Entity SEO vs Keyword SEO Explained

Keyword SEO is about matching the words people search for, so a page ranks for a phrase like “accounting software for freelancers”. Entity SEO is about helping search engines and AI understand a thing, such as your company, product or founder, and its relationships, so it is recognised whatever words are used. AI assistants lean heavily on entity understanding, which is why entity SEO has become much more important.

What keyword SEO does

Keyword SEO starts with research. You find the phrases your customers type, check how many people search them, and create pages that use those phrases in titles, headings and text. It works well for classic search results, where a list of ten links is matched to a query.

Its limits show up with AI. An assistant does not need your exact phrase. A user might ask “what’s a simple tool to send invoices if I work alone?” and the answer could recommend products that never use those words.

What entity SEO does

An entity is a clearly defined thing: a company, a person, a place, a product. Search engines store entities in knowledge graphs with facts and links between them. For example: “Brand X” is a company, founded in 2019, based in Berlin, makes invoicing software, competes with Brand Y.

Entity SEO tries to make those facts clear and consistent so systems can connect every mention of you to the same entity. Our page on how knowledge graphs influence AI search goes deeper into this.

Side-by-side comparison

• Main unit: keyword SEO works with phrases; entity SEO works with things and facts.
• Main signal: keyword SEO relies on on-page wording and links; entity SEO relies on consistent facts across many sources.
• Typical tools: keyword research, title tags, internal links versus structured data, profiles, directories, mentions.
• Best for: keyword SEO for ranking pages in classic search; entity SEO for being understood and named in AI answers and knowledge panels.

Why AI assistants care about entities

When ChatGPT, Gemini or Claude recommends a company, it has to be fairly confident that the company exists, what it does and who it serves. That confidence comes from seeing the same facts in many places: your site, LinkedIn, review platforms, news, directories. If your company is described as “a marketing agency” on one site, “a software firm” on another and has two different addresses, the entity is blurry, and AI may skip it or describe it wrongly.

How to build entity SEO in practice

1. Define the entity. Write one clear sentence about what you are: “Brand X is an invoicing app for freelancers in Europe.”
2. Add structured data. Use Organization, Product and Person markup with sameAs links to your official profiles.
3. Align your profiles. Make LinkedIn, Google Business Profile, Crunchbase and industry directories match your website.
4. Earn mentions in context. Being named in articles and comparisons next to your category (“invoicing tools”) teaches systems what you belong to.
5. Connect people to the brand. Founders and experts with clear author pages strengthen the link between a person and a company.

You still need keywords

Entity SEO does not replace keyword work. Keyword research tells you which questions people ask, and those questions shape the content AI can cite. The difference is that you write to answer the question fully, not to repeat a phrase. Our guide to keyword research for AI queries explains how to find conversational questions.

How Keboost helps

Keboost shows which prompts mention your brand and your competitors across AI assistants, and how each model describes you. That makes entity gaps easy to see, such as a wrong category or missing product. It then creates and distributes content that states your facts consistently, which improves the chances AI recognises and cites you. Run a free AI visibility check to see where you stand.