The Lattice network

See where AI already
names your company.

14 topical properties whose pages answer engines actually cite, plus 2 launched too recently to have been measured yet. Type your domain and we will show you which of ours already name you, what each page measured, and what a partner slot on it costs. Measured with Bing Webmaster Tools, not estimated.

Checks your domain against the 1,407 companies our network already names. Nothing is stored and no email is required.

Why that number is worth anything

One instrument, named

Citations come from Bing Webmaster Tools’ AI Performance report, with the window and the date of measurement published beside every figure. Bing labels it a sample, so we say so rather than rounding it into a claim.

Error bars, not decimals

Per-property readings carry roughly ±50, so network totals are floored rather than stated to the digit. A precise-looking number we cannot support would be easier to publish and worth less.

Published under a real byline

24 original data studies, open-licensed, each carrying a permanent DOI, under a single ORCID-verified identity. The method is auditable because the work behind it is.

Reviewed & researched by a credentialed operator
ORCID 0009-0005-6869-308X

Vincent Couey is an independent researcher and ChemRxiv-published computational chemist. The byline resolves to one real person on the public web (ORCID, Scholar, arXiv) — the same @id anchors every article across all 16 properties. See the research →

Statement of record1 September 2026Sourced 4 of 4
16
Live properties
24
DOI-backed studies
54
Free interactive tools
797
Editorial articles
Place on the network

A live shelf, not a media kit.

Rates & how it works

Every placement the network can sell is listed with its property, its vertical and its current availability — browsable without emailing anyone first. Position on a page is never for sale; what is for sale is a disclosed slot inside a page that already ranks.

What we built

One engine, run 16 times.

Most niche sites are hand-built one page at a time and abandoned. The Lattice is the opposite: a single operating system — content engine, governance layer, runtime QA, and a shared identity graph — amortized across every property, so each site inherits the whole apparatus the day it launches. The result is a network that reads, and behaves, like an established publisher.

Original first-party data
24 computed studies the rest of the web has to cite rather than copy — each open-licensed with a permanent DOI. Data is the moat: it can't be spun up overnight or scraped away.
A real, resolvable byline
Every article ties back to one ORCID-verified researcher via a single Person @id — the entity spine search and answer engines use to decide who to trust.
A constitution, not vibes
A codified governance layer governs scoring, monetization eligibility, disclosure, and truth standards across all properties. Consistency is enforced, not hoped for.
Runtime quality control
An automated QA pipeline checks live pages for broken redirects, schema integrity, and disclosure compliance — the network audits itself continuously.
Answer-engine native
Per-site llms.txt, a topic taxonomy aligned to retrieval, complete schema, and open crawl access — built to be inside the AI answer, not just ranked beneath it.
Schema-complete by default
Article, Dataset, FAQ, Organization and Person JSON-LD ship on every page so machines can parse exactly what each page is and who stands behind it.

The operator's peer research stands behind the network too — a ChemRxiv-published QSAR paper and physics preprints on arXiv, all under the same ORCID. See the research → · Every publication →

The research index

24 original studies. Every one carries a DOI.

First-party data, computed and published under the Lattice methodology, each released CC-BY 4.0 with a permanent Zenodo DOI. These are primary sources — citable, auditable, and the reason answer engines and researchers can build on the network rather than only read it.

All datasets open under CC-BY 4.0. DOIs resolve via doi.org. Methodology + the full dataset hub: deepsynthesis.org/datasets.

How the network earns trust
Primary-source first
Empirical claims trace to FDA CAERS, CMS, IRS, College Scorecard, manufacturer filings, or peer-reviewed literature — not secondary blogs.
Three-tier sourcing
Primary sources for facts, named-authority secondary for context, explicit labeling when interpretation enters the prose.
Open & reproducible
Every study ships its dataset CC-BY 4.0 with a Zenodo DOI — anyone can audit the numbers.
One resolvable byline
A single ORCID-anchored Person @id ties every article back to a real, checkable operator on the public web.
Vincent Couey Founder & lead reviewer
Independent researcher · ChemRxiv-published computational chemist. Methodology · data studies · AI/tech · finance verticals.
ORCID 0009-0005-6869-308X
The 16 properties

11 clusters, one byline.

What's open on each
Cluster 2.0 · in build

The next properties are instantiated, not forked.

The properties above were forked from a shared template and began diverging on day one. The next cluster is built from the engine directly: shared behaviour, governance and data layer, with structure and design deliberately divergent per property rather than one skin repeated. Undeclared deviation fails the build. New verticals land on this map as they go live.