The plan that gets a business recommended by AI.

Document contents

Each section presents the underlying data behind the Blueprint's headline findings. Read as receipts.

Score by category

Six dimensions. Each scored 0–100. Weighted total is the GEO Score.

Reading the table

Below threshold means the category scores under 50 of 100 and is materially limiting AI citation. At threshold means the category clears 50 but has not reached the trusted band. Above threshold means the category is operating in the band AI systems treat as a positive citation signal. Critical deficit is reserved for scores below 10, where the category is effectively absent from the site.

The two limits on this score are AI Citability and Brand Authority: a strong reputation that doesn't yet surface in AI-readable form, and content written to market rather than to answer.

AI platform readiness

Six platforms. Sorted by readiness score, highest to lowest.

How to read this. Score is the platform's measured probability of citing the practice in a relevant patient-intent query. Status is a binned label of that score. The limiting factor is the single highest-leverage signal that platform is missing or under-using.

The pattern across all six platforms: the practice is technically visible but under-cited. Every platform improves with the same core moves: quotable content, credentialed authorship, and a wider outside footprint.

Off-site authority inventory · none detected

Every external signal AI search platforms have access to about this practice.

Why this matters. Engines like ChatGPT and Perplexity lean heavily on outside corroboration before they recommend a business. With no off-site footprint, even a strong on-site fix has little to cross-check against. Building this inventory from zero is where the largest, most durable gains come from.

Findings register · 10 items

Sorted by severity, then by category-weight impact.

The roadmap

Three phases, sequenced by impact: first AI reads you correctly, then it recommends you, then you stay ahead.

How the sequence works. Each phase is one outcome, ordered by impact: first the practice becomes legible to AI, then it becomes the answer AI gives, then that position is defended and measured. The work behind each outcome is summarized in its "Includes" line; the findings register on the previous page is the underlying detail.

Methodology · GEO Scoring Methodology v1.0

How the six category scores combine into the GEO Score.

Forecite's GEO Scoring methodology measures how prepared a practice's web presence is to be cited by AI search platforms. The score is constructed from six categories. Each category is scored 0–100 against criteria specific to that dimension. The final GEO Score is the weighted sum of all six.

Thresholds. A category score of 50 represents the floor at which AI platforms begin to cite the practice with measurable frequency. A score of 80 represents the band associated with practices AI systems treat as trusted sources for their category and region. Scores below 10 represent a critical deficit where the category is structurally absent.

Tier mapping. Poor (0–49) · Fair (50–64) · Good (65–79) · Excellent (80–100).

Re-measurement. Forecite re-runs this measurement on a schedule for active clients. Changes to the score, category scores, and per-platform scores are reported in a delta document that pairs each movement to the work that produced it.