You've invested in good website copy. It reads well, it explains what you do, and it probably converts reasonably well, too. But here's a question worth sitting with: can an AI actually read it?
Not in the sense of loading the page. In the sense of understanding it well enough to extract a passage, attribute it to your business, and include it in a response to someone asking exactly the question you answer.
That's the new bar, and many B2B websites aren't clearing it.
When a buyer uses ChatGPT, Perplexity, or Google's AI Overviews to research a solution, the AI doesn't read your website the way a human does. It breaks your page into small chunks, evaluates each chunk for usefulness, and either extracts it or moves on. Context doesn't carry between chunks. Each passage has to earn its place independently.
Research into how these systems retrieve content suggests that AI tools typically pull around 380 words from any individual webpage per query. That's a small slice of most B2B service pages. If your copy is vague, generic, or relies on surrounding text to make sense, it's unlikely to make the cut.
The difference between content that gets cited and content that gets skipped usually comes down to specificity.
AI systems evaluate content at the sentence level, looking for passages that clearly name things, explicitly state relationships, and include enough context to stand alone. Consider the difference between these two sentences:
"We help ambitious businesses unlock their potential." [Guilty as charged, and we know we're not alone. This sentence could describe almost any agency on the internet, which means an AI has no idea who to attribute it to, or whether it's worth citing at all.]
"Aamplify is a HubSpot Platinum Solutions Partner that builds B2B websites on HubSpot Content Hub, integrating CRM, marketing automation, and website analytics in a single platform."
The second sentence names the entity, states what it does, specifies the platform, and provides enough context to be understood on its own. That's what extractable content looks like.
A few patterns consistently undermine extractability in B2B website copy:
Unresolved pronouns. A sentence like "it also includes full reporting" is unusable if the preceding sentence isn't in the same chunk. Every sentence needs to name its subject explicitly.
Claims without conditions. "Our approach improves campaign performance" gives an AI nothing to verify or attribute. "Aamplify's HubSpot-integrated approach connects campaign activity to CRM data, allowing B2B marketers to attribute pipeline contribution by channel" is a sentence worth citing.
Assumed knowledge. Copy that relies on the reader already knowing your category, your product, or your terminology will lose an AI at the same points it loses a first-time human visitor.
Before commissioning a full content audit, try these on your most important pages.
The isolation test. Pick a sentence at random from the middle of a page and read it completely out of context. Does it make sense on its own? Does it name the subject explicitly? If the sentence collapses when removed from the surrounding paragraphs, that section has an extractability gap.
The scroll test. Scroll your homepage until the headline and hero section disappear off-screen, then start reading from wherever you land. A visitor (or an AI chunking that section) should be able to identify what the business does, who it's for, and what problem it solves from the mid-page copy alone.
The disambiguation test. Read a sentence from your services page and ask whether it could describe any company in your category. If the answer is yes, an AI won't know which one to attribute it to.
The access test. Run your URL through a tool like NotebookLM or open the page with JavaScript disabled. If the content doesn't load cleanly, AI crawlers may have the same experience, and your pages that can't be read won't be cited.
Not as dramatically as it might sound. The qualities that make content useful to an AI (e.g. clarity, specificity, self-contained sentences) also make it better for human readers. The shift is mostly one of intention.
Most B2B website copy is written to flow across a full page visit, building an impression gradually. AI-friendly content is written to be useful in fragments. That means front-loading the important information, being explicit about who you are and what you do, and writing sentences that don't depend on what came before them.
For B2B businesses where buyers are doing deep research long before they make contact, appearing credibly in AI-generated responses is increasingly part of how you get found. The businesses showing up in those responses aren't necessarily the biggest or the best-known. They're often the ones whose websites are clearest about what they actually do.
Run the four tests above on your homepage and your highest-traffic service pages. Look for sentences that rely on surrounding context, claims that lack specifics, and sections that could belong to any business in your category.
Most fixes are not about restructuring pages from scratch. They're about being more precise about naming things, stating relationships clearly, and making every sentence do its own work. That's good writing regardless of whether the reader is human or machine.
Before the first day, you might also consider leaving a note on your new hire.
