TAFFI is a plug-and-play AI Stylist for e-commerce, enhancing online stores with a hyper-personalized shopping experience to increase order value and sales conversion.
Marketing & Salestaffi.coTracked since 2026-08-211 discovery source
386Backlinks
258Referring domains
16Domain authority
+133%Referring domains · 90 days
Authority & distribution
How strong is TAFFI’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
386Current snapshot
Referring domains
258Current snapshot
Authority
16Domain authority · category median 22
90-day move
+133%Referring domains, last 90 days
At 16, TAFFI sits below 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.
“TAFFI”
TAFFI is a plug-and-play AI Stylist for e-commerce, enhancing online stores with a hyper-personalized shopping experience to increase order value and sales conversion.
Marketing & SalesSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.taffi.co
Observed across 1 discovery source.
Research questions
What the evidence answers about TAFFI.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What is the core function of TAFFI?
TAFFI is a plug-and-play AI Stylist designed for e-commerce platforms. It enhances online stores by providing a hyper-personalized shopping experience. The primary goal is to increase both order value and sales conversion for merchants.
What problem does TAFFI solve for e-commerce stores?
TAFFI addresses the need for increased sales conversion and higher order values in online retail. It solves this by offering personalized style recommendations, which aim to improve the shopping experience and customer engagement.
Who is the intended user of TAFFI?
TAFFI is intended for e-commerce merchants, particularly those on platforms like Shopify, who want to enhance their online stores. It is also relevant for developers working in fashion tech and digital marketing who are focused on conversion rate optimization.
What key features or capabilities does TAFFI offer?
TAFFI offers a plug-and-play AI Stylist that provides hyper-personalized product recommendations. Its tags indicate capabilities in personalized shopping, conversion rate optimization, and style recommendations. It also lists features related to Audio Transcription and Video Creation.
How does TAFFI integrate with e-commerce platforms?
TAFFI is described as a 'plug-and-play' solution, suggesting a simple integration process. A key tag explicitly mentions 'Shopify integration', indicating a specific platform compatibility.
In which market category is TAFFI classified?
TAFFI is classified under the 'Marketing & Sales' category. This classification has a high confidence score of 0.9, based on its function as an AI stylist plug-in to increase conversion and order value.
Behind the lock
Unlock full TAFFI 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.
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