How to Do Google Ads Keyword Research with AI

Use AI for the thinking work and Google Keyword Planner data for the evidence.

Start with seed terms or a landing-page URL, pull keyword ideas for a clearly defined market, shortlist by intent and commercial fit, then request historical metrics for the exact terms you may advertise on. Only after that should you cluster keywords into ad groups and choose match types.

HireOtto brings this workflow into Claude, ChatGPT, or another MCP client. It connects to Google’s Keyword Planner data source, supports keyword and URL seeds, lets you target locations and languages, and returns search volume, advertiser competition, and top-of-page bid ranges. You can keep the analysis in the conversation or export the result to CSV.

A language model can produce plausible phrases quickly. It cannot know current search volume, advertiser competition, or bid ranges unless it queries a live data source. If you ask a model to “find 50 high-volume keywords” without a connected tool, the numbers may be guesses dressed up as research.

The reliable division of labour is simple:

Give the AI enough context to reject attractive but irrelevant ideas. Prepare these inputs:

Be explicit about geography and language. The same phrase can have radically different volume and bid pressure in the United States, India, or the United Kingdom. HireOtto uses Google Search only and English by default; ask for Search Partners or another language when you actually want them.

Begin broad enough to uncover useful language, but narrow enough to stay attached to the offer. Google’s current API supports keyword seeds, a URL seed, or both. Combining a keyword and URL can produce more ideas than using only a URL.

If you are exploring multiple countries, decide whether you want one combined market view or separate results. Separate results are usually better when budgets, pricing, or messaging differ by country.

Do not rank by volume first. A low-volume phrase that exactly describes the offer can be more valuable than a broad, popular phrase with ambiguous intent.

Review every idea against four questions:

Keyword ideas expand the universe. Historical metrics score a list you already know. In HireOtto, these are separate modes: “keyword ideas” returns related suggestions; “historical metrics” returns data only for the supplied terms, without expanding them.

The historical response can include average monthly searches, monthly volumes, advertiser competition, a 0–100 competition index, and low/high top-of-page bid ranges. Google describes the bid fields as the 20th and 80th percentiles of historical bids. Treat all of these as directional planning inputs – not promises.

A monthly breakdown is especially useful for seasonal categories. Google’s API documentation says historical metrics refresh monthly, so rerunning the same list several times in one day is unlikely to produce a materially different answer.

Now use AI for synthesis. Group terms that can share one landing page, one value proposition, and substantially similar ad copy. Split terms when the searcher expects a different product, use case, audience, or page.

Avoid artificial precision. A cluster is not “good” because it has exactly 10 or 15 keywords. It is good when a single ad and landing page can answer the intent without becoming generic.

Finish with a decision document, not a raw dump. For each proposed ad group, capture the approved keywords, intended match types, negative themes, landing page, headline angle, and any unresolved question.

When the plan is approved, HireOtto can use the separate Search campaign workflow to create a paused campaign for review. Research and account changes should remain two distinct stages.

This is a historical average for the selected market and period. It is useful for comparing demand, but it can hide seasonality. Ask for monthly volumes when timing matters.

These measure competition among advertisers in Google Ads. They are not SEO keyword-difficulty scores. “Low competition” does not mean a term is easy to rank for organically, and “High competition” is not automatically a reason to avoid a profitable paid-search term.

The low and high ranges show historical bid pressure around top-of-page placement. Use them as a rough feasibility check against your economics. They are not a guaranteed CPC or a recommended bid.

Google may not return discoverable or forecastable results for very low-volume or sensitive keywords. A missing idea is not proof that nobody searches for it. Record the limitation and use adjacent seeds, a better-matched landing page, or broader themes.

Use the metrics to inform a decision, not replace one. A practical review can score each term from 0 to 2 on five dimensions:

Keep the scoring rules visible in the prompt and inspect borderline terms manually. A total score helps prioritise; it should not silently decide the account structure.

Require tool-sourced values and tell the AI to leave unavailable fields blank. Plausible numbers are not evidence.

A keyword list without location, language, and network settings is not a usable media plan.

Volume without intent can buy expensive curiosity. Start with the offer and landing page, then use volume as one filter.

They answer different questions. Google Keyword Planner’s competition fields describe ad demand, not the difficulty of ranking an organic page.

If irrelevant ideas enter the clustering step, AI will organise the noise instead of removing it.

Export, review, and approve the plan first. Keyword research is an input to a campaign—not permission to spend.

HireOtto makes the workflow conversational while keeping the data grounded in Google Keyword Planner. The current public workflow supports:

HireOtto returns 25 results by default in the current workflow. Ask for a higher limit when you need a larger research set, and use CSV for detailed review. For multiple locations, ask for separate results when you need country-by-country decisions instead of an aggregate.

Get started here: https://docs.hireotto.com/setup/connect-ai-tool

Yes – when it queries a current source such as Google Keyword Planner and preserves the returned metrics. AI is most useful for context, exclusions, intent classification, clustering, and explanation. It should not invent search volume or bids.

Use both when possible. Seed keywords state the market you want to explore; the landing page gives Google and the AI concrete offer context. A URL alone can work, but Google notes that combining keywords and a URL can yield more ideas.

Keyword ideas expand from seeds and return related terms with metrics. Historical metrics score the exact keywords you supply without expanding the list.

No. Keyword Planner competition is an advertiser metric. Organic ranking difficulty requires separate SEO analysis.

Yes, through its separate Search campaign creation workflow. New Search campaigns are created paused for review. Keep research, approval, and creation as explicit stages.

No. This article uses keyword ideas and historical metrics, which are the current HireOtto keyword-research modes. Google also offers forecast metrics in Keyword Planner, but forecasts are a separate planning step and depend on campaign settings, bids, budgets, and recent market conditions.