How to Build a Website That Ranks on Google and AI Search
A website ranks on both Google and AI search when five foundations are in place. It is fast and crawlable, its content answers questions directly, it carries correct schema markup, its brand entity is clear and consistent, and it is connected by internal links into topic clusters.
Ranking on Google and getting cited by ChatGPT, Perplexity, and Google AI Overviews are not separate projects. Do the build below and you cover most of both.
The five foundations
1. Fast and crawlable. If a page loads slowly or a crawler cannot read it cleanly, nothing else helps. Build lean, render content server-side, and keep the structure simple. AI crawlers favour pages that are cheap to render.
2. Answer-first content. Open every page with a direct answer to its main question, then explain. This is what an AI engine extracts and what a reader wants. A page that buries the answer under preamble gets skipped by both.
3. Correct schema markup. JSON-LD tells engines what your content is, who wrote it, and how to read it. Organisation, Article, FAQPage, and Speakable do the work. The detail is in our schema markup guide.
4. A clear entity. Engines cite brands they can identify. One consistent name across your site, profiles, and schema, with reciprocal links between them, lets an engine confirm who you are. Without that, it will not cite you confidently.
5. Topic clusters. One article does not make you an authority. A pillar page connected to several supporting articles, linked both ways, does. Engines read the pattern as depth on a subject.
Where AI search differs
The engines weight things differently. Google AI Overviews mostly pull from pages that already rank well organically, so strong SEO is the path in. Perplexity indexes fast and is more willing to cite newer, well-structured pages. ChatGPT uses the Bing index and favours clear authorship and structured data. The full breakdown is in our AEO guide.
One small addition is a curated llms.txt file, which hands engines a map of your best pages. It is low effort and forward looking, but it sits on top of the five foundations, not in place of them.
The order to build in
Speed and crawlability first, because they gate everything. Then answer-first content and schema together, because they are what engines read. Then the entity work and internal clusters, because they build the authority that earns ranking and citations over time. Skipping to the clever parts before the foundation is set is the common mistake.
This piece sits in our wider AI systems guide, alongside the broader question of what a business website is for when AI answers first. For an example of what this looks like in production, see the Heritage Prime NCR build.
Want your site built to rank on both? Start with our audit.
Frequently asked questions
Will AI search replace Google?
Not soon, and not completely. AI search is growing, but Google still carries the largest volume, and Google AI Overviews mostly cite pages that already rank organically. The practical approach is to build for both at once, since the same foundations serve them.
Should I block AI crawlers from my site?
For most businesses, no. If you want to be cited in AI answers, the crawlers need access. The robots configuration in our build explicitly welcomes the major AI crawlers. Block them only if you have a specific reason to keep content out of AI answers.
What is the single most important factor for AI citations?
Clear, answer-first content backed by correct schema and a consistent brand entity. An engine has to understand what your page says and trust who said it. Speed and crawlability are the gate, and structured answers plus a clear entity are what get you cited.
How long does it take to rank on Google and AI search?
Schema changes can show in AI answers within weeks of a re-crawl. Organic ranking on competitive terms takes longer for a new domain, often months, because it depends on authority that builds over time. Start with the fast, controllable work and let the authority compound.