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Your AI PPC strategy is about to matter more than your keyword strategy

Oliver Reading - Dig & Dig

Oliver Reading

Search has stopped being just a query. It is becoming a conversation. As AI Overviews, AI Mode and AI-powered search experiences reshape how people discover brands, your AI PPC strategy needs to evolve too.

The short version? Success is becoming less about keyword targeting alone and more about feed quality, first-party data, conversion signals and content that directly answers user questions. Brands that adapt will be easier for AI-powered platforms to recommend. Brands that don’t risk becoming less visible, even if their existing campaigns appear to be working.

Many PPC accounts are still built around the old search model: a keyword, a match type and a bid. That made sense when search was a single question followed by a single results page. It doesn’t hold up when the user journey now plays out through research, comparison and follow-up questions in the same AI-led session.

That shift changes the job of paid search. The question is no longer just whether your brand appears for the right keyword. It is whether your brand is useful, relevant and visible at the moment someone is deciding what to do next.

How AI PPC strategy is adapting to conversational search

AI-powered search is turning individual queries into longer conversations, creating new opportunities and new challenges for PPC advertisers.

AI Overviews and AI Mode are changing where and how a brand appears. For a growing number of queries, especially category-level ones, the answer is forming directly on the page, built from context rather than a single search term. Showing up well here isn’t about ranking for a phrase anymore. It’s about being genuinely useful and relevant at the moment.

For a retail brand, that’s when someone’s actually deciding what they want to buy. Or for a B2B brand, that’s the moment a decision-maker is searching for the best solution to their business problems.

That’s a different skill to the one most PPC accounts are set up for. A modern AI PPC strategy requires marketers to think beyond keywords and understand how users move through conversations, comparisons and follow-up questions within a single search session.

We’re going from users typing a keyword at Google to users having a conversation with Google, one that covers comparisons, questions, and follow-ups in a single session. The businesses that get found inside that conversation, at the contextually right moment, are the ones set to benefit most.

Person typing AI PPC strategy on keyboard - Dig & Dig

Important side note: this isn’t unique to Google. ChatGPT has started testing ads too, placed contextually beneath its responses rather than alongside a results page. It’s early days, but the direction of travel is the same. The platforms people search on are becoming platforms people talk to, and paid media is having to follow that shift wherever it happens.

Oliver Reading, Senior Paid Search Account Director

Why are product feeds and content becoming more important than keywords for AI PPC strategy?

Here’s the part most accounts are missing. A lot of AI matching is now keywordless. For shopping brands especially, Google is increasingly matching intent to your product feed directly. That makes feed quality the new frontline of paid search when showing up.

Your feed isn’t a set-and-forget. It needs to become part of your strategy, and evolve as the market does. Here’s a high-level overview of what we see in new client product feeds, vs the ideal setup.

Typical setup AI-ready setup
Minimum required feed fields only Size, color, material and pattern fields populated
Short, keyword-stuffed product titles Information-rich, descriptive product titles
Site content written for a keyword to rank Site content written to directly answer the question being asked

If you’re a retailer, size, color, material, pattern and stock status are increasingly doing the job your keyword list used to do. Rich, information-dense titles matter more than ever because there’s often no keyword left for Google to match against.

Your feed is becoming a critical part of your AI PPC strategy.

The same applies if you’re lead generation focused. Someone searching for the “best clinic near me” or the “best tool for the job” is having a conversation, not simply entering a keyword. Your site and your ads need to contribute meaningfully to that conversation.

What data signals does Google need to optimize performance?

The advertisers feeding Google the strongest conversion signals are likely to gain an increasingly significant advantage.

Enhanced conversions, first-party data signals, consent mode and a properly configured tag gateway all tell the algorithm that your conversion data is reliable.

Accounts with all three set up will create a performance gap that is difficult for less mature accounts to close. Message match between ad copy and landing page still matters too. It remains a Quality Score lever, but more importantly, it is a trust signal: it tells Google and the customer that what you promised is what you are delivering.

The brands getting ahead over the next 12 months won’t just be running clever ad copy. They’ll be running better-fed algorithms, feeding Google the signals it desires.

What should you prioritize in your AI PPC strategy right now?

Most brands don’t need a complete PPC rebuild, but they do need to strengthen the foundations that AI-powered platforms rely on.

  1. Retailer: Audit your feed for missing attributes and thin titles to ensure you’re sending rich, contextual info to Google.
  2. B2B/B2C Lead Gen: Utilize your CRM data to import quality signals such as qualified leads and customers for Google to learn from and find more of.
  3. More about that in my previous blog post on first-party data
  4. Get enhanced conversions, consent mode and tag gateway configured, if they aren’t already. This is foundational in modern Google Ads, not optional.
  5. Rewrite landing page content to answer the question, not just rank for the keyword.
  6. Build a testing rhythm to check what automated campaigns are actually doing with your budget, rather than trusting the topline number.

Is your AI PPC strategy ready for the future of search?

This isn’t PPC becoming less strategic. It’s PPC strategy moving into a different part of the account: feeds, signals, first-party data and content, not just bids and keywords. The risk for most brands isn’t a slow decline in clicks. It’s simply not moving with the times, and quietly disappearing from conversations they used to show up in without even noticing it’s happened.

More from us

As AI continues to reshape Google Ads, success is becoming less about keyword targeting and more about the quality of the signals you’re feeding the platform. Product feeds, first-party data, enhanced conversions and content all play a growing role in how visible your brand becomes within AI-powered search experiences.

At Dig & Dig, we help brands adapt to this shift through paid media strategy, technical account audits, feed optimization and data-led performance marketing. Our focus is simple: helping businesses give Google the information it needs to connect them with the right audience at the right moment.

If you’re exploring how AI is changing paid search, these articles are a useful next step:

Whether you’re questioning how AI Overviews could affect your visibility, looking to improve campaign performance, or want a clearer understanding of where Google Ads is heading next, get in touch with the Dig & Dig team at hello@diganddig.com or via our contact page.

About the author

Expertly led, expertly done. Our approach goes deep, and so does our experience.

Oliver Reading - Dig & Dig

Oliver Reading

Senior Paid Search Account Director

Oliver is a Paid Search specialist with over 11 years of experience driving performance through Search, Shopping, Performance Max, and Demand Gen campaigns. He has partnered with leading brands, including Boots, Schöffel, and Citizen Watches, to deliver strategies that maximize ROI and accelerate growth.

An expert in e-commerce and paid search strategy, Oliver excels in feed optimization and leveraging automation to enhance campaign efficiency. His approach combines data-driven insights with creative problem-solving to help clients achieve measurable success across markets.

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