Export the same date window from Google Ads and Google Search Console, preserve each platform’s native metrics, normalize the query text, and let AI sort the combined data into decision queues. Use Google Ads to understand paid demand and conversion performance. Use Search Console to understand organic visibility, clicks, CTR, and average position. Then review the overlap by intent and landing page before changing keywords, budgets, negatives, or content.

The useful output is not a single “paid versus organic” score. It is a short list of queries that deserve a specific next step – and a clear record of what the data cannot prove.

Google Ads search terms show the searches that triggered ads and how the visible terms performed. For Search campaigns, the report can include campaign and ad-group context, the triggering keyword and match type, impressions, clicks, CTR, average CPC, cost, conversions, and cost per conversion.

That is strong evidence for paid-search decisions, but it is not a complete record of every query. Google omits some low-volume terms for privacy. A missing term therefore does not always mean the account received no paid impressions for it.

Search Console query data shows organic clicks, impressions, CTR, and average position. You can also segment or filter it by page, country, device, and search type. It does not report Google Ads cost or conversions, and average position is an aggregate – not a fixed rank that every searcher saw.

Search Console’s API returns top rows within its limits rather than guaranteeing every possible query. Recent data can also be incomplete. For a stable comparison, use finalized Search Console data and end the window at yesterday or earlier.

These queries appear in both datasets. They are candidates for coordination, not automatic paid cuts. Review whether the query is branded or non-branded, how much paid traffic converts, where the organic result appears, and whether the paid and organic listings lead to the same page and promise.

A strong organic result can coexist with valuable paid coverage. The combined presence may protect brand demand, increase total search-result visibility, or let you test a different offer. You need an experiment – not a spreadsheet join – to estimate incrementality.

These are paid search terms with meaningful spend or conversions but no matching organic query row. They often reveal SEO and content opportunities: a missing comparison page, a weak product page, or a commercial topic the organic site does not yet capture.

Treat “paid only” as a working label. The organic query may be absent because Search Console did not return it, the site has too little visibility, or your normalization missed a close variation. Validate important terms in Search Console and inspect the relevant landing page before assigning an SEO project.

These queries generate organic impressions or clicks but do not appear in the paid export. Commercial terms may deserve a controlled Google Ads test. Informational terms may be better left to SEO, used for audience education, or excluded from a bottom-of-funnel campaign.

Do not add every high-impression organic query as a keyword. Search intent, expected economics, landing-page fit, and the campaign’s job still matter.

This queue holds queries with weak volume, ambiguous intent, mismatched geography or device, conflicting landing pages, or incomplete coverage. It keeps uncertain rows out of the action list until a person can investigate them.

Choose one date window and decide whether the analysis is account-wide or limited to a campaign, country, device, brand segment, or product line. If the business serves several markets, compare like with like instead of joining worldwide organic data to a country-specific paid campaign.

Pull the Google Ads search terms for the same window. Keep the raw search term, campaign, ad group, triggering keyword, match type, impressions, clicks, cost, conversions, and cost per conversion. Use a CSV export rather than analysing only the first rows shown in chat.

Pull Search Console query data for the same window, with clicks, impressions, CTR, and average position. Add page as a dimension only when landing-page mapping is important; doing so changes the row grain, so the AI must aggregate queries before comparing them at query level.

Create a normalized query key by lowercasing, trimming spaces, and standardizing obvious punctuation. Keep the original query from each source beside it. Group singulars, plurals, misspellings, or semantically similar phrases into themes only after the exact-query join, and label those theme matches as inferred.

Ask AI to preserve source-specific metrics, classify intent, assign each query to one of the four queues, and recommend a next step with a confidence note. Useful actions include:

A PPC or SEO practitioner should approve any keyword, negative, bid, budget, landing-page, or content change. The join can prioritize work; it cannot establish causality, forecast traffic reliably, or prove that removing paid coverage will preserve total conversions.

Suppose “construction project management software” converts efficiently in Google Ads and also receives strong organic impressions. That is an overlap query. The next step may be to keep paid coverage while testing whether the ad and organic result serve different messages – not to pause the campaign immediately.

If “best construction accounting software” converts through paid search but has no organic visibility, it belongs in the paid-only queue and may justify a comparison or product page.

If “construction scheduling template” earns organic clicks but has informational intent and no paid activity, it may be working exactly as intended. Organic visibility alone is not a reason to add it to a bottom-of-funnel campaign.

HireOtto can pull the two inputs inside the same AI workspace: Google Ads search-term performance from the Ads server, and organic query or page performance from the Search Console server. You can request matching date windows, filter Search Console by country or device, export both reports to CSV, and ask the AI to normalize the queries and build the four decision queues.

HireOtto can also support the approved follow-up on the Ads side, such as adding keywords or negatives, but the comparison should remain review-first. Search Console and Google Ads both omit some query detail; Search Console does not supply conversion data; and no cross-platform join can prove incrementality. Keep a human approval gate for paid changes and route SEO recommendations into the content or technical backlog.

See the HireOtto Search Console reporting guide, Google Ads reporting guide, and getting-started setup guide.

No. Search Console describes queries where your site already received organic visibility. Keyword Planner helps explore broader paid-search demand and historical keyword metrics. Use them together for different jobs.

Not from this analysis alone. Check paid conversion value, branded versus non-branded intent, landing-page differences, competitive pressure, and total-result visibility. If the query matters, use a controlled experiment to estimate incrementality.

The platforms measure different surfaces and apply different aggregation and privacy rules. Google Ads omits some low-volume search terms; Search Console returns top rows rather than every possible query and aggregates position. Use the join for prioritization, not accounting reconciliation.

Yes. Matching windows remove one major source of noise. For Search Console, prefer finalized data ending at yesterday or earlier; use fresh data only when you accept that it may change.

It can prepare and, where supported, execute approved Google Ads actions. It should not decide on negatives, keywords, bids, budgets, or campaign pauses from the join without a practitioner reviewing intent, economics, and landing-page fit.