SEO & GEO Consulting for
AI‑Driven Visibility

In a world of vanishing blue links, I build the content engine that AI trusts, cites, and promotes. My work is not about ranking for a keyword; it's about **becoming the source** that the search engine's AI chooses to feature.

  • Show up inside AI Overviews and AI Mode for key queries
  • Lower CAC by compounding qualified, non-brand organic traffic
  • Own the comparison blocks for high-intent, decision-stage keywords
Book a 20-min Strategy Call (Free) See My Full Methodology
Laura Mohiuddin's professional SEO and GEO services

"My job is not to build a library of content. My job is to build a knowledge base that the machine will cite."

Your Search Problem Isn't Rankings. It's Visibility.

The Google Zero Reality

The traditional economics of search have collapsed. With AI Overviews (AIO) answering queries directly, the organic CTR on the 'blue links' has been significantly reduced. Simply ranking #1 is now an incomplete success metric. If your content doesn't capture the AI, it won't capture the click or the lead.

Your competitors who adapt to GEO will capture the AI-generated answers while you're left fighting for shrinking click-through rates on traditional search results. **I can help you reclaim that visibility.**

What is Generative Engine Optimization (GEO)?

Short answer: GEO is the strategic practice of engineering content to be favored for citation within AI Overviews, AI Mode, and LLMs. It shifts focus from simple keyword matching to building authoritative entity relationships and providing direct, quotable answers.

  1. 1 Semantic-first architecture (clean code the AI can parse perfectly)
  2. 2 Answer-Block formatting (leading with concise, quotable definitions)
  3. 3 EEAT receipts (verifiable authority signals the AI trusts)
  4. 4 Entity relationship mapping (connecting your brand to relevant topics)

What My GEO Content System Delivers

I focus on quantifiable, AI-ready assets—not vague 'best practices.' Every deliverable is tied to a measurable KPI.

GEO Content System Hubs

Development of answer-first, entity-rich content pillars designed to cover full topic clusters favored by LLMs and AI search systems.

KPI: AI Visibility Rate & Entity Coverage

Technical SEO for AI Mode

Comprehensive audit and optimization of semantic HTML, Core Web Vitals, and JavaScript rendering for perfect machine parsing and AI comprehension.

KPI: CWV Score & Technical SEO Health

Entity Mapping & Schema Blueprint

Creation of a JSON-LD framework linking brand, services, and expertise as verifiable entities to strengthen EEAT signals.

KPI: Entity Citation Density & Rich Result Eligibility

Comparison Block Architecture

Designing and integrating structured data comparing your solution vs. alternatives, optimized for AI summaries and feature comparisons.

KPI: AIO Snippet Capture on Target Comparisons

Sourceable Artifacts (Mini-Reports)

Creation of brief, data-driven studies designed specifically to be cited by AI answers as authoritative primary sources.

KPI: Citation Rate & Source Attribution

Strategic FAQ Implementation

Research and deployment of dedicated FAQ sections targeting People Also Ask and AI Overview questions using proper schema markup.

KPI: FAQ-to-AIO Conversion Rate

Reputation & EEAT Audit

Strategy for structuring author expertise, harvesting first-party reviews, and linking to external authority proofs that validate your expertise.

KPI: Verified Author Bio Deployment

GA4 Measurement & Reporting

Custom configuration of GA4 to track AI-influenced traffic and lead quality, focusing on business outcomes rather than just traffic volume.

KPI: Lead Quality Score & Pipeline Impact

My 5-Step GEO Strategy Process

A transparent, predictable methodology that moves from strategy to machine citation, leveraging AI search dynamics at every step.

  1. Discover & Entity Mapping: Comprehensive audit of existing architecture and identification of high-value knowledge gaps; establishment of core entity relationships and semantic connections.
  2. Technical AIO Readiness: Implementation of semantic HTML, optimization of Core Web Vitals, and deployment of comprehensive JSON-LD schema (HowTo/FAQ/ProfessionalService) for maximum AI comprehension.
  3. Content System Build: Generation of answer-first hubs and sourceable artifacts, focusing on LLM-friendly structure with short factual blocks, lists, and clear hierarchical information.
  4. Launch & Citation Building: Strategic publication of new content combined with active EEAT signal building through off-page authority validation and expertise demonstration.
  5. Optimize & Compound: Continuous tracking of AI Visibility Rate and Conversion Rate metrics with iterative optimization to ensure citation is won, maintained, and expanded over time.

GEO vs. Traditional SEO: The 2025 Trade-Off

Don't risk your pipeline on yesterday's strategy. The metrics for search success have fundamentally changed.

SEO vs GEO: When Each Wins in the AI-Dominated Landscape
Scenario Traditional SEO (Legacy) GEO (Generative Engine Optimization)
Primary Goal Maximize blue link position (#1 ranking) Maximize AI Overview Citation and Rich Results
Success Metric Organic Click-Through Rate (CTR) AI Visibility Rate & Content-Assisted Pipeline
Content Focus High word count, keyword density Direct answers, sourceable facts, entity depth
Technical Focus Page speed, mobile optimization Semantic HTML, structured data, entity relationships
Risk in 2025 High CTR erosion from AI Overviews Lower risk, focuses on Google's explicit EEAT signals

My GEO Methodology: Built on Search Quality Principles

My approach is grounded in established search quality guidelines adapted for the AI era

Evidence-Based GEO Framework

  • Entity-First Architecture: Building content around verifiable entities rather than just keywords
  • Answer Block Optimization: Structuring content in quotable, AI-friendly formats with clear hierarchy
  • EEAT Signal Amplification: Systematically building expertise, authoritativeness, and trustworthiness signals
  • Structured Data Implementation: Comprehensive schema markup for maximum AI comprehension
  • Source Authority Building: Creating content worthy of citation by AI systems as reference material

Strategic FAQ: Answers Engineered for AI Overviews

How do you optimize content specifically for AI Overviews?

I utilize an answer-first format, leading with a concise answer (under 60 words). I structure all procedural guidance using numbered lists and implement proper schema markup. This 'chunking' of content into small, verifiable blocks dramatically increases the likelihood of being selected for AI snippets while maintaining readability for human visitors.

What are the biggest risks of using Generative AI for SEO in 2025?

The primary risk is scaled, thin, or templated content, which search engines actively penalize as spam. Over-reliance on automation without human oversight can lead to factual inaccuracy and low-quality output, compromising Trustworthiness (the T in EEAT). I use AI for augmentation, not replacement, ensuring strategic human review of all content.

What counts as success beyond high rankings?

Success is measured by the Content-Assisted Pipeline metric. I track the percentage of closed deals that interacted with GEO assets, the AI Visibility Rate for target clusters, and the channel-specific Lead Quality Score. The goal is to demonstrate clear ROI from content investments compared to other acquisition channels.

How long until we see AI Overview inclusion?

Time-to-first-inclusion depends on topical competition and content velocity. My methodology aims to achieve AI Overview citation on target queries within the first 60-90 days, focusing initially on comparison and procedural topics that are naturally favored by AI systems for direct answering.

Do you work with companies outside the B2B SaaS space?

The GEO principles apply across industries. I focus on businesses where demonstrating expertise and capturing high-intent search traffic directly impacts revenue and customer acquisition.

Ready to Compete in AI Search?

Stop worrying about vanishing blue links. Start engineering your content for guaranteed machine visibility and AI citations.

Book Your GEO Strategy Session Now Download the GEO Readiness Assessment

Get instant, personalized feedback on your entity density and AI Overview readiness

Understanding Trust in the AI Era (EEAT)

EEAT is Google's core quality framework for credibility. When you have a complex technical question, you trust the experienced specialist over the enthusiastic amateur.

I build in verifiable Experience, Expertise, Authoritativeness, and Trustworthiness through named methodologies and clear receipts so AI and human users alike know they are dealing with a senior expert who understands both technical SEO and the emerging AI search landscape.

Page methodology reviewed against current Google Search Quality Guidelines | Last Reviewed: September 30, 2025

Expert Author: Laura Mohiuddin (Senior Strategist)
Methodology vetted against post-2025 Google Search Quality Guidelines. | Last Reviewed: September 30, 2025