FREE TOOL
Free SEO forecast: the month it pays for itself
A free Searchmaxxed tool: twelve months, three scenarios, and every assumption on the table.
THE TOOL
What this tool does
Twelve months of revenue across conservative, base and aggressive scenarios. The month cumulative revenue passes cumulative spend. Every assumption printed underneath, so you can argue with the number.
The quick edition models the numbers you enter. The data-backed edition pulls live volume, your live position and the real difficulty for up to ten keywords. It also detects whether an AI Overview shows for each one, which cuts the click share the forecast can assume.
WHAT YOU LEAVE WITH
You leave with the month search pays for itself. You also get twelve months across three scenarios, and every assumption behind the number.
FORECAST
READY WHEN YOU ARE
Your evidence will appear here after the live run finishes.
The panel keeps the primary finding, supporting evidence and next action together so the result is easy to use.
THE SHORT ANSWER
An SEO forecast models the traffic, leads and revenue a search programme produces over twelve months. It reports the month the programme pays for itself. This one runs three scenarios from your own conversion numbers. It accounts for the clicks an AI Overview removes. It lists every assumption, so you can argue with one row.
WHY
Why this tool exists.
Most SEO proposals argue traffic and get signed on hope. The number that decides the spend is the month the work pays for itself. That depends on how fast rankings arrive and what a click is worth to you. It also depends on how much of the click an AI Overview takes first. This forecast runs all of it month by month and shows break-even as a range.
The assumptions table lists every input. Each row says whether you entered it, we measured it, we modelled it, or it came from a named industry source. Disagree with one row, change that row and run it again. The forecast is worth arguing with.
How is an SEO forecast built?
Four numbers drive it. The searches you want to win, the share of visitors who enquire, the share of enquiries you close, and what a customer is worth. Multiply those against the click share of the position you are targeting and you have monthly revenue for one page.
A programme is not one page, which is where most forecasts go wrong. A retainer buys a stream of money pages, so this model launches a batch each month and ramps each batch from its own launch month. Revenue compounds because the asset base grows, and the twelve-month figure reflects the programme rather than a single keyword.
Why does the forecast show three scenarios?
A single number is always wrong and usually flattering. The conservative case lands one position short of target and arrives two months later. The base case hits the target on the modelled timeline. The aggressive case arrives a month early.
Break-even shows as a range rather than one month, because the honest answer is a band. The assumptions table shows which figures are yours, which came from live data and which we modelled.
Is SEO still effective?
It works, and it is harder than it was. Ahrefs measured 300,000 keywords and found AI Overviews cut clicks to the top-ranking page by 58 percent where they appear. The same position now returns a fraction of the traffic.
That changes the maths and leaves the conclusion. A ranking compounds and keeps producing after the work stops. Paid traffic never does that. This forecast applies the click loss when an AI Overview appears, so its numbers run lower than a forecast that ignores it.
What is the 80/20 of a search programme?
A small number of commercial pages produce most of the revenue. Terms where the searcher is ready to buy convert at multiples of informational terms. They also carry lower volume, which is why volume-led planning underperforms.
The forecast reflects that by working from the value of a customer rather than the size of the audience. A programme aimed at 1,200 high-intent searches routinely beats one aimed at 40,000 casual ones, and the model makes the comparison visible.
Who should run an SEO forecast?
Anyone deciding between search and paid, or justifying a retainer internally. The break-even month is the number that decides those conversations, and the assumptions table is what makes the number defensible when somebody pushes back.
It is a model of what happens if the plan lands, and the delivery timeline inside it is our assumption rather than a measurement. No forecast survives a market that changes underneath it, and nothing here is a guarantee of a result.
WHAT YOU GET
You leave with the month search pays for itself. You also get twelve months across three scenarios, and every assumption behind the number.
RUN THE FORECASTHOW TO USE IT
Pick the quick edition to model your own numbers. Pick the data-backed edition to pull real volume, your real position and the real difficulty per keyword.
Choose the program you would run and what a customer is worth.
We model twelve months across conservative, base and aggressive scenarios.
You get the best case, the break-even range, and every assumption behind both.
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QUESTIONS
What people ask about this tool.
Is this a promise of results?
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No. It is a model. The assumptions table shows every figure behind it and says whether you entered it, we measured it from live data, or we modelled it. The timelines are our delivery assumption. Argue with a row and the whole forecast moves.
Why three scenarios instead of one number?
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A single number is always wrong and usually flattering. Conservative lands two positions short and takes three months longer. Aggressive hits the target two months early. The honest answer sits between them, so the break-even shows as a range.
How fast does the model say rankings arrive?
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It depends on how contested the keyword is. A local or niche search reaches the target in one to two months. A competitive one takes three months. A hard one takes four, and a search the category leaders own takes five. That is the pace an agentic website plus the managed search loop delivers. The data-backed edition measures the difficulty for you.
Why does the program change the timeline?
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A larger program ships more pages, more structured data and more authority work each month, so the same keyword arrives sooner. The model brings arrival forward by one month for Agentic Search Engineering. The assumptions table labels that as modelled, so you can see the assumption and argue with it.
What does the AI Overview setting change?
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When an AI Overview shows for a search, the top results lose a large share of their clicks. Ahrefs measured that as 58 percent at position one in December 2025, down to 19 percent at position ten. Turning the setting on applies that loss per position, which lowers every number in the forecast.
What is the difference between the two editions?
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The quick edition uses the volume and current position you type in. It costs nothing and returns instantly. The data-backed edition pulls the real monthly volume and your real position for up to ten keywords. It then runs the same model per keyword and sums the result.
Why does it ask for my monthly spend?
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Break-even is the first month where cumulative revenue passes cumulative spend. Without the spend there is no break-even month, which is the number most people came for.
Win the searches this tool just showed you are losing.
We build the pages, the structured data and the source coverage that change what this tool reports, then hold the position while it compounds. Book a call and we will open your own data live and show you what your market is worth.
LET'S TALKWin the searches this tool just showed you are losing
Build the agentic website. Then run the weekly search system that turns it into qualified demand and revenue.