citeOS vs Cision

Side by side / 01

The spec sheet, no spin.

	citeOSby Emergence Media	CisionLegacy PR platform
Starting price	$0 free scan · $299 audit · $749/mo foundingstrike rate $999 · see pricing	Per-seat subscription, quote-basedtypically annual contract
How you pay	USDT, per tier or per campaign, no seats	Annual contract, per seat
Outlet database	500+ crypto outlets, every one scored on 5 live signals	250,000+ outlets across all industriesBreadth vs depth
What's measured	Whether coverage gets indexed, surfaced, and cited by AI	Distribution confirmations, clip counts, impressions
AI citation tracking	✓ 20 prompts × 5 engines = 100 observation points per audit	— Not part of the wire model
Engine coverage	ChatGPT · Perplexity · Gemini · Claude · Google AI Mode	—
Execution layer	✓ Placements negotiated + delivered, coverage report included	— You pitch; the database is the product
Crypto fit	Native, 10 Web3 verticals, sector benchmarks	Generalist; crypto is one category of thousands
Methodology	✓ Published weights, reproducible scores	Proprietary media rankings
Best-fit buyer	Web3 teams who need coverage that AI cites	Multi-industry comms teams running high-volume distribution

The honest read / 02

Where each one actually wins.

Cision has run corporate comms for decades. The question is whether that model fits a crypto launch in the AI-search era.

citeOS wins on

Coverage that gets cited, not just published

The metric is citations. We track whether ChatGPT, Perplexity, Gemini, Claude, and Google AI Mode actually surface your coverage, the wire model stops at "distributed."
Depth where it counts. 500+ crypto outlets scored on DR, reach, Google News, homepage TTL, and sector fit beats 250,000 unscored contacts when your buyers are in Web3.
No seats, no annual lock. Start at $0; pay per campaign in USDT.

Cision wins on

Corporate comms at scale

Multi-industry breadth. If you're a comms team distributing across healthcare, finance, and consumer simultaneously, a 250,000-outlet database is the right tool.
Enterprise comms workflows. Media monitoring, IR distribution, regulatory disclosure wires, mature infrastructure citeOS doesn't try to replicate.

Where they're similar

Distribution is table stakes

Both can get a story in front of journalists at scale.
Both report on where coverage landed.
Both are tools plus services at the higher tiers.

We score every comparison on published criteria, engine weights, signal math, all of it public.

ChatGPT .24Gemini .20Google AI Mode .20Perplexity .14Claude .11Entity coherence .11

See methodology →

Fair questions / 03

About this comparison

Is this comparison sponsored?+

No. We have no relationship with Cision and have never received anything from them.

Have you actually used Cision?+

Yes, teams we work with came off per-seat wire subscriptions, and we've run distribution through legacy wires ourselves. The pattern we kept seeing: high "sent" counts, low indexed coverage, zero AI citations. That gap is why citeOS exists.

When should I pick Cision over citeOS?+

If you're a multi-industry comms team that needs monitoring, IR wires, and high-volume distribution far beyond crypto, the legacy platform is built for that. If your audience is Web3 buyers and the goal is being cited where they research, start with our free scan.

Where's your data from?+

Every citeOS number on this page comes from our published scoring system: 20 buyer-style prompts × 5 engines = 100 observation points per audit, 500+ ranked crypto outlets, 3,646 audited citation events. The methodology is public.