An entity definition is a clear, authoritative description of your brand that search engines and AI systems can use to understand who you are, what you do, and which topics you are associated with. Writing it well is the single most important starting point for any entity SEO or AI visibility strategy. A well-written entity definition, deployed consistently across every platform you appear on, becomes the canonical source AI systems draw from when describing your brand.
The question I find most revealing when starting a new client engagement is this: “If I asked ChatGPT to describe your brand, what would you want it to say?” Most marketing teams have a clear intuition about the answer. The problem is that nobody has written that description in a form that AI systems can actually find, read, and trust.
That is what an entity definition is for.
I developed the entity definition framework through trial and error across a series of client implementations. The first few attempts were too long and too nuanced, they read well for humans but were too dense for AI systems to extract a clean description from. The later versions that worked consistently were shorter, more specific, and structured around three things: what the brand does, who it does it for, and what makes its approach distinctive. That three-part structure is the core of the framework I now use in every entity SEO engagement.
What is an entity definition and why does it matter?
An entity definition is a 100 to 200 word description of your brand that answers three questions with complete clarity: what does this organisation do, who does it serve, and what is distinctive about its approach or expertise. It is the authoritative description that you control, deploy consistently, and want AI systems and search engines to use when they describe your brand.
It matters because, in the absence of a clear entity definition, AI systems construct their own description of your brand from whatever sources they have encountered. These self-constructed descriptions may be incomplete, outdated, or simply wrong. A clear entity definition, placed in the right locations across the web, becomes the canonical source that overrides these inferred descriptions. Over time, AI systems learn to describe your brand using your language rather than approximated language.
What are the three components of an effective entity definition?
What you do, stated specifically. Not “we help businesses improve their online presence”, that describes thousands of companies and distinguishes none of them. Specific: “Sticky Frog is a search visibility consultancy that helps marketing teams build brand authority across AI search systems, including ChatGPT, Gemini, and Perplexity, through entity SEO, content structure, and distributed recognition strategies.”
The specificity matters for entity disambiguation. If your description could apply to ten competitors, search systems have no basis for distinguishing your entity from theirs. The more precisely you define your specific approach, the more clearly the system understands your unique position.
Who you serve, stated precisely. Not “businesses of all sizes”, this is meaningless. Precise: “Marketing Directors and Heads of Marketing at mid-market and enterprise organisations who need to understand and respond to the shift from traditional SEO to AI-driven search visibility.” This defines the audience clearly enough that AI systems can match your entity to relevant queries from that audience.
What makes your approach distinctive. The proprietary element. This is where your frameworks, methodologies, and named concepts belong. “Jason Morris developed The Human Algorithm framework to help brands build the entity authority, passage retrieval structures, and distributed recognition signals that determine AI search visibility.” A named, original methodology is the strongest possible distinguishing signal. AI systems can point to a source of truth for a concept in a way they cannot for generic expertise.
Where should your entity definition be deployed?
Consistency across platforms is the mechanism through which an entity definition becomes a recognised signal rather than just a website description. Every platform where your brand appears should use the same definition, adapted in length for the platform’s constraints but consistent in substance.
Website homepage: The full 100 to 200 word version, visible in the hero or about section, and mirrored in the description field of your Organisation schema.
LinkedIn company page: The About section should use the same language. LinkedIn is heavily weighted in AI training data. The description AI systems find there should reinforce the description they find on your website.
Google Business Profile: The business description field should be a concise version of the same definition. Google Business Profile is a direct entity signal for Google’s Knowledge Graph.
Wikipedia and Wikidata: If your brand has a Wikipedia page, the opening description should use the same language. Wikidata’s description field (typically a brief phrase) should be consistent with the broader definition. Both are heavily trusted sources in AI training data.
Industry directories and profiles: Crunchbase, Companies House, industry association directories, speaker profiles. Each is a signal that your entity exists and is active in your field. Consistent language across all of them strengthens the pattern recognition.
Author bios: Every article you publish, on your own site or as a guest contributor, should include an author bio that reflects the entity definition. This connects the human expertise (Person entity) to the organisational entity in a way that reinforces both.
How do you write a Person entity definition for a founder or expert?
If your brand is built around a founder’s expertise, as Sticky Frog is, you need both an Organisation entity definition and a Person entity definition for the founder. These work together: the Person definition establishes the human credibility, the Organisation definition establishes the brand entity.
A Person entity definition follows the same three-part structure: what this person does (specifically), who they serve, and what is distinctive about their expertise. Add to this: relevant experience and credentials stated as facts (not as superlatives), named organisations they have worked with (enterprise clients are particularly powerful entity signals because they are well-known, verified entities themselves), and the proprietary framework or methodology they have developed.
The Person definition should appear in the founder page on your website, your LinkedIn profile headline and About section, speaker bios, podcast guest descriptions, and the founder field of your Organisation schema. Consistency across all of these is what turns an individual’s reputation into a machine-readable entity signal.
What mistakes should you avoid when writing an entity definition?
Generic language is the most common failure. Phrases like “passionate about helping businesses grow,” “leading provider of,” “innovative solutions,” and “client-focused approach” are meaningless to AI systems because they are present in millions of other brand descriptions. They provide no disambiguation signal.
Keyword stuffing is the second common failure. An entity definition is not a piece of SEO copy designed to rank for specific terms. It is a description designed to be understood, trusted, and used by AI systems. Natural language that clearly describes reality is more effective than language engineering for keyword density.
Inconsistency across platforms undermines the signal. If your website says one thing, your LinkedIn says something slightly different, and your Google Business Profile says something else, AI systems cannot confidently resolve which description is authoritative. They either average across the descriptions (producing a mediocre composite) or default to the source they trust most, which may not be your own website.
For the technical implementation that makes your entity definition machine-readable across search systems, see the Organisation Schema Complete Guide. For the broader strategy around entity SEO, What Is Entity SEO covers the full framework. The complete strategic context is in the Search Visibility Framework. A free Search Visibility Snapshot includes a review of how AI systems currently describe your brand and where the entity definition gaps are.
Frequently Asked Questions
What is an entity definition in SEO?
An entity definition is a clear, authoritative description of your brand that search engines and AI systems can use to understand who you are, what you do, and which topics you are associated with. It is deployed consistently across your website, Organisation schema, LinkedIn, Google Business Profile, and other platform presences to ensure AI systems describe your brand using your language rather than approximated descriptions constructed from fragmented signals.
How long should an entity definition be?
100 to 200 words for the full version used in Organisation schema and the website About section. 50 to 80 words for abbreviated versions used in platform profiles like LinkedIn and Google Business Profile. The length should reflect the platform constraint rather than arbitrary editing, the substance should be consistent across all versions even when the length varies.
What should an entity definition include?
Three components: what your organisation does stated specifically (not generically), who it serves stated precisely (not “businesses of all sizes”), and what makes its approach distinctive, including any named proprietary frameworks or methodologies. These three elements provide the disambiguation signals that allow AI systems to distinguish your entity from competitors with similar offerings.
How do I know if my entity definition is working?
Test it by asking ChatGPT, Gemini, and Perplexity to describe your brand. Compare the AI descriptions to your entity definition. If they are consistent, the definition is working. If the AI descriptions are vague, inaccurate, or describe a different positioning, there is a gap between your entity definition and the signals those systems are finding. The goal is for AI descriptions to increasingly reflect the language of your definition over time.
Should my entity definition be the same as my brand tagline?
No. A brand tagline is designed to be memorable and emotionally resonant for human readers. An entity definition is designed to be clear, specific, and unambiguous for machine interpretation. The two serve different purposes. Your tagline might be “Search Visibility in the AI Era.” Your entity definition is the 150-word description that explains precisely what that means, who it is for, and why your approach is distinctive.
Founder & Author within Sticky Frog and creator of The Human Algorithm. 15 years of SEO experience spanning early-stage startups, scale-ups, and enterprise brands including Toyota Europe, Bupa, EY, Citibank, Deliveroo, and American Express, he specialises in AI search visibility, entity SEO, and search strategy for the era where clicks are declining but influence is not. Get found for what you do best.