No product description has been published for this domain yet. Everything below is measured directly.
Marketing & Salesaffistash.comTracked since 2026-08-192 discovery sources
1.5KBacklinks
310Referring domains
24Domain authority
-14.1%Referring domains · 90 days
Authority & distribution
How strong is Affistash’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
1.5KCurrent snapshot
Referring domains
310Current snapshot
Authority
24Domain authority · category median 22
90-day move
-14.1%Referring domains, last 90 days
At 24, Affistash sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Affistash”
No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.
Marketing & SalesSeen 2026-08-19 → 2026-08-21Coverage tier C
What we have measured
5 of 8 signal groups are available for this product: identity, traffic and engagement, authority and backlinks, AI referrals, search demand.
Not measured for this domain: audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Affistash do and what problem does it solve?
Affistash is an AI-powered platform that helps brands find, contact, and recruit affiliate marketing partners. It solves the problem of manually spending hours finding and personalizing outreach to the right affiliates by using AI and machine learning to search the entire internet and match brands with ideal partners.
What features or capabilities does Affistash offer?
Affistash offers features to build affiliate lead lists, including verified contact information for editors, publishers, or executives, and detailed audience analytics covering traffic, engagement, interests, and geographical data. It searches the entire internet to find partners, not just from a single network or database.
What is Affistash used for and in what situations?
Affistash is used for discovering and recruiting high-quality affiliate marketers. It is used by brands, agencies, and affiliate managers who need to quickly build a targeted list of potential partners, get verified contact information, and access audience analytics to grow their affiliate programs.
Who is Affistash for?
Affistash is for brands, agencies, and affiliate marketing consultants or directors who manage affiliate programs and need to find the right partners to reach their target audience and generate sales.
What is Affistash?
Affistash is an AI-powered affiliate marketing platform that simplifies the process of discovering, contacting, and recruiting high-quality affiliate partners for brands.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Affistash intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
Traffic and engagementMonthly visits, the history behind them, and what visitors do once they arrive.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured