Large language models like ChatGPT, Gemini, and Perplexity do not cite everything they read. They extract and repeat content that makes confident, verifiable claims in plain, direct language. B2B copy written in passive voice or buried under hedging qualifiers fails this test, not because LLMs penalise it stylistically, but because passive constructions obscure the subject, dilute the claim, and make the sentence harder to lift as a standalone fact. Active, direct writing does the opposite: it produces quotable sentences with a clear subject, a clear action, and a clear takeaway.

TL;DR

• LLMs prioritise content that makes clear, attributable claims - passive voice hides the subject and weakens attribution.

• Hedged B2B copy ("it may be argued that...") signals low confidence to both AI models and human readers.

• Active, declarative sentences are structurally easier for AI to extract and repurpose as cited answers.

• Passive voice is not always wrong, but in B2B marketing copy it is almost always the wrong default.

• Rewriting for directness is one of the fastest ways to improve how often AI cites your brand.

About the Author: Simaia is an agentic marketing team specialising in AI search visibility for B2B companies across APAC. The team runs end-to-end content strategy and execution built specifically to get brands cited by ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview.

What Is Passive Voice and Why Does It Weaken a Claim?

Passive voice is a grammatical construction where the subject of the sentence receives the action rather than performs it [visiblethread.com]. The classic test: if you can add "by zombies" after the verb and the sentence still makes grammatical sense, it is passive [scribemedia.com].

• Active: "Buyers now search for B2B vendors on ChatGPT."

• Passive: "B2B vendors are now being searched for on ChatGPT."

The information is the same. The extractability is not. A passive sentence buries the actor, creates ambiguity about who is responsible for what, and reduces the sentence's authority [hamilton.edu]. In legal writing, this ambiguity has real consequences - passive constructions have been cited as a source of interpretive confusion in contracts because they obscure who bears an obligation [digitalcommons.du.edu]. The same problem appears in marketing copy, just with a different cost: the content gets skipped by AI models looking for attributable, citable claims.

Why Do LLMs Prefer Active, Direct-Claim Writing?

Building on the structural problem above, the harder question is why this matters specifically for AI citation. LLMs are trained to extract answers that are confident, specific, and attributable. Passive voice undermines all three.

When a model reads "it has been found that buyers are increasingly using AI search," there is no named subject, no named finder, and no precise claim to extract. When it reads "Buyers in B2B markets now use ChatGPT as a primary vendor discovery tool," it has a subject, a behaviour, and a context it can cite [detaildevil.net.au].

Key reasons active writing gets extracted more often:

• Attribution clarity. AI models prefer claims they can attach to a named source. Active sentences make the source visible.

• Sentence self-sufficiency. Active, declarative sentences carry their full meaning without surrounding context. Passive constructions often depend on surrounding paragraphs to complete their meaning [visiblethread.com].

• Confidence signalling. Hedged language ("it may be suggested that...") tells a model the claim is uncertain. Direct claims tell a model the content has authority [detaildevil.net.au].

What Does Passive Voice Actually Look Like in B2B Copy?

A related but distinct question is how passive voice appears in practice, because it rarely announces itself. Most B2B writers do not realise they are using it.

Common passive patterns in B2B marketing content:

The passive versions are not wrong. They are just weaker as standalone claims. An LLM scanning for citable facts will extract the active version every time.

Passive voice also tends to invite what writing researchers call "nominalisation" - converting verbs into abstract nouns [sites.duke.edu]. "We decided" becomes "a decision was made." "We grew revenue" becomes "revenue growth was achieved." Each conversion removes an actor and adds vagueness, compounding the original problem.

When Is Passive Voice Acceptable in B2B Writing?

Passive voice is not always wrong, and intellectual honesty requires saying so [detaildevil.net.au]. There are legitimate uses, even in marketing and thought leadership content.

Use passive voice when:

• The actor is genuinely unknown or irrelevant ("the invoice was sent last Tuesday" when the sender does not matter).

• You are writing scientific or technical documentation where method matters more than who performed it [sites.duke.edu].

• You want to soften a critical statement to maintain a professional tone ("the error was flagged during review" rather than "you made an error").

The problem is not passive voice existing. The problem is passive voice as a default in B2B copy - a habit that produces content that sounds authoritative but makes no attributable claim.

How Do You Rewrite B2B Copy to Be More Citable?

The fix is mechanical, not creative. Stepping back from the theoretical argument, here is a practical process:

1. Identify the actor. Every sentence needs a subject doing something. If you cannot name one, you are probably in passive territory.

2. Move the actor to the front. "Results are delivered by our team" becomes "Our team delivers results."

3. Replace nominalisations with verbs. "The implementation of the solution" becomes "implementing the solution."

4. Cut hedging qualifiers. Words like "potentially," "arguably," and "it could be said that" signal low confidence. Remove them or replace with a direct claim.

5. Test for self-sufficiency. Read the sentence in isolation. Does it make a complete, attributable claim? If not, rewrite it.

Frequently Asked Questions

Does passive voice directly cause lower AI citation rates?
Not in a mechanical, algorithmic way. But passive voice produces the structural conditions - buried actors, incomplete claims, low confidence signals - that make content less likely to be extracted and repeated by LLMs.

Is hedging always bad in B2B writing?
No. Hedging is appropriate when genuine uncertainty exists. The problem is habitual hedging applied to claims you actually believe and can support.

Does this apply to blog posts, white papers, or both?
Both, but blog posts formatted for LLM extraction benefit most immediately because they are typically the content LLMs index and cite in response to conversational queries.

Will rewriting in active voice improve Google rankings too?
Indirectly. Active, direct writing reduces bounce rate and improves readability scores, both of which influence organic performance. The primary gain here is AI citation, but the two are not in conflict.

How quickly can rewriting copy improve AI visibility?
Visibility changes depend on many factors, but content quality is one of the fastest levers because it affects extractability from the moment the content is indexed.

Can a company fix this without a dedicated writer?
Yes, with a clear editing checklist and disciplined review. However, companies without in-house writing capacity tend to see faster results by outsourcing to a team already building for AI citation norms.

Is this just SEO under a different name?
No. Traditional SEO optimises for keyword matching and link signals. Writing for AI citation optimises for claim clarity, structural extractability, and platform-specific placement - a meaningfully different discipline.

About Simaia

Simaia is an agentic marketing team that replaces the in-house marketing function for B2B companies across APAC, handling strategy, content, distribution, and lead capture end-to-end. The team specialises in getting brands cited by ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview, and has grown a healthcare SaaS client's AI search visibility from 0% to 45% of its niche in under three months. For a global textile manufacturer, Simaia grew inbound leads from one every two months to five per month within two months. Writing that gets cited is the foundation of everything Simaia builds.

If you want to know where your brand appears (and where it does not) across the major AI models, visit Simaia to start with an AI search audit.