SEO forecasting tools, what the inputs really are and the sentence Google puts on the whole idea

An SEO forecast multiplies three estimates together: how much a query is searched, what share of those searches a given position gets, and what share of those visitors convert. Not one of the three is measured from Google ranking data, because that data is not available to any outside tool. So a forecast is a sensitivity model, and it is useful in exactly the way a sensitivity model is useful: for comparing options, not for promising an outcome.

What Google itself publishes about this

Google's own guidance for people buying search work, read on 22 October 2026, is unusually direct. It states: "No one can guarantee a #1 ranking on Google." It warns that third party tools "don't have access to Google's internal ranking data" and to "be wary of tools that claim to be 'acceptable' or 'approved'". And it gives the buyer a test to apply to a supplier: "If they guarantee you that their changes will give you first place in search results, find someone else."

The same page also says what a legitimate deliverable looks like: "An SEO audit should be about giving you realistic estimates of improvement, and an estimate of the work involved." So estimates are expected. Guarantees are the thing being warned against. A forecasting tool sits on the right side of that line as long as its output is presented as an estimate with its assumptions visible.

Input one, the search volume figure

Almost every forecast starts from Keyword Planner volume, and that figure has documented properties worth knowing. Google's Keyword Planner documentation, read on 22 October 2026, says that "historical stats like average monthly searches are only shown for exact matches", and gives the example that you will see the same exact match statistic for "dark chocolate" whether you entered it as broad, phrase or exact. It also separates the two kinds of number: "forecasts take bid, budget, seasonality, and other factors into account, while historical metrics do not."

Two practical rules follow. Do not add the volumes of near identical phrasings, because the historical figure is reported per normalised group and adding them double counts the same demand. And do not treat a Keyword Planner forecast and a Keyword Planner historical figure as the same kind of thing, because the documentation says they are built differently.

Input two, the click share by position

This is the weakest link and it is worth saying so. Google does not publish a click through rate by position, so every curve in every forecasting tool is derived from somebody's sample of somebody's accounts. Those samples differ by category, by device, by how many ads and features sit above the results, and by whether an AI answer appeared. A curve built on one category applied to another is a guess wearing a decimal point.

The honest substitute is your own data. Your Search Console performance report holds real impressions, clicks and average position for queries you already appear on, which is a click curve for your own site in your own category. One export quirk to know before you argue about a number: Google's performance report documentation, read on 22 October 2026, notes that values shown in the report as a tilde or a dash, meaning not available or not a number, "will be zeros in the downloaded data".

Input three, the conversion rate

Use your own, by landing page and by query intent, and use a range rather than a point. If you do not have enough conversions to compute one honestly, say that the forecast cannot be built yet rather than borrowing an industry figure. Borrowed conversion rates are where most forecasts go from optimistic to fictional, because the error compounds against the two inputs above it.

How to use a forecast without lying to anybody

Build three cases, not one: a pessimistic, a central and an optimistic version, with the assumption behind each printed next to the number. Present the range and the assumptions, never the single figure. State which input each number came from, and which ones are your own measurements rather than a vendor's sample. Then set the review on measurements you control: impressions and average position for the target queries in Search Console, clicks against those impressions, and conversions against those clicks, each with the count beside it.

For judging a supplier's claims, our guide to what a ranking guarantee really covers covers the contract side, and the audit sequence itself is in what a free audit really tells you.

One absence worth stating plainly: there is no published, independent accuracy study comparing the major SEO forecasting products against realised outcomes on the same set of sites. We looked for one to cite and there is none. So the only comparison available is the one you run yourself, by recording the forecast on the day it was made and checking it later against your own Search Console data.

A disclosure, because we sell a measurement of part of what this page covers. AI Knows Us reads five AI surfaces and reports two separate findings, whether a business is named and whether its own pages are cited, and the two are never added. Our own reading on 22 October 2026 was named 0 and cited 0 across 635 readings, published as our own null result after 507 new pages. Where a rival is stronger, plainly: Profound publishes SSO and SAML, SOC 2 and up to nine engines, and our rendered pricing page carries none of those words and names five surfaces, not nine. Our cheapest plan that reads all five surfaces is Growth at 299 dollars a month in the US and the UK, and the 149 dollar SEO Start plan reads 0 questions, 0 credits and 0 engines, so it is not an AI visibility plan.

Questions buyers ask about SEO forecasting tools

Are SEO forecasts worth anything at all

Yes, for choosing between options. A forecast is a good way to decide which of two content programmes to fund, and a poor way to promise a revenue number to a board.

Where does the click curve in these tools come from

From the vendor's own sample, because Google does not publish one. Ask any vendor whose sample it is and how large it is, and prefer your own Search Console curve where you have one.

Can I add up the volumes of similar keywords

No. The documentation says historical statistics are shown for exact matches, reported per group, so adding near identical phrasings counts the same demand more than once. Take the maximum of the group.

Should a forecast be in an agency proposal

An estimate with its assumptions visible is fine, and Google's own guidance expects realistic estimates. A guaranteed position is the thing its guidance tells you to walk away from.

When can we judge whether the forecast was any good

Judge it by comparison rather than by calendar: record the forecast and its assumptions on the day it was made, then compare it with your own Search Console impressions, clicks and average position for the same queries, and report the gap with the count of queries behind it.

The forecast nobody can build yet

There is no volume figure at all for what a buyer asks an assistant, because the engines publish none and the keyword tools hold none. So that surface cannot be forecast; it can only be measured, on a recorded question set with the date and the denominator attached.