What is an entity, and why does it matter for AI visibility?
An entity is a named, uniquely identifiable thing — in this context, your business — that knowledge databases and AI engines use to represent your brand as a structured concept rather than just a string of text. When AI engines process queries, they resolve brand references to known entities, which allows them to draw on all the structured data associated with that entity. If your brand is not established as a recognised entity, or if your entity data is thin and contradictory, AI engines cannot confidently include you in their responses. Entity establishment is not optional for AI visibility — it is the starting point.
What is schema markup, and how does it connect to AI engines?
Schema markup is structured data code — usually JSON-LD — embedded in your website's pages that describes what each page contains using a standardised vocabulary from Schema.org. It tells AI crawlers and search engines whether a page is about a product, a service, an article, a FAQ, or an organisation. AI engines use schema markup alongside entity data to form a richer, more reliable understanding of your content. Invalid or missing schema means AI engines have to infer your page's meaning rather than read it directly — and inference is less accurate and less reliable than structured data.
Which 25 sources does the entity audit cover?
The 25 sources include Wikipedia (English and Nepali editions), Wikidata, Google Knowledge Graph, Google Business Profile, Crunchbase, LinkedIn Company Pages, Facebook Business Pages, industry-specific directories relevant to your category, Nepali government business registries, local news archives and press coverage, Apple Maps, Bing Places, industry association listings, review platforms, and additional structured databases that AI engines are known to consult during entity resolution. The exact source list is adapted to your business category and geography.
How long does the audit take?
The Entity & Schema Audit is completed within 7 to 10 business days from the date we receive your brand information brief. Delivery includes the full coverage map, schema crawl report, validation report, and priority fix roadmap. If your website is very large or your entity footprint is unusually complex, we will advise on timeline adjustments before starting.
What does the audit cost?
The Entity & Schema Audit is priced from NPR 45,000 for a standard business. Pricing varies based on website size and the complexity of your entity footprint. We provide a fixed-fee quote after a brief scoping call. There are no ongoing fees — this is a one-time diagnostic engagement.
What happens after the audit is delivered?
After delivery, you have three options. You can implement the priority fix roadmap using your own team or developer, referring to the detailed correction instructions we provide. You can engage Ignited Nepal to implement the fixes as a separate project, working through the roadmap in priority order. Or you can use the audit as the foundation for a broader AI visibility programme, feeding the findings into a GEO content strategy, entity building campaign, or brand answer accuracy work. The audit is designed to stand alone as a diagnostic, but it also integrates directly with every other AI visibility service we offer.
