Entity Optimisation Agency for Better AI VisibilityMake AI Choose You First
Entity Optimisation
Search engines used to rank pages. Increasingly, AI systems choose brands, deciding who to cite, recommend, and trust when someone asks ChatGPT, Gemini, or Perplexity a question. That decision is built on entities, not keywords.
Propeller builds your brand into the entity infrastructure AI systems rely on: Google’s Knowledge Graph, Wikidata, and the structured data that determines whether an AI model recognises your brand at all. We’ve spent 25+ years building the technical and content foundations that make brands discoverable, and we’re applying that same depth to how AI systems verify and cite you today.
Our Entity Optimisation Solutions
Advanced Schema Markup Implementation
We audit your site, map entities, and implement precise Schema.org markup with nested entity graphs, cross-referenced @id properties, and sameAs declarations linking out to verified profiles. Propeller validates markup, fixes conflicts, and synchronises data with sitemaps. Result: rich result eligibility, cleaner crawling, and clearer entity signals for ChatGPT and Gemini.
Wikidata & Knowledge Graph Optimisation
Establish a canonical, verified profile for your brand. We complete Wikidata properties, name, description, identifiers, website, founders, categories, align KGMID references, and resolve duplicates. Then this data aligns with Google’s Knowledge Graph and relevant industry databases. Result: a completed entity profile, verified external linkage, and monitored Knowledge Panel health.
Citation Building & Entity Authority Signals
This isn’t generic link building, it’s structured signal amplification tied to how knowledge graphs verify brand identity. We run a citation footprint audit, review NAP consistency, normalise anchor text, and assess entity disambiguation risk, then target acquisition of high-authority brand mentions. Result: clearer authority signals and dependable visibility across search and AI systems.
Strategic Entity Architecture
Before any technical work begins, we map your brand, service, people, and location entities to build a complete, unambiguous picture of who you are. This strategic foundation is what every other service in this list builds on.
LLM Visibility & Retrieval Optimisation
AI systems surface brand information two ways: from what they learned during training, and from real-time web retrieval when you ask a live question. We optimise for both, tailored to how ChatGPT, Gemini, and Perplexity each retrieve and verify information, so your brand shows up accurately whichever route the answer takes.
AI Citation Monitoring & LLM Visibility Tracking
Implementation isn’t the end of the work, it’s the start of measuring it. We track AI Overview citation frequency, Knowledge Panel accuracy, and entity attribute consistency, prompt-testing across ChatGPT, Gemini, and Perplexity monthly. This turns a one-off project into an ongoing, measurable commercial advantage.
Why Brands Choose Propeller for Entity Optimisation
Entity work only matters if it’s built by people who understand both the technical foundations and the AI systems reading them.
Built for Google AI Overviews, ChatGPT & Perplexity
Our methodology is designed around how each AI platform actually retrieves and verifies brand information, not a generic entity checklist applied everywhere the same way. We understand the full AI search ecosystem, not just classical Google SEO.
Integrated with SEO, Content, Digital PR & Technical Delivery
Entity architecture strengthens everything else you’re already investing in. Backlinks become co-citation signals, content clusters become topical entity hierarchies, PR mentions register as authority signals, and technical SEO improvements make your entity data more crawlable. This isn’t a bolt-on service, it’s infrastructure that amplifies your whole marketing stack.
Technical Depth Most Agencies Don't Reach
Many agencies stop at basic schema markup. We work across Wikidata, Google’s Knowledge Graph, and the Knowledge Vault, mapping entities at every layer AI systems check before they decide whether to trust and cite your brand.
A clear four-stage process, from diagnostic through to ongoing measurement.
Our Entity Optimisation Process
Stage 1: Entity Audit & Knowledge Graph Diagnostic
We audit your current entity presence across Google’s Knowledge Graph, Wikidata, and structured data on your site, then flag duplicates, gaps, and inconsistencies. You get a clear picture of how AI systems currently see your brand, and exactly where that picture breaks down.
Stage 2: Entity Architecture Design & Schema Blueprint
We design the entity architecture and schema structure that closes those gaps, mapping brand, service, people, and location entities into one coherent system. You get a blueprint that every technical and content decision afterwards is built against.
Stage 3: Citation Network Deployment & Authority Signal Amplification
We implement the schema, verify Wikidata and Knowledge Graph profiles, and build the citation network that reinforces your entity across the web. You get a measurable increase in consistent, high-authority references to your brand.
Stage 4: AI Visibility Measurement & Ongoing Optimisation
We track Knowledge Panel accuracy, citation frequency, and entity consistency across ChatGPT, Gemini, and Perplexity every month, adjusting the approach as AI platforms evolve. You get an ongoing report showing how your AI visibility is actually changing over time.
Sectors We Support
Hospitality
Multi-location brands need consistent entity data across every venue, from LocalBusiness schema to Google Business Profile alignment, so AI systems recognise each site as part of one coherent brand rather than treating them as unrelated listings.
Food & Drink
Menu items, dietary information, and location-specific offers all need structured, machine-readable data so AI systems can answer specific customer questions accurately, not just recognise the brand name.
Travel
Entity consistency across destinations, packages, and booking information helps AI systems recommend the right option confidently, rather than defaulting to better-known competitors with cleaner entity data.
Entity authority compounds over time, unlike keyword rankings, which shift with every algorithm update. Here's what that looks like in practice.
What Entity Optimisation Delivers
- A verified, deduplicated entity profile across Google’s Knowledge Graph and Wikidata
- Cleaner crawling and higher eligibility for rich results
- Reduced risk of AI systems misrepresenting or omitting your brand
- Consistent brand references across every AI platform your customers use
- Stronger co-citation signals from backlinks, PR mentions, and content clusters
- A completed, monitored Knowledge Panel
- Clearer entity confidence scores in systems like ChatGPT and Google
- Citable, machine-readable content that AI systems can reference with confidence
- Monthly visibility into how your entity data is performing across platforms
- Entity authority that compounds over time, rather than fluctuating like keyword rankings
- Stronger Presence in Google Knowledge Panels & AI Overviews:
Entity authority is what drives inclusion in both. We evaluate entity completeness, citation density, and schema consistency- the specific signals that determine whether your brand gets a populated Knowledge Panel and regular inclusion in AI Overviews.
Consistent Brand Representation Across AI Platforms
This is protection as much as growth. Strong entity architecture means ChatGPT, Perplexity, Claude, and Gemini all describe your brand accurately and consistently, rather than AI systems guessing or getting it wrong when your entity data is incomplete.
Client Results & Proof
Got questions? We’ve got answers
Entity optimisation is the practice of defining and reinforcing your brand as a clear, verified entity across Google’s Knowledge Graph, Wikidata, and structured data on your site. It’s what allows AI systems and search engines to confidently identify who you are, rather than guessing from scattered signals.
Keyword SEO targets what people type into a search box. Entity optimisation targets how systems understand who and what your brand is, its relationships, attributes, and authority. The two work together, but entity work is what determines whether AI systems trust and cite you, not just whether you rank.
Yes. Entity confidence isn’t about size, it’s about consistency and completeness of your data. Smaller brands with clean, verified entity profiles often outperform larger brands with fragmented or duplicated entity data across the web.
Technical fixes like schema implementation and Wikidata verification can take effect within weeks. Building the citation authority and consistency that drives AI Overview inclusion and Knowledge Panel accuracy is a longer process, typically months rather than weeks.
A Knowledge Panel is the summary box Google shows alongside search results for recognised entities, brands, people, or organisations, pulling in verified facts like founding date, location, and official links. A populated, accurate Knowledge Panel is one of the clearest visible signs that your entity data is working.
Wikidata is a free, structured knowledge base that Google and several AI platforms draw on to verify facts about entities. Having a complete, accurate Wikidata entry is one of the most direct ways to strengthen how confidently AI systems describe your brand.
ChatGPT, Gemini, and Perplexity all draw on entity signals, from Knowledge Graph data to structured markup on your site, to decide whether your brand is a reliable source to cite or recommend. Incomplete or inconsistent entity data makes it harder for these systems to trust you, even if your content itself is strong.
Without clear entity signals, AI systems can generate incomplete, outdated, or simply incorrect information about your brand, with no way for you to correct it after the fact. Entity optimisation reduces this risk by giving AI systems a single, verified source of truth to draw from.
This depends on the size of your current entity footprint and how much technical and content work is needed to bring it up to standard. Get in touch and we’ll scope this specifically for your brand.
We track Knowledge Panel accuracy, citation frequency, and entity consistency across AI platforms on an ongoing basis, so you can see concretely how your AI visibility is changing over time, not just take it on faith.