"Can I trust what I know about this brand?"
Pillar 01 of PAVA, Presence
Entity Graph is how we execute Presence: entity integrity, structured data, and brand-narrative consistency, made measurable.
See the PAVA Framework →
Approach / Entity Graph
Before AI can recommend you, it has to trust who you are.
Entity Graph is the foundation of the answer: Pillar 01 of PAVA made concrete, the entity layer of the AI Visibility Operating System, and the ground AI Citation Enablement practises on. We make the entity AI resolves you to clean, consistent, and verifiable, so everything you build on top of it compounds.
In Growth.pro engagements, entity-integrity work has been associated with citation-rate improvements of about 40% within 90 days, before any new content was created.
01: The trust gate
AI resolves you before it ranks anything.
When a buyer asks ChatGPT, Gemini, Perplexity, or Google's AI about your category, the model does not start with your content. It starts with a more basic question: which entity is this, and can I trust what I know about it. If your brand is inconsistent across the sources AI reads, your site saying one thing, LinkedIn another, the directories a third, the model either leaves you out of the answer or describes you with low confidence. No volume of content or PR spend overrides an entity AI cannot resolve.
73%
of brands ranking on Google page one have zero mentions in AI answers. Source: Wellows GEO Visibility Research, 2025.
89%
of Malaysian internet users use AI today. Source: Telenor Asia, Digital Lives Decoded 2025, n=1,000.
Entity Graph is the work of fixing what AI resolves you to, before you spend on everything built on top of it.
02: Where it sits
One foundation, three places it shows up.
Entity Graph is not a new framework. It is the concrete execution of a foundation already named across our methodology. It shows up in three places, under three different questions.
"What you commission."
The entity layer of the Operating System
The Operating System has five connected layers: entity, authority, visibility, amplification, measurement. Entity is the first. Entity Graph is how that layer gets built and operated.
See the architecture →
"What we practise."
The foundation AICE practises on
AI Citation Enablement makes expertise easy for AI to find, verify, and attribute. It can only do that once the entity is clean. Entity Graph is the ground the practice stands on.
See AI Citation Enablement →Presence is Pillar 01 for a reason. Authority, Visibility, and Amplification all compound on the entity AI resolves you to. Get the entity wrong, and every downstream investment in PR and content amplifies a brand AI cannot trust.
03: The five layers
Five layers of entity depth.
An entity AI can trust is built in five layers. Each answers a question the model asks before it cites you. Together they make your brand findable, verifiable, and accurately attributable, the three things AI Citation Enablement depends on.
01
Layer
Identity
"Who is this brand, exactly?"
One canonical, machine-readable definition of the brand: name, category, descriptors, and core facts, declared in structured data and consistent everywhere AI reads.
Enablesverify
02
Layer
Resolution
"Is this the same brand, or a different one?"
Disambiguation, so AI resolves you to a single entity node with no collision against similarly named companies, products, or people. One brand, one node, no confusion.
Enablesverify
03
Layer
Relationships
"What is this brand authoritative about?"
The connections that place the brand in its category: products, people, sectors, and the topics it has standing in, modelled so AI can reconstruct what you are a credible source for. This is what feeds Visibility.
Enablesattribute
04
Layer
Proof
"Does anything verify these claims?"
Schema declares; content proves. Every entity declaration is backed by on-page content that substantiates it, so the structured data and the human-readable site say the same thing.
Enablesverify
05
Layer
Retrievability
"Can AI actually fetch and read this?"
The technical conditions for retrieval: server-side rendering so crawlers see what users see, clean canonical and heading structure, and machine-readable access. If AI cannot retrieve it, none of the above counts.
Enablesfind, attribute
Identity and Resolution let AI trust who you are. Relationships let it reconstruct what you lead in. Proof verifies every declaration. Retrievability lets it find and attribute you at all. That is the full chain from unknown entity to trusted source.
04: Strategy and execution
We don't just find the gaps. We close them.
Most entity work ends at a diagnosis: a list of what is broken, handed back for someone else to fix. Growth.pro implements. The same team that maps how AI resolves your brand does the build: schema and @id architecture, sameAs and Wikidata alignment, internal-link structure, server-side rendering, llms.txt, and heading and canonical hygiene. Strategy and execution under one roof, which is the difference between knowing your entity is broken and having it fixed.
05: The proof
Entity work moves citation before content does.
The reason to start here is efficiency. Entity integrity is the rare lever that improves AI citation without the cost and lag of producing new content. In Growth.pro engagements, entity-integrity work has been associated with citation-rate improvements of about 40% within 90 days, before any new content was created. The before-and-after is measured on the same four metrics every engagement reports.
01
Brand Mention Coverage
The share of tracked queries in which the brand is named.
02
Citation Rate
The share of tracked queries in which the brand is explicitly cited or linked.
03
AI Share of Voice
The brand's share of category mentions against tracked competitors.
04
Average AI Ranking
Where the brand appears within the answers it is named in.
Documented results from Growth.pro engagements. Measurement across tracked category queries on ChatGPT, Gemini, and Perplexity (and Google AI Overviews and AI Mode where tracked) via proprietary infrastructure. Clients anonymised pending naming permission.
06: Why start here
Everything else amplifies the entity.
If AI cannot resolve or retrieve your entity, your content and your PR are invisible, no matter how good they are. A common example: a brand publishes excellent schema, but its site renders content client-side, so the AI crawlers that build the answer never see it. The schema is real. It is also unreadable. The brand pays for content and coverage that AI never attributes back to it. Entity Graph closes that gap first, so every downstream investment in Authority, Visibility, and Amplification compounds on a foundation AI trusts, instead of leaking through one it cannot read.
Entity Graph is on-site work, fully within Growth.pro's control. The earned pillars, Authority and Amplification, are executed by your PR and partner agencies on the merits of the work, guided by Growth.pro and measured against AI citation. The entity is the part we build directly, and the part everything else stands on.
Questions enterprise teams ask.
Is this just technical SEO?
No. Technical SEO optimises a page for ranking position on a results page. Entity Graph works on how AI resolves and trusts your brand as an entity, so it is cited inside the answer. Different mechanic, different outcome.
Isn't schema enough?
Schema declares; content has to prove. Marked-up data that the page does not substantiate, or that crawlers cannot retrieve, carries low confidence. Entity Graph aligns the declaration, the proof, and the retrievability together.
How is Entity Graph different from the PAVA Framework?
PAVA is the four-pillar methodology. Entity Graph is the concrete execution of its first pillar, Presence. It nests inside PAVA. It does not replace it.
Where does it sit in an engagement?
It is the foundation built first. Your starting position is benchmarked in the complimentary AI Visibility Audit, then built out through the fixed-fee PAVA Diagnostic and the retainer that operates the system.
The audit
See how AI resolves your brand today.
The complimentary AI Visibility Audit benchmarks how AI currently resolves, retrieves, and cites your brand, and where the entity is leaking. About a week. Board-ready. No sales pitch.
Request your audit