Google traffic estimator: where the tool went and how to build an estimate you can defend

The Google traffic estimator is now the Forecast view inside Keyword Planner, which replaced the old standalone Traffic Estimator tool. Google's help page on Keyword Planner forecasts, read on 10 October 2026, says Google "draws on historical search data to make estimates on what you might get from a set of keywords based on your spending", and that forecast impressions take your bid, budget, seasonality and historical ad quality into account. It returns clicks, cost, impressions, click through rate and average cost per click per day. For organic traffic to your own site, the equivalent Google numbers live in Search Console, and for somebody else's site you need a third party estimate.

Three different questions hide behind the phrase, so start by deciding which one you are asking.

What you want to know	Where the number comes from	What it is
How many paid clicks a keyword list could bring, and at what cost	Keyword Planner, Forecast view	A forward estimate at a bid and budget you choose
How much organic traffic a keyword could bring	Average monthly searches from Keyword Planner, multiplied by your own click through rate by position	A calculation you build, using your own data for the rate
How much traffic your own site gets from Google	Search Console, Performance report	Measured clicks and impressions, not an estimate
How much traffic a competitor's site gets	Third party estimators	A modelled figure, useful for comparing sites rather than for exact totals

Getting a forecast out of Keyword Planner

1. Open Keyword Planner in a Google Ads account. Google notes that you must complete account setup by entering billing information to reach the basic features, and you do not have to run a campaign to use the planner.
2. Choose Discover new keywords or paste your own list, then save the keywords to a plan.
3. Open the Forecast page. Google's documentation describes a forecast broken down by location, with a default bid you can change by entering a figure or selecting a point on the graph, which is how you see the shape of the curve rather than one number.
4. Set the location and language to the market you are actually buying, and set the date range to the period you are planning for, so seasonality is included.
5. Export the plan. The export is the thing you put in a budget paper, because it shows the assumptions beside the numbers.

What each forecast column means

Taken from Google's own definitions on the forecasts page:

• Clicks: the number of clicks your ad might receive each day if the keyword triggered the ad.
• Cost: the average amount you might spend per day for that keyword.
• Impressions: how often your ad might show in a day, counted each time it is shown on a results page.
• Click through rate: forecast clicks divided by forecast impressions.
• Average cost per click: the average amount you might pay for a click. Google explains that you are charged only slightly more than the minimum needed to hold your position, so the figure shown can sit below the cost range for the whole list.

The default bid itself is derived from your account, which is worth knowing when a forecast looks surprising. Google lists the sources as your previous plan, the average maximum cost per click from your manual bidding ad groups, or the average across manual bidding ad groups in the same currency.

The match type detail that trips people up

Google's page is explicit about a split that causes a lot of confusion. Historical statistics such as average monthly searches are shown for exact matches only, so you see the same figure whether you entered the keyword as broad, phrase or exact. Traffic forecasts for clicks and cost, by contrast, do take match types into account, and overlap between broad match keywords in your list is accounted for. So a plan with fifty broad keywords will not forecast fifty separate audiences, which is correct behaviour and the reason a forecast total is lower than adding the volumes together.

Two more definitions worth reading from the same page before you quote any figure in a plan. Average monthly searches is averaged over a twelve month period by default, for the location and network settings you chose. Top of page bid is given as a low and a high range, which Google describes as approximations of the twentieth and eightieth percentiles of what advertisers have historically paid.

Estimating organic clicks without inventing a number

Keyword Planner forecasts paid clicks. For organic planning, build the estimate from two inputs you can defend:

estimated monthly clicks
  = average monthly searches (Keyword Planner, your location)
  x your own click through rate for the position you expect

The second input is the one people guess at, and you do not need to. Open the Search Console Performance report, group your existing queries into position bands, and read your real click through rate for each band. That gives you a rate from your own results pages, in your own category, with your own brand strength. Use the band you can realistically reach for the query in question, and keep branded queries out of the calculation because they inflate the rate.

Then present three scenarios rather than one figure: the rate from your weakest comparable band, the rate from your median band, and the rate from your strongest. A plan with a range and a stated method survives scrutiny; a single number does not.

Five things that change the answer

• Result layout. A query answered by a shopping row, a map pack, a video carousel or an AI Overview distributes clicks differently from a plain list of ten links. Look at the actual results page for your top ten target queries.
• Seasonality. An annual average hides a category that earns most of its demand in two months. Read the monthly trend, not the average, for anything seasonal.
• Location and language. Both settings change volume and cost. Set them to the market you sell in, every time.
• Brand. Branded demand behaves differently from category demand. Model them separately or the whole estimate tilts.
• Your position today. Moving from the second page to the lower half of the first page is a different exercise from moving within the top three, and the click gain is not linear.

Turning an estimate into a decision

Write the decision rule before you run the numbers. For paid, the rule is usually a cost per acquisition ceiling: the forecast tells you the clicks available at a bid, your conversion rate turns that into customers, and your margin says which bid level is worth having. For organic, the rule is usually an effort ranking: estimated clicks divided by the work required, with pages you already rank for near the top because the distance to travel is short. Either way, record the inputs beside the output so that next quarter you can see which assumption was wrong rather than relitigating the whole plan.

This page covers Google's traffic estimation tools and how to build an estimate you can defend. For getting the most out of the planner itself, read Keyword Planner without running ads. For comparing volume sources, read search volume checker. For estimating another site's traffic, read how to check a competitor's web traffic.

What people ask about google traffic estimator

Does Google still have a traffic estimator?

Yes, as the Forecast view inside Keyword Planner. It estimates clicks, impressions, cost, click through rate and average cost per click for a saved keyword plan at a bid and budget you set.

Is the Google traffic estimator free?

Keyword Planner is part of Google Ads and needs account setup, including billing information, to reach the basic features. You can take forecasts without an active campaign running.

Does it estimate organic traffic?

It forecasts paid performance. For organic, take average monthly searches from the planner and apply your own click through rate by position from Search Console, then present a range rather than one figure.

Why is the forecast lower than the sum of the search volumes?

Because forecasts account for match types and the overlap between keywords in your plan, while average monthly searches is reported on an exact match basis. The forecast is the more realistic of the two for budgeting.

How accurate are the forecasts?

They are built from historical search data and adjusted for your bid, budget, seasonality and historical ad quality, which makes them a sound basis for setting a budget range. Treat the first month of live data as the correction, and update the plan with it.

What is the quickest way to sanity check an estimate?

Compare it with a keyword you already buy or already rank for. Your own measured clicks at a known position are the best calibration available to you.

The demand no estimator counts yet

A growing share of buyer research never produces a search impression at all. Somebody asks ChatGPT, Gemini, Perplexity or Claude who to use in a category, or reads Google's AI Overview, and a handful of named companies comes back, assembled from reviews, comparison pages, directory profiles and articles. There is no volume figure for that question in any planner, and no click to forecast.

It is still countable, just with a different instrument: a fixed list of buying questions, asked on a schedule, with the names and cited sources recorded each time. Keep your own company name out of the prompts so the answers come back clean. AI Knows Us measures those answers and the sources behind them.