Compare more than 5 keywords
in Google Trends
Up to 10 keywords on one 0-100 scale, charted together and ranked by average and peak interest. 5 free comparisons a day, no account.
Get past the 5-keyword limit with an anchor term
Google Trends scores every comparison on its own 0-100 scale, where 100 is the highest point among the terms in that comparison. Classic Explore takes 5 terms at a time, so a list of 10 competitors, product names or content topics ends up split across charts whose numbers do not line up.
The fix is an anchor: one keyword that appears in every comparison. This tool puts your first keyword into each request alongside up to 4 others, then multiplies each request by how the anchor scored in the first request against how it scored in that one. That turns every request into the first request's scale. Finally the highest point across all lines is set to 100, so the chart reads like one Google Trends chart with 10 lines. Ten keywords take three requests.
SEO and content teams use it to rank a long topic list before writing, and to see which competitor brand is gaining interest. Developers who relied on pytrends, now archived on GitHub, use the same method through the Google Trends API, which returns interest over time, interest by region and related queries as JSON. To chart a single keyword with its rising related queries, use the Google Trends explorer.
How to compare more than 5 keywords in Google Trends
- 1
Enter up to 10 keywords
Type one keyword per line or separate them with commas. Put a well-known, steady keyword first: it becomes the anchor that ties every request to the same scale.
- 2
Pick a country and time range
Choose Worldwide or a country, and a range from the past 7 days to the past 5 years.
- 3
Read the combined chart and ranking
See every keyword as a line on one 0-100 scale, then a table ranked by average interest with each keyword's peak, peak date and latest value.
Frequently asked questions
How do I compare more than 5 keywords in Google Trends?+
Split your list into groups that all include the same anchor keyword, run each group as its own comparison, then rescale each group by how the anchor scored in it against the first group. This tool does that for up to 10 keywords: it sends the anchor plus 4 keywords per request, multiplies each request by the anchor's ratio, and sets the highest point across every line to 100, so all keywords read on one scale.
Why can't I just put 10 keywords into Google Trends?+
Classic Google Trends Explore compares at most 5 terms at a time, and Google's newer Explore allows up to 8 groups. Each comparison is scaled to its own 0-100, where 100 is the highest point among the terms in that comparison. Two separate comparisons are on different scales, so you cannot line their numbers up without a shared term to convert between them.
What is the anchor keyword and how should I choose it?+
The anchor is the first keyword you enter. It goes into every request, and its score in each request is what converts that request onto the scale of the first one. Pick a term whose popularity sits in the middle of your list and stays steady. If the anchor is far bigger than the others, small keywords round down to 0 or 1 in their requests and their lines get coarse. If the anchor has no search interest at all, the other requests cannot be rescaled.
How accurate is the combined scale?+
Within one request the numbers are exactly what Google Trends returns. Across requests the method is as accurate as the anchor's numbers: Google rounds every point to a whole number, so a keyword that stays below 3 in its own request carries more rounding error, and the table marks those keywords.
Is this a pytrends alternative?+
Yes. pytrends, the unofficial Python library many teams used for Google Trends, is archived on GitHub and no longer maintained. The Scavio Google Trends API returns the same interest-over-time data as JSON over a plain HTTP request, with no library of your own to keep patched when Google changes its backend, and accepts up to 5 comma-separated terms per request, so you can run this anchored method from any language.
What do the numbers mean?+
Google Trends divides each data point by the total searches in that place and time range, then scales the result from 0 to 100. The numbers show relative interest, not search volume: 50 means half the interest of the highest point on the chart. Terms with very low search volume show as 0.
Which countries and time ranges can I compare?+
The free tool covers Worldwide plus 13 countries, over the past 7 days, 30 days, 90 days, 12 months or 5 years. Through the API you can pass any Google Trends location code (including regions such as US-CA), a category or a Google property such as YouTube or News.
How is this different from the Google Trends explorer?+
The Google Trends explorer charts one keyword and lists its rising related queries. This tool compares up to 10 keywords against each other on one scale and ranks them. Use the explorer to dig into one topic and this tool to pick between several.
Is it free?+
Yes. You get 5 free comparisons a day with no account, each up to 10 keywords. For more, get an API key: 50 free credits on signup, no card required.
Can I run this comparison from my own code?+
Yes. POST /api/v2/google/trends with { "query": "notion,obsidian,evernote,onenote,google keep", "geo": "US", "date": "today 12-m", "data_type": "TIMESERIES" } returns interest_over_time.timeline_data, where each item has date, timestamp and values[] with one extracted_value per term. A comparison of 2 to 5 terms costs 3 credits, so 10 keywords is 3 requests and 9 credits. The full JSON for every date is available via the API, and the Project plan at $24 a month billed yearly (7,000 credits) covers about 2,300 comparison requests a month.
Charting one keyword with related queries instead? Try the Google Trends explorer, or read the Google Trends API docs.
Compare any keyword list with the Google Trends API
This tool is a few calls on the Scavio API. Compare up to 5 terms per request, anchor longer lists across requests, and pull interest by region and related queries from your own pipelines and agents.