Your Green Claim Is Borrowing Someone Else’s Evidence

AI search can make your sustainability story easier to find. It might also make the people checking that story harder to find.

Imagine a company announces that its new packaging is 40% more sustainable.

Lovely.

But 40% more sustainable than what?

Does it use less plastic? Produce fewer emissions? Require less water? And who checked the numbers?

These are the questions that separate an environmental claim from a marketing slogan.

Traditionally, the answers might come from independent research, specialist journalists, certification bodies, scientific studies or industry analysts.

Increasingly, they'll come from an AI-generated answer.

Which creates an interesting problem.

The AI might explain the claim perfectly.

But what happens to the people who did the work that made the explanation possible?

The internet has a new middleman

Google and other AI search systems are changing how people encounter information.

Instead of presenting ten links and leaving you to investigate, they increasingly assemble an answer.

Convenient.

Especially when you're trying to understand something complicated.

But convenience has consequences.

A Pew Research Center study found that Google users were less likely to click through to websites when an AI summary appeared.

Google has been developing more visible links and source information in its AI search experiences.

That's useful.

But showing a source isn't the same as sending it an audience.

And for specialist publishers, researchers and independent information providers, that distinction matters.

Your sustainability story doesn't exist in isolation

I spent years working on sustainability and environmental communications, and one thing becomes clear quite quickly.

A company's claim is rarely credible simply because the company says it's true.

It gains credibility from the information surrounding it.

Scientific research. Independent assessments. Reporting standards. Journalists asking inconvenient questions.

Sometimes that evidence supports the company.

Sometimes it exposes a problem.

Both outcomes matter.

Consider a brand claiming its product is recyclable.

The interesting question isn't whether the packaging carries a recycling symbol.

It's whether the material can actually be collected, sorted and processed in the markets where the product is sold.

That answer might depend on local infrastructure, specialist research and reporting that the brand didn't commission.

Check it. 👇

AI can bring all that information together into a beautifully written paragraph.

But if people stop visiting the organisations producing the evidence, the system risks weakening the very sources that make its answers useful.

The answer gets easier to access.

The evidence becomes harder to sustain.

That's the contradiction.

Visibility isn't credibility

Communications teams are understandably becoming interested in how their organisations appear in AI-generated answers.

Are we mentioned?

Are our products recommended?

Does the model understand our sustainability commitments?

These are reasonable questions.

But they're incomplete.

Imagine an AI answer repeats your environmental claim, cites your own corporate website and ignores three independent reports that challenge your methodology.

Your brand might be highly visible.

That doesn't mean the answer is particularly trustworthy.

And it certainly doesn't mean your communications strategy is working.

The real test isn't whether AI repeats your sustainability claim. It's whether the evidence survives the journey into the answer.

This is why the debate around AI search matters beyond SEO.

It's becoming a question of information quality, economic incentives and trust.

Companies such as Cloudflare are experimenting with ways to compensate publishers for automated content access.

The commercial models are still evolving.

But the underlying question is straightforward.

If AI systems depend on independent information, how do we ensure that information continues to exist?

What communications teams should do differently

I wouldn't suggest abandoning AI search optimisation.

That would be rather like refusing to build a website because you preferred the telephone directory.

But I would change what we optimise for.

First, make environmental claims traceable. Link them to methodologies, underlying data and independent verification where available.

Second, make the evidence accessible. A beautifully designed sustainability PDF is less useful if nobody, human or machine, can locate the actual figures.

Third, look beyond brand mentions. Check whether AI answers preserve important qualifications, cite credible sources and distinguish your claims from independently established facts.

And finally, support the information ecosystem your credibility depends on.

That includes serious specialist media, researchers, standards organisations and independent scrutiny.

Not just the people willing to amplify your message.

The inconvenient part of trust

There's a temptation in communications to treat credibility as something we build through better messaging.

Sometimes it is.

But the strongest evidence often comes from people we don't control.

People who might disagree with us.

People who ask difficult questions.

People whose work can make our sustainability claims more credible precisely because they aren't part of our marketing department.

AI search is changing how that work reaches audiences.

We should be paying attention.

Because a future where every company has a perfectly optimised sustainability answer, but fewer independent organisations capable of checking it, isn't progress.

It's just a more efficient way of believing the wrong thing.