Inside Our 255-Publication Citation Network
AI models cite the sources they trust. Our network spans 255 publications across four tiers, matched to your category, so you earn citations where they actually count.
A Network Built For How Models Source Answers
A single high-authority placement won’t win you every assistant.
ChatGPT leans on trained-corpus authority. Gemini and Perplexity lean on live retrieval. Claude favours specialist sources that cite primary research. Each assistant draws from a different slice of the web.
So we built a tiered network that covers all of it: anchor publications for durable authority, mid-tier and specialist outlets for category depth, and emerging sources for freshness. Depth is what lets us earn citations across every major assistant.
Four Tiers, 255 Publications
Each tier plays a different role in how AI models cite. Sample outlets show the calibre, not guaranteed placements.
Anchor · 42 publications
- DA 70+
- TechCrunch, VentureBeat, Forbes Tech Council, Fortune, Inc.
Mid-tier · 94 publications
- DA 50 to 69
- The New Stack, SaaStr, Marketing Land, dev.to features
Specialist · 81 publications
- DA 40 to 60
- Fierce Healthcare, Finextra, American Banker, niche substacks
Emerging · 38 publications
- Varies
- Newsletter-led publications, podcast-paired editorial
How The Network Adapts To Your Brand
Matched to your category
We pick the slice of the network that serves your industry, from the integration roundups SaaS buyers read to the compliance-aware outlets fintech buyers trust.
Matched to the assistants
We weight anchor versus specialist coverage based on which assistants you most need to win, so the network works for your specific citation gaps.
Refreshed continuously
The network evolves as publications gain or lose authority and as the models change how they source answers.
Which Tier Moves Which Assistant
The four models weight the tiers differently. Matching them is the whole point of a tiered network.
ChatGPT
Won mostly by Anchor and reference-grade coverage its training absorbs: DA 70+ roundups and the pages other authorities cite. Durable, slow to move, and worth the most once earned.
Gemini
Won by a steady cadence of recent Mid-tier and Specialist coverage its live retrieval surfaces. Freshness compounds, so consistent placement beats a single large hit.
Perplexity
Won by Specialist outlets your category genuinely trusts. A niche publication here routinely outranks a generic national title, because relevance is weighted alongside authority.
Claude
Won by technical and Specialist sources that cite primary research or documentation. Coverage linking to real evidence travels furthest with this model.
How A Publication Earns Its Place
Inclusion is earned and audited, not bought. Four bars every outlet has to clear.
Related reading on how citations actually work:
Real authority, not just a score
Genuine Domain Authority backed by real organic traffic. A high score with no readers does not make the list.
Actually cited by the models
We test whether the assistants surface an outlet in real category answers. If the models never cite it, it does not belong in a citation network.
Genuine editorial standards
Real editors, a real audience, and a willingness to publish earned ideas on merit. No pay-to-play, no owned properties, no link farms.
Topical fit to your sector
An outlet only counts if it carries weight in a category we serve. We would rather run a sharper, smaller list than pad it with irrelevant reach.
We do not own or control any publication in the network. Every placement is earned editorial coverage, pitched to real editors, and never guaranteed.
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Citation Network Questions
See where you’re cited today: get a free audit, explore the programmes, or compare a dedicated AI Overviews mentions tool if you want to check citations yourself first.
What is your citation network?
It’s the set of 255 publications we earn coverage in, grouped into four tiers by authority and role. These are the outlets AI models read and retrieve when answering category questions, from anchor publications to specialist and emerging sources.
How do you choose publications for my brand?
We match the network to your category and stage. A fintech brand needs different sources than a healthtech brand. We confirm the target list against where the models actually cite in your space, then earn the coverage that moves your citations.
Why does network depth matter for AI citations?
Different assistants weight different sources. Some lean on high-authority anchor publications, others on recent specialist coverage. A deep, tiered network lets us earn citations across all four major assistants, not just one.
Do you own or control these publications?
No. Every publication in the network is independent. We earn coverage by pitching real editors with ideas worth publishing; we never buy, own or guarantee placements. That independence is exactly what makes the resulting citations credible to both readers and models.
How is this different from a media list or PR database?
A media list is a directory of contacts. Our network is a vetted, tiered map of the outlets AI assistants actually cite in specific categories, maintained against live query testing. We select for citation influence, not just reach, and we do the earning, not just the listing.
How does a publication qualify for the network?
Each outlet clears four bars: genuine Domain Authority with real organic traffic, evidence the models cite it in category answers, editorial standards with real editors and readers, and topical fit to a sector we serve. Outlets that slip on any of these are retired.
How many placements can I expect?
It depends on your programme: 6 to 12 a month on Startup, 10 to 30 on Flagship, and 50 or more on Enterprise, drawn from the tiers that best move your citations. See the full pricing for what each tier includes.
Does the network change over time?
Continuously. Publications gain and lose authority, and the assistants keep changing how they weight sources. We add emerging outlets, retire fading ones, and re-test which sources the models cite, so the network reflects how AI sources answers now, not last year.
See Which Publications Would Move Your Citations
Get a free audit. We’ll show you where the assistants cite in your category today, and which tier of the network would change that.
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