TrendSift Google Trends rising searches · products / sites / ads
Keyword detail

Bioid

Proximity-dependent biotin identification (BioID) is a tool used in biological research to identify candidate proteins within a specific protein's interactome.

Long-term growth Competitive
4KMonthly searches
-4.5%90-day growth
+100.6%12-month growth
FacebookMain platform

History

201520202025

Covers 181 months, 2011-09 to 2026-09 · Peaked in 2026-06; now at 83% of peak

This run startedStarted rising in 2021-03, 66 months ago · From 9.7 to 92.3, up +855%

Last 24 months

What to build with it

Monthly searches: 3,600 · 90-day growth: -4.5% · 12-month growth: +100.6%

The history spans 181 months; current interest is 83% of the historical peak.

"Bioid" is a product name, not a need — cloning it is pointless. Mine its complaints and pick one pain point for a small tool.

This is seasonal demand that peaks in November; a product launched later barely catches any volume.

Metric

MetricValue
Estimated monthly searches3,600
90-day growth-4.5%
12-month growth+100.6%
Listed for54 months
CarrierWebsite / App / SaaS
FormConsumer app
Opportunity typeFlat
StageLong-term growth
WindowCompetitive
Seasonality42%
Volatility8%

Seasonality

Jan
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Channel mix

Facebook333
LinkedIn197
Instagram162
YouTube90
TikTok76
Pinterest27
Reddit10

Social mentions by channel. The leading one is usually the cheapest place to start.

Score breakdown

Growth10030%
Scale8530%
Stability10018%
Freshness012%
Coverage8510%

Opportunity score:81.9 / 100

Related opportunities

Frequently asked questions

What is the monthly search volume for Bioid

About 3,600 searches per month (estimate); -4.5% over the last 90 days.

Is Bioid better for a website or a product

It mainly comes down to the carrier and the form. Digital product: delivered online, so acquisition cost and monetisation matter most.

Search interest comes from Google Trends. Monthly volume is an estimate converted with standard keyword-tool methodology, while growth and scores are computed by us from the historical curve. About the data