Generative Engine Optimization outputs built for immediate action

What it is

A structured map of where your brand appears — and does not appear — across priority AI discovery surfaces. Includes query coverage, competitive comparison, narrative analysis, and gap identification.

Why it matters

Without knowing your current visibility baseline, every AI search optimization decision is a guess.

What it helps fix

Blind spots in AI discovery. Queries where competitors are cited and you are absent.

What teams do with it

Content teams prioritize pages. SEO teams identify retrieval gaps. Brand teams understand AI representation.

What it is

Page-level evaluation of content structure, entity clarity, evidence quality, claim attribution, and retrieval signals for highest-priority URLs.

Why it matters

Pages can rank in traditional search and still be invisible to AI systems.

What it helps fix

Weak entity signals. Unattributed claims. Structurally ambiguous content that AI systems skip.

What teams do with it

Content teams restructure high-value pages. SEO teams add retrieval signals. Product marketing improves solution representation.

What it is

Unified reference document standardizing company narrative, product vocabulary, audience definitions, competitive context, and proof signals into machine-readable format.

Why it matters

Brand fragmentation is the leading cause of AI misrepresentation.

What it helps fix

Inconsistent messaging across pages. Product vocabulary drift. Missing proof signals.

What teams do with it

Shared source of truth for content creation, page optimization, and AI-facing decisions.

What it is

Ranked list of recommended actions based on audit findings — prioritized by visibility impact, implementation complexity, and business relevance.

Why it matters

Audit findings without prioritization overwhelm teams.

What it helps fix

The "too many things to fix" paralysis. Unclear priorities between quick wins and structural improvements.

What teams do with it

Leadership allocates resources. Execution teams know exactly what to work on next.

What it is

Time-boxed implementation plan showing what to change in 30, 60, and 90 days.

Why it matters

A strategy without phasing is a wish list.

What it helps fix

The gap between knowing what to fix and actually getting it done.

What teams do with it

Project managers schedule work. Team leads assign tasks. Executives track progress.

What it is

Specific, executable tasks for each recommendation — structured by functional area with clear ownership, scope, and expected outcome.

Why it matters

This is where most AI visibility programs fail. The gap between "what to do" and "how to do it" is where execution stalls.

What it helps fix

Implementation ambiguity. Tasks too vague to assign.

What teams do with it

Individual contributors use as work briefs. Managers track completion. Agencies use as execution specs.