Frequently Asked Questions

Second Wind is a platform that helps companies sell to AI agents and win more deals. AI now sits in on buyers' biggest decisions, across systems such as ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Google AI Overviews, Google AI Mode, and custom B2B procurement agents. Second Wind models how AI makes those decisions for a company's target buyers, simulates them at scale, and makes the company's case to those agents directly, so it's the provider they recommend when it's time to choose.

Gartner projects that by 2028, over $15 trillion in B2B spend will flow through AI systems. As the agentic economy takes shape, these systems are moving from simply answering questions to researching markets, comparing companies, assessing risk, and increasingly making purchasing decisions on buyers' behalf. In complex, trust-driven markets, companies not adapting to this shift risk being ruled out of high-stakes buying decisions before a human ever enters the conversation.

Second Wind helps companies sell to AI agents. It models how AI makes buying decisions for a company's target buyers, simulates purchasing journeys at scale to find what's costing it selection, publishes agent-facing evidence, and answers buyers' agents directly through agent-to-agent sales endpoints.

Our studies across hundreds of thousands of probes show that strong companies lose AI-led evaluations in ways a mention count never reveals: left off shortlists, placed in the wrong category, flattened into generic positioning, or framed as the weaker option in head-to-head comparisons. You can explore our published studies in Intelligence.

B2B buyers now hand much of their research to AI. They ask it to build vendor lists, compare options, check credentials, and help make the case internally. That AI has effectively joined the buying committee, and it forms a view of your company long before your sales team gets a call.

Selling to AI agents means treating that agent the way you would treat any other buyer: understanding what it weighs, giving it the evidence it needs, and answering its questions accurately and persuasively. When the committee decides, AI is already on your side.

No. SEO is about ranking in traditional search engines. Second Wind is about getting chosen by AI systems: whether they recommend you when your buyers are making a purchasing decision.

Discovery is a core part of that, so Second Wind covers GEO (getting AI to find, cite, and describe you accurately) and keeps its agent-facing content SEO-conscious, including checks on how well AI systems can crawl your main site. Those feed a larger job: making your case to the agents that now sit in on your buyers' decisions.

Profound tracks how often AI mentions and cites your brand, and helps you create content to improve it. Second Wind covers that ground too: we track how AI describes you, cites you, and compares you with competitors across ChatGPT, Claude, Gemini, Perplexity, and other systems, and we publish the evidence that improves it.

The difference is what we optimize for, because being mentioned is not the same as being chosen. We focus on the later stages of the buying journey, where AI compares, vets, and shortlists vendors, and we go deep by vertical, with decision models built for how buyers in industries such as finance and healthcare actually choose. We simulate purchasing journeys for your specific target buyers to find where you lose the deal, answer buyers' agents directly through agent-to-agent sales endpoints, and measure success in pipeline and revenue.

For companies in regulated markets such as finance and healthcare, every change is approved by your team before it ships, with compliance review and a record of published claims built into the platform.

B2B companies that sell complex, high-consideration products and services, where buyers research heavily before they commit and a missed shortlist is expensive. Our current focus is finance, healthcare (starting with revenue cycle management), and enterprise technology.

AI is becoming a participant in how businesses buy. Today it researches vendors and shapes shortlists. Increasingly it will run evaluations and transact on buyers' behalf. Companies have always needed a way to sell to the people on a buying committee, and they now need a way to sell to the agents on it too.

Second Wind is building that infrastructure. Every deployment adds to a growing dataset on how agents evaluate vendors, what evidence moves their decisions, and which changes lead to revenue, and that data sharpens the model for every customer. Our aim is to become the default platform companies use to win deals in an agent-led economy.

Second Wind works in four steps, with a measurement loop that feeds results back into the first:

• Model: Builds a model of how your target buyers and their AI evaluate vendors, based on real observed behavior.
• Simulate: Runs purchasing journeys at scale across seven AI platforms, surfacing the perception and evidence gaps affecting selection.
• Deploy: Publishes agent-facing evidence across an AI Reference Layer, your main website, and your broader web presence.
• Engage: Deploys agent-to-agent sales endpoints that answer research and evaluation questions from buyers' agents in the wild.
• Measure: Connects AI's influence to pipeline and revenue, and feeds the results back into the model.

Every change is proposed by Second Wind's agents and approved by your team before it ships.

The AI Reference Layer (also called the AI Surface) is a structured, agent-readable source of truth that sits alongside your main website, typically on a subdomain such as ai.yourcompany.com. It holds the evidence buyers' agents look for when they evaluate vendors: clear definitions of what you do, comparisons, methodology, proof points, and trust signals. Your main site keeps doing its job for human visitors, while the Reference Layer gives agents a reliable place to verify your case. It is continuously refined using what we learn from agent behavior and outcomes.

When a buyer's agent evaluates vendors, it has questions. Does this company serve organizations like ours? How does it compare on cost, compliance, or integration? What do its customers say? Agent-to-agent sales endpoints let your company answer those questions directly and accurately, at the moment the agent asks.

They also show you what buyers are actually weighing, which feeds back into your sales and marketing. See how this played out in our agent-to-agent sales case study.

Second Wind is built to help companies win more agent-influenced deals by:

• Making the shortlist when buyers ask AI to find and compare vendors
• Being the recommended provider in head-to-head evaluations
• Getting represented accurately: what you do, who you serve, and why you're different
• Holding consistent positioning across ChatGPT, Claude, Gemini, Perplexity, and other systems
• Turning that influence into inbound pipeline and higher win rates

Results from client work are published as case studies in Intelligence.

Your team does. Every change is proposed by Second Wind's agents and approved by your team before it ships. Content is editable in the platform, and you keep a full record of what was published, when, and why.

Compliance is part of the workflow. In finance, the platform applies vertical-specific marketing compliance rules, runs pre-publication review, and keeps a record of every published claim. Combined with team approval on every change, that gives compliance and legal teams full sight of what reaches buyers and their agents before it goes live.

No. The Reference Layer does not mirror your product, service, or landing pages, and we keep customer deployments at or below 1% duplicate content. It holds a different kind of material: reference and evidence content for agents. It is also deliberately focused: every page is published with a specific purpose, and we never flood a subdomain with pages to inflate an index footprint.

No. Search engines penalize content that is low-value, unoriginal, or built to manipulate rankings, whether or not AI helped write it (see our analysis of Google's spam policies). Second Wind works to the opposite standard: a focused set of evidence-backed pages with a clear purpose, reviewed and approved by your team before anything ships.

Setup is lightweight. You complete a short onboarding, add two DNS records, and your AI Reference Layer goes live. We then deploy a CDN worker that captures how AI agents interact with your content. In most cases the whole deployment takes 10-15 minutes.

No. Second Wind runs alongside your existing website and stack with no rebuild required. Where changes to your main site would help, the platform recommends them for your team to approve.

Very little. Each week you get an email summarizing how AI agents are evaluating you, what changed, and the recommended next actions, which you can approve in the platform in one click. You can check in anytime to see agent activity, how you perform in specific buyer journeys, and which competitors and sources agents are weighing alongside you.