Agentic-First Websites
Websites designed to be navigated by both people AND AI agents. Multi-language, complete Schema.org, Core Web Vitals ≥95 and llms.txt.
PageSpeed Score
mobile and desktop
LLM Crawlable
GPT, Claude, Perplexity, Gemini
Languages from day one
ES + EN with semantic URLs
Why does it matter if AI understands your site?
Google no longer shows just links
Google's AI Overviews answer questions directly in search results. If your site doesn't have correct Schema.org, readable text content and semantic structure, you don't appear in those answers. Organic traffic goes to whoever built correctly.
AI agents are already making decisions
Tools like ChatGPT Operator, Claude Computer Use and Perplexity browse websites autonomously to compare services, extract prices and make recommendations. If your site isn't navigable by agents, you don't exist in that decision layer.
ChatGPT and Claude recommend companies
When someone asks an LLM "who does Staff Augmentation in Colombia?" or "best FinOps company in LATAM", the LLM responds with companies it indexed correctly. Appearing in those answers requires a site built with this standard.
This site— nivelics.com — was built with all these standards. What you see here is exactly what we build for you.
Everything that makes a site agentic-first
Technical multi-language (i18n)
Architecture from first commit, semantic routes per language, hreflang, x-default, og:locale.
URL architecture without errors
No 404s, documented 301 redirects, canonical tags, no duplicate content.
Performance that Google rewards
LCP < 2s, CLS = 0, INP < 150ms, WebP/AVIF, hosted fonts.
Structured data for machines
JSON-LD server-side, Organization, Service, BreadcrumbList, FAQPage.
The robots.txt of LLMs
llms.txt standard, bilingual, with ES/EN URL pairs.
Granular access for AI bots
robots.txt configured for GPTBot, Claude-Web, PerplexityBot etc.
Navigation that agents read
aria-labels, data-attributes, SiteNavigationElement Schema.org.
Breadcrumbs for humans and crawlers
BreadcrumbList JSON-LD, translated labels.
Strict semantic HTML
H1→H2→H3 hierarchy, one H1 per page, content in text not images.
Our process for an agentic-first site
Architecture
URL map, i18n strategy, Schema.org plan, performance budget and tech stack selection.
Technical Setup
Project scaffold, i18n routing, JSON-LD generators, llms.txt, robots.txt, sitemap config.
Pages
Component-driven page development, semantic HTML, breadcrumbs, CMS integration.
Performance
Core Web Vitals optimization, image pipeline, font strategy, bundle analysis.
Audit & Launch
Automated technical audit, cross-browser testing, staging review, production deploy.
What you see here is what we build for you
Open /llms.txt
Visit nivelics.com/llms.txt and see the structured file that LLMs use to understand this site.
Check the sitemap
Inspect sitemap.xml with all bilingual URLs, canonical tags and lastmod dates.
Inspect the JSON-LD
View page source on any page and find Organization, Service, BreadcrumbList and FAQPage schemas.
Switch the language
Toggle between /es and /en and verify semantic URLs, hreflang and content parity.
PageSpeed Score
pages
schemas
languages
Why an agentic-first site vs. a traditional one?
| Criterio | WordPress / Traditional agency | Agentic-First Site — Nivelics |
|---|---|---|
| LLM indexing | Not considered | ✓Designed from the start |
| llms.txt | Doesn’t exist | ✓Implemented and bilingual |
| Schema.org | Generic plugins, incomplete | ✓Complete JSON-LD server-side |
| Multi-language | i18n plugin with /es/ and /en/ URLs | ✓Native architecture, ES at root |
| hreflang | Frequently incorrect | ✓Automatically verified |
| Core Web Vitals | 60-75 due to plugins and themes | ✓≥95 by architecture design |
| SEO Breadcrumbs | Plugin that fails on subpages | ✓SSR BreadcrumbList on all pages |
| Semantic URLs | CMS-dependent | ✓Defined before writing code |
| Technical audit | Manual or nonexistent | ✓Automated script on every deploy |
| Canonical tags | Auto-generated, sometimes wrong | ✓Verified page by page |
| Time to SEO results | 3-6 months | ✓30-60 days (correct technical base) |
| Correction costs | High — undo what was done wrong | ✓Low — architecture is the foundation |
Frequently Asked Questions
What's the difference between an 'agentic-first' site and a site with good SEO?
Good SEO optimizes for Google's traditional crawlers. An agentic-first site goes further: it's also structured so AI agents (ChatGPT, Claude, Perplexity) can navigate, understand and recommend your content. This includes llms.txt, complete JSON-LD schemas, semantic HTML hierarchy and bilingual URL architecture that LLMs can parse natively.
How long until my site appears in ChatGPT or Claude answers?
Once the site is live with all agentic standards, LLMs typically begin indexing and referencing the content within 2 to 6 weeks. The timeline depends on the LLM's crawl frequency and domain authority, but the correct technical foundation is what makes it possible in the first place.
Can I update content without knowing code?
Yes. We integrate a headless CMS (like Sanity, Contentful or Strapi) so your team can edit text, images and metadata without touching code. The structured data, schemas and performance optimizations remain intact regardless of content changes.
What happens with multi-language if I add new content?
The i18n architecture is built from day one. When you add a new page or blog post in one language, the system creates the corresponding route in the other language, generates the hreflang tags automatically, and updates the sitemap and llms.txt with both URL versions.
How much does an agentic-first site cost?
Pricing depends on the number of pages, integrations and whether you need a CMS. A typical project with 15-30 pages, two languages, CMS and all agentic standards starts around USD $15,000-25,000. We provide a detailed quote after a free discovery call.
Can you build it in English from the start for US markets?
Absolutely. While the architecture supports both ES and EN from the start, the primary language can be English with Spanish as secondary. We adapt the URL structure, hreflang tags and llms.txt to reflect the market priority you need.
Is your current site ready for 2026?
In 30 minutes we analyze your current site and tell you exactly what it needs to be indexed by LLMs and AI agents.