How AI search changes local discovery
People increasingly ask questions in full sentences and receive written answers. A homeowner might ask, "Who repairs tile roofs near Arcadia, and what should I check after a monsoon?" and receive a summary with a few cited sources and businesses, rather than a list of ten links.
Google launched AI Overviews in the United States in May 2024 and has since expanded AI features, including AI Mode. Other AI assistants also search the web and cite sources. For local businesses, this creates a new question: when an AI system summarizes your field or recommends providers, does it know your business, and does it describe you correctly?
What AI systems draw on
AI search systems generally combine a language model with live search and other data sources. For a local business, the inputs that matter most are:
- Your website content, especially pages that answer specific questions clearly.
- Business listings, such as your Google Business Profile, Apple Business Connect and Bing Places.
- Reviews and what customers say about you.
- Mentions on other sites, such as local news, directories and associations.
- Structured data that states facts about your business precisely.
None of this is new. It is the same foundation as good local SEO, with extra emphasis on clarity and consistency.
What Google says about its AI features
Google's guidance for site owners states that the same SEO best practices apply to AI features such as AI Overviews and AI Mode, and that there are no additional technical requirements: a page must be indexed and eligible to appear with a snippet in Search to be shown as a supporting link. Controls such as nosnippet, data-nosnippet and max-snippet apply to these features too. In other words, you cannot buy or tag your way into AI Overviews; you earn inclusion with helpful, accessible content.
Our AI search services
| Service | Focus |
|---|---|
| Generative engine optimization | Being cited and described accurately in AI-generated answers |
| Answer engine optimization | Structuring content as direct answers to specific questions |
| Google AI Overviews optimization | Visibility in Google's AI summaries above search results |
| Local AI search optimization | Being recommended for local service questions |
The core practices
Answer-first content
Each section begins with a short, direct answer before adding detail. AI systems and readers both benefit from statements that can stand alone, such as "Most water heaters in Phoenix last 8 to 12 years, often less where water is very hard."
Clear, consistent facts
Service areas, hours, licenses, specialties and business details should be identical on your website, Google profile and listings. Inconsistent facts lead to inconsistent AI descriptions.
A well-defined entity
Search systems understand businesses as entities with attributes: what they do, where, for whom, since when. A clear About page, consistent naming, structured data and links to official profiles help define that entity.
Topical depth
A site that covers its subject thoroughly gives AI systems more to draw on. Our topical authority work builds that coverage.
Reputation
AI answers about "the best" or "a reliable" provider often reflect reviews and third-party mentions. A strong, genuine review profile and local mentions support how AI systems describe you.
Example: rewriting for clarity
A typical service page paragraph before and after:
Before: "We're passionate about delivering world-class comfort solutions to valued homeowners throughout the greater metropolitan area with unmatched dedication." After: "We repair and replace central air conditioners and heat pumps in Phoenix, Glendale and Peoria. Most repair visits are scheduled within one business day, and our technicians carry common parts for Trane, Carrier and Lennox systems."
The second version states what, where, how fast and which brands, facts that a reader, a search engine or an AI system can use directly. Every detail must, of course, be true for the business.
AI crawlers and robots.txt
Several AI companies use their own web crawlers, such as OpenAI's OAI-SearchBot, PerplexityBot and Anthropic's ClaudeBot, alongside traditional search crawlers. Your robots.txt file controls which crawlers can access your site. Blocking a crawler used for an AI search product reduces the chance your content is used or cited there. We review your robots.txt so that it reflects a deliberate choice rather than an accident. Note that Google's AI Overviews rely on Googlebot and normal Search eligibility; the separate Google-Extended setting does not control appearance in Google Search.
What about llms.txt?
llms.txt is a proposed file format that lists a site's key pages in a simple form for language models. It is not an established standard, and Google has said it does not use it for Search. It does no harm and can be a tidy summary of your site, but it is not a substitute for clear, indexable content.
AI search by industry
Different industries see AI search show up differently. Medical, legal and financial questions are treated with extra care because they affect people's health, rights and money, so AI systems tend to favor highly credible sources. Home service questions often mix advice ("why is my AC freezing up?") with recommendations ("who can fix it near me?"). Restaurant and retail questions lean heavily on reviews, photos and listings. We tailor the work to how AI answers questions in your field.
Checking how AI describes your business
We test how major AI systems answer questions relevant to your business: what you do, where you work, how you compare and whether you are mentioned for key local questions. We record the answers, note any errors, such as an old address or a service you no longer offer, and trace the error to its likely source, usually an outdated listing or page.
Accuracy over visibility
Being mentioned is only useful if the information is correct. An AI answer that gives your old phone number or says you serve areas you do not can cost customers. Much of AI search optimization is making sure every source agrees on the correct facts, starting with your Google Business Profile and website.
What we do not claim
No one controls what AI systems say. Each system chooses its own sources, answers change over time, and results vary between users. We do not promise placement in AI answers. We improve the inputs those systems rely on, check outputs regularly and fix inaccuracies at their source.
Measuring AI search visibility
Measurement is still developing. We use several signals:
- Regular checks of key questions in major AI systems, recording whether and how you appear.
- Search Console data, which includes traffic from Google's AI features within overall search performance.
- Referral traffic in analytics from AI assistants that link to sources.
- Leads that mention finding you through an AI assistant, captured in calls and forms.
Getting started
We begin with an AI visibility check: how AI systems currently describe your business and answer key local questions in your field, which sources they appear to draw on, and which facts are wrong or missing. From there, we recommend the content, listing and data changes most likely to improve accuracy and visibility.