What do you do?
A plain statement of your services, in words a model can lift and repeat without guessing.
ChatGPT, Perplexity, Gemini, Claude and Google's AI Overviews increasingly do the first round of research for B2B buyers. They read your website, weigh you against the alternatives and hand back a shortlist. The Narrative and AI-Readiness Audit shows how those systems understand your business today, and what to change so they describe it accurately.
+ For growing B2B companies
For twenty years, getting found meant SEO. You wrote pages for people, earned rankings for keywords and trusted the buyer to click through ten blue links, compare the options and decide.
Today that first read often happens inside a large language model. A buyer asks an AI assistant who can help with a repositioning or a market entry, and the model summarizes the field before anyone visits a site. AI agents are starting to go a step further and gather options on the buyer's behalf.
Marketing now has two audiences: the people who hire you and the machines that brief them. The businesses that come through clearly state what they do, who they serve and what proves it, in language a model can read, trust and repeat.
Before an LLM recommends anyone, it tries to answer the same things a careful buyer would. Your website is the first source it reads. Here is what we look for in each.
A plain statement of your services, in words a model can lift and repeat without guessing.
Named industries, company stages and situations, so the right buyer recognizes themselves in the answer.
Case studies, outcomes and outside references a model can find, connect to the claim and cite.
A point of view and a difference that survive summarization, so you read as a distinct firm instead of a category.
We read your business the way an answer engine does, then the way your best prospect does. The space between those two readings is where the work is.
Where you appear when buyers ask ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews about your category, which sources those answers cite and how you're described next to competitors.
Whether your pages can be crawled, parsed and understood: clear service definitions, consistent entity names, schema.org structured data, llms.txt and a page structure a model can extract from.
How well your messaging explains the offer, the audience and the outcome. We flag vague language, buried services and claims that sound like every other firm in your space.
Which claims your case studies, results and outside mentions actually support, and where added evidence would give a model something credible to cite.
Search rewarded the loudest page. AI rewards the clearest one.The Vault Collective
We agree the pages, buyer questions and data sources up front. You receive the findings and a prioritized plan your team, writer or web partner can put to work.
Scoped to youPrice agreed before work begins
A sample of real buyer questions run across major AI assistants, showing where you appear, what's said about you and which sources get cited.
Page-by-page notes on what machines and people can understand clearly, with examples pulled from your own site.
How your story compares with competitors, which claims hold up and what evidence would make them stronger.
The changes to make first, why they matter, who should own them and how to track progress.
Illustrative example. This is not a client result.
Built for founders and marketing leaders at established, growing B2B companies with an offer that takes some explaining.
The Vault Collective is a growth strategy consultancy led by Lisa LaCour, with three decades of marketing and growth leadership at Endeavor, AOL, Outbrain and Comcast. We look at how the offer is organized and who it's for, then make it legible to the people and the machines doing the choosing.
For a global ticketing platform, that meant organizing more than 40 product names into one product story, four market messages and a sales narrative leadership could use.
Read the ticketing platform story →AEO is the practice of making your business easy for AI systems to understand, trust and cite when they answer a question. SEO focuses on ranking pages; AEO focuses on how clearly LLMs like ChatGPT, Claude, Gemini and Perplexity can describe what you do. You'll also hear it called generative engine optimization, or GEO.
They work together. SEO still matters, and many AI answers draw on pages that already rank well. AEO adds a second layer: clear definitions of your services, consistent naming, structured data and proof a model can connect to your claims.
AI agents research and compare options on someone's behalf. They read websites quickly and literally. A site that states its offer, audience and evidence plainly gives an agent what it needs to include you.
AI answers vary by question, model and moment, and anyone promising placement is guessing. What we deliver is a clear view of the changes most likely to improve how you're understood, plus a way to track visibility, visits and inquiries separately.
Each audit is scoped to your business: the pages, buyer questions and competitors in the review. We agree scope and price together before work begins. The audit stands on its own or as part of a broader TVC engagement. See how we work.
You keep the findings and the plan. Many teams hand them to a writer, designer or web partner. When you'd like help with the writing, the site or the bigger positioning question, we scope that separately.
Tell us what you sell, who you want to reach and what you're trying to improve. We'll confirm the fit and agree the pages, access and scope before work begins.
Start a conversationAlso available as part of a broader TVC engagement. See how we work.