Nautilida
marketing site, end-to-end.

The category landing.

First-time visitors land here and either get the category in 10 seconds or bounce. Everything is paced for that.

The home page does three jobs at once: positions Nautilida as the AI Team Lead for Sales category (not another assistant, not another dashboard), frames the problem in operator language (revenue coordination, not "AI productivity"), and gets a qualified visitor into either a comparison page or the contact flow.

Structured data (Organization, Product, FAQ) is embedded inline; llms.txt at the root tells AI crawlers exactly which pages to cite for which intents.

• 01Hero — Headline + sub + dual CTA (book a call, see how it works).
• 02Problem framing — What revenue teams actually run on, and where the breaks are.
• 03The weekly loop — Monday brief, mid-week priorities, Friday recap, compounding memory.
• 04Product surfaces — Three concrete capabilities with visual examples.
• 05Comparison teaser — Quick-glance differentiators vs Gong, Clari, Gainsight.
• 06Footer — Quick links, contact, llms.txt reference, schema.

Twelve comparison pages, each built for AI-search.

When a buyer asks "Nautilida vs Gong?" in ChatGPT, Perplexity, or Claude — there's a page sitting there ready to be cited.

Each comparison page follows a strict editorial pattern: a short answer at the top (extractable by AI), a differentiator table in the middle, category clarification for buyers who think the two tools are alternatives (often they're complementary), and FAQs with schema at the bottom.

Examples shipped:

• 01/compare/gong — Revenue intelligence vs coordination layer.
• 02/compare/clari — Forecasting platform vs operating rhythm.
• 03/compare/gainsight — CS platform vs cross-functional revenue coordination.
• 04/compare/{outreach,salesloft,hubspot,...} — Plus nine more, same pattern, different category.

Where the category clicks: industries with recurring revenue.

Vertical pages exist because the buyer's "is this for me?" question is faster to answer with their own industry than with abstract category language.

• 01/use-cases/manufacturing — Named accounts, predictable reorder cadence, AM-coordinated revenue.
• 02/use-cases/catering — B2B kitchens with repeat customers, office and event programs, deep account memory.

Each page is structured the same: the industry's recurring-revenue pattern, three concrete coordination problems, how Nautilida's weekly loop addresses each, and a section-specific contact CTA.

The category dictionary.

When a buyer or a search engine asks "what is an AI team lead for sales?" — there is a clean, schema-marked definition page ready to answer.

Every glossary entry follows the same anatomy: short answer (1–2 sentences, AI-extractable), longer explanation, related terms, and FAQPage / DefinedTerm schema embedded inline. Definitions cover the entire category surface — coordination layer, weekly loop, AI team lead, revenue book memory, and more.

Long-form, written to be cited.

The blog isn't a feed of news. Each piece exists to anchor a specific narrative in the buyer's head and to give AI engines something substantive to quote.

Shipped pieces:

• 01The weekly revenue coordination loop, explained. Manifesto for the operating rhythm. 9 min read.
• 02What is an AI team lead for sales? Definition + category note. 7 min read.
• 03Revenue intelligence vs Nautilida. Comparison narrative, complementary positioning. 6 min read.

Each post has the AEO pattern: short answer at the top, narrative body, key takeaways, FAQs with schema.

The Literacy microsite — 7-chapter category primer.

A separate microsite that exists to explain the AI-native sales category to VCs and B2B buyers before any product pitch happens. Long-form, navigable, designed to be opened in fundraising conversations.

• 01Why AI-Native Sales — Why the category exists now and why it didn't before.
• 02The Old Stack Breaks — Where the existing revenue tooling falls short.
• 03Agents, Not Seats — From software-as-tool to software-as-team-member.
• 04Data as Destiny — Why cross-stack memory is the real moat.
• 05Trust at Scale — How AI earns the right to act on revenue data.
• 06The New Metrics — What you measure when coordination is the moat.
• 07What Comes Next — The trajectory of the category, and what to bet on.

Written and designed solo. Used in live fundraising conversations with VCs and design-partner intros.