
Our technical team now audits every client site against a GEO-readiness checklist:
- Clean, crawlable HTML with semantic markup.
- Clearly structured data (schema) on key commercial pages.
- Authoritative, citable claims backed by named sources.
- Fast, accessible page loads with no JavaScript rendering traps.
This mirrors the practical framework laid out in Semrush’s guide on preparing sites for AI agents. We treat these checks as standard maintenance now, not optional extras.
Eight Steps to Rank in ChatGPT Search
ChatGPT search pulls from web content and synthesises answers in real time. Ranking there is a different discipline from ranking in Google’s ten blue links. The content must be easy for AI systems to extract — short, factual paragraphs with clear entity references. Off-site consensus matters enormously: if multiple trusted sources say the same thing about your brand, ChatGPT is more likely to surface you.
We’ve adopted the eight-step process for improving ChatGPT search visibility detailed by Semrush as part of our content strategy workflow. Steps include tightening on-page structure, building topical authority through consistent publishing, and earning mentions on high-trust third-party sites.
Traditional SEO Still Underpins Everything
GEO does not replace SEO. It sits on top of it. Sites with weak technical foundations, thin content, and poor backlink profiles perform badly in AI results too. As Semrush’s breakdown of why SEO still matters in 2026 makes clear, organic search remains the highest-volume owned traffic channel for most businesses. Our advice to clients is blunt: fix your SEO fundamentals first, then layer in GEO tactics.
Google Search Console Remains Your First Diagnostic Stop
Every GEO audit we run starts in Google Search Console. It flags crawl errors, indexing failures, and Core Web Vitals issues that affect both traditional and AI-driven discovery. Yet many site owners barely scratch the surface of what GSC offers. We follow the comprehensive GSC setup and usage guide from Semrush to ensure every client property is correctly configured, verified, and actively monitored. If GSC shows problems, AI agents will encounter those same problems — and move on to a competitor.
The shift towards generative engines is accelerating through 2025 and into 2026. Brands that treat GEO as an add-on will fall behind. Our team treats it as core infrastructure — built on solid SEO, measured through AI-specific reporting, and maintained through disciplined technical auditing. That is the standard we hold every client site to moving forward.
Frequently Asked Questions
What is Generative Engine Optimisation (GEO) and how does it differ from traditional SEO?
GEO is the practice of optimising your website and content so AI-powered search tools — such as ChatGPT search and AI agents — can find, extract, and cite your information. It builds on traditional SEO but adds requirements like citable claims, structured data, and off-site consensus signals.
How do web designers make a site ready for AI agents?
Ensure clean, semantic HTML, fast page loads, properly implemented schema markup, and content structured in short, factual paragraphs. AI agents need to crawl, compare, and trust your pages within automated decision workflows, so removing JavaScript rendering barriers and adding authoritative source references is essential.
Why does on-page SEO still matter if AI tools are replacing traditional search?
AI tools rely on the same underlying web content that Google indexes, so weak technical SEO means poor AI visibility too. Strong on-page fundamentals — clear headings, fast load times, quality content — remain the foundation that every generative engine optimisation strategy is built upon.
How do you measure AI Search visibility for a brand?
Combine AI share of voice metrics, citation counts, and sentiment scores with GA4 conversion data in a single report. This gives stakeholders a clear view of how the brand performs across both traditional and AI-driven search surfaces, tied directly to business outcomes.





