Question 1

Can B2B buyers really detect AI-generated copy?

Accepted Answer

Yes, and the evidence is no longer anecdotal. TrustRadius (2025, n=2,058 verified buyers) reports that 62% of frequent AI users always or very often fact-check the marketing content they read. Forrester's 2026 B2B Predictions show 19% of buyers exposed to genAI in their decision process felt less confident about their final purchase because of unreliable AI output. The pattern-recognition curve in cold outbound is now under three seconds. Buyers do not need to articulate why a piece of copy reads as AI. They down-weight the source and move on.

Question 2

Is AI-as-editor the same risk as AI-as-author?

Accepted Answer

No, and the distinction is the most important operational rule in this guide. Kirk and Givi (JBR Vol. 186, 2025) explicitly carve out that the trust loss is attenuated when AI only edits a communication rather than authors it. The defensible workflow is to write the first draft as a human, use AI to tighten, condense and pressure-test, and then ship under a named byline. The damaging workflow is to ask the model for a draft, lightly skim, and publish.

Question 3

Does this apply to factual product copy and documentation?

Accepted Answer

Largely no. The Kirk and Givi finding is also explicitly attenuated for factual messages, including pricing pages, technical specifications and comparison tables. Spec sheets, changelogs and API documentation can be AI-assisted heavily without measurable trust loss. The exposed surface is emotional and brand content: founder posts, About pages, customer stories, cold outbound, newsletters and LinkedIn.

Question 4

What is the single highest-leverage edit a marketing team can make this week?

Accepted Answer

Build a banned-word file inside the brand voice guide, add the Originality.ai short list (delve, tapestry, multifaceted, leverage, robust, seamless, harness, unlock, in today's fast-paced world, it's worth noting), and forbid them in any AI-assisted draft without explicit override. Co-occurrence is the signal. Three banned words inside a 500-word passage raises AI-detection probability by 35 to 50 percentage points across modern classifiers. The cost of this change is one document and one editorial rule.

Question 5

How do I audit my team's existing content without rewriting it all?

Accepted Answer

Run the 10-point AI tell audit against a representative sample of the last quarter's published content. Score each piece on banned-word density, structural ticks (it's not just X, it's Y), em-dash density, burstiness, opener and closer formula, claim specificity, named human presence, real numbers, stated point of view and byline accountability. Anything scoring under 6 out of 10 goes into a rewrite queue. Anything under 3 should be unpublished or noindexed.

Question 6

Which channels demand the most human attention?

Accepted Answer

In order: cold outbound, founder and CEO LinkedIn, customer stories, About pages and newsletters. These are the surfaces where AI-as-author causes the most measurable trust loss. The channels where AI-as-editor is safest are technical documentation, changelogs, pricing pages, transactional emails and paid-ad creative variants.

Question 7

Does Google actually penalize AI content?

Accepted Answer

Google penalizes AI slop, not AI assistance. The 2023 Search Central guidance, restated through the March 2024 and March 2026 core updates, rewards original, high-quality content that demonstrates E-E-A-T (expertise, experience, authoritativeness, trustworthiness) and de-ranks thin, scaled, undifferentiated content regardless of whether it was written by a human or a model. Sites with named authors, original research and demonstrated experience gained ground in both updates. Sites publishing programmatic AI SEO content lost majorities of indexed pages.

Question 8

What KPIs prove the trust gap is closing?

Accepted Answer

Five leading indicators. Branded search volume on the company name and the founder name (rising). Reply rates on cold outbound (rising toward and through the 5.5% top-quartile threshold). Comment-to-impression ratio on LinkedIn personal posts (rising). Inbound demo requests citing a specific article or post (rising). And, on the lagging side, win rate against incumbents in deals where the buyer cited reading something the marketing team published (rising).

The Word 'Delve' Is Costing You Deals: Why B2B Buyers Already Know Your Marketing Is AI Slop

Key takeaways