My Citations Website

A citations website is a collection of pages designed to be cited by AI answer engines and discovered by buyers who search with questions, not keywords. Traditional SEO optimizes for results pages buyers skip — ranking #4 no longer wins the click when ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, and Claude answer the question inline. Buyers increasingly ask AI before opening search results, and if your content isn't structured for citation, you're invisible.

Citensity tracks 6 AI engines and allows 20 AI crawlers — including GPTBot, ClaudeBot, PerplexityBot, and Google-Extended — explicitly named in robots.txt. Every page ships with 100% JSON-LD coverage: Article, FAQPage, BreadcrumbList, and Organization schema. This structured data tells AI engines what your page is about, who wrote it, and which passages answer specific questions. The platform has created 242 resource articles — answer-first, GEO-optimized pages with JSON-LD, FAQ schema, and structured takeaways — and serves a 980 KB llms-full.txt file, the largest llms.txt in GEO SaaS, to AI engines.

Without answer-shaped content, entity coverage, and machine-readable schema, your citations website is optimized for a search behavior that no longer dominates. AI answer engines extract and cite content that is self-contained, entity-dense, and structured — not content written for a ten-blue-links page that buyers never scroll.

Citensity builds your citations website in three steps: Brand Memory scans your public site and builds a structured memory of what you do, who you serve, and the entities you own; Page Engine creates content and landing pages grounded in Brand Memory with structured data, entity coverage, and answer-shaped content; and AI Feed serves a machine-readable protocol (llms.txt) so AI engines know what to crawl and cite.

Brand Memory is the source of truth for everything the platform creates. It extracts your product names, buyer personas, proof points, and differentiators — then uses that memory to generate pages that reflect your actual offering, not generic filler. Page Engine produces cited-ready pages built for AI bots and human visitors: every page opens with a direct, self-contained answer, includes JSON-LD schema, and embeds FAQ blocks that AI engines can extract verbatim. The platform dogfooded this process — all 242 resource articles on Citensity's own site were created with the Page Engine.

AI Feed publishes an llms.txt file (980 KB) that tells AI crawlers which pages to prioritize, what entities you own, and how to cite your brand. This file is served at the root of your domain and read by AI engines during crawl. Analytics tracks everything AI bots and human visitors do on your site, so you see which pages get cited, which queries drive traffic, and which AI engines are crawling your content. The result is a citations website that ranks in Google and gets cited by ChatGPT, Perplexity, and AI Overviews — turning visibility into qualified leads.

A citations website is built for extraction and citation, not just ranking. Traditional SEO content targets keywords and backlinks; a citations website targets answer engines with self-contained passages, entity-dense copy, and structured data that AI systems can parse, verify, and quote. The difference is in the architecture: every section body starts with a direct definitional sentence that an AI agent can extract as a standalone answer without needing the heading or surrounding text.

Citensity's Page Engine produces pages with 100% JSON-LD coverage — every page ships Article, FAQPage, BreadcrumbList, and Organization schema. This structured data anchors your content in named entities (tools, platforms, standards, companies) so AI engines can fact-check and prefer your content over vague alternatives. The platform writes each passage to be self-contained: a reader or AI agent understands the passage without reading any other part of the page. No forward or back references, no "as we discussed" — just clear, quotable blocks.

Traditional SEO pages are written for human readers who scroll; citations websites are written for AI agents that extract. Citensity's 242 resource articles demonstrate this: answer-first structure, FAQ schema, JSON-LD on every page, and a 980 KB llms-full.txt file served to AI engines. The platform allows 20 AI crawlers and tracks 6 AI engines, so you know which systems are citing your content. The outcome is a citations website that ranks in Google and gets cited by AI answer engines — capturing qualified leads from AI search.

SEO and marketing managers at companies seeking to be cited by AI answer engines and capture qualified leads from AI search use Citensity to build their citations website. These teams are responsible for organic visibility and lead generation, and they face a clear problem: traditional SEO optimizes for results pages buyers skip, ranking #4 no longer wins the click, and manual, ad-hoc content creation takes weeks. They buy when buyers increasingly ask AI before opening search results, when they need to adapt to AI-first search behavior, and when they want to consolidate brand visibility across multiple AI engines.

Growth leaders and VPs of marketing accountable for pipeline and revenue impact use Citensity to turn AI traffic into qualified pipeline. Their pains include the need to prove ROI on content investments, leads from traditional SEO declining, and manual lead scoring and routing being inefficient. They buy when there's a shift in buyer behavior toward AI search, when they need an integrated platform versus multiple tools, and when there's pressure to demonstrate AI-era readiness. Citensity consolidates growth tools into one platform: Brand Memory, Page Engine, Leads (see every visitor, auto-filter spam, get alerted to leads that matter, and capture, score, and route qualified leads automatically), Analytics, AI Feed, and Content & Authority (backlinks, content refreshes, and optimizations on autopilot).

The platform is dogfooded — Citensity's own 242 resource articles, 100% JSON-LD coverage, 980 KB llms-full.txt, and 20 AI crawlers allowed are proof points that the system works. Companies that adopt Citensity publish optimized pages in minutes, not weeks, and get cited by ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, and Claude — turning visibility into qualified leads.

Getting started with Citensity takes three steps: the platform scans your public site to build Brand Memory, you define buyer-intent topics you want to own, and Page Engine continuously creates and publishes cited-ready pages. Brand Memory scans your public site and builds a structured memory of what you do, who you serve, and the entities you own — this becomes the source of truth for everything the platform creates. You don't write prompts or manage content calendars; the system learns your brand and generates pages grounded in that memory.

Once Brand Memory is built, you define the buyer-intent topics and questions your audience searches. Page Engine creates content and landing pages built for AI bots and human visitors: answer-shaped content with JSON-LD, FAQ schema, entity coverage, and self-contained passages that AI engines can extract and cite. Every page ships with 100% JSON-LD coverage — Article, FAQPage, BreadcrumbList, and Organization schema. The platform publishes an llms.txt file (980 KB) at the root of your domain, telling AI crawlers which pages to prioritize and how to cite your brand. AI Feed is your website's protocol for the AI era.

Leads captures, scores, and routes qualified leads automatically — you see every visitor, auto-filter spam, and get alerted to leads that matter. Analytics tracks everything AI bots and human visitors do on your site, so you know which pages get cited, which queries drive traffic, and which AI engines are crawling your content. Content & Authority runs backlinks, content refreshes, and optimizations on autopilot. The result is a citations website that ranks in Google and gets cited by ChatGPT, Perplexity, and AI Overviews — one engine, from cited to closed.