Our story

About SEO Forecasting Tool & Our Methodology

SEO Forecasting Tool helps marketers turn uncertain organic-search outcomes into clearer planning scenarios for traffic, rankings, ROI, backlinks, content and local visibility.

The problem we solve

SEO shouldn't be a black box

Every week, SEO professionals are asked to justify budget, predict timelines, and prove value — before a single page is written. Most resort to vague estimates or "it depends."

We built SEO Forecasting Tool to change that. Each tool uses transparent formulas, user-provided inputs and publicly discussed SEO planning concepts. We document the assumptions and limitations so you can use the output as a planning scenario rather than a promise.

9
Free tools
Local
Core calculations
Open
Transparent methods
0
Signup required
How the models work

The methodology behind the numbers

Each forecast is built around transparent SEO assumptions, public research and measurable inputs. Here's what powers the models and where their limitations matter.

CTR

CTR Curve Data

Traffic projections use configurable or benchmark CTR assumptions by ranking position. Real CTR varies by query intent, device, brand strength and SERP features, so forecasts should be tested against your own Search Console data when possible.

AUTH

Domain Authority Correlation

Ranking-potential models compare public planning inputs such as relative site strength, keyword difficulty and competitive context. Third-party authority metrics are directional proxies and are not Google ranking scores.

ROI

Revenue Benchmarks

ROI and revenue models combine projected traffic with conversion rate, customer value and SEO cost. Your own analytics and sales data should replace generic defaults whenever available.

LINK

Link Velocity Research

Backlink forecasts model scenarios from current referring domains, expected acquisition pace and time. They do not predict how Google will value individual links, and quality matters more than raw link count.

LOCAL

Local SEO Signals

Local visibility scenarios use measurable inputs related to relevance, prominence and competitive context. Distance is searcher-specific, so the tool does not claim to predict an exact Maps position.

SERP

SERP Feature Data

SERP feature scoring is a prioritisation model based on query format, intent and observable SERP patterns. Search features can change, so users should verify the live results before acting on a score.

NOTE
Forecasts are estimates, not guarantees

All forecasts are planning estimates based on the inputs and assumptions used in each model. Actual results depend on content quality, technical SEO health, SERP volatility, and your specific competitive landscape. Use these tools to inform decisions — not to replace judgment.

Our principles

What we stand for

FREE

Free, genuinely

All nine core forecasting tools are free to use without requiring a paid plan or credit card.

OPEN

Transparent models

Every methodology is documented. You can see exactly how each number is calculated and what assumptions drive it.

LOCAL

Privacy first

Forecast inputs are processed in your browser. Other site features such as contact forms, accounts, analytics or advertising may process data separately as explained in the Privacy Policy.

DATA

Data, not opinions

We explain the assumptions behind each model and encourage users to replace defaults with first-party data whenever possible.

Start forecasting for free

9 core tools. No signup required. No credit card required.

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