Become the brand AI recommends
AI engines do not pick brands at random. They cite the names they recognise, the entities they trust, and the businesses corroborated across the open web. We build the Wikipedia presence, knowledge graph entries, and digital PR signals that turn your brand into a default citation.
What we deliver
Brand citation audits
We test how each major AI engine currently sees your brand, recording entity recognition accuracy, citation frequency, source attribution, and competitive share of voice across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. The audit identifies whether your brand is missing from the model's knowledge entirely, recognised but unfavoured, or recognised but inaccurately described. Each scenario requires a different fix, and the audit produces a prioritised remediation plan with effort and impact estimates so you can sequence the work for maximum return.
Wikipedia and Wikidata presence
Wikipedia is one of the highest-weighted sources in every AI model's training data and a primary retrieval source for live answers. We assess your notability against Wikipedia's criteria, draft compliant pages with verifiable independent sources, and establish your Wikidata entity with full sameAs linking. Where notability is borderline, we run the digital PR programme that builds the verifiable independent coverage Wikipedia editors require. This is one of the longest-compounding investments in AI citation building.
Knowledge graph consolidation
We establish your brand as a recognised entity across the structured data layer of the web: Google Knowledge Graph, Wikidata, Crunchbase, LinkedIn Company Pages, and the major industry directories AI engines use for entity resolution. Each profile is created or claimed, standardised, and connected through schema markup with sameAs links so AI models can resolve them to a single canonical entity. Knowledge graph presence is one of the strongest signals in AI citation decisions.
Digital PR for AI citations
We run a digital PR programme engineered specifically for AI citation impact. Each placement is selected for its influence on retrieval ranking, not for the backlink alone, targeting industry trades, major news outlets, association directories, and expert roundups that AI engines treat as authoritative. The compounding effect is significant, three placements in the right sources outweigh thirty in the wrong ones. Every campaign is measured by citation lift, not by domain rating or referring domain count.
NAP and entity standardisation
We audit and standardise your Name, Address, Phone, and core entity attributes across every directory, social profile, schema block, and citation source on the open web. Inconsistencies confuse AI engines and actively suppress citations. Standardisation removes that friction. We also implement Organization, LocalBusiness, and Person schema with sameAs links pointing to every authoritative profile, giving the models a single source of truth they can resolve against and trust.
Citation share tracking
We track brand citation share across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews on a weekly cadence, recording mention frequency, sentiment, accuracy, and source attribution. Reports show your share of voice against your top three competitors on every priority query, the queries where you've gained or lost ground, and the entity signals driving each citation. AI referral traffic is segmented in Google Analytics so you can connect brand citations directly to sessions, conversions, and revenue.
How we work
Citation baseline
We benchmark how each major AI engine currently recognises and cites your brand, recording entity accuracy, citation frequency, and competitive share of voice. The baseline becomes the measurement reference for every change. Most brands discover their entity recognition is far weaker than they assumed, which immediately shows where to invest first.
NAP and entity foundation
We standardise NAP across every major directory, profile, and schema block on the open web, then implement Organization schema with full sameAs linking to every authoritative source. This foundation removes the friction that suppresses citations and gives every AI engine a single source of truth to resolve against.
Knowledge graph and Wikipedia
We build Wikidata entries, claim Crunchbase and LinkedIn Company Pages, and pursue Wikipedia presence where notability supports it. Where notability is borderline, we run targeted digital PR to build the verifiable coverage Wikipedia editors require. Knowledge graph presence is one of the strongest AI citation signals available.
Digital PR and tracking
We run a digital PR programme engineered for AI citation impact, targeting the sources each major engine trusts most, then track citation share weekly and iterate on the campaigns that move the metric. AI engines update continuously, so ongoing measurement and adjustment is the difference between a temporary lift and a defensible long-term position.
Related GEO services
Other disciplines in our AI search programme. Together they cover every surface where buyers ask AI for a recommendation.
Frequently asked questions
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