Registry-Based GTM Intelligence for Partner and Prospect Discovery
Find and qualify companies with official registry records, parent and subsidiary links, exact identifier matching and change signals, using company-level data only.
Go-to-market intelligence for partner and prospect discovery means finding and qualifying companies from verifiable company facts: the official register entry, the corporate parent, the identifiers that tie one register to another, and dated changes such as a new status, a new website or a new cloud marketplace listing. It is company-level research. It does not need a single person's profile to work.
That distinction matters because buyers decide early. In the 2025 6sense B2B Buyer Experience Report, which collected nearly 4,000 buyer responses, the winning vendor was already on the Day One shortlist 95% of the time [1]. If your account list is built from guesses, you are spending effort on companies that were never going to shortlist you, and missing the ones that will.
This guide gives you a five-layer framework you can run with public, licensed sources: registry records, ownership links, exact identifier matching, change signals and a qualification rule. It also explains why the investigation tools built for people and threats are the wrong starting point for sales and partner teams.
Why OSINT Platforms Answer a Different Question
OSINT investigation platforms are built to find out who did something. Maltego, for example, describes itself as an investigation platform for complex cyber investigations, with real-time social media monitoring and quick searches on suspects and threat actors [2]. That is the right design for fraud, security and law enforcement work.
Sales and partner discovery asks a different question: which companies fit, who owns them, and what changed. None of that requires a person's name, handle or photo. The ICO's guidance draws the line clearly: information about a legal person rather than a natural person is not personal data, but data about sole traders, partners and named employees is [3].
So the design rule for go-to-market research is simple. Build on the legal entity. Keep individuals out of the discovery layer, and treat any record that identifies a natural person, such as a sole trader, as a separate category with its own lawful basis and handling.
| Dimension | GTM Discovery | OSINT Investigation |
|---|---|---|
| Unit of analysis | Legal entity with a register ID | Person, account, device or threat actor |
| Primary sources | Official registers, LEI data, marketplace listings | Social media, breach data, forums, public web |
| Matching method | Exact source-issued identifiers | Link analysis and inferred connections |
| Personal data | Excluded by design | Often the core of the case |
| Output | Qualified account and partner lists | Evidence for a case or incident |
Layer 1: Start From Official Registry Records
An official register entry is the most defensible fact you can hold about a company. It tells you the legal name, a source-issued number, the company type and whether the company is still trading. Many registers publish this for free.
Companies House, for example, offers a free monthly snapshot of live companies on the UK register as CSV files, plus daily and monthly files of electronically filed accounts [4]. Corporations Canada publishes a downloadable dataset of federal corporations and a Federal Corporation API that gives real-time access to corporation data, including status [5]. Register data like this beats a scraped company list because each record carries the register's own identifier and its publisher's terms.
When you load a register, keep three things on every row:
- The source-issued ID, exactly as the register publishes it, never reformatted into your own key
- The licence or terms under which the register publishes the data, so downstream use stays within them
- The capture date, so a reader can tell how old the fact is
Filter at import, not later. Keep active, for-profit legal entities in the company layer. Leave out officer and beneficial-owner records: those describe people, and you do not need them to qualify an account.
Layer 2: Roll Subsidiaries Up With Ownership Links
Ownership links turn a flat list of entities into accounts. Without them, your team works three subsidiaries of the same group as three unrelated prospects, and the parent's procurement team hears from you three times.
GLEIF's Level 2 data answers the question of who owns whom. Entities with a Legal Entity Identifier report their direct accounting consolidating parent and their ultimate accounting consolidating parent. When a parent also has an LEI, that LEI is published with the child's record [6]. A parent without an LEI cannot be linked this way, so treat a missing parent link as unknown rather than as proof the entity stands alone. GLEIF issues three sets of Golden Copy files daily, including a relationship file for these parent links, and each update comes with delta files covering changes since 8 hours, 24 hours, 7 days and 31 days earlier [7]. The data is provided under the CC0 licence [8].
Two cautions keep this layer honest. First, Level 2 records the accounting consolidating parent [6], not percentage shareholdings or beneficial owners, so do not label it as a cap table. Second, some entities report an exception instead of a parent, for example because the registrant has no parent entity [7]. Store the exception as a fact rather than leaving a blank that looks like missing data.
Keep the legal entity as your research record and the ultimate parent as your account record. Score fit on the entity that buys, route ownership to the team that owns the parent, and never merge two entities unless an ownership record or an exact identifier says they belong together.
Layer 3: Match Across Registers on Exact Identifiers
Cross-register matching is where most company data goes wrong. Two companies called "Northwind Solutions Ltd" in different countries are different companies. A fuzzy name match that joins them sends your rep a parent, a website and a country that belong to someone else.
The fix is to join only on identifiers the sources themselves issue. GLEIF maintains a Registration Authorities List of almost 1,200 business registers and other registration and validation sources, each with a code [9]. An LEI record names that register code and the entity's local number as maintained by the authoritative source [9]. That pair is an exact bridge from an LEI record to a national register entry.
In practice, a match works like this:
| Step | What you compare | Example outcome |
|---|---|---|
| 1. Pick the register | The register's code from the GLEIF list | The national company register for the country you sell into |
| 2. Read the LEI record | The register code and local number the LEI record names | Register code plus company number 01234567 |
| 3. Find the register entry | The same company number in that register | One active company with that exact number |
| 4. Accept or hold | Exactly one match, same country and legal form | Linked. Anything else stays unmatched and goes to review |
Names never decide a match. An entry with no exact identifier stays unmatched rather than joined on a similar name.
Hold the line on three rules. Compare identifiers after a documented normalization only, such as removing spaces the register itself treats as insignificant. Record which identifier produced every match. And when two candidates share an identifier but disagree on country or legal form, send the pair to review instead of picking one.
Layer 4: Treat Changes as Dated, Sourced Signals
A change signal is useful only when you can say what changed, when, and where you saw it. "This account is trending" is not something a rep can repeat to a buyer. "Your company registered a new subsidiary in Canada last month" is.
Official sources increasingly publish changes directly. The Companies House streaming API gives access to real-time changes to the information it holds, with separate streams for company information, filing history, insolvency cases and charges, among others [10]. GLEIF's delta files do the same for LEI and parent records [7]. Use the company streams and skip the officer and person-level streams for go-to-market work.
Four signal families carry most of the value for partner and prospect teams:
- Status changes: a company becoming active, entering insolvency or being dissolved, from the register itself
- Ownership changes: a new direct or ultimate parent in the LEI relationship data
- Website changes: a new domain, a relaunched site or a new product page you can verify on the company's own site
- Listing changes: a new cloud marketplace listing or partner program entry, which tells you a company is building a channel motion
The last one is underused. AWS Marketplace is a curated catalog where customers find, buy, deploy and manage third-party software, data and services, and a seller can be an independent software vendor, a channel partner or a managed services provider [11]. A company that appears there for the first time has made a visible decision about how it sells.
Store each observation as one record with its evidence and an expiry. For example:
| What to record | Example |
|---|---|
| The signal | A new cloud marketplace listing |
| The company | Its register and company number, not just its name |
| When you saw it | 20 October 2026 |
| Where you saw it | A link to the listing page itself |
| How long it stays relevant | 60 days |
| What happens next | Check fit, then route to the partner team that owns that cloud |
Give every signal an expiry and one required action. If you combine several signals, our guide to stacking buying signals into compound indicators explains how to weight them and let them decay. A signal without a source URL never enters the queue.
Layer 5: Qualify the Account, Then Decide the Motion
Qualification combines the layers into a decision. The registry record says the company exists and is active. The parent link says which account it belongs to. The exact identifier says your other facts describe the same company. The signal says why now.
| Layer | Question | Source Type | Reject When |
|---|---|---|---|
| Registry record | Does this company exist and trade? | Official register | No source-issued ID or inactive status |
| Ownership link | Which account does it roll up to? | LEI Level 2 parent records | Parent claimed without a relationship record |
| Identifier match | Do these facts describe one company? | Register code plus local ID | Match rests on a name alone |
| Change signal | Why contact them now? | Register streams, deltas, listings | No date or no evidence URL |
| Fit decision | Prospect, partner or neither? | Your ICP and partner criteria | Fit inferred from the brand or size alone |
Run the fit decision against your own ideal customer profile; our walkthrough of ICP scoring models that predict revenue covers how to weight it. Then pick the motion. A company that sells through a cloud marketplace may be a co-sell partner rather than a direct prospect, and a subsidiary whose parent is already a customer is an expansion conversation, not a cold one.
Measure the system by what reps can verify. Track the share of routed accounts with a source-issued ID, a resolved parent and a dated signal, and review the rows that fail before you add more sources. Our account prioritization framework shows how to choose which qualified account to review next and how to keep that choice separate from routing.
Where Prospectory Fits Today
The framework above works with any tooling. If you want the first layers already assembled, two Prospectory resources cover part of it today.
The Global Business Directory holds company registry records from official registers, each with its source-issued ID and the publisher's licence. It adds verified company websites, AI readiness audits of those websites and researched company profiles.
The Cloud Partner Leaderboard indexes cloud provider partners and audits their websites, which helps partner teams see who is already building a channel on each cloud. The ownership roll-up and change monitoring described in Layers 2 and 4 are steps you run with the public sources cited here.
Frequently Asked Questions
What is go-to-market intelligence for partner discovery?
It is the practice of finding and qualifying companies to partner with or sell to, using company-level facts: registry records, ownership links, exact identifiers and dated change signals. The output is a qualified account or partner list, not a profile of a person.
How is this different from OSINT?
OSINT investigation platforms focus on people, social media and threats, because their users need evidence about individuals and incidents [2]. Go-to-market discovery needs facts about legal entities, which under UK guidance are not personal data [3].
What does GLEIF Level 2 data show?
It shows the direct and ultimate accounting consolidating parents that entities with an LEI report. Where a parent also has an LEI, the child's record carries it [6]. It does not show percentage ownership or beneficial owners.
Why not match companies by name?
Names repeat across countries and change over time. Match on the register code and local ID that an LEI record carries [9], and leave a record unmatched rather than guessing.
Summary and Next Steps
Discovery that holds up starts from the register, rolls entities up to the account, joins sources only on exact identifiers and acts on dated, sourced changes. It stays at the company level, which keeps it accurate and keeps personal data out.
In your next working session, take the twenty accounts at the top of your current list and check each one for a source-issued registry ID and a resolved parent. Start tracking the share that pass both this week. That number tells you how much of the shortlist decision described at the top of this guide [1] you are actually prepared for.
References
[1]6sense: 2025 B2B Buyer Experience Report. https://6sense.com/buyer-experience-report/
[2]Maltego: OSINT and cyber investigations platform. https://www.maltego.com/
[3]ICO: What is personal data? https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/personal-information-what-is-it/what-is-personal-data/what-is-personal-data/
[4]GOV.UK: Companies House data products. https://www.gov.uk/guidance/companies-house-data-products
[5]Corporations Canada: Data services. https://ised-isde.canada.ca/site/corporations-canada/en/node/269
[6]GLEIF: Level 2 data, who owns whom. https://www.gleif.org/en/lei-data/access-and-use-lei-data/level-2-data-who-owns-whom
[7]GLEIF: Download the Golden Copy and Delta Files. https://www.gleif.org/en/lei-data/gleif-golden-copy/download-the-golden-copy
[8]GLEIF: LEI Data Terms of Use. https://www.gleif.org/en/meta/lei-data-terms-of-use
[9]GLEIF: Registration Authorities List. https://www.gleif.org/en/about-lei/code-lists/gleif-registration-authorities-list
[10]Companies House: Streaming API overview. https://developer-specs.company-information.service.gov.uk/streaming-api/guides/overview
[11]AWS: What is AWS Marketplace? https://docs.aws.amazon.com/marketplace/latest/userguide/what-is-marketplace.html
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