New 2026 service
Appear When Customers Ask AI Tools for Local Recommendations.
45% of consumers now use AI tools to find local businesses, up from just 6% in 2025 (BrightLocal LCRS 2026). We build the specific signals ChatGPT, Gemini, and Perplexity look for when deciding who to recommend.
Why now
The shift already happened.
AI tools for local search
6%
2025
45%
2026
Used AI in their latest local search
23%
2026
Source: BrightLocal Local Consumer Review Survey 2026.
Google is still the largest single channel, so this service builds on top of strong local SEO rather than replacing it. What it adds is deliberate attention to the signals AI tools weigh differently, which most businesses have not touched yet.
What matters
What ChatGPT, Gemini, and Perplexity look for.
LocalBusiness schema
Structured data that clearly identifies who you are and where you operate.
Review text quality
The actual written content of reviews, not just the star rating.
NAP consistency
The same name, address, and phone number everywhere your business appears.
Entity signals
A consistent, verifiable identity across your site, GBP, and directories.
Deliverables
Five things we build.
LocalBusiness schema implementation
Structured data added to your key pages so AI tools can identify your business entity precisely.
Review content strategy
Guidance to encourage detailed, specific reviews rather than one-word star ratings.
Speakable schema
Marking your clearest content as suitable for AI summary and voice response.
Entity signal building
Aligning your business details across every platform so AI tools trust you as one consistent source.
AI crawler directives
A deliberate robots.txt setup, deciding case by case which AI crawlers to allow.
The difference
AI tools versus Google Maps.
| Factor | Google Maps | AI tools |
|---|---|---|
| Primary data source | Structured local index | Web content and schema |
| Review weighting | Star rating and volume | Actual review text content |
| Distance factor | Direct ranking pillar | Contextual, less rigid |
| Answer format | List of three pins | Synthesised recommendation |
| Update speed | Continuous crawling | Varies by tool and training cycle |
A simplified comparison. Both systems continue to evolve.
Common questions
About AI local SEO.
It builds on the same foundation rather than replacing it. Most of the work overlaps with good traditional local SEO, with added focus on schema markup and review text quality that AI tools weigh more heavily.
We periodically test how ChatGPT, Gemini, and Perplexity respond to relevant local queries in your category and area, tracking whether and how your business is mentioned over time.
Ranking well on Google Maps is a strong foundation, but AI tools weigh some signals differently. A growing share of local discovery now happens through AI tools, so it is worth strengthening those signals specifically.
It is a real tradeoff, not a simple choice. Blocking AI crawlers protects your content from being used in AI training, but it also reduces your visibility when consumers ask AI tools for local recommendations. Our free robots.txt generator helps you decide deliberately rather than by default.
We launched this service in 2026 as AI tool usage for local search grew from 6% to 45% adoption in a single year. It is genuinely new, built specifically for how AI tools currently choose which businesses to recommend.
Get ahead of the shift