AI answers are the new search results: what CMOs should do

Type a question into Google today and an AI summary often answers it above the links. Ask ChatGPT or Claude and there are no links at all, only an answer with a few names in it. For a growing share of buyers, that answer is the search result. The blue links underneath, if they look at all, come second.

For a marketing leader, this moves where buying decisions get made. Here is what changed and what to do about it.

What changed for buyers?

Search used to hand the buyer ten links and let them choose. The buyer did the synthesis. Now the engine does it. It reads the sources, forms a view, and returns a short recommendation. The buyer reads two or three names and moves on. Fewer people scroll a list of links to compare for themselves.

That compresses the funnel. A buyer can go from question to shortlist without visiting a single vendor site. If your brand is not in the answer, you are not on the shortlist, and you may never learn you were considered.

What does this change for marketing?

Three things move. First, the unit of visibility shifts from a ranked page to a sentence inside an answer. Second, accuracy becomes a growth lever, because the engine can describe you wrongly to thousands of buyers at once. Third, reporting has to speed up, because an answer can change between quarters with no change on your site.

None of this retires SEO. The same crawlable, authoritative content still feeds the models. What changes is the target you optimize for and the cadence you watch it at.

Five moves for CMOs

1. Find out what the engines say now. Ask ChatGPT, Claude, and Google the questions your buyers ask, and read the answers before you plan anything. Most teams are surprised.
2. Fix wrong facts first. A stale price or a dropped feature in an answer costs deals immediately. Trace the source and correct it. This is the fastest win available.
3. Write answer-shaped content. Lead pages with a plain, quotable statement of what you do and who you serve. Give the model clean material to lift.
4. Invest in corroboration. Reviews, comparisons, and coverage tell the model your claims are backed. One accurate third-party page can do more than a homepage rewrite.
5. Watch it weekly. Put the monitoring on a schedule, not a quarterly audit. Answers drift, and you want to catch a drop the week it happens.

What should you measure?

Track presence and share of voice: across your buyers' questions, how often each engine names you versus each rival. Track accuracy too, because a mention that describes you wrongly is a liability, not a win. The method is in how to measure share of voice in AI answers. For the mechanics of earning mentions in the first place, see what generative engine optimization is.

Which queries change the most?

The shift does not hit every search the same way. Knowing which of your queries the engines now answer directly tells you where to look first.

Three kinds of question are most exposed. Informational queries, the how and why and what-is searches, get answered in the summary before a buyer clicks anything. Comparison queries, where someone weighs two options, are prime territory for a synthesized recommendation. And recommendation queries, the best-tool-for and alternatives-to searches, return a shortlist of names that decides who makes the buyer's list.

Navigational and transactional searches move less. Someone who types your brand name wants your site, and someone ready to buy still clicks through to do it. The middle of the funnel, where a buyer is learning and comparing, is where the answer now sits between you and them.

Map your own queries to these types. The informational, comparison, and recommendation questions in your category are the ones to monitor and shape, because they are where a buyer forms a view before you get a say.

How do you run the first audit?

You can run the first pass in an afternoon. List the ten questions your best buyers ask before they buy, put each to ChatGPT, Claude, and Google, and paste the answers into one document. Mark where you appear, where a rival appears in your place, and any claim about you that is wrong. That single document usually reframes the quarter, because it shows the market the way a buyer meets it rather than the way your dashboards report it.

Turn the wrong claims into your first work order. An engine repeating an old price or a retired feature is costing you deals now, and correcting the source it read is faster and cheaper than any campaign. Fix those, then work on the answers where a competitor stands in for you.

Watching four engines across dozens of questions every week is more than a person can keep up by hand. That is the job Programmatic CMO hands to a specialist, alongside your paid, SEO, and PR channels. If you are weighing how much of this to give to software, read what AI marketing agents are.