Reviewing Generative AI Content So It Is Useful, Not Generic

How to review generative AI content so it is useful and not generic: start by checking whether the draft says anything only your business could say. I'm Marven Salgado, and I review a lot of AI-written pages for small businesses around Mascouche and Greater Montréal. Most drafts sound fine on the surface, then fall apart the moment you check a price, an address or a service area.

How to review generative AI content so it is useful and not generic: why drafts end up generic

Generic AI content is text with smooth sentences and safe claims but no real detail about your shop, your customers or your neighbourhood. A business owner asks ChatGPT, Gemini or Claude to write a blog post, a Google Business Profile post or a Meta ad, and the tool draws on patterns it has seen countless times.

These tools predict the most likely next words. They don't know true facts about your business, so they fill the gaps with the most average phrasing available. What you get is a draft. Publish it as is and it reads like every other draft the tool produces for anyone in your industry, which is why the review matters before anything goes live.

Briefing the AI tool with what only your business knows

Briefing the AI tool well means gathering what is actually true about your business before you type a single prompt. I ask clients for their real pricing, service area and guarantees, and for the words customers use when they call or email. I also pull a few past jobs or orders with the details intact, because those small facts make a draft sound like you and not like a generic shop down the street.

Two more things belong in the brief: who the reader is, and the one job the page has to do. A page that tries to sell, explain and reassure all at once usually does none of them.

Inputs worth collecting before you prompt

Inputs matter more than the wording of the prompt itself. I pull facts from past emails, service pages and conversations with the owner. Every time, I collect:

• actual customer questions taken from emails or calls
• pricing details, service areas and turnaround times
• examples the business can back up
• the words customers use to describe the problem they need solved

A word of caution under Loi 25: don't paste customer names, e-mails or other personal information into an AI tool. Strip identifying details from those questions and examples first.

With these inputs, the tool has something real to work with and doesn't have to guess at small business language that fits nobody in particular. If you'd rather hand this part off, our SEO content writing service starts from the same groundwork.

The review pass: turning a draft into a useful page

The review pass is where you cut the generic parts and confirm every fact. Start with the competitor-paste test, then check each claim against your own pages and records. Along the way, delete filler openings ("In today's world…") and vague claims like "top quality service" that nobody can verify.

The competitor-paste test

The competitor-paste test asks one question: could a competitor paste this draft onto their own site with nothing looking out of place? If so, you haven't written a useful page yet. I run it on every piece, because drafts default to safe, swappable claims instead of specifics only your business can say.

Look for:

• your city, neighbourhood or service area named directly, not just "the local area"
• a real detail about how you work, like your process or your tools
• something only a person with hands-on experience would know
• a specific example tied to your business, not a general outcome

If you can't fill in those blanks, the page still belongs to anyone.

Fact-checking against your own pages and records

Fact-checking matters because passing the competitor-paste test only proves the content sounds like you. It doesn't prove it's true. AI tools write confidently even when they're wrong, so I open the site and files side by side with the draft and compare each detail:

Claim in draft	Where I check it	What I fix
Service area	Google Business Profile	Remove unlisted cities
Pricing mention	Price sheet	Correct outdated numbers
Hours listed	Website footer	Match current hours
Certifications	Client contracts	Delete unverified claims
Years in business	Incorporation date	Update the math

This step catches small errors before customers do.

French-language review under Loi 96 and Québec usage

French-language review is a separate pass, and since Loi 96 tightened the rules on French in commercial communication, I won't publish a draft in Québec without it. I'm checking more than grammar. AI tools often produce stiff French that reads like a translation, not like the way people talk here. I read everything out loud and ask whether a Québec reader would find it natural.

I check for:

• anglicisms that don't fit everyday Québec French
• verb tenses and a level of formality that match the business's tone
• proper accents and punctuation spacing
• local terms in place of France-French phrasing

Compliance is part of it, but local readers also notice when content feels foreign or careless, and that costs trust.

Search engines and AI answer tools: what specific content changes

Search engines and AI answer tools favour pages that are specific and easy to verify. Google looks for clear headings, direct answers near the top and facts that match what is already trusted online. Tools like ChatGPT, Gemini and Google AI Overviews pull short chunks, so I rewrite key sentences to stand alone and answer one question clearly.

I also check that names, addresses and service details match the website and the Google Business Profile, because mismatches confuse these systems. Then I ask a few questions myself in those tools to see what they pull, and adjust the wording. Our found on Google, cited by AI system covers this in more depth, and the AI visibility check shows how your business currently appears in AI answers. None of this guarantees a ranking or a citation; it makes your page a better candidate.

Pre-publish checklist and who signs off

A pre-publish checklist and a named approver keep generic or wrong content from slipping through. A quick read-through isn't a process. Before anything goes live, I confirm:

• accuracy: every claim matches a source I trust
• voice: it sounds like the client, not like filler
• local details: addresses, hours and service areas are right
• French: the version reads as native Québec French
• call to action: the reader knows what to do next

For sign-off, I never publish alone. The client reads it too, since they know their business better than any AI tool does, and a second reader catches mistakes the first one misses. AI writes the first draft; you and your client confirm the facts.