The Lattice network · GEO placements

The pages AI answers from,
open by the slot

Lattice is a network of 17 research properties. Vendors and agencies buy labelled placements on 1,616 measured pages, 1,305 of them cited by Microsoft Copilot in the current window, each listed with its own count and its price. 14 properties are measured in Bing Webmaster Tools; 3 launched too recently to have a reading yet. Type your domain to see which of our pages already name you.Network-wide, Microsoft Copilot named a Lattice page as its source 2,055,600 times in the 90 days to 15 October 2026, about 22,840 a day. Each page’s own count is listed separately on the shelf.

Checks your domain against the 1,543 companies our network already names. Nothing is stored and no email is required.

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 17 properties. See the research →

Statement of record21 September 2026Sourced 4 of 4
17
Live properties
24
DOI-backed studies
54
Free interactive tools
801
Editorial articles
Place on the network

Three ways to buy a slot

Rate card

Every slot the network sells is listed with its page, its measured count, its price and whether it is open, browsable without emailing anyone first. Position on a page is never for sale; what is for sale is a disclosed slot inside a page assistants already answer from.

How we measure

Every number on the shelf can be checked

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. It counts Microsoft Copilot, and we never call it anything wider.

The figures that argue against us

The transparency report sets the citation count against the Google clicks it earned, publishes the traffic number that argues against us, and states plainly what we cannot measure. We also keep a control group and published its null result.

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.

What we built

One engine, run 17 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 17 properties

12 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.