LLM SEO: How to Optimize for AI Search Engines

Nine hundred million people use ChatGPT every week. A growing share of them use it the way they used to use Google: to find service providers, compare options, and decide who to call. If someone asks an AI search engine “who’s the best electrician in Providence?” and your business isn’t in the answer, you have a visibility problem that traditional SEO alone won’t fix.

LLM SEO is the practice of optimizing your business to be cited and recommended by large language models — the AI systems behind ChatGPT, Claude, Gemini, Perplexity, and Grok. You may also see this discipline called GEO (generative engine optimization) — the terms describe the same practice, as we explain in our GEO vs SEO comparison. It overlaps with traditional SEO in some areas and diverges sharply in others. This guide covers what actually works, what doesn’t, and where to focus if you run a service business.

What LLM SEO means in practice

Traditional SEO optimizes for ranking on a list. You target a keyword, build a page, earn links, and try to appear in Google’s top ten results. The user sees a list and clicks through.

LLM SEO optimizes for being cited in an answer. When someone asks an AI search engine a question, the model synthesizes information from multiple sources and returns a direct response. It might mention three businesses, one business, or none. There is no “page one” to rank on — your business is either part of the answer or it isn’t. This shift from ranking to citation is the core difference between SEO and AEO, and it changes how you allocate your optimization effort.

The mechanics are different:

Why this matters for service businesses

Most LLM SEO guides are written for SaaS companies and content marketers with large editorial sites. Service businesses face a different challenge.

Your website is inherently promotional. ChatGPT and other AI models deprioritize overtly promotional content when generating recommendations. They prefer editorial sources — review sites, directories, industry publications, Reddit discussions. If your website is a five-page brochure (homepage, about, services, contact, blog), AI models have limited material to work with and limited reason to cite you directly.

Your authority is local. National backlink profiles and domain authority scores matter less for a plumber in Providence or a cleaning company in Cranston. AI models weigh local signals differently: Google Business Profile data, review volume, local directory listings, and community mentions.

Your customers are already asking AI. Thirty-seven percent of consumers now start searches with AI tools. For service queries — “who should I call for HVAC repair in [city]?” — AI search engines are pulling from review aggregators, local directories, and the few businesses that have enough structured content to be cited.

The businesses that show up in AI answers will get the calls. The rest will depend entirely on Google rankings that are increasingly squeezed by AI Overviews.

How AI search engines decide what to cite

Understanding what drives citations helps you focus on the right optimizations.

Brand search volume is the strongest signal

Research from The Digital Bloom’s 2025 AI citation visibility report found that brand search volume — how many people search for your business by name — has the strongest correlation (0.334) with LLM citations. This makes sense: AI models interpret brand search volume as a proxy for relevance and trust. A business that people actively search for is more likely to be recommended.

For service businesses, this means your offline reputation feeds your AI visibility. Referral-driven businesses that generate branded searches (“search for [your company name] reviews”) have an advantage in LLM citation rates.

Bing rankings matter more than you think

Eighty-seven percent of ChatGPT’s citations align with top-ranking Bing results. Most service businesses have never thought about Bing optimization because Google dominates search traffic. With ChatGPT drawing from Bing’s index, your Bing rankings now determine whether the largest AI search engine can find you. For a deeper look at how ChatGPT specifically sources and ranks businesses, see our guide on ChatGPT SEO.

The practical implications:

• Claim and optimize your Bing Places listing. This is the Bing equivalent of Google Business Profile. Most service businesses haven’t done it.
• Submit your sitemap to Bing Webmaster Tools. Bing’s crawler is less aggressive than Google’s. Explicit submission ensures your pages are indexed.
• Don’t block Bing’s crawler. Check your robots.txt. If you’ve been focused exclusively on Google, you may not have noticed Bing-specific crawl issues.

Third-party mentions are more valuable than on-site content

AI models treat third-party sources as more credible than your own website. When Perplexity answers “best cleaning service in [city],” it’s pulling from Yelp, Google Reviews, Reddit, Angi, and industry roundup articles — not from your homepage.

This changes the optimization priority. Instead of focusing only on your website, you need to build your presence where AI models source their answers:

• Review platforms: Google Reviews, Yelp, Angi, HomeAdvisor, Clutch, industry-specific directories
• Discussion platforms: Reddit threads, local community forums, Nextdoor
• Content aggregators: Local “best of” articles, industry roundups, chamber of commerce listings
• Social proof: Case studies and testimonials that get picked up by third parties

Structured data helps AI extract information

Schema markup helps AI models understand what your business does, where it operates, and what it charges. Pages with FAQPage schema see a 41% citation rate compared to 15% without, according to research from Averi.ai.

For service businesses, the highest-impact schema types are:

• LocalBusiness (or a more specific subtype like Plumber, Electrician, DentalClinic)
• Service with price, area served, and service description
• FAQPage for your frequently asked questions
• Review and AggregateRating from customer reviews

What to optimize: a practical checklist

1. Let AI crawlers access your site

AI search engines use their own crawlers to index content. If your robots.txt blocks them, they can’t find you. The major crawlers:

• OAI-SearchBot (ChatGPT search)
• ChatGPT-User (ChatGPT browsing)
• ClaudeBot (Claude)
• PerplexityBot (Perplexity)
• Google-Extended (Gemini)

Check your robots.txt file. If you see blanket disallow rules or if these specific bots are blocked, update the file. If you don’t have a robots.txt file, you don’t need to create one — the default behavior allows all crawlers.

2. Create an llms.txt file

The llms.txt standard is an emerging convention — a plain text file at your domain root that provides AI models with a structured summary of your business. It’s similar in purpose to robots.txt but designed for information extraction rather than crawl permissions.

Include your business name, services, service area, pricing (if public), and contact information. Keep it factual and structured. AI models that support llms.txt will use it as a primary source when generating answers about your business.

3. Build your Bing presence

Given that ChatGPT relies heavily on Bing’s index:

• Claim your Bing Places for Business listing
• Submit your sitemap through Bing Webmaster Tools
• Verify your Bing listing has accurate NAP (name, address, phone) data
• Ensure your website renders correctly for Bing’s crawler (test with Bing’s URL Inspection tool)

4. Add structured data to every service page

Implement schema markup on your service pages. At minimum, include:

{
  "@context": "https://schema.org",
  "@type": "Service",
  "name": "Emergency Plumbing Repair",
  "provider": {
    "@type": "LocalBusiness",
    "name": "Your Business Name",
    "areaServed": "Providence, RI"
  },
  "description": "24/7 emergency plumbing repair...",
  "offers": {
    "@type": "Offer",
    "price": "150",
    "priceCurrency": "USD"
  }
}

Add FAQPage schema to any page with a FAQ section. These direct question-and-answer pairs are exactly the format AI models prefer to cite.

5. Write content that AI can extract

AI models cite content that directly and clearly answers questions. The format that works:

• Clear heading hierarchy. H2 for major topics, H3 for subtopics. AI models use headings to identify relevant sections.
• Direct answers in the first sentence after a heading. If your H2 is “How much does HVAC repair cost?”, the next sentence should state a price range. Don’t build up to the answer.
• Factual, specific claims. “We serve the Greater Providence area including Cranston, Warwick, East Greenwich, and North Kingstown” gives AI models concrete location data. “We serve the local area” gives them nothing.
• Avoid promotional fluff. AI models skip content that reads like ad copy. “We’re the region’s premier provider of world-class solutions” tells an AI nothing it can cite. “Licensed and insured since 2005, 4.8-star rating on Google with 200+ reviews” is extractable.

6. Build third-party citations

This is the highest-leverage activity for most service businesses and the one most often neglected. AI models trust what other sources say about you more than what you say about yourself.

Action items:

• Respond to every Google review (positive and negative) — active review management signals legitimacy
• Get listed on every relevant local directory and review platform
• Encourage satisfied customers to mention your business on platforms AI models index (Google Reviews, Reddit, Nextdoor)
• Pursue local press coverage, “best of” list inclusions, and chamber of commerce features
• Create profiles on industry-specific directories (Angi for home services, Clutch for professional services, Healthgrades for medical)

7. Keep your content fresh

AI models show a 26% recency bias compared to traditional search. They prefer citing recent content over older content, all else being equal. This means:

• Update your service pages at least quarterly with current pricing, service descriptions, and FAQ answers
• Keep your Google Business Profile active with regular posts and photo updates
• Publish new content consistently — even one article per month signals that your business is active and current

What doesn’t work

Spending time on approaches that sound reasonable but don’t move the needle:

• Keyword stuffing for AI. LLMs don’t match keywords the way search engines do. They understand semantic meaning. Writing naturally about your services is more effective than repeating “best plumber Providence RI” throughout your content.
• Buying backlinks. AI models weight brand mentions and third-party editorial citations differently than Google weights backlinks. A paid link on a random directory does less than a genuine mention on a local Reddit thread.
• Publishing thin content at volume. Twenty 300-word blog posts won’t build the content depth AI models look for. Three comprehensive, well-structured guides will.
• Optimizing only your website. If 80% of AI citations come from third-party sources, spending 100% of your effort on your own site is misallocated.

Why monitoring matters more than a one-time fix

LLM citation behavior changes constantly. AI models update their training data, adjust their retrieval methods, and shift their source preferences. A business that gets cited by ChatGPT today might disappear from its answers next month — and you won’t know unless you check.

Traditional rank tracking tools (SEMrush, Ahrefs, Google Search Console) don’t cover AI search visibility. They track Google rankings. They don’t tell you whether ChatGPT mentions your business, whether Gemini cites your website, or whether Perplexity recommends your competitor instead.

This is why we built our monitoring service. It tracks your Google rankings and your AI visibility across ChatGPT, Claude, Gemini, Perplexity, and Grok. You get regular reports showing exactly where you appear, where you don’t, and what changed. No login required, no dashboards to learn — the analysis comes to your inbox.

If you’re starting from scratch and want to understand where you stand across both traditional search and AI search, our digital marketing audit covers seven research phases including AI visibility testing across all five platforms.

Where to start

If you run a service business and you’ve read this far, here’s the priority order:

1. Check your AI visibility today. Ask ChatGPT, Claude, and Gemini about your service category in your area. See if they mention you. This gives you a baseline.
2. Claim your Bing Places listing. Takes 15 minutes and directly impacts ChatGPT citation eligibility.
3. Add structured data to your service pages. LocalBusiness schema and FAQPage schema are the highest-impact implementations.
4. Audit your third-party presence. Are you on every relevant review platform and directory? Do you have recent reviews? This is where most AI citations originate. For a step-by-step approach to building AI visibility into your marketing workflow, see our AEO marketing strategy guide.
5. Start monitoring. Set up tracking for both Google rankings and AI visibility so you can measure what changes over time. Our monitoring service does this for $129/month — first report within 48 hours.

The businesses that establish AI search visibility now are building an advantage that compounds. AI search usage is growing, and the businesses that show up in answers today are training these models to continue recommending them tomorrow.