Bagasse Packaging UK: a B2B supplier site measured over ten months, including the AI-feature decline
Google clicks per month
28 before, 129 after.
Source: Search Console, web search · Jan vs Sep 2026
Organization and founder entities, consistent naming across profiles, and structured data that matches what's on the page.
Delivered by the AISEOExpert team, who do the work themselves.
Method stages this service covers
Entity SEO is the work of making your organization, founder and services unambiguous to search engines and AI systems: one name, one description and one set of facts, repeated identically on your site, on your profiles and in structured data. It covers an entity sheet that states the facts once, a consistency audit of profiles and directories with corrections, Organization and Person schema that matches the visible page, and monitoring of how assistants describe the company. The aim is that a system can tell you apart from similarly named companies and describe you correctly.
The problem
Search engines and assistants confuse your company with another, describe it with outdated facts, or can't connect the brand, the founder, the products and the profiles into one entity.
We define the entities, make every public source agree, and add structured data that matches the visible page so machines can resolve who you are.
A similarly named business or an old brand appears in answers about you.
Old location, old founder title, a product that was renamed years ago.
LinkedIn, Crunchbase, directories and the site describe the company differently.
Structured data claims things the page doesn't say, or is missing where it matters.
Assistants build their picture of a company from many sources. When those sources disagree, answers get vague or wrong. Entity work makes the sources agree and gives machines explicit, matching signals on your own site, such as structured data and sameAs links.
Entity SEO lives in the Understand and Trust stages of the Crawl-to-Citation Method. We practise it on this site: the About page publishes the same company facts that appear in our structured data.
How we approach it
We define the entity first, then make every profile and every page agree with it. Each step ends with a check we can show you.
See the full methodCompany, founder, products, services and their relationships, written once as the source of truth.
Profiles, directories and partner pages updated to the same name, description and URL.
Only for what the page shows; stable identifiers; one graph per page.
Sampled prompts asking what the company is and does, checked for accuracy.
What you get
Every fact has one canonical version, with the profiles and markup that should carry it.
Canonical names, descriptions, relationships and identifiers
How we measure it
We record how assistants and search engines describe the company before any change, then check the same sources afterwards.
Source: Sampled AI prompts, scored against the entity sheet
Source: Profile audit
Source: Schema validation and Search Console enhancement reports
Source: Google Search Console
Proof
Each result states the baseline, the time window and what we can't attribute to our work.
Google clicks per month
28 before, 129 after.
Source: Search Console, web search · Jan vs Sep 2026
It covers all six method stages, so entity issues are ranked against everything else before you commit to a sprint.
Book the diagnosticStraight answers to what buyers ask us most.
Still have questions? Book a callNot necessarily. Consistent first-party facts and aligned profiles do most of the work. We'll say if a Wikidata item is appropriate and how to do it properly.
No. Structured data helps when it matches the page and the wider web agrees. Markup alone doesn't create an entity.
Yes. Assistants describe companies from the sources they retrieve; when those sources agree, descriptions are more accurate.
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