Funded startups face a different reality. Capital constraints. Compressed timelines. Boards that want pipeline metrics, not traffic charts.
Most agencies default to awareness-stage blog posts. Startups need bottom-of-funnel pages that capture buyers actively evaluating solutions. Every dollar of burn matters.
New brands do not exist in knowledge graphs. Search engines and AI systems cannot recommend what they do not recognize. Entity foundation must come before content scale.
Buyers increasingly discover software through ChatGPT, Perplexity, and AI Overviews. Startups invisible to AI retrieval systems miss an accelerating share of qualified demand.
Seed-stage SEO looks nothing like Series B SEO. Most agencies apply the same playbook regardless. The right approach adapts to your growth stage, not your contract size.
Every service is designed to build compounding organic growth from day one. No filler. No generic playbooks.
Schema deployment, knowledge graph optimization, crawlability, and retrieval readiness. We establish your brand as a recognized entity across search and AI systems.
Schema Markup | Site Architecture | Entity Mapping
Content clusters built around entity relationships, not keywords alone. Every asset targets buyer intent with evidence-dense, retrieval-ready content.
Content Clusters | Intent Mapping | Editorial Calendar
Feature, use case, solution, and comparison pages engineered for conversion. High-intent pages that capture buyers at the decision stage of their journey.
Solutions Pages | Use Cases | Comparisons
AI search visibility across ChatGPT, Gemini, Perplexity, and Google AI Overviews. Citation engineering, entity optimization, and AI-native measurement.
AI Citations | LLM Visibility | Entity Signals
Third-party corroboration through strategic mentions, co-citations, and structured references. Multi-source validation that search engines and AI systems use to confirm authority.
Digital PR | Link Building | Entity Signals
Traditional SEO metrics plus AI-native tracking. Citation share, brand mention frequency, entity recognition strength, and passage-level retrieval rates across AI platforms.
AI Metrics | Pipeline Attribution | Dashboards
Most SEO agencies start with keywords. We start with entities. Our Entity-First Framework builds the foundational architecture that both search engines and AI retrieval systems use to identify, trust, and recommend your brand.
Structured content earns a 2.3x citation advantage over unstructured prose. Every page we build is optimized for extraction by AI systems, not just rankings on Google. The result: your startup becomes the default answer wherever buyers search.
Establish the brand entity across knowledge graphs, structured data, and authoritative platforms.
Design information architecture around entity relationships. Content clusters map to entities, not keywords.
Build external validation through third-party mentions, co-citations, and cross-platform entity presence.
Track entity recognition, citation rates, and brand mentions across both search engines and AI systems.
Each funding stage demands a different SEO approach. We build on previous foundations instead of starting over.
or up to $2M ARR
1. Technical foundation and entity establishment
2. Schema deployment and knowledge graph entry
3. High-intent bottom-of-funnel page capture
4. Core transactional pages (features, use cases)
5. Competitor keyword gap analysis
or $2M to $10M ARR
1. Topical authority building through content clusters
2. Content velocity and editorial operations
3. Mid-funnel educational content expansion
4. Internal linking architecture optimization
5. GEO program initiation and AI citation tracking
or $10M+ ARR
1. Programmatic SEO at scale
2. Competitive displacement campaigns
3. Multi-market and international expansion
4. Comprehensive GEO across all AI platforms
5. In-house team transition support
Discover how we scaled Dovetail, a $63M USD Series A funded B2B SaaS company's monthly organic traffic nearly 900% by establishing SEO as a predictable, sustainable growth channel.
In this case study, you'll learn the strategy and tactics we implemented to tackle the core challenge of capturing the markets adjacent to research.
Learn how we grew Cascade, a $29M USD Series A funded B2B SaaS company, through Product-Led SEO.
This case study will show you how we addressed the challenge of creating a category and the strategy and tactics we implemented to achieve a 670% increase in monthly organic traffic + more.
DR 30+ domains: 3-4 months for traffic, 5-8 months for pipeline. New domains: 6-12 months.
Capital constraints, compressed timelines, entity recognition from near-zero, ROI within fundraising cycles.
$5k to $15k/mo. Seed = foundation + high-intent pages. Series A/B = full content programs + entity optimization.
Agency until Series B/C. Cross-client pattern recognition > single hire perspective.
Entity-first SEO + GEO: technical SEO, schema, topical architecture, transactional pages, AI visibility, measurement.
Optimizes for AI citation across ChatGPT/Gemini/Perplexity. Early movers lock in default answer status.
Traditional metrics (traffic, rankings, DR, conversion) + AI-native metrics (citation share, brand mentions, entity recognition, retrieval rates).
Yes Seed = foundation + bottom-funnel. Series A = topical authority + content velocity. Series B = programmatic + competitive displacement + GEO.