"Can I trust what I know about this brand?"
Pillar 01 of PAVA, Presence
EntityWorks is how we execute Presence: entity integrity, structured data, and brand-narrative consistency, made measurable.
See the PAVA Framework →
Approach / EntityWorks
Before AI can recommend you, it has to know who you are.
EntityWorks™ is Growth.pro's system for making sure AI platforms know exactly who your brand is. It is Pillar 01 of PAVA made concrete, the entity layer of the AI Visibility Operating System, and the foundation AI Citation Enablement stands on.
When AI gets your identity wrong, nothing tells you. There is no error message. There is just an answer that leaves you out, describes you wrongly, or names a competitor instead, across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. EntityWorks finds where that is happening, fixes it, and keeps it fixed, with proof for every claim.
In Growth.pro engagements, this identity 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 decides who you are 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 a brand AI cannot recognise.
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.
EntityWorks is the work of fixing who AI thinks you are, before you spend on everything built on top of it.
EntityWorks is the system that answers that question deliberately: get known correctly first, so everything you build on top of it counts.
02: Where it sits
One foundation, three places it shows up.
EntityWorks 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. EntityWorks 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. EntityWorks 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 who AI thinks you are. Get the identity wrong, and every downstream investment in PR and content amplifies a brand AI cannot trust.
03: The diagnosis
Four ways AI gets a brand wrong, and the names we give them.
Every EntityWorks finding names one of four failures. Naming the failure is half the fix: it tells you what went wrong, why the AI answer came out the way it did, and what repairs it.
Collapse
AI reduces your whole organisation to the one thing it knows you for. Divisions that exist in your page copy but not in your machine-readable labels simply vanish from their own categories.
Leakage
Everything AI knows about you points at head office. Ask about your brand in a specific country and AI answers with the wrong company, the wrong prices, or the wrong availability.
Fragmentation
Your pages describe you one way, your country sites another, your directories a third. AI cannot tell they are the same company, so it either makes something up or says nothing.
Variant collapse
Your whole product range looks like a single product to AI, so individual models never appear in answers about them.
Most brands are living with at least one of these right now, and none of them shows up as an error. They show up as answers that name someone else.
04: The EntityWorks Audit
We audit what AI sees, not what your browser shows you.
Here is the uncomfortable part. The AI systems that read your website do not see the polished page in your browser. Many of them read the raw page, before any scripts run. If your identity information is added by scripts after the page loads, those AI systems never see it. It exists, and it is invisible.
Most audit tools check only the finished browser view, so they will happily certify an invisible site as healthy. The EntityWorks Audit looks at both: the raw page exactly as AI fetches it, and the browser view only to measure the gap between the two. Across ten large multinational-brand sites we reviewed while developing the method in 2026, not one showed its identity information in the raw view.
How you fill in your labels matters more than whether you have them.
Structured data, the machine-readable labels that tell AI who you are, only helps when the labels are actually filled in. An independent 2026 study of 730 AI citations found that pages with fully filled-in product or review details were cited noticeably more often than pages carrying only generic, empty labels, 61.7% versus 41.6% (Fischman / Growth Marshal, 2026). The same researchers note that page ranking remains the stronger factor overall, so this is one signal among several, not a shortcut. It is the reason EntityWorks never ships a label that is not properly filled in.
Four checks before a single finding.
Four things get verified before we report anything else, because if any of them fails, nothing downstream matters: can AI systems actually reach your pages, does the raw page carry your identity information, is there one official description of your company rather than several competing ones, and is your brand getting confused with a similarly named company. Only then do findings get reported, ranked by how much each one matters, with the highest-impact fixes first.
Every finding comes with proof.
Every claim in an EntityWorks report cites the exact page it was found on. What we observed is kept separate from what we inferred. Nothing is ever made up: if a fact about your company cannot be verified, it is marked for you to confirm, not invented. And every fix describes what is genuinely true about your brand, because Google's own guidance requires the machine-readable labels to match what the page visibly says. We make the truth about your brand easy for AI to find and verify. We do not game the system.
05: The five layers
Five layers of entity depth.
The five layers below describe the end state: what your brand looks like to AI when the four failures are fixed, and AI can find you, verify you, and credit you accurately.
01
Layer
Identity
"Who is this brand, exactly?"
One official, 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 never confuses you with anyone else. 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 page 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.
06: Keeping it right
Fixing a page is a project. Keeping your identity right is the ongoing work.
For a group with multiple divisions, brands, and country sites, EntityWorks builds one master record of who you are: the official description of each company, each brand, and each market, written once and used everywhere. Every page, in every country, tells AI the same story.
The record enforces the rules that keep the story consistent. Your identity stays identical across markets while the local details, language, currency, contact information, adapt. Related companies stay clearly separate so AI never blends a subsidiary into its parent or a sister company into you.
Every fix ships as its own change, so when your AI visibility improves, you can see exactly which fix produced it. That upkeep is what the Foundation retainer carries month to month, and what the Custom Program extends across whole corporate groups and countries.
07: 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 page hygiene. Strategy and execution under one roof, which is the difference between knowing your entity is broken and having it fixed.
That is the promise in the name. EntityWorks is not a report; it is your identity, working.
08: 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.
09: 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. EntityWorks 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.
EntityWorks 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.
What is EntityWorks?
EntityWorks is Growth.pro's system for making sure AI platforms know exactly who your brand is. It audits where AI gets your identity wrong, names the failure, fixes it on your own website, and keeps it right over time. Every finding comes with proof, and the only numbers reported are measured results. It is how Growth.pro delivers Pillar 01 of the PAVA Framework, Presence.
How is EntityWorks different from schema plugins and entity tools?
Three ways. EntityWorks audits the raw page AI systems actually read, where most tools check only what your browser shows. EntityWorks fills in and connects the machine-readable labels properly, where most sites carry empty ones, which independent research links to meaningfully higher citation rates. And EntityWorks reports the measured change in your AI visibility, never an invented "entity health score."
Is this just technical SEO?
No. Technical SEO optimises a page for ranking position on a results page. EntityWorks 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 (the machine-readable labels that tell AI who you are) declares; content has to prove. Marked-up data that the page does not substantiate, or that crawlers cannot retrieve, carries low confidence. EntityWorks aligns the declaration, the proof, and the retrievability together.
How is EntityWorks different from the PAVA Framework?
PAVA is the four-pillar methodology. EntityWorks 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