By Function / Marketing

AI Marketing: SEO, AEO & GEO — Built for the Age of Generative Search

Solnix builds marketing AI that dominates traditional search, gets cited by AI answer engines (ChatGPT, Perplexity, Gemini), and ensures your brand appears in AI-generated results — giving marketing teams an unfair advantage across every discovery channel.

4.7×
Increase in content output
3.2×
More AI answer engine citations
61%
Reduction in CAC
34%
Improvement in campaign ROI

The Challenge

Search has changed — traditional SEO alone is no longer enough

AI answer engines now intercept 40%+ of search queries. Brands not optimized for AEO and GEO are losing visibility to competitors who appear in ChatGPT, Perplexity, and Google AI Overviews.

01

AI Answer Engines Bypassing Your Site

ChatGPT, Perplexity, and Google AI Overviews answer questions directly without sending traffic to your site. If your content isn't structured to be cited by LLMs, you're invisible in the fastest-growing discovery channel.

02

GEO Blind Spot

Generative Engine Optimization requires a fundamentally different content strategy — authoritative, citation-worthy, structured for AI retrieval. Most brands have no GEO presence and don't know it.

03

Content Production Bottleneck

Modern B2B marketing requires content across 10+ channels and formats simultaneously. Content teams can't keep pace with demand without sacrificing quality or burning out creative talent.

04

Attribution Black Holes

Multi-touch attribution across long B2B buying cycles, dark social, AI referrals, and offline touchpoints is unsolvable with traditional models. Marketing can't defend budget without credible attribution.

01

AI Answer Engines Bypassing Your Site

ChatGPT, Perplexity, and Google AI Overviews answer questions directly without sending traffic to your site. If your content isn't structured to be cited by LLMs, you're invisible in the fastest-growing discovery channel.

02

GEO Blind Spot

Generative Engine Optimization requires a fundamentally different content strategy — authoritative, citation-worthy, structured for AI retrieval. Most brands have no GEO presence and don't know it.

03

Content Production Bottleneck

Modern B2B marketing requires content across 10+ channels and formats simultaneously. Content teams can't keep pace with demand without sacrificing quality or burning out creative talent.

04

Attribution Black Holes

Multi-touch attribution across long B2B buying cycles, dark social, AI referrals, and offline touchpoints is unsolvable with traditional models. Marketing can't defend budget without credible attribution.

Education AI Solutions

SEO, AEO & GEO AI services for modern marketing teams

SEO Intelligence AI

AI that continuously monitors your keyword landscape, identifies content gap opportunities, generates optimized content briefs, and tracks competitive SERP positions — compounding organic growth systematically without manual analysis.

AEO — Answer Engine Optimization

Structured content systems that get your brand cited in ChatGPT, Perplexity, Claude, and Google AI Overviews. We analyze which questions AI engines answer in your category, then build the authoritative content that LLMs pull from.

GEO — Generative Engine Optimization

End-to-end GEO strategy: authority content architecture, structured data markup, entity optimization, and citation tracking across AI platforms. Your brand becomes the source AI models reference when your buyers ask questions.

AI Content Engine

LLM-powered content generation trained on your brand voice, messaging framework, and SEO/AEO/GEO requirements — producing on-brand blog posts, FAQs, comparison pages, and structured content at scale.

Campaign Performance Prediction

ML models that predict campaign performance before budget commitment, scoring creative variations, audience segments, and channel mixes against historical performance data.

Audience Intelligence Platform

AI synthesis of intent signals from G2, LinkedIn, website behavior, and third-party intent data, identifying in-market accounts and surfacing them to sales with behavioral context.

ABM Personalization AI

Systems that generate personalized content, email sequences, and landing pages for each target account, incorporating account-specific pain points, competitive context, and buying stage.

Marketing Analytics AI

Natural language querying of marketing performance data — ask questions in plain English and get instant answers with visualizations, including AI referral traffic attribution from ChatGPT and Perplexity.

End-to-End Implementation

End-to-end AI implementation for marketing

Solnix delivers the full lifecycle — from SEO/AEO/GEO audit through production deployment and continuous improvement. The same proven methodology powers every marketing engagement, tailored to your systems, data, and workflows.

Phase 01
01

Discovery & AI Opportunity Mapping

We start by understanding your operations, data landscape, and goals, then map where AI delivers measurable value and where it does not. Every engagement begins with a prioritized opportunity backlog, not a technology pitch.

Stakeholder workshopsProcess & data auditUse-case prioritizationROI & feasibility scoringRisk & compliance review
Deliverable  AI opportunity roadmap with prioritized, sized use cases and a phased delivery plan.
Phase 02
02

Data Foundation & Readiness

AI is only as good as the data behind it. We assess data quality, connect fragmented sources, and build the secure, governed pipelines that production AI depends on, with privacy and compliance designed in from the start.

Data integrationQuality & labelingGovernance & access controlPrivacy / compliance controlsFeature & knowledge stores
Deliverable  Unified, governed data foundation and pipelines ready for model development.
Phase 03
03

Model & Agent Development

We build the models, retrieval systems, and AI agents tailored to your use cases, selecting the right approach (fine-tuning, RAG, multi-agent orchestration) for accuracy, cost, and latency, and validating against your real-world edge cases.

Model selectionRAG & knowledge groundingAgent orchestrationPrompt & policy designEvaluation harness
Deliverable  Validated models and agents benchmarked on your data, with documented accuracy and guardrails.
Phase 04
04

Integration & Workflow Embedding

AI only creates value when it lives inside the tools your teams already use. We embed models and agents into existing systems, surfaces, and workflows, so adoption is natural and human-in-the-loop controls stay in place.

System & API integrationWorkflow embeddingHuman-in-the-loop designRole-based accessChange enablement
Deliverable  AI capabilities integrated into production systems with the human oversight your governance requires.
Phase 05
05

Deployment, Security & Compliance

We deploy to production with the security, monitoring, and compliance controls enterprises require, including bias and fairness testing, audit logging, and the observability needed to operate AI responsibly at scale.

Secure deploymentBias & safety testingMonitoring & observabilityAudit & traceabilityCompliance sign-off
Deliverable  Production deployment with security hardening, monitoring dashboards, and compliance documentation.
Phase 06
06

Optimization & Continuous Improvement

AI systems improve with use. We measure outcomes against the goals set in Phase 01, retrain and tune from live feedback, and expand to the next set of use cases, turning a single deployment into a compounding capability.

Outcome measurementModel retrainingFeedback loopsCost optimizationUse-case expansion
Deliverable  Measured ROI, continuously improving models, and a backlog for the next phase of expansion.

Methodology

How Solnix Builds Marketing AI

01, SEO / AEO / GEO Audit

We start with a full audit of your current search presence, AI citation rate, and generative engine visibility. This baseline determines where you rank in traditional search vs. how often you appear in AI-generated answers — and where the gap is largest.

02, Content Authority Architecture

We design a content structure built for both Google and LLMs — topic clusters, FAQ schemas, structured data, and entity optimization that makes your content the authoritative source AI engines cite when buyers ask questions in your category.

03, Brand & Messaging Ingestion

All content AI is trained on your specific brand guidelines, messaging framework, and content archive, so SEO, AEO, and GEO outputs are on-brand from day one — not generic AI content that needs heavy editing.

04, MarTech Stack Integration

We integrate with HubSpot, Marketo, Salesforce Marketing Cloud, Google Search Console, and your CMS. AI-generated content and SEO insights surface within existing campaign management workflows.

05, AI Citation Tracking & Optimization Loop

We deploy monitoring across ChatGPT, Perplexity, Gemini, and Google AI Overviews to track how often your brand is cited. This data feeds continuous optimization — updating content structure and authority signals to increase citation frequency over time.

FAQ

Questions from CMOs, demand gen leaders, and content teams

What is AEO and why does it matter now?+
What is GEO and how is it different from SEO?+
How do you measure success for AEO and GEO?+
How do you ensure AI-generated content matches our brand voice?+
How does your campaign prediction AI improve over time?+

Get Started

Dominate Search, AI Answers & Generative Results.

Solnix builds the SEO, AEO, and GEO systems that put your brand at the top of Google, inside ChatGPT's answers, and first in Perplexity's citations — across every channel where your buyers are searching.

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