Methodology

Measurement and Forecasting Methodology

This page explains four things: how demand is forecast, how the cause is found when you fall behind demand, how the job list is ranked by impact, and how AI visibility is measured. The forecast is the decision; Google and AI measurement is its evidence.

Four Ps frameworkTransparent metric hierarchy

How demand is forecast

  • Horizon

    Every tracked keyword gets a weekly forecast 26 weeks, or 6 months, ahead.

  • Seasons and events

    With more than two years of data, yearly seasonality is included. Recurring calendar events are added to the forecast.

  • Range

    A forecast is shown as a range with lower and upper bounds, not a single number. A wide range shows the uncertainty on screen.

  • Threshold

    Keywords with less than 30 weeks of data get no forecast. The unfinished current week is left out so a partial week does not look like a drop.

  • Label

    Forecasts always carry a “Forecast” label and a dashed line, never mixed with measured values.

  • Trend verdict

    The last 12 completed weeks are compared with the previous 12: at least 20% up is Rising, at least 20% down is Declining, anything between is Stable. A keyword climbing from a very low base is First signal; without enough data it is Insufficient data.

  • Season versus real growth

    The same change is compared with the change in the same 12 weeks last year. If last year moved by a similar amount, the movement gets a “seasonal” note; if it moved the other way or much less, it counts as off-season.

How a gap is diagnosed

When demand rises but your traffic falls, Search Console data is read first: if clicks fall and the same drop happened in the same period last year, it is seasonal; if impressions fall too, demand is shrinking; if clicks are not growing and the average top-10 position slipped at least one place, the problem is ranking. The “Why did it drop?” investigation on the keyword page then reads search interest, Search Console, AI answers, site crawl and Perception Radar data together and scores three scenarios: a market-wide drop, a drop driven by brand perception, or unexplained variation. The scores add up to 100, and one priority action is written for the top scenario. An investigation costs 1 credit.

How the job list is ranked

Each job gets an impact score: the traffic it can bring, multiplied by the likelihood that the fix works, divided by the effort it takes (hours). The Action Center list is ranked by this score; the high, medium and low impact labels come from it. Content Portfolio separately gives each page a keep, revamp, cull or monitor verdict; pages doing well are marked “leave as is”, so you also see where not to spend effort.

impact = traffic impact × likelihood of recovery ÷ effort

The Four Ps framework

Brand visibility in AI platforms isn't just about being present. Where, how, and with what impact matters too. We measure visibility across four dimensions:

P1

Presence

Does the brand appear?

  • · Mention Rate
  • · Citation Rate
  • · Share of Voice
  • · Visibility Momentum

Scope Trends: AI Visibility · Scope Citation · Perception Radar

P2

Prominence

How prominently featured?

  • · Position
  • · First-paragraph appearance
  • · Citation ordering

Coming soon: in-answer position mapping

P3

Portrayal

How framed, how accurate?

  • · Sentiment
  • · Framing
  • · Hallucination

Scope Trends: Algi Radar sentiment + Pulse

P4

Persuasion

Does visibility drive action?

  • · Recommendation Strength
  • · Post-Citation CTR
  • · Downstream conversion

Coming soon: click tracking

How measurement confidence is shown

Not every measurement carries the same confidence. Results you can take to a budget decision are marked apart from results that only show direction:

Full measurement

In GEO Audit, when sample coverage confidence is 60% or higher the score is shown with its band: 85+ Excellent, 70-84 Good, 55-69 Fair, 40-54 Weak, below 40 Critical.

Partial measurement

Below 60% coverage confidence the score is greyed out and marked “partial”. The result shows direction; the grade is not for decisions.

Noise floor: A single measurement is not a verdict. With at least three GEO audits for the same site, twice the standard deviation of the last ten audits is the noise floor. A change inside that range is labelled “noise”, not improvement or decline. Because AI answers vary between runs, AI visibility is tracked through repeated runs every 2, 3 or 4 days rather than a single check.

Data Sources · Transparency

The source types we measure are documented:

SERP + AI Search

Google SERP · Google AI Overviews · ChatGPT · Claude · Scope AI Search · Gemini

Brand Monitoring

X · Reddit · YouTube · local complaint and forum platforms · open knowledge bases

Site Signals

Google Search Console · PageSpeed Insights · Own crawler (Scope Crawl)

AI Evaluators

Scope AI

Methodology update: 16 October 2026.

Measurement and Forecasting Methodology | Scope Trends