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Solution 03 / 03 · Content Creation

Win citations. Outrank in your category. Stay brand-accurate.

Only 56 of 200 audited outlets get cited by AI in 2026, and the ones that win do it through a specific content shape, not by spending more on PR. We engineer social posts, blogs, comparison pages, and FAQs using the exact patterns AI pulls from in your sector. From $1K/mo to $3.5K/mo.

Citation Research · 2026

Three numbers from 3,646 audited citations.

We audited every URL ChatGPT, Perplexity, Gemini, and Google AI Mode cited across 200 crypto outlets. Classified each by content type. Here's what content actually wins citations in 2026.

58.7%

Of AI citations come from 4 editorial content types

Listicles (21.4%) + editorial posts (21.3%) + guides (8.5%) + comparisons (7.5%). If you're not publishing these formats, you're invisible to AI.

citeOS audit · 2026-05-29
28%

Of editorial outlets actually win AI citations

56 outlets cited × 144 not cited = a sharp filter. The winners share content patterns, not size or budget. Your content needs to match those patterns, in your sector.

200 outlets audited · 5 AI engines
DR 41

Avg Domain Rating of outlets AI cites, mid-tier, not tier-1

AI doesn't only cite CoinDesk and TechCrunch. It cites correctly-shaped content from DR-40 niches just as often. Your content surface matters more than your outlet authority.

56 confirmed citers · 2026 audit
Citation mix / by format

The four shapes that win the citation.

58.7% of every AI citation we logged came from just four editorial formats. The other 41% is a long tail nobody reliably wins. Publish the shapes AI extracts, or stay invisible.

Share of 3,646 AI citations · by content type
Listiclesranked lists
21.4%
Editorialnews-domain posts
21.3%
Guideshow-to + steps
8.5%
Comparisonsfeature matrices
7.5%
Everything elsethe long tail
41.3%
The new search reality

AI doesn't read your press releases. It cites your content shape.

Old SEO: keywords on pages, links from authority sites, Google rewards you. That's a 2015 game. The 2026 game is Answer Engine Optimization, you're writing for the AI extractor, not the human ranker. Different patterns. Different formats. Different success metrics.

The sea of generic AI content is filling fast. Your competitors are already shipping. Stay distinctive, stay accurate, stay cited, or fade.

The citeOS workflow

Decode. Build. Publish. Re-audit.

Not a writer with a brief. A reverse-engineered process driven by 3,646 audited citation events, 500+ outlet rankings, and the per-sector content patterns AI actually cites in 2026.

01
Decode

What AI cites in your sector

From our 3,646-event dataset, we pull the content types, headline patterns, and source structure that win citations in your specific category. Wallet patterns ≠ RWA ≠ DePIN.

02
Build

Engineered to match the pattern

Listicle structure with clear ranking criteria. Guides with extractable summaries. Comparison pages with feature matrices. Schema markup on every page. AI extracts the answer, from you.

03
Publish

3 surfaces, not 1

Owned (your domain, max control). Earned (AI-cited outlets, max authority). Community (Reddit, X, where AI grounds on consensus). The right mix for the queries you target.

04
Re-audit

Measure the lift

Every 14 days, citeOS re-audits your citation rate across all 5 engines. We show you which content pieces moved the score, and which didn't, so we cut what isn't working.

What you get

Four pillars. One content engine.

Each tier of the Content SKU adds a new surface. You don't pay for fluff, you pay for citations.

— Pillar 01

Brand alignment, every piece

Voice, positioning, terminology, claims, locked into a brand kit. Every social post, every blog, every byline written against your rules. Zero off-brand drift, no awkward AI tropes.

  • Brand voice locked from your existing content
  • Claims library + approved terminology
  • Approval workflow before publish
— Pillar 02

AEO-ready structure

JSON-LD schema (Article, FAQPage, HowTo, Product). Extractable summary blocks. Tables and feature matrices AI can lift wholesale into answers. Built for the parser, not just the reader.

  • Schema markup on every published page
  • llms.txt + robots.txt configuration audit
  • Headline + intro patterns AI extracts most
— Pillar 03

Multi-surface publishing

Owned (your domain, schema-marked). Earned (ghost-written bylines on AI-cited outlets we've measured). Community (Reddit threads, X long-form, LinkedIn posts) seeded for AI to ground on.

  • Owned articles published on your domain
  • External bylines on AI-cited outlets
  • Coordinated Reddit + X + LinkedIn seeding
— Pillar 04

Citation attribution per piece

Every piece we ship is tracked against your AI citation footprint. Re-audit shows you which articles moved the score, which got cited, and which to retire. No more wondering if content "worked."

  • Per-piece citation attribution
  • 14-day re-audit cadence
  • Retire-or-double-down decision per piece
Per-sector content patterns

Different sectors. Different content wins.

There's no universal content type that wins everywhere. Our audit shows what AI cites for each crypto vertical, so the content we ship is shaped for your specific category, not generic.

Sector Top cited type Share of citations What to ship
WalletListicle38%"Top 10 self-custody wallets 2026" + comparison matrices
ExchangeListicle25%"Best crypto exchange 2026" listicle inclusion + comparison pages on editorial outlets
DeFiEditorial post29%Long-form essays on AI-cited outlets
RWAEditorial post39%Tokenization explainer + analyst-style coverage
DePINEditorial + Video37% + 10%Project deep-dives + YouTube explainers
NFTEditorial post28%Collection coverage + buyer guides
L1/L2Editorial post31%Tech deep-dives + ecosystem coverage
CasinoListicle15%Operator reviews on iGaming trade pubs
Strategy: if you're a wallet brand, blog posts won't move the needle, you need to be in every "best wallet" listicle. If you're RWA, editorial coverage matters more than social. The content mix should match the citation pattern, not a generic playbook.
Pricing · 3 tiers

Content scales by surface coverage.

Pick the tier that matches your current gap. Move up as your citation footprint expands.

Tier 1 / 3 · Social

"Seed the community."

$1K/ month

Brands building presence on the surfaces AI grounds in. Reddit + X + LinkedIn coordinated content stack.

  • 8 social posts / monthAcross 3 channels (X, LinkedIn, Reddit)
  • Sector-specific citation briefsWhat AI actually cites for your category
  • Approval workflow + edit cyclesYou sign off before publish
  • Monthly performance check-inWhat got engagement, what got cited
Tier 3 / 3 · + External

"Full citation stack."

$3.5K/ month

Maximum citation surface across owned + earned. Adds 2 ghost-written bylines on AI-cited outlets.

  • Everything in Owned mediaSocial + 4 blog articles + schema
  • 2 ghost-written bylines / monthOn outlets measured as AI-cited for your sector
  • Outlet placement fees includedUp to $400 per placement
  • Quarterly FAQ + comparison pageBuilt around the queries you're losing in AI search
Bundled in the AI Citation Retainer ($2,999+/mo): If you take the AI Citation Retainer, the Social tier ($1K) is included free. Owned media + External tiers can be added on top for $1K and $2.5K. See AI Citation Retainer →

Content that gets cited isn't longer. It's shaped.

Most crypto content reads like a press release. AI doesn't cite press releases. We engineer the patterns AI actually pulls from in your sector, then ship them.

Get my free audit first →