Waikay’s Entity Map Generator
Entity maps are hard to build and harder to get right. We do it for you.
Our experts – the founders of the EntityMap standard – create, review, and deploy a production-ready entity map for your site. You get measurable improvements in AI citation quality, fast.
AI is reading your site. It does not understand it.
When AI systems retrieve content from your site they read raw HTML and chunk it into passages – with no awareness of which entity a passage is about, how your concepts relate to each other, or who published it. Three things go wrong every single time.
Ghost Citations
AI uses your content to answer questions. Your URL appears as a footnote. Your brand name never appears in the answer. You get zero credit for content you spent months producing.
Fragmented Authority
“AI SOV”, “AI Share of Voice”, “artificial intelligence share of voice” – to an AI retriever these are three separate signals. Your expertise dilutes across fragments instead of concentrating on a single recognisable entity.
Wrong Pages Getting Cited
AI cites your broad guide pages instead of your product and feature pages. You get brand awareness citations instead of commercial ones. Your most valuable pages are invisible to AI retrieval.
Building a high-quality entity map requires deep knowledge of your site architecture, your entity graph, relationship typing, canonical URL selection, and the EntityMap specification itself. Done badly, it can make things worse. Done well, it takes weeks of skilled work. That is why we built a managed service.
We build it. You benefit.
Our experts take care of everything – from initial site analysis through to deployment and submission. You do not need to touch any JSON, understand the specification, or manage the technical implementation.
Get in touch for a quote
Tell us about your site and your goals. We will review your content, assess your entity landscape, and give you a clear quote with expected timelines. No obligation.
We map your most important pillar pages
Our team analyses your site architecture, identifies your key entities, maps the relationships between them, and selects canonical URLs for each one. We focus on the pages that drive commercial value – product pages, feature pages, decision-stage content.
Quality review against strict rules
Every entity, relationship, and source chunk is reviewed against our quality ruleset. Disambiguation is checked. Attribution is verified. Canonical URLs are confirmed. Nothing goes live that does not meet the spec.
We get it live on your site
We provide your production-ready entitymap.json and entitymap.html files, guide you through deployment, and handle Bing Webmaster Tools submission. Your entity map is live and discoverable by all major AI crawlers.
Ongoing management and updates
As your site grows we review new content, flag new entities for inclusion, and keep your entity map current. Managed plans include regular refresh cycles so your map never goes stale.
The founders of EntityMap. For your site.
EntityMap is an open standard created by the Waikay founders. Nobody understands the specification, the edge cases, and what makes an entity map genuinely effective better than the people who wrote it. When you work with us, you are working with the source.
We wrote the spec. We know every edge case, every relationship type, every quality rule. Your entity map will be built the right way, not a rough approximation.
We measure what works on waikay.io and across client sites. We bring that evidence directly to your implementation – not theory, but observed citation patterns.
Our process is built for speed. From initial brief to live deployment, we move quickly. Our case study shows measurable citation changes within weeks of deployment.
We prioritise BOFU pages: product pages, feature pages, decision-stage content. The goal is not more citations – it is more commercially valuable citations from the right queries.
What happened when we installed EntityMap on waikay.io
We installed EntityMap on waikay.io and tracked 19 weeks of Bing Webmaster Tools data – 11 weeks baseline, one change, 7 weeks post-install. No new content. No backlinks. No other changes. This is what happened.
What is EntityMap?
EntityMap is a free open standard – created by the Waikay founders – that gives AI systems a structured, attributed map of what your site knows. A file at your domain root that tells AI crawlers: here are our entities, here is how they relate, here is who published this.
The standard is free and open for anyone to implement. But building a high-quality entity map – one that actually moves the commercial metrics – requires expertise. That is what our managed service provides.
In 2005, sitemap.xml solved the discovery problem for search engines. Within two years every major CMS generated one automatically. EntityMap is the equivalent structured layer for AI retrieval – and just as the best sitemaps were built by people who understood crawl architecture, the best entity maps are built by people who understand AI retrieval.
What minimum implementation looks like
The bare minimum is three files and a footer link. Our managed service goes far beyond minimum – but for context, here is what the standard requires:
1. Publish example.com/entitymap.json at your domain root
2. Publish example.com/entitymap.html at your domain root
3. Reference the HTML file in your site footer so every AI crawler can find it from any page:
<footer><a href=”/entitymap.html”>EntityMap</a></footer>
The files themselves are just structure. The value comes from the quality of the entity graph inside them – the precision of your entity definitions, the accuracy of your relationship types, the correctness of your canonical URL selections, and the relevance of your source chunks. Getting that right is what our managed service is for.
Frequently Asked Questions
Pricing depends on the size of your site, the complexity of your entity landscape, and whether you need ongoing management or a one-off build. Get in touch via the quote form and we will come back to you with a clear proposal.
Our case study showed measurable citation changes within weeks of deployment on Bing. Other AI surfaces like Gemini and Sonar showed AI Visibility Score improvements within 48 hours. Results vary by site and AI surface, but the mechanism acts quickly once the entity map is live and submitted.
Yes, the EntityMap standard is free and open – anyone can implement it manually. But getting it right requires deep knowledge of the specification, careful entity selection, precise relationship typing, and correct canonical URL assignment. Our case study also shows that misconfiguration can cause important pages to drop out of the cited set. If you want fast, accurate results from the people who built the standard, the managed service is the right choice.
Any AI crawler that follows HTML links will discover and parse your entitymap.html file – including GPTBot, PerplexityBot, ClaudeBot, and GoogleOther. Our case study covers Bing Copilot data specifically, with a parallel study on Gemini and Sonar also showing positive results. The standard is designed to work with current and emerging AI retrieval infrastructure.
EntityMap directly addresses the retrieval-time component of ghost citations – where your content is used in AI answers but your brand name does not appear. Publisher attribution is declared on every chunk in a field designed to survive aggregation. It does not fix associations already baked into model training weights, but it solves the part any publisher can actually control.
Schema.org annotates individual pages with facts about the content on that page. EntityMap operates at the site level – declaring the full set of concepts a site covers, how they relate, and where the best evidence lives. It is a site-wide knowledge graph for AI retrieval, not page-level annotation. The two are complementary, not competing.
Get the founders of EntityMap working on your site.
Tell us about your site and we will come back with a clear quote. No obligation. Fast turnaround.
