Landing Page SEO & AEO Strategist
Coframe Open · verified Jul 30, 2026 Mid-level SEO role at Coframe. San Francisco · full-time · $120,000–$180,000 base.
Growth Roles summary, based on the employer's posting.
What you'll do
- Build strategies so customers get found, understood and recommended by AI agents and new search platforms
- Sit with clients to unpack their organic and paid search goals, audiences and intent
- Generate and ship landing pages in bulk through Coframe's platform, targeting thirty or more each week
- Rework AI-generated copy for specific keywords, products, locations and use cases where the automation falls short
- Spot recurring product gaps and turn customer feedback into insights for the wider team
What you bring
- Solid background in SEO and organic growth, including technical and programmatic work
- A clear take on how AI agents are reshaping search, discovery and how customers get acquired
- Track record building or tuning landing pages at scale
- Direct experience working with customers and external stakeholders
- Comfort with AI tools, prompt-driven workflows and Claude Code or similar
Who this fits
This suits a highly technical, detail-driven SEO strategist who is happy advising clients and executing fast at volume. You need to be comfortable in an early-stage setting where the playbook is still being written and processes keep shifting. It is customer-facing rather than a software engineering job, though technical enough to pick up new tooling. Pay is stated at 120,000 to 180,000 USD per year.
From the employer
Landing Page SEO & AEO Strategist
About Coframe
Coframe is building AI-native technology that helps companies create, test, and optimize digital experiences at scale. Our team works directly with customers to turn that technology into measurable growth.
As discovery shifts from traditional search engines to AI agents, companies need a new approach to being found, understood, and recommended. We are hiring an AI Search & Agent Optimization Strategist to help define that approach.
The Role
This is a hands-on, customer-facing role at the intersection of Agent Engine Optimization, AI search, SEO, PPC, content, and growth.
You will help build Coframe’s Agent Engine Optimization practice, enabling customers to increase their visibility across AI agents and emerging search experiences, with SEO serving as the technical and strategic foundation.
You will work directly with customers to understand their search strategy ( Paid & Organic ), use Coframe’s platform to generate and launch landing pages at massive scale, and refine the output when the technology does not fully address a specific use case. You will optimize these pages for paid search as well as organic search rankings.
You should be strategic enough to advise customers, technical enough to learn and operate new tooling ( bonus points for adding features ), and practical enough to fill gaps manually when needed. This is not a software engineering role, but it is well suited to someone who is highly technical, detail-oriented, and comfortable working with emerging AI products.
You will also help shape a new product and service offering, turning early customer needs into repeatable strategies, workflows, and product insights.
What You’ll Do
Develop strategies that improve how customers are discovered, understood, and surfaced by AI agents and emerging search platforms.
Partner with customers to understand their SEO goals, target audiences, search intent, and landing page strategy.
Advise customers on Agent Engine Optimization, AI search, technical SEO, and scalable landing page programs.
Drive Landing Page strategy for PPC campaigns
Use Coframe’s platform to generate, refine, and launch high volumes of landing pages.
Adapt AI-generated content for specific keywords, audiences, products, locations, and customer use cases.
Build repeatable workflows that support the delivery of 30 or more landing pages per week.
Apply strong editorial and SEO judgment to improve quality where automated output falls short.
Identify emerging patterns in AI discovery and translate them into customer recommendations, delivery practices, and product insights.
Identify recurring product gaps and translate customer feedback into actionable insights for the broader team.
Help define the standards and best practices for a new category of AI-powered growth.
What We’re Looking For
Strong experience in SEO, organic growth, search strategy, or a related field, including technical and programmatic SEO.
A strong point of view on how AI agents are changing search, discovery, and customer acquisition.
Experience creating or optimizing landing pages at scale.
A clear understanding of search intent, keyword strategy, content quality, and conversion.
Familiarity with Agent Engine Optimization, AI search, and emerging discovery behavior.
Experience working directly with customers, clients, and external stakeholders.
Comfort using AI tools, prompt-based workflows, and new software products.
Strong editorial judgment and attention to detail.
The ability to balance strategic thinking with fast, high-volume execution.
The ability to bring structure to an emerging product area where the playbook is still being written.
Comfort operating in an early-stage environment where products and processes are still evolving.
Use Claude Code ( or similar )
Nice to Have
Experience in agency, consulting, professional services, or customer success.
Familiarity with CRO, A/B testing, personalization, or paid search.
Experience with ecommerce, SaaS, or digitally native businesses.
Working knowledge of CMS platforms, analytics tools, HTML, or CSS.
Why This Role
You will help define how Coframe delivers a new AI-powered growth product, work directly with customers on high-impact problems, and influence how the platform evolves.
This is an opportunity to move beyond optimizing for traditional search engines and help define how companies compete for visibility in an AI-agent-driven world.
You will work directly with customers, influence how Coframe’s platform evolves, and help establish the strategies and operating model for an emerging category.