Aviel A. Fahl
Engineering the Infrastructure
of Organic Growth.
Search outputs are volatile. We can't control the algorithm, but we can engineer the inputs.
I partner with Product and Engineering teams to build the rendering and data architecture that ensures your product answers the right questions, no matter which LLM or AI Agent asks them.
SEO in the AI Era isn't magic.
It's Product Engineering.
You don't need a degree in Machine Learning or the ability to calculate cosine similarities between vectors to win in search.
You also don't need to obsess over query fan-outs or the results of various mention and citation tracking tools (HINT: they do not measure what's actually relevant).
But you must control the inputs: the intersection of Web Technology, User Experience, and Market Authority.
Search Architecture
Understanding how crawlers (Googlebot, GPTBot) actually render and parse your code. It's about fixing the critical rendering path, not just meta tags.
Product Utility
Turning raw data into useful tools and "mini-apps". If your page doesn't offer more utility than an AI summary, it won't survive.
Entity Verification
Building a brand that search engines trust. This is the PR and Marketing layer—verifying your entity to solidify your place in the Knowledge Graph.
What I Bring to the Table
I align your teams around a shared vision. I ensure Product, Engineering, and Marketing understand exactly what we are building for organic growth, and why it drives the business forward.
Rendering Architecture
Solving the conflict between modern JS frameworks (React/Next.js) and Crawler budgets. I architect rendering paths that ensure your content is indexed before it interacts.
Product-Led Strategy
Identifying where existing product data and features can be leveraged to capture search demand, effectively turning your inventory into a scalable acquisition channel.
Executive Alignment
Aligning marketing revenue targets with the technical roadmap. I ensure SEO is prioritized as a cross-functional growth lever rather than a siloed marketing task.
Professional Experience & Impact
Fractional Director of SEO & Consultant
Feb 2025 - Present
Partnering with in-house Product and Engineering leadership to translate executive revenue goals into prioritized, engineering-ready roadmaps. I architect scalable growth infrastructure that integrates deep technical audits with product-led content strategies.
Founder & Engineer, Banksparency.com
Jan 2025 - Present
My 'Live Lab' for programmatic SEO. I engineered a serverless pipeline (Supabase/Puppeteer) and a Next.js front-end to ingest daily financial data from 80+ institutions, proving that data utility can drive growth without manual content operations.
Director, Search Strategy (SEO) at Fortune Media
Nov 2022 - Jul 2024
Engineered an SEO roadmap that unlocked $3M in new annual revenue (+50% YoY). I aligned editorial vision with technical capability, resolving critical rendering debt and operationalizing a high-intent content engine across competitive verticals.
Sr. Technical SEO Analyst at 2U, Inc.
Sep 2019 - Nov 2022
Rapidly promoted through three roles (Analyst → Senior → Technical Lead). I led the engineering initiative to standardize Core Web Vitals defenses across a 50+ domain network, achieving a >30% reduction in mobile latency while managing complex site migrations.
The S.A.G.E. Model
When we stop chasing algorithms and start engineering value, we focus on four controllable inputs. S.A.G.E. is the blueprint used to ensure every part of a stack is optimized for discovery.
Structured Signals
Search engines process content in 'chunks' for vector retrieval. The DOM (Semantic HTML, Schema, APIs) must be architected to ensure clear semantic boundaries, maximizing cosine similarity for AI queries.
Authority & Authenticity
Backlinks remain the currency of the web, but AI demands verification. Entity validation requires combining strong citation profiles with internal signals—transparent methodology, authorship, and primary sourcing—that prove expertise.
Generative Access
Ensuring the new wave of search engines can actually reach the content. Infrastructure (WAF, robots.txt) must be configured to welcome legitimate AI agents rather than blocking them.
Experience Depth
If the AI gives the answer, why should the user click? The focus must be on utility—tools, data views, and interactivity—that offers value a text summary cannot replicate.
Validating the Product-Led Thesis
I built Banksparency.com to bridge the gap between SEO strategy and modern engineering. My goal was to prove that Helpful Content and Product-Led SEO are engineerable outcomes, not just buzzwords.
By architecting a full-stack solution (Next.js, Supabase, Automated Pipelines), I demonstrated that a low-authority challenger can outmaneuver incumbents by targeting underserved data queries with superior UX—turning raw data into a scalable asset.
See the ProjectWays to Work Together
From surgical audits to long-term strategic oversight.
The Technical Diagnostic
Project-BasedA focused audit to identify growth blockers. I review your rendering strategy, schema, and crawl logs to find the hidden friction points.
- ✓Rendering & Indexing Analysis
- ✓Prioritized 'Dev-Ready' Tickets
- ✓Revenue-Weighted Engineering Backlog
Fractional Director
RetainerStrategic leadership for teams that need more than an agency but less than a full-time executive. I sit with your Product & Eng teams to ensure organic growth is baked into the roadmap.
- ✓Roadmap Integration
- ✓Hiring & Team Mentorship
- ✓Cross-Functional Advocacy