Introduction: search engines no longer interpret only words, but things

Imagine a business whose website includes all important information: the company name, the list of services, the address and the phone number. This still does not guarantee that search systems understand exactly how these pieces of information are connected. Does the same company provide all services? Does the named expert truly belong to the organization? Does the listed address indicate the service area as well, or is it merely mailing information?

Traditional search engine optimization was long built primarily on keywords, links and technical factors. These are still important, but search systems — both Google and AI-powered answer generators — increasingly try to identify people, companies, places, services and the relationships between them.

According to Google’s official guidance, the foundational search engine optimization practices also apply to AI-powered search features. There is no special “AI trick”: indexability, technical accessibility, helpful content and clear information remain core requirements in the world of modern AI-powered search optimization. Entity optimization adds a new, increasingly important layer on top of this foundation.

What is entity optimization?

What does entity mean?

In simple terms: an entity is an independently identifiable person, organization, place, service, product or concept. It is not a keyword, but a “thing” about which the search system collects knowledge and stores relationships.

• OnlineMarketing101 is an organization entity.
• A company leader or expert is a person entity.
• AI-powered search optimization is a service entity.
• Budapest is a local entity.
• Search engine optimization as a professional topic is a conceptual entity.

What is the goal of entity optimization?

The goal of entity optimization is to ensure that the information found on the website and in external sources consistently describes the same real person, company, service or location. While a keyword strategy is about which words people use to search for you, entity optimization clarifies who you are, what you do, and where.

It is not enough, for example, to state that a business “works with search engine optimization.” It must be made clear:

• who provides the service;
• exactly what it includes;
• which target audience it was created for;
• which geographic area it is available in;
• which experts are connected to it;
• what evidence supports the expertise.

Entities also do not exist in a vacuum: they connect to topic areas. AI-based keyword clustering helps organize your content into topic groups that strengthen the professional context of your entities.

ORGANIZATIONOrganization signals: how can the business be clearly identified?

Consistency of the business’s core data

The foundation of an organization entity is consistency. The business name, official name, website address, logo, phone number, email address and physical address should appear in the same form on every important surface. If the search system sees five slightly different data sets in five different places, it becomes harder to decide whether they truly refer to the same company.

It is worth systematically reviewing the following surfaces:

• the homepage, contact page and about page of the website;
• social profiles and Google Business Profile;
• professional databases and company directories;
• partner pages and press appearances;
• author introductions on other websites.

Minor differences do not necessarily cause problems by themselves, but a name, address or service description that changes regularly can make identification uncertain for systems — and this weakens every other signal as well.

Organization schema markup

Organization structured data helps Google understand and distinguish the business. Google recommends providing data such as the name, alternate name, address, phone number, website address, logo and related online profiles. In practice, the following data should be included:

• official company name and brand name;
• website address and logo;
• year founded and contact details;
• social profiles;
• founder or leader;
• locations and service areas.

Schema markup alone, however, is not enough: structured data must always align with visible content. Proper technical search engine optimization ensures that the markup reaches search engines in an error-free, indexable form.

External organization validation

In addition to the claims on your own website, independent external mentions give real weight to the organization entity. These may include professional interviews, partner profiles, event pages, company databases, press articles and genuine customer reviews. The methodology of premium link building provides a predictable framework for building external professional mentions from high-quality, relevant sources.

PERSONPerson signals: the expert should be more than a name

Why is the author and expert person important?

AI systems must recognize not only what a piece of content is about, but also who is making the claim, what experience they have, and which organization they are connected to. There is a huge difference — in the eyes of both humans and machines — between an article signed by a faceless “admin” and content written by an identifiable expert with a documented professional background.

An expert profile should therefore not consist merely of a name and photo. It should include:

• full name and professional role;
• field of expertise and relevant experience;
• qualifications and publications;
• presentations and professional memberships;
• social and professional profiles;
• relationship to the organization.

Separate expert profile page

Important experts should receive their own indexable profile page. Articles, research, interviews, videos and professional projects connected to them should be reachable from there. This page becomes the “anchor” of the person entity: every other surface can point back to it.

Consistency is crucial here as well. The same name and the same profile page should appear in the author field of articles. It should not be “Róth Miklós” on one page, “Miklós Róth” on another, and only “admin” on a third — unless the relationship between name variants is clearly indicated.

Person structured data

In person schema markup, data such as name, job title, organization relationship, area of expertise and related external profiles can be provided. In the Schema.org system, a person can be connected to an organization, works, events and other entities as well — this makes the expert not an isolated data point, but an active node in the knowledge graph.

The easiest way to uncover whether author data, profile pages and markup are truly consistent is through a structured expert credibility review — one of the most important modules of a comprehensive SEO audit.

SERVICEService signals: what exactly does the business offer?

Clear definition of a service

The first paragraph of a service page should directly answer the most important questions: What is the service? Who provides it? Who is it for? What problem does it solve? Where is it available? What is the result? How can cooperation begin?

Avoid overly generic formulations such as: “we provide complex solutions for our clients.” This sentence carries no entity signal. Instead:

This single sentence contains the organization, the service, the target audience, the geographic focus and the desired result — in other words, five entity signals.

Separate page for every important service

Do not try to list the full offering on one single “Our Services” page. Important services should receive separate subpages, such as technical search engine optimization, content optimization, entity optimization, AI visibility audit, local search engine optimization, link building and content strategy. Each subpage defines an independent service entity, with its own goal, target audience and evidence.

Service relationships

Every service page should connect the service to the provider organization, the responsible expert, the target region, related case studies, customer reviews, frequently asked questions and relevant blog articles. The Schema.org Service type is designed exactly for describing this type of service — provided by an organization or professional.

We wrote in detail about how a well-built search engine optimization service fits into the search logic of the AI era on our page about the relationship between search engine optimization and artificial intelligence.

LOCATIONLocal signals: where does the business operate?

The local entity is not the same as repeating the city name

Local optimization does not mean placing the word “Budapest” in every paragraph. The goal is to prove that the business has a real relationship with the given geographic area — it operates there, serves clients there, and local community sources confirm this connection.

The most important local signals are:

• a real address or precisely defined service area;
• local phone number and consistent opening hours;
• accurate map data and Google Business Profile;
• local clients, references and reviews;
• local events and press appearances;
• settlement-specific service pages.

LocalBusiness schema markup

With LocalBusiness structured data, information such as address, geographic location, opening hours, phone number and business type can be provided. Google recommends using the most specific possible local business subtype — the more specific the category, the clearer the local entity becomes.

Managing multiple locations

If a business has multiple locations, each location should receive a separate page containing the location name, precise address, phone number, opening hours, map, local staff, services available there, directions and local references.

If strengthening a presence in the capital is the goal, the location-signal-based approach presented on our search marketing agency in Budapest page is a good starting point.

CONNECTIONConnecting the four entity layers

The real strength is not in the individual layers, but in their connection. Let’s look at a simple example: the organization is OnlineMarketing101, the person is the search engine optimization expert responsible for the service, the service is AI-powered search optimization, and the location is Budapest and Hungary.

The four elements should not appear as isolated pieces of information. The website should make it clear that the expert belongs to the given organization; the organization provides the service; the service is designed for a specific target audience and is available in a defined geographic area; the expert’s content proves experience in the topic; and external sources also confirm the relationship between the organization and the expert.

It is worth creating a similar entity map for your own business, where experts, services, locations, references, partners and publications are placed around the central brand. Content clusters support the same relationship-building process: around a main service page, you should organize articles that answer related questions and deepen the topic. Our AI-based keyword clustering guide provides the methodology for building entity maps and content clusters.

Technical implementation checklist

After the theory, let’s move to practice. By going through the interactive list below, you can assess your website’s current entity optimization status in a few minutes. Tick what is already in place.

Technical note: Google recommends JSON-LD format for structured data when the technical setup of the page allows it. Markup should always be tested with a structured data validation tool before publication. If you are not sure whether the current implementation is error-free, all technical and entity signals can be systematically reviewed as part of a comprehensive SEO audit.

How can the results of entity optimization be measured?

Entity work is not a matter of belief: it is measurable. The most important metrics are:

• change in branded search volume;
• searches for expert names;
• local appearances and map actions;
• external brand mentions, and the number and quality of referring pages;
• organic traffic to service pages;
• brand mentions appearing in AI system answers, and the share of incorrect or inaccurate AI answers;
• conversions from AI-powered and organic search channels.

Measurement should always begin with a baseline assessment before optimization — only then does improvement become visible. For tracking brand mentions in AI systems, we present a dedicated methodology in our article Measuring AI Brand Mentions.

Summary

Entity optimization is not limited to adding structured data. To succeed, the information on the website, internal links, author profiles, service pages, local data and external mentions must all communicate the same real-world picture. When this is built consistently, both Google and AI-powered search systems can identify the business with confidence — and recommend it with confidence.

Frequently Asked Questions

This guide is part of the OnlineMarketing101 AI-powered search optimization knowledge base. The recommendations it contains are based on Google’s official structured data and search documentation.