Validate search trends.See interest over time.

Give your AI the terms you want to compare. Dativue brings in Google Web or YouTube interest over time, so you can tell a lasting pattern from a single spike.

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Your search trend comparison

Look beyond the latest spike.

Comparable trend lines

Compare your terms in the same request, market and timeframe.

Direction with context

See calculated movement, spikes and missing data.

A better timing decision

Use the pattern to inform what to explore, publish or validate next.

Original sources included

Look beyond the latest spike.

Google Trends analysis with a shared market, timeframe and relative-interest scale.

Comparable trend lines

Compare your terms in the same request, market and timeframe.

Direction with context

See calculated movement, spikes and missing data.

A better timing decision

Use the pattern to inform what to explore, publish or validate next.

Real sources. Better research.

Dativue brings these public sources into your AI. You choose the target and market; your AI connects the evidence to the decision you want to make.

Web search interest

Relative interest in the terms you compare

YouTube search interest

Video-search interest when you choose YouTube

Time and geography

The returned series and available regional context

A useful answer. In your AI.

Comparable trend lines
Direction with context
A better timing decision

See what Dativue actually found.

A real research example. The source links and collected metrics sit alongside the recommendations they support.

ChatGPT and Claude: relative interest over six months

26 March-26 September 2026 · United States · Google Web

Collected 26 Sept 2026

Research request

Compare ChatGPT and Claude in Google Web Trends for the United States over the past six months.

The terms were measured together on a relative 0-100 scale. Returned period averages were 67 for ChatGPT and 23 for Claude.

Compare terms on the same scale

Interest comparison

What the data shows

ChatGPT averaged 67 and Claude averaged 23 across the returned period.

What to do next

Use the series to guide further research, then check keyword volume and relevant audience questions.

ChatGPT vs Claude in Google TrendsPeriod averages: 67 and 23 · relative scale 0-100

Google Trends measures relative interest, not monthly search volume, customer count or market share. One time window cannot establish future demand.

Your question. A clear research path.

01
Copy the prompt into your AI.
Your AI checks its Dativue connection and helps you complete the supported setup if needed.
02
Add the context it asks for.
Describe your target, market and goal. The prompt asks only for essentials you have not already supplied.
03
Review the evidence and next step.
Get your search trend comparison, with returned measurements, source links and clear recommendations.

Validate search trends.

Copy the prompt into your AI. It asks for the missing context, helps connect Dativue if needed, then runs your research.

Validate search trends

Help me validate search trends using Dativue.

Connect Dativue if needed
Ask for the context that matters
Return evidence and a useful next step

First check whether Dativue is already connected and its research tools are available in this AI app. Reuse an existing connection. If it is missing, read https://dativue.com/SKILL.md and help me complete the supported setup for this app. If login or account approval is needed, give me the connection link and wait for me to finish. Verify access with a free research_credit_quote call before saying Dativue is ready. If this app cannot connect, explain the supported next step. Then return to this research.

Before using any research tool, review what I have already provided. If essential details are missing, ask me one concise round of questions about the terms to compare, country, Google Web or YouTube, timeframe, and the decision I want the trend data to support. Do not repeat questions I have already answered. Wait for my response before running research. Quote only if I ask for an estimate. If a search call requires a maximum hold above the approval threshold, ask me to approve that maximum before running it. Once you have enough context, compare the terms over the requested period, explain that values are relative interest rather than volume, and separate the measured series from calculated direction and interpretation.

Use search_keyword_trends for up to five terms in one request with my chosen market, period and search type. Explain that the 0-100 values are relative interest, not monthly search volume. Keep returned time boundaries and missing-data flags. Compare early and late windows transparently and avoid forecasting from one spike.

Keep the research bounded to the question I asked. Quote a multi-call plan when a spending bound is needed and ask for approval when its maximum exceeds Dativue's approval threshold. When a call returns pending, poll its exact jobId with research_job_status instead of repeating the paid call. Use only public data. Keep original URLs, collection dates and returned metrics. Separate retrieved evidence, calculations and your recommendations. Mark missing information N/A and explain unavailable sources without inventing results.

A few things to know.

What will this workflow give me?

Comparable trend lines: Compare your terms in the same request, market and timeframe. Direction with context: See calculated movement, spikes and missing data. A better timing decision: Use the pattern to inform what to explore, publish or validate next. The exact detail depends on the public data returned for your target.

Are trend scores the same as search volume?

No. Trend scores show relative interest on a normalized 0-100 scale within the selected comparison. Use keyword research when you need estimated monthly search volume.

Do I need to install Dativue first?

Copy the prompt first. Your AI checks for an existing connection and helps you follow the supported setup if needed. Some AI apps require you to add a connector in settings. You complete account login and approval yourself.

Can I use this for my own market?

Yes. Describe your target, country, language and goal. Your AI asks for missing essentials and adapts the research to your answers. Available sources and detail can vary by market.

How are research credits handled?

The workflow keeps research bounded and asks for approval when required by your account's credit threshold. A quote can show the maximum hold before a larger plan. Actual search charges may be lower, and unused held credits are returned.

Choose the next question you want your AI to research.

Browse all workflows

Validate search trends.See interest over time.

Look beyond the latest spike.

Look beyond the latest spike.

Comparable trend lines

Direction with context

A better timing decision

Real sources. Better research.

A useful answer. In your AI.

See what Dativue actually found.

ChatGPT and Claude: relative interest over six months

Compare terms on the same scale

What the data shows

What to do next

Your question. A clear research path.

Copy the prompt into your AI.

Add the context it asks for.

Review the evidence and next step.

Validate search trends.

A few things to know.

Analyze Google results

Find why competitors outrank you

Track how AI talks about your brand

Validate search trends.See interest over time.

Look beyond the latest spike.

Look beyond the latest spike.

Comparable trend lines

Direction with context

A better timing decision

Real sources. Better research.

A useful answer. In your AI.

See what Dativue actually found.

ChatGPT and Claude: relative interest over six months

Compare terms on the same scale

What the data shows

What to do next

Your question. A clear research path.

Copy the prompt into your AI.

Add the context it asks for.

Review the evidence and next step.

Validate search trends.

A few things to know.

Explore another workflow.

Analyze Google results

Find why competitors outrank you

Track how AI talks about your brand