Different results across Maps vs AI vs ChatGPT

Lately, I’ve been noticing something really interesting (and confusing) in local SEO results, and I wanted to get your thoughts on it.

For the same long-tail local keyword, the results are completely different across platforms:

• Google Maps
• Google Search (AI Overview / AI Mode)
• ChatGPT

Example keyword: “best restaurants in San Francisco”

When I checked:

Google Maps shows one set of restaurants :https://prnt.sc/kDoXgevaBJHT

Google AI Mode shows a different curated list : https://prnt.sc/TN3-UJ2SlXHD

ChatGPT gives another variation : https://prnt.sc/WiGfWqA3cGJP

There are a few overlaps, but most of the results are totally different across all three.

This raises a few questions for me:

Are we now dealing with 3 different ranking ecosystems instead of just Google?

Should we optimize separately for:

Maps
AI Overview
AI tools like ChatGPT

1. What signals actually influence inclusion in AI-generated results vs traditional rankings?

2. Is brand mention + entity authority becoming more important than backlinks in this context?

3. How do we even track or measure visibility across these platforms?

Right now, it feels like:

Maps = Local SEO (traditional)

AI Overview = Hybrid (SEO + semantic authority)

ChatGPT = Entity + data aggregation layer

My main confusion:

Are we supposed to build three separate strategies, or is there a unified approach that works across all?
Would love to hear from anyone testing this seriously or seeing similar patterns.

What are you guys doing to adapt to this shift?

Yes, they all have different criteria.

And it’s not just local.

You can bring more AI engines into the mix and you’ll see more of the same pattern.

chatgpt uses bing for searches

make sure your on bing places

It definitely feels like each platform is using its own ranking signals now. Maps still follows traditional local SEO, while AI Overview and ChatGPT rely more on entity strength and consistent brand data. The main mistake is assuming one strategy fits all three. A solid unified approach works, but you need strong, clear signals across every platform.

tiiberius said:

Yes, they all have different criteria.

And it’s not just local.

You can bring more AI engines into the mix and you’ll see more of the same pattern.

Click to expand...

You’re absolutely right and this is exactly what makes SEO more complex now.

What I’m noticing is:

Google Maps → proximity + reviews + local relevance
AI systems → entity authority + brand mentions + context

daverawcus said:

chatgpt uses bing for searches

make sure your on bing places

Click to expand...

It's just one piece of the puzzle now.

laliana said:

It definitely feels like each platform is using its own ranking signals now. Maps still follows traditional local SEO, while AI Overview and ChatGPT rely more on entity strength and consistent brand data. The main mistake is assuming one strategy fits all three. A solid unified approach works, but you need strong, clear signals across every platform.

Click to expand...

I completely agree that the mistake is using a single strategy. So yeah not separate strategies, but a unified one with platform-specific reinforcement.

Good observation. Honestly people are overcomplicating this. Entity authority covers most of the ground across all three: consistent brand mentions, clean schema, strong GBP, citations on legit sites. That foundation bleeds into Maps, AI Overview and ChatGPT simultaneously.
Only real platform-specific thing I'd add is Bing. ChatGPT pulls from it more than people realize, so if you've been ignoring it, worth revisiting.
Tracking across all three is still a pain, no clean solution yet.

Yeah its basically 3 systems now maps seo ai layer and data sources. They pull from different signals so results wont match.

Best move is build strong brand mentions and local signals cause that shows up across all not just links.