GTM Data Source Hierarchy: Go to the Source

You’re obsessed with scraping. Sales Nav, Google Maps, Apollo, Storeleads. You think you’re being clever, but they are all secondary copies. Company websites are the primary source for GTM data.

Here’s the hierarchy nobody talks about.

Primary Source: The Company’s Website

Primary source: the company’s website. The company controls it, updates it, and describes itself in its own words with no character limit and no dropdown category selector.

There is no reseller layer, no taxonomy, no broker. If the business is real, the website is the most accurate description of what it actually does, in the company’s own language.

Secondary Sources: LinkedIn, Sales Navigator, Google Maps

Secondary sources: LinkedIn, Sales Navigator, Google Maps. Interpretations of primary data, repackaged and taxonomized.

LinkedIn collapses a nuanced business into a broad networking label. Useful for social networking, weak for precise targeting. Google Maps optimizes for foot traffic, not B2B fit.

These tools are good at the job they were designed for. They are not a B2B targeting dataset.

Tertiary Sources: Apollo, ZoomInfo, and the Rest

Tertiary sources: Apollo, ZoomInfo, and the rest. Aggregators that inherit LinkedIn’s collapses and add their own staleness.

Now you’re scraping a scrape of a scrape.

The Implicit Admission

Every sophisticated GTM engineer eventually builds a Clay or Claude workflow to scrape company homepages.

That is an admission that the website is the primary source. You just have not admitted it is the source.

The team keeps paying for the secondary and tertiary tools and patches around them with homepage scrapes on the side. It would be cheaper, faster, and more accurate to start with the primary source in the first place.

Why This Matters More Than It Sounds

The scraping crowd has internalized a false equivalence: “data is data, more sources = better.” But entropy works the other way.

Every layer of secondary processing loses information and introduces mistakes. By the time you’re enriching from multiple sources, you’re compounding the mistakes each source invariably introduces.

The signal you actually want, what the company says about itself today, is already buried under three layers of interpretation.

Google Solved This for Consumer. Nobody Solved It for B2B.

Google solved this for the consumer web by indexing it directly. Nobody has done it for B2B. There are plenty of directories, but they are all downstream and all partial.

DiscoLike is that index: every business website worldwide, in 48 languages, built from secure network infrastructure.

We read each one of them once a month, or more often if we detect an update. The searchable index is the product. Homepage text, social links, public emails, and phone numbers, all collected and saved in the profile.

How DiscoLike Replaces the Stack

Simply bring your ICP prompt and get search results back.

Want to dive into the query details? It is all open, unlike our competitors. Control lookalike domains. Inspect the text behind vector search. Spell out your own keywords for homepage text match.

This is DiscoLike in a nutshell. No gaps in coverage, no merges from multiple sources.

Go to the source. Leave the scrapes to competitors.

Frequently Asked Questions

What is the primary source for B2B GTM data?

The primary source is the company’s own website. The company writes it, controls it, and updates it in its own words, with no taxonomy or character limit imposed by a third party. Every other GTM data source, including LinkedIn, Apollo, and ZoomInfo, is a downstream interpretation of that website.

Why are Apollo and ZoomInfo considered tertiary sources?

Apollo, ZoomInfo, and similar aggregators inherit company data largely from LinkedIn and other secondary sources. They are interpretations of interpretations, which means every error or omission in the upstream layer is carried forward and combined with their own staleness. By the time you query them, you are searching a scrape of a scrape.

Doesn’t every GTM team already scrape websites?

Most sophisticated teams already build Clay or Claude Code workflows to scrape company homepages directly. The implicit admission is that the website is the primary source. The unnecessary step is paying for secondary and tertiary tools and patching them with homepage scrapes, when an index of websites would replace the entire stack.

How does DiscoLike index company websites at scale?

DiscoLike sources business domains from secure network infrastructure rather than scraping LinkedIn or third-party directories. We read every site at least once a month, and more often if we detect an update, then store homepage text, social links, public emails, and phone numbers in a searchable profile. The result is one index of every business website worldwide in 48 languages.

Related posts: