AI agents are now browsing, comparing, and recommending websites on behalf of users — and that changes how we build, link, and optimise every client project. Across our team, we’re recalibrating technical SEO, content strategy, and site architecture to ensure our clients show up not just in traditional search results but inside AI-driven decision workflows. Here’s what’s driving our approach right now.

Key Takeaways

• Internal linking structures must serve users, search engines, and AI crawlers simultaneously.
• Long-tail keyword strategies are critical for capturing high-intent traffic from both search and AI surfaces.
• Sites need to be crawlable, readable, and citable by autonomous AI agents — not just Googlebot.
• Understanding where AI sources its information is essential for getting cited in AI-generated answers.
• Google Search Console remains the frontline diagnostic tool for spotting issues before they cost rankings.

Rebuild Internal Links to Serve Three Audiences at Once

Internal links have always mattered. What’s changed is who’s following them. Our team now audits internal link structures with three consumers in mind: human visitors, traditional search engine crawlers, and AI agents that traverse sites to build context for recommendations. Broken links, orphan pages, and shallow link depth don’t just hurt PageRank flow — they make a site invisible to AI systems that rely on clear topical pathways to understand what a business actually does.

We’ve standardised a quarterly internal link audit across all managed accounts, a practice reinforced by the comprehensive internal linking strategies outlined by Semrush. Contextual anchor text, logical hub-and-spoke models, and eliminating dead-end pages are non-negotiable items on every checklist.

Target Long-Tail Keywords to Win in Search and AI Alike

Broad, high-volume keywords still have a place. But the traffic that converts — and the queries AI engines pull from — skews heavily toward specific, intent-rich phrases. We’re building content clusters around long-tail variations that mirror how real people ask questions, both in Google and in conversational AI tools like ChatGPT and Perplexity.

This isn’t guesswork. We use search intent mapping and competitor gap analysis to identify phrases with genuine commercial value, aligning with the long-tail keyword research framework published by Semrush. The payoff: lower competition, higher conversion rates, and increased likelihood of being surfaced inside AI-generated responses.

Make Every Client Site AI-Agent Ready

AI agents don’t just scrape text. They browse, compare pricing, evaluate trust signals, and recommend — autonomously. If a site loads slowly, hides key information behind JavaScript rendering, or lacks structured data, it gets skipped. We now treat AI-agent readiness as a core deliverable alongside mobile responsiveness and Core Web Vitals.

Our implementation checklist draws directly from the practical AI-agent preparation guide from Semrush. Clean HTML, schema markup, transparent pricing, and machine-readable FAQs are all standard on new builds and retrofitted into existing client sites.

Understand Where AI Gets Its Information — Then Get Cited

AI models pull from training data, live web crawls, and licensing partnerships. If your content isn’t structured for citation, it won’t appear in AI answers — regardless of how well it ranks in traditional SERPs. We’ve started treating citation optimisation as its own discipline, ensuring client content includes clear attributable statements, original data points, and authoritative sourcing.

This approach is grounded in the detailed breakdown of AI information sourcing from Semrush. Getting cited by AI isn’t luck. It’s architecture.

Use Google Search Console as Your Early Warning System

GSC remains the single most underused free tool in our industry. We monitor indexing coverage, crawl errors, and performance trends weekly for every client. The data feeds directly into our sprint planning — if impressions drop for a key page cluster, we investigate before rankings slide further. Our workflows align closely with the updated Google Search Console guide from Semrush for 2026.

The sites that will perform best over the next 12 months are the ones built for both humans and machines — traditional crawlers and the new generation of AI agents. Every technical decision, content brief, and linking strategy we produce now factors in this dual audience. The fundamentals haven’t changed; the stakes have.

Frequently Asked Questions

What is generative engine Optimisation (GEO) and why does it matter in 2025?

GEO is the practice of optimising your website so AI-powered search tools and agents can find, understand, and cite your content. It matters because a growing share of user queries are now answered by AI systems rather than traditional search result pages.

How do web designers make a site ready for AI agents?

They ensure clean, semantic HTML, add structured data markup, and make key information like pricing and FAQs machine-readable. Fast load times and transparent content structures are also essential for AI crawlers to process a site effectively.

Why does internal linking affect AI visibility?

AI agents follow internal links to map a site’s topical authority and content relationships. Poor internal linking creates dead ends that prevent AI systems from fully understanding what a business offers.

How do long-tail keywords help websites get cited by AI?

Long-tail keywords match the specific, conversational queries users pose to AI tools, making your content a natural fit for AI-generated answers. They also face less competition, increasing the chance your page is selected as a source.

What is the best free tool for monitoring website health for SEO?

Google Search Console is the most reliable free tool for tracking indexing issues, crawl errors, and search performance. Regular monitoring lets you catch and fix problems before they impact your rankings.