How to Optimise Your Website for AI Search (Not Just Google)

Google still matters. It is not going anywhere soon.

But it stopped being the only game in town. ChatGPT, Perplexity, Gemini, and Claude now field millions of queries daily. People ask, they get answers, and they never click a link. If your site is not getting cited by these platforms, a chunk of your market is simply not seeing you.

Most businesses have not caught up. Here is what that looks like:

• Your brand never appears when users ask AI tools for recommendations in your category.
• Competitors are getting cited by Perplexity and Claude while your pages get passed over.
• AI-generated answers sit above traditional results, and your site is not in them.
• Customers form opinions from AI responses before they visit any website.
• Your SEO strategy has no way to track or improve AI search visibility.

At Webplanners, we help Australian businesses close this gap. Here is exactly how to optimise your website for AI search across every major platform, not just Google.

Optimising for AI search means structuring your website so platforms like ChatGPT, Gemini, Perplexity, and Claude can understand and cite your content. AI search engines prioritise clear entities, structured schema markup, answer-first formatting, and strong external authority signals. Businesses that define their expertise clearly, implement deep schema, and build trusted brand mentions are more likely to appear in AI generated answers.

Why AI Search Is a Different Than The Old Approach

Traditional search ranks pages. AI search cites sources. That difference matters more than most businesses realise.

Ask Perplexity something and it writes an answer. It names the sources it used. Your site does not appear as a ranked result. It either gets cited or it gets nothing. There is no in-between and no partial outcome worth hoping for.

To rank your brand in AI, you need to be a source these systems trust enough to name. We looked at 500,000 search queries through AI SEO to map out what builds that trust. The finding held every time. Structured, entity-rich, authoritative content gets cited. Keyword-stuffed pages get nothing.

What Does Each AI Platform Actually Look For?

1. Optimise for ChatGPT

Optimise for ChatGPT by getting your brand visible across trusted web sources. Strong service pages, clear FAQ content, and mentions on reputable external sites all feed into this. Entity recognition carries a lot of weight with ChatGPT. Brands not clearly established in its training data or live browsing rarely make it into responses. The result is fairly binary for most sites. 

2. Optimise for Gemini

Your Google Business Profile, website entity data, and schema markup all need to say the same thing. Getting those signals aligned is mostly what optimising for Gemini comes down to in practice. Local data, Core Web Vitals, and NAP accuracy across directories all feed it. Gaps anywhere weaken how confidently Gemini surfaces your business.

3. Optimise for Perplexity

Perplexity likes direct, factual content from domains with real authority behind them. Write content that answers questions head-on and skip the broad takes. Something worth knowing here: Perplexity names its sources visibly. A citation drives real traffic back to your site, which makes this platform particularly useful to optimise for beyond just raw visibility.

4. Optimise for Claude

Optimise for Claude with well-organised pages, clear headings, accurate schema, and author information that checks out. Claude reaches for specific answers. Vague pages rarely earn a mention.

Step-by-Step: How to Optimise Your Website for AI Search

1. Define Your Entities Clearly

Every page needs to answer four things plainly:

• Who you are: Brand name, business type, and location.
• What you offer: Specific services or products, not vague descriptions.
• Who you serve: Target audience and use cases.
• Why you are qualified: Credentials, experience, and verifiable claims.

AI uses this data to categorise your business and decide when to name it. Vague or conflicting entity information is among the main reasons sites don't get cited by AI platforms.

2. Implement Deep Schema Markup

Schema gaps are quite common and most sites don't realise they have them. Professional GEO services always start with a schema audit because it is the base layer of AI search visibility. These types are non-negotiable:

• Organisation schema with sameAs references to your social profiles and directory listings.
• LocalBusiness schema with accurate NAP, opening hours, and service area data.
• FAQPage schema on every content-heavy page.
• Article or BlogPosting schema on all published content.
• Service schema for each individual service you offer.
• BreadcrumbList schema to clarify your site architecture.

3. Build an Answer-First Content Structure

AI grabs content that gets to the point fast. The answer has to come first, not buried after a long setup. Restructure your content with these principles:

• Open each section with a direct answer to the question the heading poses.
• Use concise paragraphs of two to four sentences.
• Add summary boxes or key takeaway sections that AI can extract cleanly.
• Use question-based H2 and H3 headings throughout your content.

Pages built this way are easier for AI to pull specific answers from. That is what gets your site referred when AI platforms write their responses to a user query.

4. Build External Authority Signals

External mentions are proof of trust for AI models. Getting your brand named on industry publications, news outlets, and reputable directories is central to AI citation outcomes.

Go after digital PR in Australian industry media. Guest pieces on credible platforms with clear author attribution matter too. NAP listings across directories and live links from partners or suppliers round it out, etc.

As a provider of trusted AI SEO services in Melbourne, we build authority signals into every client engagement. Off-page credibility influences AI citation outcomes more than most businesses initially expect.

5. Optimise for LLM Platforms Specifically

To rank on LLM platforms like ChatGPT, Gemini, and Perplexity, your content needs these elements:

• Definitions at the start of topic sections.
• Structured comparisons using tables where relevant.
• Numbered processes and step-by-step frameworks.
• Clear attribution to verifiable data sources.
• Consistent internal linking that builds topical authority clusters.

Not sure how long it takes to see SEO results from these changes? Schema and structural fixes can shift AI citation patterns in four to eight weeks. Full topical authority takes three to six months. Both timelines are worth the effort.

Technical Foundations That Support AI Search Visibility

Strong AI SEO needs solid technical ground underneath it. Good content on a poorly built site stalls. Get these right first:

• Fast page load times across mobile and desktop.
• Clean crawl structure with no orphan pages or broken internal links.
• Accurate sitemap and robots.txt configuration.
• SSL certification and secure hosting.
• Core Web Vitals within Google's recommended thresholds.

An AEO agency in Melbourne like Webplanners runs technical audits alongside content strategy. Both sides have to hold. One weak link shows up in the results.

Local Signals Matter Too

For Australian businesses targeting specific cities or regions, local signals feed directly into AI search optimisation. Gemini and other platforms surface local businesses for location queries. Your Google Business Profile needs to be well-optimised. Local citations and location-specific content shape how prominently the brand appears in those results.

A local SEO agency that understands AI search can weave local work into your broader strategy. When that is done properly, your brand tends to show up in both local results and AI-generated answers.

Measuring Your AI Search Visibility

Standard rank trackers do not measure AI citations. To get a real read on where your brand stands, use these:

• Monitor brand mentions using tools like Google Alerts and media monitoring platforms.
• Test your brand manually across ChatGPT, Perplexity, Gemini, and Claude for key queries.
• Track referral traffic from AI platforms in Google Analytics.
• Use AI overview impression data in Google Search Console.

Your 2026 SEO playbook needs AI citation monitoring sitting alongside your ranking and traffic data as a standard metric.

Final Thoughts

AI search is not a separate project. The technical work, quality content, and authority building that lift Google rankings do the same for AI visibility. What changes is the level of detail required. Deeper schema. Tighter entity definition. Cleaner content structure. Broader off-page authority.

Businesses making these adjustments now tend to be the ones getting cited across AI platforms consistently. As a provider of generative AI content services in Melbourne, Webplanners builds this kind of visibility for Australian businesses. Contact us today and know how we can help your business appear in AI search results. 

FAQs

What does it mean to optimise your website for AI search?

To optimise your website for AI search means building your content, technical setup, and authority signals so platforms like ChatGPT, Gemini, Perplexity, and Claude can read, trust, and cite your site. It covers entity definition, schema markup, answer-first content, and off-page credibility, etc.

How do I optimise for ChatGPT specifically?

Building up your brand as a known entity across your website and external sources will help you get cited in ChatGPT. Mentions on high-authority sites, well-built FAQ and service pages, and solid schema markup can all help. External credibility is quite a significant factor in which sources ChatGPT tends to consider worth referencing.

What is the difference between GEO and AEO? 

Generative Engine Optimisation (GEO) is about getting inside AI-generated answers on platforms like ChatGPT and Gemini. Answer Engine Optimisation (AEO) is more targeted; it is about being chosen as the direct answer to a specific question. Both need professional GEO services and share the same foundations in schema, entity clarity, and answer-first content. An AEO agency in Melbourne like Webplanners builds both into one strategy.

How do I get cited by Perplexity and Claude?

Perplexity cites content that answers questions in a structured format from a domain with real authority. When optimising for Claude, you have to focus on building clean and tidy pages. Make sure your content has clear headings, verified author bio, and accurate schema. Both platforms look for specific and credible over general or vague information, etc.

How long does it take to rank your brand in AI search results?

Schema and technical fixes can start shifting AI citation patterns in four to eight weeks. Building the topical authority and off-page signals needed to rank your brand in AI takes three to six months of consistent work. Starting earlier gives you a head start that tends to widen the gap between you and competitors over time.

Does optimising for AI search hurt traditional Google rankings?

No. Signals that generate citations from AI platforms, like schema, entity clarity, topical authority, and content depth, also improve Google rankings. AI search optimisation is an extension of current SEO work.