How to make your website AI-friendly

Most websites were built for Google. The problem is that a growing share of your audience has moved on.

Making your website AI-friendly is not a separate project from SEO. It is the next layer of it. Roar builds and executes GEO strategies that get businesses cited in AI-generated responses, across every platform where their audience is looking.

Your website has a new kind of visitor.

AI search doesn’t work like traditional search. There’s no results page, no rankings, no position to fight for. When someone asks tools like ChatGPT or Perplexity for recommendations, they return a small set of cited sources—and ignore everything else.

You are either cited or invisible.

Your website now has two types of machine visitor:

  • AI crawlers (like GPTBot, ClaudeBot, and PerplexityBot) that collect and process your content
  • AI agents that actively browse on behalf of users (researching, comparing suppliers, and sometimes taking action)

Both are already visiting your site. The question is: are you giving them something worth citing?

The commercial impact is already clear: Visitors from AI platforms also convert at 4.4× the rate of organic search.

Volume is still low.
Intent is not.

This shift is accelerating, and so is the competition.

67% of Fortune 500 CMOs now rank Generative Engine Optimisation (GEO) as a top-three priority for 2026, up from just 18% in 2024. Early adopters are building citation authority while competition is still relatively low.

If AI isn’t citing you, that means it’s citing someone else.

What makes a website AI-friendly?

An AI-friendly website works across four layers, and all four need to be right. Technical access determines whether AI crawlers can reach your content at all. Structured data tells AI what your content means once it gets there. Content structure determines whether AI can extract and use what it finds. Authority signals determine whether AI trusts your site enough to cite it.

Most businesses have gaps in at least two of these layers. Many have never audited them at all.

AI search doesn't rank websites. It cites them. Is yours being cited?

2.8X

more citations with technical foundations

Technical access

AI needs to find you before it can recommend you: AI crawlers are not Googlebot. GPTBot, ClaudeBot, and PerplexityBot are distinct user agents, each requiring deliberate configuration. Most robots.txt files were written before they existed. Many enterprise sites block AI crawlers entirely through CDN or firewall rules, even when robots.txt appears permissive. Sites built on JavaScript frameworks without server-side rendering are effectively invisible to AI crawlers, regardless of how good the content is. A full technical AI audit identifies exactly what AI can and cannot access on your site, and fixes what is blocking it.

Authority icon representing Roar Digital’s off-page SEO and trust building

Authority signals

AI systems are selective about what they cite. A technically sound, well-structured site still needs to demonstrate that it is a trustworthy source. That means named, credentialled authors on substantive content. It means consistent entity information across your website, Google Business Profile, LinkedIn, and industry directories. It means earned media, third-party citations, and mentions from credible independent sources. And it means a content governance process that keeps your site visibly current. These signals do not accumulate quickly. They are built through sustained effort, and they compound over time.

88%

of AI Citations come from pages not in the top 10

Content structure

AI systems extract specific sections to construct responses. Content that is not structured for extraction will not be cited, regardless of its quality. That means every substantive section needs to open with a direct, standalone answer. It means using clear, declarative language over vague marketing copy. It means ensuring that key information, credentials, case study data, service details, is in text on the page and not trapped inside images, videos, or downloadable PDFs. Topic clusters and internal linking signal topical depth. Content refreshed within 90 days is cited significantly more often than content left untouched for a year.

Roar Digital structured data icon with connected documents, symbolising schema markup, site hierarchy and enhanced search visibility.

Structured data and schema

Schema markup is how you remove ambiguity for AI systems. It tells a crawler that a block of text is a service description, that a person is a credential author, that your business operates in specific locations. Google and Microsoft Bing have both confirmed that schema markup helps their AI systems understand content. The priority types for most businesses are Organisation, Service, FAQPage, and Article with Author attribution. For businesses managing large sites across distributed teams, schema drift, where markup falls out of sync with live content, is an active trust risk, not just a technical oversight.

Every partnership starts with understanding where your site stands across all four layers now, and where you have the potential to reach. Most clients have significant quick wins available before any new content is produced.

How Roar approaches AI search optimisation

1. AI readiness audit

We examine your site across all four dimensions: crawler access, schema implementation, content structure, and authority signals. You get a clear, prioritised view of what is costing you AI visibility and what fixing it will require.

2. Strategy and prioritisation

We build a GEO strategy aligned to your commercial goals. That means identifying which actions will have the most immediate impact and what a sustained 90-day programme looks like, including how GEO activity integrates with any existing SEO work.

3. Implementation

Our team handles technical configuration, schema implementation, content restructuring, and authority-building activity. We do not hand over a list of recommendations and leave. We do the work.

4. Measurement and reporting

We track AI citation frequency, branded search uplift, and AI-referred sessions in GA4. We also help clients implement self-reported attribution, adding AI as a source option in contact forms, which consistently reveals AI-influenced leads that analytics alone cannot capture. You see what is working and where to focus next.

Website friendliness FAQs

AI Overviews and AI-generated responses are answering queries without users needing to click through. Organic click-through rates have dropped 61% on queries where AI Overviews appear. Your rankings may be intact. The traffic those rankings used to deliver has shifted to zero-click AI responses. Making your website AI-friendly ensures your brand is present in those responses rather than absent from them

AI systems cite sources that are technically accessible, clearly structured, and demonstrably authoritative. That means your site needs to be crawlable by AI bots, your content needs to be formatted for extraction, your schema markup needs to define what you do and for whom, and your brand needs independent third-party mentions that AI can use as trust signals. GEO is the discipline that addresses all four.

SEO optimises your website to rank in traditional search results. GEO, Generative Engine Optimisation, optimises your website to be cited in AI-generated responses from platforms like ChatGPT, Perplexity, and Google AI Overviews. The technical foundations overlap significantly. The content approach and success metrics are different. Most businesses need both working in parallel.

Disable JavaScript in your browser and load your key pages. If the content disappears, AI crawlers including GPTBot and ClaudeBot cannot see it either. You should also check your robots.txt for AI-specific user agents and review server logs for AI crawler activity. Many sites are inadvertently blocking AI crawlers through CDN or firewall rules even when robots.txt appears permissive. An AI readiness audit will surface what manual checks miss.

Some technical fixes, resolving crawler blocks and implementing schema markup, can improve AI visibility within weeks. Building the content depth and authority signals that drive consistent citation takes longer, typically three to six months of sustained work. Between 40% and 60% of AI-cited sources change month-to-month, so the goal is building durable topical authority rather than optimising for individual responses.

Yes, in specific topic areas and niches. AI systems do not weight citation purely on domain authority or backlink volume. A well-structured, clearly maintained website with genuine depth on a specific topic can be cited ahead of a larger, less organised competitor. GEO is more level as a playing field than traditional search has ever been, particularly for businesses with real sector expertise.

GEO and SEO reinforce each other. The technical work, schema implementation, content structure, and crawlability improvements, strengthens traditional search performance as well as AI visibility. There is no trade-off. Businesses that treat GEO as a separate workstream from SEO are creating unnecessary separation between two disciplines that share the same foundations.

Start by running your priority queries manually in ChatGPT, Perplexity, Google AI Overviews, and Gemini each month. Supplement this with a GA4 exploration tracking referral sessions from AI platforms. Add AI as a source option on your contact form, because AI-influenced leads frequently do not appear in referral data at all. Seer Interactive found this approach revealed AI as the source of 10% of inbound leads, despite AI accounting for less than 1% of measured traffic.

Get in touch to make your website more AI friendly

Roar is one of the UK's first agencies to offer GEO as a dedicated service. If your website needs to work harder in AI search, let's talk.

Contact us