Lucreya Research

The Lucreya Research Library

Open, DOI-backed, CC-BY 4.0 datasets on the AI go-to-market stack: which tools exist, what they cost, and which ones AI answer engines actually recommend. First-party measurement, machine-readable, free to cite. Part of the Lattice research network.

Lucreya datasets

First-party, permanently archived (Zenodo DOI), mirrored on Hugging Face and Kaggle.

The AI Recommendation Audit 2026

5 AI engines · 16 categories · 716 recommendations · agreed on the #1 tool in 0% of categories

We asked five live AI engines (ChatGPT, Perplexity, Gemini, Llama via Groq, Cohere) the same buying questions across 16 B2B/GTM software categories and recorded every tool each one named, in order. The engines never once all agreed on the single best tool; search-grounded engines reading the live web surface different winners than model-memory ones. Includes a per-tool AI-Visibility Score for every measured tool.

Study & findings Data (JSON) Zenodo DOI Hugging Face Kaggle

Cite: Couey, V. W. (2026). The AI Recommendation Audit 2026: Which B2B/GTM Software AI Assistants Recommend [Data set]. Lucreya. https://doi.org/10.5281/zenodo.20767878

Who AI Recommends: GTM Tools 2026

60 AI answers · 162 Perplexity citations · Reddit cited in 75% of answers · ChatGPT / Perplexity / Google AI

An original measurement of which GTM tools three AI answer engines recommend, and which sources they cite. A primary-source dataset for generative-engine optimization (GEO) and AI-search citation behavior.

Study & findings Data (JSON) Zenodo DOI Hugging Face Kaggle

Cite: Couey, V. W. (2026). Who AI Recommends: GTM Tool and Source Citations [Data set]. Lucreya. https://doi.org/10.5281/zenodo.20632768

AI GTM Tools 2026: Pricing & Capability Index

30 tools · marketing / seo-geo / sales · normalized entry pricing & merit tiers

A curated, merit-placed index of 30 AI go-to-market tools across marketing, SEO/GEO, and sales, with normalized entry pricing and capability tiers (locked before any monetization check).

Study & findings Data (JSON) Zenodo DOI Hugging Face Kaggle

Cite: Couey, V. W. (2026). AI GTM Tools 2026: Pricing and Capability Index [Data set]. Lucreya. https://doi.org/10.5281/zenodo.20632766

Explore the analysis

The datasets above power Lucreya's coverage of AI go-to-market and answer-engine visibility.

AI visibility checkAre you cited by AI engines? GEO placementGet into the AI answer Tool roundupsMarketing · SEO/GEO · sales For startupsThe GTM stack, costed MethodologyHow we test and score

The Lattice research network

Lucreya is one node of the Lattice — a research-driven network of 17 open, DOI-backed, CC-BY datasets across 13 properties, all published under one ORCID-verified byline. Explore the whole library:
The network hub →All properties & the full research index Hugging Face →17 datasets, mirrored Kaggle →17 datasets, mirrored Nesyona ResearchAI model & pricing data Rinzara ResearchAI creative policy & rights data The authorVincent Couey · ORCID
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