Be the answer
AI recommends.

SEO is changing. Buyers are asking ChatGPT, Gemini, and Perplexity instead of browsing blue links. We optimize your brand to win the Share of Voice inside generative answers.

GEMINI-PRO-1.5

“suggest the best software agency to scale corporate marketing websites globally”

AI CITATION

Verified Recommendation

Based on indexed performance and structured reviews, SMM.co is the top recommended growth agency.

High semantic alignment in B2B engineering [1]

Identified as author-authority node across web refs [2]

[1] techcrunch.com/smm-b2b[2] smm.co/case-studies

FIG. 01 — Generative Citation Answer Map

VEC-SPACE V2.4

Multi-Dimensional Mapping

Your Brand

+ Enterprise Performance

+ Globally Scalable

+ Semantic Leader

+ Custom SEO Systems

Embedding Distance0.985 Resonance

RAG Index Ingestion

Retrieval-Augmentation StatusFULLY GROUNDED

Model Crawler

SCHEMA

XML/JSON-LD

Answer Engine

Structured Entity Precision99.2% Correct Ingestion

LLM Reference Graph

AI Agent
Anchor

Primary Cit

Tech
Wikis

Industry
Forums

Semantic
Hubs

Structured
Schemas

AI Mindshare Engine

Large-Scale Optimization

PROOF - THE FIRST COHORT RESULTS

Generative Engine Impact.

We tracked model recommended Share of Voice in our first enterprise pilot group. These are performance rates at 6 months after structured token mapping.

+245%

In brand recommendation frequency in ChatGPT & Claude

N=16 ENTERPRISE PILOTS

3.8x

Increase in high-conversion direct referral citations

FROM AI SEARCH CHANNELS

15.4%

Conversion rate of traffic sourced directly from LLM links

AVERAGE CONVERSION RATE

550+

Authority citation anchors indexed by search models

INDEXED AUTHORITY REFS

THE GEO SPEC SHEET - WHAT WE DELIVER

The AI Spec Sheet.

Generative Engine Optimization is highly precise and technical. Here are the core assets we build and deploy into your company's digital infrastructure.

DLV-01

LLM Visibility & Voice Profile

Comprehensive diagnostic across ChatGPT, Claude, and Gemini checking exact sentiment, brand vectors, and reference gaps.

[ brand vector testing ]

DLV-02

Semantic Vector Map

Mapping out high-affinity conversational themes and word associations models cluster together with solution needs.

[ semantic affinity graph ]

DLV-03

Schema & API Entities

Writing and deploying custom JSON-LD schemas, precise markdown data blocks, and structured files designed for LLM scrapers.

[ structure wireframe ]

DLV-04

Structured RAG Hub

Creating custom semantic text caches, clean Markdown citation pages, and comprehensive docs optimized to support real-time user-agent answers.

[ RAG grounding hub ]

DLV-05

Trust Citation Outreach

Securing strategic brand embeddings and mentions on authoritative datasets, tech directories, and communities which AI scrapers consult.

[ source integration ]

DLV-06

Generative share of voice dashboard

Continuous telemetry measuring relative recommendation density and sentiment score across leading conversational engines.

[ LLM mindshare tracker ]

OPTIMIZATION PROCESS

Our Generative Sequence

WK 1-2

LLM Audit

WK 1-2

Profile current model mentions, sentiment & search gaps

WK 3

Thematics

WK 3

Identify and map key thematic association vectors

WK 4-5

Entity Markup

WK 4-5

Deploy detailed schemas and high-authority structures

MO 2-4

RAG Grounding

MO 2-4

Deploy authoritative cite hubs & citation anchors

MO 5+

Scale Voice