Two years ago, writing a first draft of a meta description or a keyword list took a junior an hour. Now it takes a few minutes, and the real work is deciding whether the draft is any good. That shift, from making things to checking things, is the clearest change AI has brought to our agency.
Search Results Look Different Now
Google’s AI Overviews put a generated summary at the top of many searches, and other tools such as ChatGPT and Perplexity answer questions without sending a visitor anywhere. For simple “what is” queries, fewer people click through. We see this in Search Console, where impressions can hold steady while clicks slip on informational pages.
It does not mean SEO is finished. It means pages need to be worth citing and worth visiting. Original examples, clear structure, and real expertise help. Thin pages that repeat what ten others say are the ones that get squeezed.
Content Volume Is Cheap, Quality Is Not
Anyone can now produce a hundred articles in a week. Many sites did, and a lot of them read the same. Because volume is easy, it has stopped being an advantage. What stands out is a point of view, a local detail, a screenshot from a real account, or a mistake someone learned from.
We use AI for outlines, headline options and cleaning up rough notes. We do not publish raw output. Each piece still gets fact-checked and rewritten by someone who knows the subject.
Personalisation and Ad Platforms
Google Ads and Meta now lean heavily on automation. Performance Max, Advantage+ campaigns and broad match with smart bidding make many decisions that used to be manual. Results can be good, but only if the inputs are good: clean conversion tracking, strong creatives, and sensible audience signals.
- Feed the platform accurate conversion data, not just form fills of any quality.
- Supply several creative variations and review which ones actually carry the spend.
- Check search terms and placements regularly, because automation can wander.
On the website side, tools can adjust messages or product suggestions based on behaviour. That is useful for larger stores, though most small businesses will get more from fixing a slow page than from personalisation.
Reporting Is Faster, Judgement Is Not
Dashboards in Looker Studio and GA4 can now summarise a month of data in plain language. That saves time. But a summary that says traffic rose 12 percent does not tell you that the rise came from one irrelevant country. Someone has to look at the source, the quality of leads, and what the client actually sold.
One more habit we have picked up: we ask the client what they would like to know, then build the report around that question. A tool will happily produce forty charts, and most of them answer nothing anyone asked.
What Still Needs a Human
Strategy, for one. Deciding which customers to chase, what to charge, and what to say requires knowing the business. Client relationships, brand voice, and ethical calls about claims and targeting also stay with people. And so does accountability. If an ad says something wrong, the agency answers for it, not the tool.
Our advice is simple, and a little old fashioned: use AI to remove the dull parts of the work, and keep people on the decisions. If you want to see how we apply that in practice, have a look at our digital marketing agency in India page or get in touch for a quick conversation.
