JB’s Digital Update 20th April 2026

ChatGPT citations favour longer, structured content. Google introduces the idea of agentic optimisation for AI agents. Dynamic Search Ads are heading for retirement. PPC strategists are talking about profit instead of clicks. And Google Maps is now answering recommendation questions. Different announcements, same pattern. Discovery is slowly being filtered by machines first.

A small but telling study looked at how ChatGPT decides which sources to cite. The research behind ChatGPT citation patterns found that longer, structured articles appear more often in AI responses. Clear headings, explanatory depth, and well organised content seem easier for models to reference. In other words, the machine prefers sources that actually explain things.

If you produce content, this is worth paying attention to. For years marketers were told shorter content performs better online. Concise still matters. Thin does not. If you want AI systems to quote you, give them something worth quoting.

The larger shift is that visibility increasingly means being referenced inside AI answers rather than simply ranking in results. That changes how authority shows up. Instead of competing only for clicks, brands now compete to become the source an AI trusts. If your content strategy has not been reviewed in a while, it may be time. Our SEO services help structure content so both humans and machines can understand it.

Google’s AI team has started using the phrase agentic engine optimisation. The idea is simple. AI agents will increasingly research, compare, and summarise information before a user ever visits a website. The browsing happens on the user’s behalf.

That changes the audience slightly. Your content is still written for people. But it may be evaluated first by software deciding which sources to trust. If your pages are vague, bloated, or hard to parse, the agent simply moves on. You can already see the direction here. AI Overviews, summarised answers, and recommendation engines all push the same way. Machines are acting as the first reader of the web.

If you manage a website, ask a blunt question. Could a machine understand your page clearly in ten seconds? If the answer is no, our SEO strategy services can help bring some order to the structure.

Google has announced plans to retire Dynamic Search Ads. The details in Google’s move away from DSAs explain that AI Max will take their place. The new format relies much more heavily on automated campaign creation and targeting. You may have noticed the pattern here. Every few years another manual control disappears. Advertisers are told the machine will handle it better.

Sometimes it does. Sometimes it absolutely does not. Anyone who has audited a poorly behaving automated campaign knows exactly what I mean. There is also a philosophical problem here. When the system chooses the keywords, builds the ads, and sets the targeting, it becomes difficult to diagnose what actually drove performance. Which is convenient if you are the platform selling the ads.

If you are running Google Ads right now, it is worth reviewing how much automation sits in your account. Our PPC management services can help you assess where automation helps and where it quietly causes problems.

A thoughtful piece this week explored a different way of thinking about paid advertising. The idea behind this profit engineering approach to PPC is that marketers should optimise campaigns around profit rather than surface metrics like clicks or leads.

It sounds obvious when you say it out loud. Yet many campaigns are still optimised around platform metrics rather than business economics. Conversion volume looks great on a dashboard even when the margin behind those conversions is thin. If you manage paid media, this question is worth asking yourself. Do you know which campaigns actually drive profit after fulfilment, refunds, and operational costs? Or are you mainly looking at platform numbers?

Advertising systems are very good at generating activity. Activity and growth are not always the same thing. Our Paid advertising strategy services focus on aligning campaigns with the numbers that actually matter.

Google Maps is slowly turning into a recommendation engine. A new feature described in Ask Maps recommendations allows users to ask questions like “Where should I eat tonight?” directly inside the map interface. The system responds with AI generated suggestions.

You can probably guess where this leads. If Maps becomes a place where people ask for advice rather than directions, the map listing itself becomes the front door to discovery. If you run a local business, take a quick look at your own listing. Are the photos current? Are reviews active? Is the business information complete? Small details quietly influence which places appear in recommendation systems.

Local visibility has always depended on signals like reviews, accuracy, and activity. Now an AI layer is sitting on top of those signals. Our local SEO services help businesses keep those signals in good shape.

A pattern sits underneath all five stories this week. AI systems are gradually moving into the role of interpreter. They read the web, recommend businesses, generate ads, and summarise information before people see it.

If machines increasingly sit between you and your audience, clarity matters. Content that explains things well. Advertising aligned with real business numbers. Local listings that are maintained properly.

The basics still do most of the work.

JB.

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