Local Pack vs AI Overviews: Where the Traffic Is Actually Going in 2025

What’s actually changing

The local pack — the map and listings block for “near me” and service-plus-city searches — has held up better than a lot of people expected, because it’s answering a fundamentally transactional question: which specific business, with a phone number and a map pin, should I contact right now. AI Overviews have instead absorbed more of the informational and comparison layer that used to live in organic results above the pack: “what does this cost,” “how do I know if I need this,” “what’s the difference between these two options” — questions where the answer is information, not a business listing.

The consequence is that a business can hold steady or even improve its local pack position and still see organic click volume decline, because the informational searches that used to send traffic to a blog post or service page are now getting fully answered inside the search results themselves. That’s a real shift in where the value of ranking well shows up — less in raw click volume for informational content, more in whether a business’s content gets pulled into the answer that replaces the click.

Why it matters for small business

For a local business, this means map-pack visibility and AI-answer visibility are genuinely separate investments that both matter, not two names for the same effort. A business can dominate the map pack for its category and still be functionally invisible in the answers customers see while they’re still deciding what they even need — which matters because that decision stage is where brand preference often gets set before the transactional search ever happens.

The tricky part is that standard analytics tools were built to count clicks, and an AI Overview citation that doesn’t get clicked doesn’t show up as a win anywhere in a typical dashboard — which means a business relying only on click and ranking reports can be losing informational visibility for months without any metric flagging it. Checking actual AI answers for your core questions, directly and periodically, is currently the only reliable way to see that gap.

What to do in the next 30 days

For most small and mid-market service businesses, the 30-day move is to establish a baseline. Document where you are today — current ranking on 25-50 high-intent keywords, current Google Business Profile score, current review velocity, current monthly lead volume. Without a baseline, every subsequent intervention is unmeasurable.

Pick your ten most common informational queries — the “what does it cost,” “how do I know if,” “what’s the difference” questions customers ask before they’re ready to call — and check what Google’s AI Overview, ChatGPT, and Perplexity currently say for each one. Compare that separately from your map pack position on transactional “near me” searches, since a strong showing in one tells you nothing about the other.

The third 30-day move is to read enough about the discipline that you can have an informed conversation with the team or agency doing the work. The marketers who get burned by mediocre execution are usually the ones who can’t evaluate whether the work is good or bad — and the simplest hedge is twenty minutes a week of reading the industry research from real practitioners.

Local pack and AI Overviews are measuring two different kinds of intent, and a business that only tracks one is only seeing half the picture. Reach out for an AI-visibility check across your core informational queries.