Draft:Reach AI
Reach AI - SEO & AISO company
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Comment: In accordance with Wikipedia's Conflict of interest guideline, I disclose that I have a conflict of interest regarding the subject of this article. Bernardo Ferreira - Reach AI (talk) 22:32, 10 March 2026 (UTC)
Reach AI
Reach is a technology company that develops an artificial intelligence-powered organic growth platform designed to help businesses increase visibility in both traditional search engines and AI-driven search interfaces such as ChatGPT and Perplexity. The company positions its product as an autonomous, end-to-end system that executes the full search engine optimization (SEO) and AI search workflow—including strategy development, keyword research, content production, on-page website optimization, community engagement, and backlink acquisition—without requiring human intervention from the client.
Reach operates primarily with growth-stage companies and markets itself as an alternative to traditional SEO agencies and fragmented tool stacks, emphasizing outcome-driven results over activity-based reporting.
Background
The company was founded in response to what its founders identified as two compounding shifts in digital buyer behavior: a decline in the effectiveness of traditional outbound marketing channels due to spam saturation, and a fundamental change in how buyers conduct research and evaluate vendors. Specifically, the founders observed that a growing portion of the pre-purchase discovery and shortlisting process was migrating from conventional Google search results to AI language model interfaces, where users request recommendations, compare competitors, and validate vendor claims through conversational queries.
Reach was built on the premise that most SEO and AI search work is "systematic and playbook-driven," and therefore automatable through multi-agent AI orchestration combined with embedded domain expertise. The company describes its approach as transforming professional services into scalable software—a strategy aimed at disrupting what it characterizes as a $100 billion or more global SEO and AI search market.
Product and technology
The Reach platform combines AI agents, custom automated workflows, and human expert oversight to execute organic growth strategies end to end. The product is designed to remove the need for clients to manage separate tools, agencies, freelancers, or internal SEO specialists.
Core capabilities
The platform is described as executing the following functions autonomously:
- Business context ingestion: Reach conducts a deep intake of the client's product, positioning, ideal customer profile (ICP), and buyer journey to build a proprietary knowledge base that informs all subsequent activity.
- Search and prompt demand research: The system analyzes large volumes of keywords and conversational prompts—often hundreds of thousands—to identify the small subset (typically less than five percent) that correlates most strongly with buyer intent and commercial outcomes.
- On-page website optimization: AI agents implement technical and content-level changes directly to client websites.
- Content production and publishing: The platform generates and publishes SEO- and AI-optimized content at scale, calibrated to the client's voice, positioning, and target queries.
- Community engagement: Reach automates participation in online communities such as Reddit, where buyers research and discuss solutions, to build brand presence and generate citation signals.
- Backlink acquisition: The system pursues external link-building to strengthen domain authority and AI citation likelihood.
- AI citation optimization: Reach conducts ongoing reverse-engineering of how large language models (LLMs) select content to cite in responses, and continuously updates strategy as model behaviors evolve.
Optimization loop
A core design principle of the platform is a continuous optimization loop tied to business outcomes rather than activity metrics. Reach tracks engagement signals, assisted conversions, pipeline contribution, and sales conversation data in addition to standard visibility metrics. The system uses these signals to prioritize high-performing content and strategies while discontinuing underperforming ones.
Forward-deployed experts
Reach pairs its automated platform with what the company calls "forward-deployed experts"—human specialists in organic growth who oversee execution quality, ensure strategic coherence, and intervene at critical decision points. This hybrid model is presented as a distinguishing feature from fully automated AI content tools, which the company argues often produce volume without pipeline impact.
Business model
Reach operates as a managed-outcome service rather than a self-serve software product. Clients engage the company to own and execute their entire organic search and AI search growth function. The company competes with both traditional SEO agencies and standalone AI content or analytics tools, positioning itself as a replacement for the fragmented combination of tools, agencies, and freelancers that many growth teams currently use.
The platform is described as continuously improving through a network effect of client engagements: learnings about what drives AI citations, recommendations, and conversions across Google and AI search are codified back into the platform, theoretically benefiting all clients over time.
Market context
Reach operates at the intersection of two major transitions in search behavior. First, Google has introduced AI Overviews and AI Mode, shifting its results pages away from traditional lists of links toward AI-generated summaries. Second, a substantial share of buyer research—particularly in B2B contexts—has shifted to LLM platforms such as ChatGPT and Perplexity, where users ask open-ended questions rather than entering keyword queries.
These shifts have created a new category of marketing challenge: companies that previously optimized for Google's ten blue links may now be invisible in the AI-generated answers that increasingly precede or replace those results. Reach's product thesis is that visibility in AI answers is predictable and engineerable, and that the companies that build expertise and content footprints aligned with how LLMs generate responses will capture an outsized share of future organic demand.
The broader SEO market has historically been characterized by high service intensity, fragmented tooling, and a significant gap between the strategic and executional requirements of the work. Reach's approach is to close this gap through automation and embedded expertise at scale.
Notable clients and results
Reach has published case studies and client outcome data for a number of companies across sectors including sales technology, travel, insurance, and e-commerce. The following results have been disclosed publicly:
ColdIQ
ColdIQ, a sales consultancy and tooling company, reported that within three months of engaging Reach, organic search and AI search became their number-one traffic source. The engagement was attributed with contributing to $534,000 in additional Annual Recurring Revenue (ARR).[1] in a single month (January), generating 1.8 million incremental impressions for high-intent keywords and prompts, and influencing up to 40.9 percent of leads from their website.
Carro
Carro, an e-commerce platform provider, was established as a visible recommendation in high-intent evaluation queries such as "best Mirakl alternative" and "best ecommerce inventory management software" following work with Reach. The engagement also involved narrative positioning work aligned with Carro's rebranding, with the goal of shaping how AI models characterize and differentiate the company in generated responses. After approximately four months, Carro began receiving inbound leads originating from AI recommendations, including one notably attributable to a ChatGPT query.
Indie Campers
Indie Campers, a campervan rental company with over $100 million in annual recurring revenue, achieved a 15.24 percent year-over-year increase in organic purchases—a metric the company highlights as direct commercial conversion rather than traffic volume alone.
Founding and leadership
Co-founders
José Velez is the co-founder and CEO of Reach. Prior to founding Reach, Velez founded Rely.io, a developer platform that went through Techstars NYC 2021. He raised approximately $3.6 million in funding, built a team of more than 20 people, and launched products that reached #1 Product of the Day on Product Hunt. Rely.io's tools were used by engineering teams at companies including ESPN Bet and Feedzai, establishing Velez's track record in B2B and developer-focused software.
José Pedro Nunes is the co-founder and CTO of Reach. He previously served as VP of Engineering at Unbabel and as Head of Engineering at both BeReal and Sky. Nunes brings extensive experience building and scaling engineering organizations across high-growth technology companies.
Founding team
In addition to its co-founders, Reach's founding layer includes several specialists across AI search, product engineering, design, and operations:
- Bernardo Ferreira (Founding AI Search Optimization Strategist) has generated over 250 million organic sessions across multiple industries. He previously led the SEO and GEO department at Portugal's largest e-commerce company, and directs a postgraduate program in Traffic Acquisition at IPAM[2]
- Jacques Ikot (Founding Product Engineer) is a former Full Stack Engineer at AppSmith, where he built custom AI-powered agents and applications, and has previously served as CTO at an earlier startup.
- Alex Abiola (Founding Product Designer) has worked with Velez since the early days of Rely.io, providing continuity in product design from their prior collaboration.
- Mathias Krauss (Founder Associate) previously served as a founder associate at Lanch, which raised €26 million and scaled to more than 160 people in under two years, and as an associate at HV Capital.
- The company is headquartered in Lisbon, Portugal, and has worked with clients across Europe, Latin America, and North America.
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