By Scott Sumner | AI Findability | Published September 25, 2026

A buyer compares two price tags attached to different boxes, one with extra tools and support. Same price, different purchase.

AI price comparisons put your offer beside alternatives before a buyer talks to you. Make the price, scope and conditions clear enough that the comparison means something.

Answer: Prepare for AI price comparisons by publishing the amount, billing period, included work, exclusions and eligibility together. Keep those details consistent across your website and sales materials. Clear information helps comparison; it does not guarantee an AI recommendation.

A new consumer survey gives this an immediate business reason. But the useful response is not to slash your prices or assume every buyer now uses ChatGPT. It is to explain what your price actually buys.

Jump ahead

What the new survey actually found

On September 23, 2026, Akeneo published findings from a survey it commissioned from Dynata. The research covered 1,000 U.S. consumers aged 18 and older, surveyed in August 2026.

In the company’s release, 24% said they already use tools such as ChatGPT or Google Gemini to compare prices or deals. Separately, 56% said they trust AI tools to provide accurate pricing information when comparing products across retailers.

Those are different measures. Trust is not use, and neither is a test of whether an AI tool returned the correct price.

This is vendor-commissioned consumer research, not a study of business procurement or service-agency buyers. It does not establish that one in four of your prospects uses AI to choose a consultant. Akeneo sells product information and pricing technology, so its commercial interest belongs in the interpretation too.

My take for service businesses is narrower: your offer should survive being compared outside the sales conversation. That was useful before AI. These reported shopping habits give retailers a fresh reason to check it, and service firms a useful question to ask about their own websites.

A lower number is not always a comparable offer

Imagine two fictional website support plans. Both advertise $150 per month. One includes hosting and routine software updates. The other includes those items plus a defined allowance for content edits.

They have the same sticker price. They are not the same offer.

If the second business keeps its editing allowance buried in an old proposal, the public page gives a buyer little reason to notice the difference. An AI comparison may also miss it. That is a risk to test, not a claim about how every model behaves.

The opposite problem matters just as much. A page that says “support included” without defining support can invite a buyer to assume far more than you intended. Making an offer easy to compare means making the limits visible too.

I would not try to fix this with more glowing adjectives. “Premium service” does not tell a buyer whether a broken checkout gets attention on Saturday.

What to put beside the price

For a fixed package, keep its basic commercial facts together. A buyer should not have to reconcile three pages and a downloadable brochure.

  • Amount and billing basis: State the currency, whether the fee is one-time or recurring, and any commitment that changes the advertised rate.
  • Included work: Name the deliverables or the allowance. If edits are included, explain what counts as an edit.
  • Meaningful exclusions: Identify likely misunderstandings, such as paid software licenses, new page design or emergency work.
  • Conditions: Explain who qualifies, what a starting price assumes and which requirements change the quote.
  • Next step: Tell the buyer how to confirm fit and get an accurate price for their situation.

Then compare that explanation with your proposal template, sales deck and any public directory listing you control. Different channels can have different offers. The difference needs an explanation, not a mystery.

There is an established technical version of this principle in retail. Google Merchant Center’s price requirements call for the submitted amount and currency to match the landing page and checkout, for variants and prices to be displayed clearly, and for prices to stay current.

Those are requirements for Merchant Center product listings, not a universal rule for all service websites or AI answers. They are still a useful example of why the offer needs to remain coherent as information moves between systems.

What if every project needs a quote?

You do not need to invent a fixed price for work that genuinely varies. “Contact us” can be an honest next step. It should not be the entire explanation.

Describe the factors that shape the quote. For a website project, those might include the amount of content, migration requirements, integrations and who prepares the copy. State the minimum scope you can sensibly take on if you have one.

If you publish a range or a starting price, explain its assumptions nearby. A bare “from” price invites a comparison with the entry point while the buyer may need a much larger job.

Use a clearly labeled example project when it helps. Do not present a hypothetical price as a completed client engagement. And do not turn an old quote into a public promise without checking that you would still honor the scope behind it.

Good AI Findability is partly about making the business understandable. A machine-readable page cannot rescue an offer that leaves a human guessing.

Test the comparison a buyer might make

Start with one live offer, not a rewrite of the whole website. Give an AI tool the public page and ask it to describe the offer without filling any gaps.

Using only the information on this page, explain the price, billing period, included work, exclusions and qualification conditions. Cite the exact wording for each. Mark anything missing as “not stated.” Do not infer that support, setup, licenses or ongoing work are included. Finish with the questions a buyer would need answered before comparing this with another offer.

Check the answer against the page yourself. If the tool cannot access the page, do not treat the output as a website test. Pasting the text can test the wording, but it does not test whether an external service can retrieve it.

Next, compare equivalent scope with an alternative. Keep “not stated” separate from “not included.” An omission is a question to investigate, not permission to invent a competitor’s weakness.

Record where your own explanation was incomplete or ambiguous. Fix that wording at the source. Repeating the test can help find improvements, but one good AI answer does not prove every buyer or every tool will see the same comparison.

Help the buyer understand the difference

The goal is not to make every offer look identical or make price the only decision. It is to give your real differences a fair chance of being understood.

A cheaper plan might genuinely be the right choice. Your job is to make the trade-off visible, so a buyer knows what they are choosing rather than discovering the missing piece after signing.

Start here: Open the service page your sales team sends most often. Can someone tell what the advertised price includes without a phone call? If not, fix that explanation first.

If your offer is clear internally but hard to understand across the website, the Findability OS Audit is the route to diagnosing the wider visibility and clarity gaps. You can also contact Sumner Digital to discuss the site.

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