Terakeet / AI search visibility
90%+ citation ownership.
Partnered with a global investment firm to secure citation ownership across major LLMs for the company and its leadership.
Experience at TerakeetAbout
Ryan Brady.
I work across marketing, AI, and product.
Based on Long Island, New York.
Where search, reputation, and AI meet.
AI platforms are becoming a major brand touchpoint: shaping what people learn, which businesses they trust, and the decisions they make. A brand can be missing from an answer, misrepresented, or cited alongside information that quietly changes how people see it.
That is the work I focus on every day as Director of Search Strategy at Terakeet. I lead cross-functional programs for Fortune 500 brands spanning search strategy, brand visibility, online brand risk management, and executive reporting connected to revenue.
I also design and build the tools, automations, and applications behind those programs. That includes frameworks to spot inaccurate AI answers, understand citation patterns, and give teams a clearer picture of how their brands appear across search and AI platforms.
This is my work at Terakeet. The independent projects in Work and personal projects in Builds were built outside that role. My resume covers the full employment history.
Career
The chapters behind the work.
Different settings, with more responsibility for both the thinking and the execution along the way.
Around age 12
R&M Little Business / My first ventureMy first business was in the neighborhood
I started R&M Little Business when I was around 12, offering odd jobs to people in my neighborhood. The flyer was straightforward: help around the house, from shoveling snow and planting flowers to washing cars and mowing lawns. Long before search strategy or AI, I was finding things people needed help with and figuring out how to get them done.
- Turned neighborhood needs into a small business, with a flyer listing the work I could help with.
- That instinct still shapes how I work: notice a need, take the initiative, and make something useful happen.
My first business flyer, around age 12. 2008 to 2012
Mercyhurst University / Early intelligence workLearning to find the signal
I studied Intelligence Studies at Mercyhurst and put that training into practice through an intelligence-division internship with the Nassau County Police Department and an analyst role at the Society of Former Special Agents of the FBI.
- Researched open sources, assessed information, and wrote formal intelligence reports.
- Learned to separate evidence from assumptions and turn complex findings into clear recommendations.
2011 to 2016
Social Weave / FounderBuilding an audience from scratch
I created and managed a network of social accounts across Twitter and Instagram, built content websites, and worked with influencers. It was hands-on experience with the entire loop: publishing something, seeing how people responded, and making the next version better.
- Built a large social following across niche interests and communities.
- Turned audience growth into a business through content, advertising, and partnerships.
The work expanded from one-off publishing into a connected audience and business. 2015 to 2020
Digital Braid / Co-founderTaking a business from launch to acquisition
I co-founded a direct-to-consumer e-commerce company and led its SEO and digital strategy. The work connected search, content, email, and the day-to-day decisions of running a business, from the first stages of growth through acquisition by a global brand.
- Led organic growth, content strategy, and performance marketing.
- Built an email audience and segmented lifecycle programs alongside the search business.
2019 to now
Terakeet / Director, Search StrategyGrowing into strategy, leadership, and building
I joined as an SEO Analyst and progressed through Senior Analyst, SEO Manager, and Technical SEO Lead to Director, Search Strategy. My experience now spans enterprise search, AI visibility, and technical problem-solving.
- Translated complex search and site-architecture challenges into clear technical roadmaps.
- Owned roadmaps, requirements, builds, and adoption for internal tools used across Terakeet.
- Turned research and recurring problems into playbooks, templates, and training others could reuse.
Career highlights
A few things I’m proud of.
Selected outcomes from my work at Terakeet, plus my earlier founder experience. These are career highlights, separate from the independent case studies in Work.
Terakeet / Organic search
$200M+ in revenue.
Generated revenue for a mortgage lender through organic search, outranking major financial publishers for high-intent keywords.
Experience at TerakeetTerakeet / Lead generation
200% lead growth.
Delivered lead growth for a nationwide lender during peak COVID, earning visibility for high-value commercial keywords ahead of established sources.
Experience at TerakeetTerakeet / Enterprise automation
Weeks removed from reporting.
Designed automation systems that shortened reporting timelines and surfaced insights traditional workflows had missed.
Experience at TerakeetTerakeet / Brand monitoring
A clearer view of AI answers.
Built monitoring frameworks to track brand mentions, citation accuracy, and sentiment across Google AI Overviews, ChatGPT, and Gemini.
Experience at TerakeetBefore Terakeet / Founder experience
From zero to acquisition.
Co-founded a direct-to-consumer e-commerce brand, generated millions in revenue through organic growth, and grew the business to acquisition.
Founder experienceSocial Weave / Audience growth
10 million followers.
Built a follower network across Twitter and Instagram and ran advertising campaigns for some of the world’s largest brands.
Founder experienceWhat connects it all
I like being close to the work.
Running a business taught me to care about what happens after an idea leaves the page. A strategy has to reach the people executing it. A tool has to fit the way they actually work. Good documentation has to make sense to the next person who opens it.
That entrepreneurial foundation still shapes how I think: move quickly, build what is needed, and connect the work to business outcomes. My intelligence-analysis background helps me examine the evidence; my search and product experience helps me turn it into something people can use.
Capabilities
What I bring to the work.
Explore the areas I work across.
AI and softwareSystems, workflows, and the practical engineering around them.11 areas
Production LLM content systems
Built end-to-end pipelines for content generation — topic discovery, brief creation, drafting, evaluation, and publish-ready output. The shape of the work, not just the model call.
Deterministic AI orchestration
The AI reads, routes, and drafts; plain code owns every number — payment math, dates, contract totals. The split that turns a demo into something an operator can trust.
PDF parsing & form-filling
Text extraction, table parsing, form-field filling, and page rasterization across the messy PDFs real businesses actually produce — scans, forms, and 400-page spec books.
Reverse-engineering legacy formats
Undocumented fixed-column file formats, decoded by diffing exports and validated by round-tripping through the real system. Archaeology, written down so nobody does it twice.
Prompt engineering & context design
Designed prompt structures, context libraries, retrieval flows, and output specifications. Where output quality actually moves — more than model choice.
NLP at scale
Built classification, clustering, summarization, and topic-extraction systems that turned messy text data into the signals product and editorial decisions actually run on.
Embeddings & retrieval
Worked on semantic search, retrieval-augmented generation, and evidence-grounded output that doesn't hallucinate its citations.
Computer vision
Built segmentation, classification, and OCR pipelines — turning 'point a camera at a thing' into structured data. The rare-coin scanner is the working example.
AI agent architecture & operation
Decomposing workflows into what agents actually need: skills, tools, evals, memory, feedback loops. Systems that run on their own and improve without someone kicking them off.
Custom AI tools & automation
Shipped workflow-specific AI tools — order validation, content ops, internal knowledge systems, dashboards. Most of my career has been shaped by builds like these.
Web development & front-end engineering
Shipped marketing sites, internal tools, and AI front-ends in TypeScript / Next.js / React over the years. This site is the working portfolio piece.
Product workTurning an open question into useful, maintainable work.4 areas
Product roadmapping & ownership
Defining product vision and roadmap for SEO, AI-visibility, and brand-monitoring tooling. Translating customer behavior, technical constraints, and business goals into prioritized product work.
Customer + data → product decisions
Turning user behavior, session data, and search-intent research into product hypotheses and shipped features. The 'what to build next' muscle.
Cross-functional team leadership
Working across engineering, design, analytics, and SEO stakeholders. Translating between disciplines and aligning teams around a shared outcome.
Experimentation & measurement
Running A/B tests, defining success metrics, and using outcomes to validate hypotheses and iterate. Pre-decided KPIs over post-hoc storytelling.
Search and visibilityThe research, technical structure, and content work behind discoverability.10 areas
AEO, GEO & AI-search visibility
Worked on how brands appear across ChatGPT, Perplexity, Gemini, and Google AI Overviews — measuring citation share, accuracy, sentiment, and source coverage.
Reputation management for CEOs & brands
A career of shaping what people find when they search an executive or a brand — owning the first page, displacing what shouldn't rank, and tracking how the story reads across search and AI answers.
AI search measurement & answer-ready content
Measured AI citations, brand mentions, and answer presence across generative answer engines — running measurement pilots, evaluating AI-visibility tools, and building the answer-ready content frameworks (FAQs, buying guides, comparisons, LLM-readable experiences) that earn the citation.
Global content strategy & search-demand roadmaps
Turned search demand and customer intent into prioritized, measurable content roadmaps — content gap analysis, localization-aware templates, and center-of-excellence operating models that keep quality consistent across markets and regional teams.
SEO program leadership: vendors, tooling & KPIs
Ran the program layer of enterprise search — vendor and agency relationships (statements of work, budgets, deliverables), the tooling stack from Search Console and Bing Webmaster Tools to enterprise crawlers, and the KPI frameworks that connect visibility to qualified traffic and revenue.
Search-friendly web architecture
Rendering strategy chosen for crawlers as much as users — server-side rendering, static generation, incremental regeneration, and what client-side JavaScript costs you in indexation. Reusable SEO plumbing that platforms inherit: centralized metadata, generated sitemaps, structured-data components, redirect services, internal-linking systems. This site is the reference implementation: Next.js, generated sitemap and robots, JSON-LD, llms.txt.
Core Web Vitals & SEO quality gates
LCP, INP, and CLS diagnosed at the source — JavaScript execution, rendering, image and font loading, third-party scripts, caching and CDN behavior. Then the guardrails: automated checks for broken links, metadata, canonicals, structured data, redirects, and sitemaps wired into CI so regressions never reach production, plus log-file and crawl analysis across Google and LLM crawlers.
Enterprise & technical SEO
Fifteen-plus years inside the technical layer of how big sites work in search — crawlability, indexation, canonicalization, redirects and robots directives, URL architecture, XML sitemaps, hreflang, internal linking, JavaScript rendering, structured data and JSON-LD, and the launch QA and site migrations where all of it gets tested at once.
Marketing data infrastructure
Built dashboards, instrumentation, and attribution layers — the data plumbing that lets a marketing program tell whether what it's doing is actually working.
Brand intelligence & OSINT methodology
Applied intelligence-analyst training to brand and online-presence problems — sourcing, attribution, network analysis, and threat-surface mapping.
Growth and communicationThe operator experience that keeps the work connected to people and outcomes.7 areas
0-to-1 founder experience
Co-founded and grew a DTC e-commerce brand from zero to acquisition. Five years running organic growth, content, and lifecycle marketing — the operator side of the work.
Document-workflow automation
Word, Excel, and PDF pipelines for operators who live in Office, not web apps. The deliverable is a document that looks like their office produced it — because their templates did.
Operator-first tooling
Business rules live in files the operator can edit in Excel — never buried in code that needs a developer. The person who knows the business maintains the business logic.
Organic growth strategy
Grew a DTC brand from zero to acquisition on pure organic — content, SEO, owned channels, no paid spend. Built the earned-channel playbook that compounded into the exit.
Content strategy & editorial governance
Built editorial frameworks at enterprise content scale — taxonomy, intent design, source-of-truth mapping, brand voice, and the governance layer that keeps a hundred-piece-per-quarter program coherent.
Lifecycle marketing & email
Grew a DTC list to 300,000+ segmented subscribers with full lifecycle automation — welcome flows, abandoned-cart, post-purchase, win-back. The retention-compounding side of growth.
Strategic communication & executive narrative
Translated technical complexity into the strategic narrative that C-suites, VPs, and boards actually need — briefs, decks, frameworks, executive-ready dashboards, and the leadership-ready recommendations that make search and AI work decision-ready. Influence without direct authority is most of the job.
Off the clock
The rest of the picture.
At home, I’m a dad to twin girls. Away from a screen, I’m usually interested in a fishing trip, a round of golf, or a good cup of coffee. Some of my personal builds start there too: a coffee recipe to improve, or something useful to make for my girls.
- Dad to twin girls
- Fishing
- Golf
- Coffee