Authority &
Entity
Stacking.
The signals LLMs and search engines share in common — stacked, compounded, deployed as a single authoritative substrate beneath your brand.
- Substrate
- Entities · Reviews · Press · Analysts
- Registries
- Wikidata · Schema.org · Freebase heirs
- Outcome
- Default category answer
- Cadence
- Monthly stack operations
The
citation
network.
Wikidata & structured registries
Every authoritative AI answer begins from a structured entity graph. We place your firm, your founder, your flagship proprietary frameworks in the same registries the models quote from — Wikidata, schema-linked open data, curated category directories.
Editorial citation
Placements in tier-one publications and specialist press — the sources large language models weight most heavily. We target the outlets LLMs have ingested, not the ones marketers like.
Founder voice & thought leadership
Named expert authority. The founder becomes a quotable source across podcasts, long-form journalism, analyst reports, and conference keynotes — each one a new citation, each citation a new signal.
Review & analyst coverage
Independent verification where it matters: specialist review platforms, analyst firms, industry benchmarks. The evidence that survives the model's skepticism.
Cross-platform canonicalisation
Every surface your brand exists on — LinkedIn, Crunchbase, AngelList, industry registries — collapsed into a single consistent identity. No drift. No ambiguity. No competitor capturing your namesake queries.
Become
default.
Most brands are invisible at the answer layer. The audit shows exactly why — and the fastest route to reversal.