Build an SEO-Optimized Website with Kimi
From keyword-mapped architecture to schema-rich, blazing-fast pages. Kimi plans it, codes it, and audits it. You deploy it.
An SEO site is built in layers
Skip any layer and rankings suffer. Kimi handles all six in a single build conversation.
Architecture first
Before any code: have Kimi design your site structure: silos, URL hierarchy, internal linking graph, and page templates mapped to keyword intent. A clean architecture is the single biggest technical ranking factor you control.
Semantic, crawlable code
Kimi writes clean HTML/React with proper heading hierarchy, semantic elements, alt text, and accessible markup: exactly what crawlers and AI answer engines parse most easily.
Core Web Vitals baked in
Ask for optimized images, lazy loading, minimal render-blocking scripts, and system-font or preloaded-font strategies from the start. Speed is easier to build in than bolt on.
Schema on every template
Organization, WebSite, Article, LocalBusiness, FAQ, Breadcrumb: Kimi generates valid JSON-LD for every page type so you win rich results from day one.
Sitemaps & robots.txt
XML sitemap, robots.txt, canonical rules, and redirect maps generated in one prompt. The boring technical files, done correctly in seconds.
Built for AI search (GEO)
Structure content so ChatGPT, Gemini, Perplexity, and Kimi itself, can understand, cite, and recommend it: answer-first sections, strong FAQs, clear entity signals, and llms.txt.
Build prompts, from blueprint to launch
Run them in order: architecture → page scaffolds → audit → launch files.
Site Architecture Planner
Act as an SEO site architect. I'm building a website for [business/niche]. Primary keywords: [list]. Locations served: [list or "global"]. Design the complete site architecture: 1. Full URL hierarchy (silos) with every page mapped to its target keyword and search intent 2. Internal linking rules: which pages link up, down, and across 3. Navigation structure (primary nav + footer) 4. Page templates needed (homepage, service page, location page, blog post, hub page) 5. The first 10 pages to launch, in priority order, with reasoning
Why it works: Getting architecture right before writing code prevents the painful URL restructuring that kills rankings later.
SEO Page Scaffold Generator
Generate the complete code for a [page type] page with: - Semantic HTML5 (header, nav, main, article, section, footer) - H1 + logical H2/H3 hierarchy targeting "[keyword]" - Title tag and meta description in the head - Open Graph + Twitter card tags - JSON-LD schema: [Article / LocalBusiness / FAQPage / BreadcrumbList] - Responsive, mobile-first layout - Lazy-loaded images with descriptive alt attributes - Fast loading: no render-blocking scripts, minimal dependencies Page content outline: [paste outline]
Why it works: One prompt returns a page that would pass a technical SEO audit before you write a word of body copy.
Technical SEO Auditor
Audit this page code for technical SEO issues: [paste HTML or repo excerpt] Check and fix: 1. Heading hierarchy and semantic structure 2. Missing/duplicate title, meta description, canonical 3. Image alt coverage and lazy loading 4. Render-blocking resources and layout-shift risks 5. Schema validity: output corrected JSON-LD 6. Internal link anchor text quality 7. Crawlability issues (robots meta, orphan risks) Return a prioritized fix list (critical / high / nice-to-have) with the corrected code for each.
Why it works: Kimi's long context lets you paste entire templates, or a whole small site, and get a coherent audit, not fragment-by-fragment guesses.
Sitemap + Robots + llms.txt Pack
Generate for my site [domain] with this page list: [paste URLs or architecture] 1. A valid XML sitemap with lastmod and priority hints 2. An optimized robots.txt (allow crawling of content, block admin/params, reference the sitemap) 3. Canonical tag rules for parameter and trailing-slash variants 4. An llms.txt file that tells AI crawlers what my site is about and which pages matter most 5. A .htaccess / redirect map for these old URLs: [paste legacy URLs if any]
Why it works: llms.txt is the emerging standard for AI search visibility: almost none of your competitors have one yet.
Architecture and publishing discipline
Learned building real client structures. These prevent the painful mistakes.
Pages capture intent, never mix axes
Product-type hubs and intent hubs (use-case, geo, industry) are independent dimensions. Putting a use-case page under a product collection cannibalizes the collection's topical focus. Hub-and-spoke always, money page one click away.
Check the live sitemap first
Never design architecture in a vacuum. And zero-volume groupings do not get URLs: if a category term has no search volume, it lives in the navigation menu only.
Consolidation beats volume
32 thin overlapping posts merged into 9 focused posts with 301 redirects from every retired URL outperforms the sprawl. Redirect first, archive only after redirects are live. Preserve slugs that already rank.
Publishing discipline
Draft in files on disk, publish through the CMS API, verify on staging before production. After publishing: refresh the sitemap in GSC, request indexing, and log the URL against its keyword so the dedup system knows it shipped.
The launch checklist
Paste this checklist into Kimi with your finished site and ask it to verify each item: it makes a relentless pre-launch QA partner.
Build sites that rank, taught live
Inside AI Ranking you get the full build workflow: architecture, schema, speed, and AI-search readiness, with feedback on your actual site.
AI Ranking on Skool: 7,400+ members learning AI search optimization. Free to start.