AI-written blog for B2B SEO: Google tolerates it, the technical buyer notices

Google does not penalize a blog simply because it was written by AI. Its published guidance targets something else: pages produced in bulk that give the reader nothing. For an industrial firm, the main risk is therefore not the search engine. It is the engineer or buyer at a prime contractor who reads the article, recognizes text that did not come from your plant, and draws a conclusion about the rest of your company.

This page answers one narrow question: should a manufacturer or distributor fill its blog with generated articles for SEO. It does not cover video or the leader's own posts. The broader logic of long-cycle content is on the B2B marketing page.

What Google actually says about generated content

Google's current guidance page on generative AI content, last updated on 10 December 2025, does not treat the tool as the problem. It says generative AI can be particularly useful for researching a topic and for adding structure to original content, with one important qualification.

That qualification fits in a sentence. Using generative AI tools to produce many pages without adding value for users may violate Google's spam policy on scaled content abuse. The spam policy page, last updated on 28 August 2026, defines that abuse as many pages generated mainly to manipulate rankings rather than to help people.

The same guidance asks publishers to focus on accuracy, quality and relevance, especially when content is generated automatically. Google's page on helpful content then asks three questions of any publisher: who created the content, how, and why. Among them: "Do pages carry a byline, where one might be expected?" It also notes that disclosing automation is useful where a reader might wonder how a piece was created.

In other words, Google is not asking which tool you opened. It is asking whether the page helps anyone. That is exactly what your buyer is asking, with far less patience.

Why a technical buyer can tell

Take, as an illustration, a conveyor manufacturer in the Beauce region. Its web supplier offers four articles a month, generated from keywords. The first is titled "Five benefits of automation for your plant." It is clean, well structured, free of typos. It could run unchanged on any competitor's site, in Québec or in Ontario.

That is precisely the problem. A maintenance manager at a food processing plant in Montérégie reads it while looking for a supplier. He is not looking for five benefits. He is looking for proof that this manufacturer has already solved a problem like his.

The signs he recognizes

• No number that commits to anything. No load rating, no speed, no dimension. Text generated without plant data cannot invent figures safely, so it stays vague.
• Nothing refused. A real manufacturer knows what it does not do. A generic article promises everything to everyone.
• No project. No client, no site constraint, no problem solved. Only statements that are true everywhere.
• Vocabulary slightly off. Terms from another market, inconsistent units, a standard cited loosely. An engineer spots it on the first read.

The worst case is not the bland article. It is the article that confidently states something false about your own trade: a tolerance your shop does not hold, a certification you do not have. The buyer will not check the rest. He will drop you from his list, and you will never know.

The judgment spills beyond the blog. A buyer who spots generic text assumes the rest of the site may be generic too. What he was actually looking for on your site is covered in what a manufacturer website must contain. A generic blog replaces none of it, and can discredit all of it.

An asset whose ownership is unsettled

There is a second, quieter cost. According to the federal government's consultation paper on copyright and generative AI, Canadian case law ties authorship to a natural person who exercises skill and judgment. The paper considers that test far less likely to be met by work a generative system produces from short instructions. It adds that a person can contribute enough skill and judgment to AI-assisted work to be its author. This is a consultation paper, not a law, and the question remains open. But a fully generated blog is an asset you cannot say with certainty that you own.

Where the tool costs nothing, and what to demand

To be fair, the tool has its place. Transcribing an interview with a plant manager, proposing an outline from your notes, fixing spelling, summarizing a long technical report your engineer wrote. In each case, the facts, the examples and the opinion come from the company. The machine only handles form, and someone who knows the trade reads it before it goes out.

The line is simple. The substance of an article has to come from someone who has been on the floor. If nobody at your company was interviewed, the article says nothing your buyer does not already know. It is the same conviction behind the "Certified Human Content" badge on our studio's homepage: AI generates content, it does not generate trust.

If a supplier offers you a blog, here is what to ask and what answers to expect:

• Where the material for each article comes from. The right answer names a person at your company: the estimator, the production manager, the project lead. The wrong answer is a keyword list.
• Who at your company approves each technical fact. A figure published under your name commits your company, not the supplier.
• Whose name is on the article. Google asks whether a byline appears where one is expected. For a technical article, it is the name of the person who knows.
• Why that volume. A promise of dozens of articles a month, with no interviews, describes exactly what Google calls scaled content abuse.
• How the use of tools is disclosed. Google considers disclosure useful where a reader might wonder how the text was made. A supplier with no answer has not thought about it.

The answer that should end the conversation: a high, guaranteed volume, with not a single person from your plant consulted.

When this page does not apply

Three situations where this reasoning carries less weight.

First, product pages for a distributor carrying thousands of items. Descriptions produced from your own verified technical data, then reviewed, are information, not a blog. Google's question is the same, value to the user, but the reader is not looking for a voice there.

Second, a company that sells almost entirely through public tenders or a distributor network, whose buyers never read the blog. For that company, the real question is not who writes it, but whether it needs a blog at all.

Third, a company with nothing to say every month. That is common, and it is not a failing. Four articles a year drawn from real projects are worth more than forty generic ones. A blog that publishes rarely costs your credibility nothing. A blog that publishes filler does.

Sources

• Google Search Central, "Google Search's guidance on using generative AI content on your website," last updated 10 December 2025, developers.google.com/search/docs/fundamentals/using-gen-ai-content, fetched 30 September 2026.
• Google Search Central, "Spam policies for Google web search," last updated 28 August 2026, developers.google.com/search/docs/essentials/spam-policies, fetched 30 September 2026.
• Google Search Central, "Creating helpful, reliable, people-first content," last updated 10 December 2025, developers.google.com/search/docs/fundamentals/creating-helpful-content, fetched 30 September 2026.
• Innovation, Science and Economic Development Canada, "Consultation paper: Consultation on Copyright in the Age of Generative Artificial Intelligence," ised-isde.canada.ca, fetched 30 September 2026.