Measure the answer, not just the rank
Sighted looks at whether AI engines mention, cite, compare, and accurately describe your brand across the questions buyers actually ask.
Sighted
Public methodology
A clear process, not a public playbook.
Sighted publishes the principles behind our GEO work so buyers can judge the rigor. We keep the implementation details private so the methodology stays commercially useful for our clients.
Operating principles
Enough transparency to trust the work.
Separate signal from noise
We use repeated checks, engine-aware sampling, and confidence bands so teams can act on directional movement without mistaking variance for progress.
Keep the operating playbook private
Public methodology explains how we think and what we validate. Client work contains the detailed prompts, scoring internals, and remediation plans.
Client-facing sequence
The public shape of the work.
The page explains the journey a client can expect. It avoids publishing formulas, prompt sets, or tactical checklists that would turn the site into free consulting.
01
Diagnose where answer engines already see you, miss you, or describe you incorrectly.
02
Map entity signals, citation sources, comparison surfaces, and buyer-intent question clusters.
03
Improve the pages, facts, schema, and third-party proof that answer engines can safely reuse.
04
Monitor answer inclusion, citation quality, sentiment, and competitor displacement over time.
Boundaries
What we do not publish.
Sighted can be transparent without giving away the machinery. These details belong in client deliverables, internal QA, and protected implementation systems.
Prompt libraries and test harnesses
Component weights and scoring implementation
Client-specific audit checklists
Remediation sequencing and workflow recipes
Internal calibration tables and QA thresholds
Partner, tool, and data-source routing details
Due diligence
Need the formal artifact?
The PDF gives evaluators a citable summary while this page stays buyer-friendly.