Track brand health continuously with AI-explained dashboards.
Marketing & Salestimelaps.ioTracked since 2026-08-191 discovery source
381Backlinks
87Referring domains
15Domain authority
+20.0%Referring domains · 90 days
Authority & distribution
How strong is Timelaps’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
381Current snapshot
Referring domains
87Current snapshot
Authority
15Domain authority · category median 22
90-day move
+20.0%Referring domains, last 90 days
At 15, Timelaps 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.
“Timelaps”
Track brand health continuously with AI-explained dashboards.
Marketing & SalesSeen 2026-08-19 → 2026-08-19Coverage 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.timelaps.io/
Observed across 1 discovery source.
Research questions
What the evidence answers about Timelaps.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What features, surfaces, or integrations does Timelaps offer?
Timelaps offers AI-explained dashboards that provide continuous brand health tracking across the full funnel. Key features include always-on measurement of the brand funnel, identifying winning moments (category entry points), analyzing brand associations, and pinpointing advertising recall to understand what is moving the needle.
What is Timelaps and what problem does it solve?
Timelaps is an AI-native brand tracker that continuously measures brand health for B2C companies. It addresses the problems of slow, expensive, and unactionable brand tracking by providing always-on dashboards with AI-explained insights, replacing traditional methods that take 3-6 months for initial results and cost six figures. The platform is designed to make brand intelligence five times more accessible.
What is Timelaps used for and in what situations?
Timelaps is used for continuous, always-on brand health tracking across the full marketing funnel. It helps companies understand if their brand marketing is working by measuring aspects like brand funnel metrics, category entry points (moments), brand associations, and advertising recall. The situation is typically for B2C companies seeking ongoing, AI-driven brand intelligence rather than periodic, manual reports.
Who is Timelaps for?
Timelaps is specifically built for B2C (Business-to-Consumer) companies. The homepage and product description repeatedly state it is 'for B2C Companies' and targets fast-growing companies that need brand intelligence, which were previously inaccessible due to high costs.
What is Timelaps?
Timelaps is an AI-native brand tracking platform designed for B2C companies to continuously monitor brand health and marketing effectiveness through automated, AI-explained dashboards. It is categorized within the Marketing & Sales sector.
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 Timelaps 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