Keywords

The Keywords node returns the keywords you're actively bidding on in Google Ads, paired with quality score, post-click experience signals, and derived efficiency metrics over a configurable date range.

When to use this node

Use the Keywords node for tasks such as:

• Bid management: identify which keywords are spending efficiently and which are wasting budget

• Quality score audits: surface keywords with low quality scores dragging down overall ad performance

• Identifying underperformers: flag keywords with high cost but low CVR (conversion rate), CPA (cost per acquisition), or ROAS (return on ad spend)

• Cross-channel visibility audits: cross-reference keywords you're bidding on against Profound AI Visibility data to find where you're paying for clicks you already win organically

Node configuration

Google Integration (required)

Select a previously connected Google account, or click + Add integration and follow the prompts to connect one. This is a one-time setup. Once you add an integration, it's available in all future sessions until you remove it in Account Settings > Integrations.

Google Ads Account (required)

Select the Google Ads customer account from the dropdown. The picker handles both Manager accounts and sub-account selection.

Campaigns

Select the ad campaigns from the dropdown. To include every active campaign, leave the field empty.

Ad Groups

Select the ad groups from the dropdown. To include every ad group within selected campaigns, leave the field empty. To see the ad group options in the dropdown, select at least one campaign in the Campaigns field.

Date Range (required)

Select the date range to pull keyword performance over. Choose from available presets (today, yesterday, last 7 days, and others) or set a custom range.

Output Fields

Select the fields to include in the output. The options include metrics and campaign details, such as Impressions, Clicks, Conversions, Campaign Type, and Bid Strategy Type. To return output unfiltered, leave this field empty.

Output Label

Enter a descriptive label for this step's output, for example keyword_data or keyword_performance_last_7_days. The label becomes the variable name you reference in later nodes.

Output

The node outputs JSON data containing your active keywords, along with:

• the keyword text

• keyword quality score

• post-click experience

• performance metrics: CTR, CPC, CPA, and others

Pass the output to:

• 📄 Prompt LLM for AI analysis: quality score audit reports, bid management recommendations, underperformer identification

• ​Prompt Responses node for the most powerful use: cross-reference keywords you're bidding on against AI prompt answer data to find queries where you're paying for traffic you already win organically, or topics with strong AI presence where you're not yet bidding

• Google Sheets (Write Row) node to build a keyword performance tracker and log results over time for trend analysis

Example usage: Cross-channel keyword visibility audit

Set up an Agent to find where you're paying for clicks you already win organically in AI answers, and save the report to a Profound Document. Here is the example structure:

1. Keywords node

• Select your Google Integration and set Google Ads Account to your Google Ads account

• Set Date Range to Last 7 days

• Set Campaigns, Ad Groups, and Output Fields filters as needed

• Set Output label to bidded_keywords

2. 📄 Visibility Score node

• Set the Metric to Visibility Score

• Set Date range to Last 4 weeks

• Click + Add filter > Topics, and select the topics you want to measure your visibility by

• Add Topics as a Dimension option to make the output a separate visibility score per topic rather than a single aggregated value

• Set Output label to ai_visibility_data

3. Code node

• Use Agent Assistant to add custom logic to cross-reference bidded_keywords with ai_visibility_data, match paid keywords whose text contains an AI-visible asset name, sum the overlap spend, and rank the underperforming keywords by cost

• Set Output label to cross_reference_result

4. 📄 Prompt LLM node

• Enter the prompt:

  Produce a cross-channel visibility audit report from {{cross_reference_result}}.
  
  Sections:
  - Executive Summary — overlap % of paid spend vs. organic AI 
  wins + headline recommendation.
  - Spend at Risk — table: Total Paid Spend | Overlap Spend | Overlap %.
  - Top Overlap Keywords — table of top 15: Keyword | Cost | Clicks | 
  Conversions | Matched Asset | AI Visibility. Follow with 3–5 callouts for strongest 
  cut candidates (high cost + high AI visibility + low conversions).
  - Recommended Actions — 4–6 prioritized bullets with specifics 
  (e.g. "Pause exact-match on [keyword] — savings: $X/period").

• Set Output label to cross_channel_audit

5. Profound Docs - Create Doc node

• Select the Google account from the dropdown list

• Enter any document text you need in the Initial Content field, and use cross_channel_audit variable

• Enter Document Name, for example “2026-05-01 Cross-channel keyword audit”

Best practices

Scope by campaign and ad group

Pulling all keywords data from all campaigns and ad groups at once can return an unmanageably large dataset. Use the built-in campaign and ad group filtering to scope results before passing them to subsequent nodes.

Use 📄 List Campaigns node to discover the active campaign set first, map campaign names to IDs, or fan out the workflow across every campaign dynamically.

Pair with Profound data

Keyword Performance is useful on its own, but combined with Profound data nodes (such as Prompt Responses, 📄 Visibility Score, and so on), it becomes a cross-channel strategy tool. There's no clear way to tell which of your paid search terms are also surfacing in AI answers without connecting both data sources.

Use Agent Assistant

Working with both Keywords data and Profound AI visibility data can have a learning curve. Use Agent Assistant to build a working Agent faster, and then edit the Agent as needed to better match your use case.