Google + SEMrush + GSheet Agent

This guide explains what the Google + Semrush + GSheet agent does, when to use it, what you need, and the exact steps to get value without wading through jargon.

What this agent is

One agent that brings together:

• Google Ads insights across Search, Performance Max, Demand Gen, Shopping, YouTube, and Display.
• SEMrush competitive and keyword intelligence.
• A Google Sheet as your source of truth for any third-party data you want to join to the analysis.

Use it to answer practical questions fast, then turn answers into actions.

When to use it

• You want a single place to check campaign performance and budget pacing across networks.
• You need competitive context from SEMrush to sharpen targeting, keywords, or content.
• You have offline or third-party data in a Sheet and want the agent to read it and reason with it.

What you need before you start

• For Google Ads: Access to an active Google Ads account.
• For Semrush: A SEMrush query or at least a brand website / industry to analyze.
• For GSheet: A Google Sheet that is shared “Anyone with the link” and set to Viewer, Commenter, or Editor.

Quick start

1. Pick your Google Ads account.

2. Choose the agent: “Google + Semrush + GSheet.”

3. Warm up the context.

   • For account questions: run "Get details of {adaccountID}."
   • For pure SEMrush questions: provide a brand or domain instead.

Google Ads: what you can do

Campaign types covered: Search, Performance Max, Demand Gen, Shopping, YouTube, Display.

Launching Soon: Hotels, and UAC

Performance and pacing

• Rollup performance, daily trends, and day-over-day shifts across Search, PMax, Demand Gen, Shopping, YouTube, and Display.
• Budget pacing, impression share loss, and target vs actual CPA or ROAS.

Keywords and search terms

• Performance by match type, quality score, or campaign.
• Search term mining with word frequency and trend spotting.
• Suggested negatives, winners to add as keywords, and waste to cut.

Audiences and targeting

• Demographic breakdowns by age, gender, income, and parental status.
• Geography and device splits.
• Audience discovery with performance context.

Creatives and assets

• Asset-level performance for headlines, descriptions, images, and videos.
• PMax asset group analysis, including signals like search themes and audience signals.
• Ad-level performance to find creative fatigue or breakout ads.

Shopping and e-commerce

• Product performance by item, brand, category, product type, or labels.
• Drill from account to campaign to ad group to product rows.

Placements and Display

• YouTube channels and videos with efficiency scoring.
• Non-YouTube site and app placements with segment analysis.

Negative keyword management

• Exclusions at account, campaign, ad group, and shared sets.
• See which campaigns are hooked to which shared lists.

Reporting

• Generate shareable reports to cloud storage.
• Export to CSV or PDF when you need to share outside.

Structure

• Pull account, campaign, and ad group details including key settings and bidding strategies.

Example prompts

• “Give me a 30-day performance rollup for PMax and Search, plus day-over-day changes for the last 7 days.”
• “List search terms in India that spent over ₹25,000 with ROAS under 1 in the last 14 days. Propose negatives.”
• “Show the top 20 YouTube placements by conversions and flag underperformers to exclude.”
• “For Shopping, rank products by wasted spend”
• “Compare CPA vs target by campaign and call out budgets that need a move.”

SEMrush: what you can do

Competitive intelligence

• Domain overview: organic and paid traffic, ranking spread, and growth signals.
• Competitor discovery: find true search competitors for your domain.
• Keyword gap: see keywords they win that you miss, ranked by potential.

SEO and content planning

• Organic keyword research for any domain or list.
• Keyword difficulty to gauge effort required to reach top results.
• Related keywords to expand clusters.
• SERP lookups to see who ranks in the top 100 and why the page likely wins.

PPC intelligence

• Paid keyword portfolios for competitor domains.
• Who bids on a given keyword.
• Batch analysis for up to 100 keywords at once.

Market sizing and geo

• Traffic estimation and multi-country databases to choose markets.

Example prompts

• “Show me the keyword gap vs nike.com for running shoes in the UK. Prioritize high intent and realistic difficulty.”
• “List 30 related keywords around ‘carbon plate trainers’. Group by theme and mark likely search intent.”
• “Who is bidding on ‘trail running shoes’ and what other paid terms do they protect?”
• “Which referring domains link to my top competitors but not to us?”

Using a Google Sheet as source of truth

If you want the agent to use external or offline data:

1. Paste the Sheet link in chat with open sharing.
2. Specify the timeframe and the tab to use.
3. Ask questions about that data, or ask the agent to blend in with Google Ads or SEMrush insights.

Tip: Keep column names clean and consistent. The fewer ambiguities, the faster the agent answers. You can follow this template (opens in a new tab) for reference.

Guardrails and tips

• Warm up the agent with account context first. It answers faster and more precisely.
• Be explicit about time ranges and currency.
• When you paste a GSheet, always name the tab to avoid confusion.
• Prefer concrete asks: “Flag terms over ₹X spend and ROAS under Y in the last Z days” beats “I need CPC data for the account.”