Pete Blackshaw’s forthcoming book, The Answer Economy, has Steve and David asking an uncomfortable question: when AI tools do our searching for us, are we still thinking, or just nodding along.

Steve and David dig into why Google’s AI overview might be quietly shrinking our critical faculties, and why that matters more than it sounds.

They also test which AI tools can be trusted to give it to us straight, and which ones might be leaning on who is paying the bills.

Small business owners get a practical wake up call: AI search tools ignore vague marketing claims completely, so vague slogans will not survive this shift.

Then it is on to pesky callers, a well behaved moat dragon, and a 2004 Ford ad that might just be the best car commercial ever made.

Get ready to take notes.

Talking About Marketing podcast episode notes with timecodes

01:30 Person This segment focusses on you, the person, because we believe business is personal.
Are We Still Thinking, Or Just Accepting the Answer

Steve introduces Pete Blackshaw’s upcoming book, The Answer Economy, and its central worry: as AI tools take over our searching, what happens to the human doing the asking. David frames it as the next stage of the attention economy. For 25 years we built research skills by comparing sources ourselves. Now an AI summary sits at the top of the page, ready to do that work for us, and the question becomes whether solving a problem quickly is the same as solving it well.

Borrowing from James Clear on habit formation, David notes that our old habit of searching then evaluating has quietly become searching then accepting. That shift, he argues, is a problem for our critical thinking, and it raises a bigger question about who is funding the answer we are being handed. Steve and David then run an informal trust test across AI tools, noting that Claude scored Amazon a modest five out of ten on its customer centric claims, even though Amazon helps fund Anthropic. It is a small data point, but one that earns some confidence in at least one of the tools doing the answering.

The segment closes on Pete Blackshaw’s idea that consumers are shifting from searchers to interrogators. Steve shares a real test he ran, asking an AI overview to compare local mechanics, then following up with a more specific question about trustworthiness for his eighteen year old daughter. The follow up question changed the entire recommendation. David frames it as a reminder to stay specific and curious rather than settling for the first, more general answer.ng that the moral combat these posts trigger makes reasonable conversation almost impossible, and that recognising the tactic early is the first step toward choosing not to play. If your temperature is rising, Steve says, it is probably not an accident.

This excerpt is from the full Blackshaw interview with Shel and Neville from the For Immediate Release podcast (one of Steve’s favourites).

15:30 Principles This segment focusses principles you can apply in your business today.
Why Vague Marketing Claims Are About to Stop Working

Steve breaks down what The Answer Economy actually means for a small business. People search by asking questions, so the businesses that win are the ones structuring their content to directly answer those questions, rather than leaning on slogans. David connects this to inbound marketing, arguing that a person who arrives with a genuine question already has intent, and answering that question well increases the odds they become a customer.

Here is the blog post Steve refers to: AI Ready: The Small Business Guide to Being the Answer

Groundless claims like being the best in the state no longer carry weight, because, as David puts it plainly, AI search tools ignore vague marketing claims completely. Steve calls this a genuine wake up call for small business owners still leaning on assertions instead of substance. The fix, they argue, is not more clever copy. It is specific, honest, question and answer style content that reflects real expertise, which is exactly the thinking behind TAM’s own GEO Ready work.

A clip from Pete Blackshaw adds that different AI tools have different personalities and source preferences, with Claude in particular acting as what Blackshaw calls the extreme librarian, favouring credentialed sources over marketing spin. David frames this as an opportunity: small business expertise, long underused online, now has a format built for it, with businesses that articulate what they actually know positioned to benefit.ear: before you respond, ask whether the mob is interested in listening or just needs its next dopamine hit. If it is the latter, the most effective thing you can do is nothing. Do not post for two days. Let the outrage find its next target. The memory, David notes, is very short.

27:30 Problems This segment answers questions we've received from clients or listeners.
A Well Behaved Moat Dragon for Your Phone

Steve tackles a problem every business owner will recognise, the relentless spam call. His solution is a simple phone setting that screens unknown callers, asking them to identify themselves before the phone even rings. David describes the feature as a well behaved moat dragon.

Steve walks through the setup for iPhone (Settings, Screen Unknown Callers, then choosing “ask reason for calling”) and covers the equivalent options for Android, Pixel, and Samsung users. It took him thirty seconds to switch on and has noticeably reduced the daily static competing for his attention, freeing up mental space for the work that actually matters.

31:45 Perspicacity This segment is designed to sharpen our thinking by reflecting on a case study from the past.
Would the Ford Territory Ad Still Work Today?

David nominates a 2004 Ford Territory ad built around a mum juggling household chaos with eyes in the back of her head, courtesy of the car’s then novel reverse camera. Both hosts note it leads with the human before the features, unlike most car ads.

The test they set themselves is whether the same approach could work now that every car has every feature as standard. David’s answer is that the ad succeeds because it starts with a person and their genuine needs, then lets the product follow, a structure that would still work today regardless of which feature gets the spotlight. It is a neat, practical echo of the answer economy conversation that opened the episode: understand the human’s intent first, then speak to it.