A company I looked at recently had 40 blog posts on their site. Every single one started with something like “effective marketing is essential for growth.” They ranked for almost nothing. When I asked ChatGPT about their industry, it didn’t reference them once. Not because their advice was wrong. Because their advice was indistinguishable from everyone else’s.
This is the new invisibility problem. It used to be that generic content just ranked poorly. Now it gets skipped entirely. AI tools like ChatGPT, Gemini, and Perplexity pull from content that says something specific. If your content reads like it could belong to any company in any industry, LLMs have no reason to surface it. They’ll find someone who actually committed to a clear point.
LLM optimization sounds technical. It isn’t. It’s about writing like you actually mean what you’re saying. Being specific about what you know, who you help, and what you’ve seen work. The businesses earning AI citations aren’t doing anything exotic. They’re just being precise while everyone else hedges.
Why AI Search Rewards the Specific and Ignores the Rest
Picture two accountants writing about tax planning for small businesses. One writes: “Tax planning is an important consideration for businesses of all sizes.” The other writes: “S-corps with $400K to $800K in revenue typically overpay by $15K to $30K because they set their owner salary too high.” Which one does an LLM cite when someone asks about small business tax strategy?
The second one. Every time. Because LLMs extract information that answers questions directly. They need specific numbers, defined audiences, and clear claims. Vague content doesn’t give them anything to work with. It’s the equivalent of a job candidate answering every interview question with “I’m a hard worker.” Technically true. Completely useless.
This matters for your content strategy more than most people realize. Google’s own documentation says AI Overviews use the same quality signals as traditional search. But there’s a practical difference in how that plays out. Traditional search could surface your page because it matched keywords well enough. AI search needs to extract a citable claim. If your content doesn’t contain one, you’re invisible regardless of your domain authority.
The pattern holds across industries. Companies with specific content get referenced. Companies with generic content don’t. Your marketing strategy needs to account for this shift, because the rules of visibility have changed.
What Specificity Actually Looks Like in Practice
A SaaS company I reviewed had a blog post titled “Why Customer Onboarding Matters.” The post explained, in about 800 words, that onboarding is important and companies should invest in it. Zero data. Zero timeframes. Zero examples from their own work. It got roughly 12 organic visits per month.
We reworked the angle. The new version opened with: “Companies that complete onboarding in under 14 days see 2x the 90-day retention rate of those that take 30 or more.” Same topic. Completely different value to both readers and AI systems.
Specificity isn’t about cramming in statistics for the sake of it. It’s about choosing a clear position and supporting it with evidence. That means naming your audience instead of writing for “businesses of all sizes.” It means stating what you’ve actually observed instead of repeating conventional wisdom. It means committing to a recommendation rather than listing five options and telling readers to “choose what works best.”
This is where brand positioning and LLM optimization overlap. Your brand positioning is supposed to answer who you help, with what, and why you’re the one to do it. If your content doesn’t reflect those answers in concrete terms, AI search can’t figure out what you’re an authority on. Neither can your potential clients. Vagueness doesn’t just hurt your rankings. It makes your entire brand harder to understand.
How to Write Content That LLMs Actually Want to Cite
A manufacturing consultant I know used to open every post with broad statements about “operational efficiency.” His content read like a textbook introduction. When he switched to leading with specific observations from his client work (things like “most shops under $5M still run scheduling on spreadsheets, and it costs them 8 to 12 hours a week”), his organic traffic nearly doubled in four months.
The shift wasn’t complicated. He started writing about what he actually knew instead of what sounded professional. Here’s what that looks like as a writing approach.
First, answer a question in your opening sentences. Don’t set up the topic. Don’t provide context. State the answer, then explain why. LLMs scan for direct answers to questions. If your answer is buried in paragraph four, it might as well not exist.
Second, include numbers and ranges wherever you honestly can. “Most businesses” is weak. “Businesses between $500K and $2M in revenue” is strong. “Improvement” is forgettable. “A 30% reduction in wasted ad spend” is citable. You don’t need to fabricate precision. Round numbers and honest ranges work fine.
Third, name the limits of your advice. Say who this applies to and who it doesn’t. “This works for service businesses with 5 to 20 employees” is more useful than “this can help any business.” Constraints make content more credible, not less. LLMs and human readers both trust content more when it acknowledges boundaries.
Your content strategy should treat specificity as a requirement, not a nice-to-have. Every post should contain at least one claim specific enough that an AI system could extract it as a standalone answer.
Vagueness Is a Choice You Can Stop Making
The businesses showing up in AI-generated answers aren’t running special technical playbooks for LLM optimization. They’re writing clearly about what they know. They’re naming their audience. They’re stating what they’ve seen work, with enough detail that both humans and machines can actually use it.
If your content could swap your company name for a competitor’s and still make sense, that’s the problem. Specificity is what makes content yours. It’s also what makes it findable in a world where AI is doing more of the searching.
Take a look at your last five blog posts or service pages. Count how many contain a specific number, a named audience, or a clear recommendation. If the answer is zero, you’ve found the issue. If you’d like a second set of eyes on where your content is too vague to earn placement, request a clarity and specificity edit from Lantern Row. We’ll show you exactly where the gaps are.