Search Engine Optimisation (SEO) has a reputation for being arcane, overcomplicated, and frankly impossible to explain to your grandad when he asks, “what is it you do again?” for the hundredth time.
The irony is that one of its most important underlying principles in SEO is clarity. Many modern practitioners describe this as “entity SEO” or “entity-based” SEO.
So, what is entity SEO?
Entity SEO is the practice of making your brand unambiguously recognisable to search engines – not just through keywords, but through clearly defined identity:
- who you are
- what category you occupy
- what problems you solve
- how consistently that picture holds up across every corner of the web.
Search engines and Large Language Models (LLMs) try to resolve entities: real, distinct things in the world with relationships, attributes, and reputations. In fact, Google’s Knowledge Graph contains over 54 billion entities and 1.6 trillion facts. The clearer your brand’s identity, the more confidently these systems can retrieve, summarise, and recommend you.
That last point matters more than it used to. As AI-powered search – sometimes called Generative Engine Optimisation (GEO), AI visibility, or something else – becomes a bigger part of how people find and evaluate products, entity clarity has quietly become one of the strongest levers in organic visibility.
It’s important to say, however, that entity recognition has been a feature of how Google has processed information for years. Now, when ChatGPT or Perplexity decides whether to mention your brand in a response, it’s drawing on the same underlying logic that entity SEO has always tried to influence.
The principles of effective brand building have always been there. The stakes just got higher.
Why does entity clarity matter?
Most of what makes a brand visible to AI systems turns out to be the same thing that makes a brand easy to understand by humans. That’s either reassuring or a gentle indictment of how much corporate marketing has drifted from plain language.
Either way, here’s what it means in practice.
1. Unclear language is basically useless to LLMs
When AI systems process information about your brand, they’re attempting to resolve you as an entity – meaning to place you in a category, associate you with a problem, and build enough confidence in that picture to feel comfortable mentioning you in a response. Vague, abstract positioning language makes that job very difficult.
Consider a phrase like:
“We help organisations unlock synergistic value through next-generation workflow solutions.”
It tells an LLM almost nothing it can use. There’s no category, customer or problem being solved.
Now contrast that with:
“We provide software that helps small businesses manage invoices”.
This immediately creates a retrievable identity with comparison candidates, a use case, and an audience.
The second phrase is not more sophisticated. It’s just more honest about what the product does.
This has a direct practical implication. AI-powered answers all draw on sources that can be cleanly summarised. If your website, your PR, and your product descriptions are full of language designed to sound impressive rather than communicate clearly, you’re essentially making yourself harder to cite.
Entity-based SEO starts with the uncomfortable question of whether your current messaging actually says anything (Psst…our brand language specialists can help with that.)
2. Clarity compounds across digital channels
Entity-based SEO has never really been just about your website. Search engines have always synthesised signals from reviews, press coverage, directories, and third-party mentions across the web to build a picture of what you are.
AI systems do the same thing, just with a much wider net. Forum threads, podcast transcripts, GitHub repositories, LinkedIn posts, Reddit discussions. Any form of trusted, structured information across the public web. It all feeds in.
The practical implication is that inconsistency is expensive. If your website calls your product one thing, your PR calls it another, and your LinkedIn bio describes the company completely differently, the model’s confidence in you weakens. Not dramatically in any single instance, but cumulatively.
Zapier is a useful B2B example here – across virtually every context you encounter it, the framing is consistent: it’s all about automation. That coherence isn’t accidental, and it compounds over time.
Simply creating more content isn’t the answer. It’s about making sure that whatever content already exists is telling a consistent, legible story. That’s one of the most reliable signals you can build.
One common objection here is that not every company can afford to own a specific niche. If you operate across multiple verticals or product lines, artificially compressing your identity feels dishonest and commercially risky. Fair point.
But the answer isn’t to become vaguer; it’s to be deliberate about where you concentrate your entity-building efforts first. Pick the category or use case where you have the most authority and make sure the signal around that is as strong and consistent as possible.
You can always expand from a position of clarity. It’s much harder to do it from a position of noise.
3. Entity recognition is anchored in trust and authority
On one hand, AI systems look for clarity. On the other, they look for corroboration. A clean, well-defined brand identity that only exists on your own website works against this.
What builds retrieval confidence is when multiple trusted, independent sources describe you in roughly the same terms. Analysts, journalists, review platforms, technical communities, industry podcasts – when these start to converge around a consistent picture of who you are, models begin to treat that picture as reliable. This is what the concept of “distributed consensus” means in practice.
It’s also where digital PR becomes an essential input to entity-based SEO. A mention in a reputable industry publication does something more than drive awareness or referral traffic. It adds another data point to the machine-readable consensus around your brand.
The same is true of a founder interview on a well-recognised podcast, a category mention in an authoritative analyst report, or consistent five-star reviews on G2 that use your preferred product language. Each one is a small vote in favour of a specific, legible identity.
The practical implication is that entity SEO requires two parallel efforts:
- Getting your own house in order – making sure your messaging, metadata, documentation, and owned content all tell a consistent story.
- Proactively building the external signals needed for distributed, third-party reinforcement.
Brands that understand this stop thinking about PR and content as separate workstreams and start treating them as parts of the same brand-building programme.
It’s no coincidence that the companies that are winning in AI search today are the ones that started integrating their PR, SEO and social media efforts years ago.
Our top five entity SEO tips: how to create clarity from complexity
Look, none of this happens quickly.
Entity SEO and GEO visibility are compounding disciplines. The work you do today is unlikely to show up in ChatGPT’s recommendations next Tuesday – unless you’re operating in a category so specific that the model has no other option (dairy-free iced vanilla lattes made exclusively for dogs, say, and even then, good luck!).
Anyone telling you otherwise is either mistaken or trying to sell you something. But you do have to start somewhere, and these five actions will put you on the right track.
1. Get your website language right first
Before anything else, look at your homepage, your product pages, and your about page with fresh eyes. Do they clearly state what you do, who you do it for, and what problem you solve?
If someone who knew nothing about your industry read it, would they understand? If the answer is no, this is your starting point. Everything else builds on it.
2. Audit your presence across key digital channels
Check how your brand is described on LinkedIn, in press coverage, on review platforms like G2 or Capterra, and in any third-party content you can find. Look for inconsistencies in naming, category language, and product terminology.
You’re trying to identify where the signal breaks down, so you can start bringing it into alignment.
3. Think about your people as entities, not just your organisation
Google’s E-E-A-T framework, which stands for Experience, Expertise, Authoritativeness, and Trustworthiness, places increasing weight on the credibility of the humans behind a brand, not just the brand itself.
Founders, executives, and subject matter experts with well-developed online presences, published content, and consistent professional profiles all contribute to your overall entity authority. Your people are part of your brand’s retrievability.
4. Experiment with structured data and internal linking
Structured data (schema markup) helps search engines explicitly understand what your pages are about. It’s worth implementing, though its direct impact on AI visibility isn’t fully proven.
Think of it as a light technical lift that helps to tidy up the information architecture without any real downside. Internal linking is arguably more impactful, since a well-linked site helps both search engines and AI systems understand the relationships between your content, your products, and your areas of expertise.
5. Work with an agency that genuinely integrates brand strategy, content, PR, and SEO
Entity-based SEO doesn’t sit neatly inside any one discipline. It needs strategic brand thinking, editorial output, earned media, and technical execution to work in harmony.
A specialist SEO agency won’t get you there on its own, and neither will a pure play PR firm. The compounding visibility gains come from treating all of these as parts of a single, coordinated programme.
Trying to create clarity from the complexity that is SEO, GEO, and all things AI search?
How about one of our brand-new AI visibility audits? After all, you don’t know what you don’t know.
Until next time.
Written by Matthew Robinson, Senior PR and SEO Strategist on 18/06/2026
