B2B · agencies
The back-office for Wikipedia and AI visibility work — on your terms.
Two cooperation models, an NDA option, and a volume discount that scales with order size — 5% to 12%, custom for large portfolios. We bring 15 years of editorial workflow; you bring the relationship.
What you get
B2B / Agency Cooperation
We act as your back-office for Wikipedia and AI visibility work. Two models: 20% referral cashback, or white-label where we deliver and you keep the client relationship.
- White-label option with NDA
- Volume discounts by order size — 2 pages 5%, 3 → 7%, 4 → 10%, 5+ → 12% (10+ custom)
- 20% cashback referral program
- Bulk multi-language Wikipedia portfolios
Starting price
Tiered partner discounts
Typical timeline
Per project
Best for
- · PR & reputation agencies
- · SEO & digital agencies
- · Legal firms supporting executives
Two cooperation models
Pick what fits your client mix
20% referral cashback
You introduce a client; we deliver. After the project closes, you receive 20% of the project value as cashback. Clean, low-effort, no client-side execution.
White-label delivery
We act as your back-office. You keep the client relationship, set your own price, brand the deliverables your way. NDA standard.
Volume scale
Discounts scale with how many pages you order: 2 → 5%, 3 → 7%, 4 → 10%, 5+ → 12%. Beyond 10 pages we quote a custom rate — talk to sales. Ongoing portfolios price as portfolios, not single projects.
Fit
Agencies we work with
- PR & reputation agencies wanting to add Wikipedia and AI visibility to their offer
- SEO and digital agencies whose clients are asking about Wikipedia notability
- Law firms supporting executives on Wikipedia presence and disputes
- Crisis communications firms that need a Wikipedia partner pre-incident
SaaS vertical
What actually counts for SaaS Wikipedia notability
A lot of the press a SaaS company is most proud of doesn't move the needle inside Wikipedia review. Here's the honest read — strong signals on the left, weak signals on the right — so you can set client expectations before scoping work.
Strong signals
Carry real weight in Wikipedia review
- Series B+ funding rounds led by named, established VCs
- Substantial coverage in tier-1 analyst sources: Gartner Magic Quadrant, Forrester Wave, IDC MarketScape
- In-depth product reviews in tier-1 / tier-2 trade press with editorial oversight
- Major industry awards that themselves have a Wikipedia presence
- Substantial keynote slots at recognised industry conferences
- Regulatory filings and public-company disclosures
Weak signals
Rarely enough on their own
- Product Hunt / G2 / Capterra listings on their own — community-rated, not independent editorial
- Founder podcast appearances — essentially first-party content
- Sponsored placements and "as featured in" press-release wires
- Investor blog write-ups of portfolio companies
- Self-published case studies and white-papers
Why this matters now
VC associates, corporate-development teams and M&A advisors check Wikipedia early in pipeline screening. A page that's missing, deletion-flagged or stub-quality reads as a maturity signal. The fix is upstream — build the source base before the review happens, not push for a page on thin coverage.
Frequently asked questions
Answers to the questions that come up before signing
B2B & agency cooperation
Do you work with PR and SEO agencies on a white-label basis?
What volume discounts do you offer agencies?
How does the 20% referral cashback work?
Can agencies co-sign or rebrand deliverables?
What types of agencies do you typically partner with?
Where to next
Pages readers open after this one
Want to add Wikipedia and AI visibility to your offering?
Let's run a 30-minute call to map your client base and pick the cooperation model that fits.