I asked ChatGPT, Perplexity, and Claude to recommend an SEO agency in San Diego. ChatGPT named 4. Perplexity cited 3. Claude mentioned 5. Out of hundreds of agencies, only 2 appeared in all three.
LLM SEO is the practice of getting your business recommended by AI systems — not just ranked on Google. It's a different game with different rules, and most San Diego businesses aren't playing it yet.
How LLM SEO Differs From Traditional SEO
Traditional SEO gets you ranked in Google's 10 blue links. LLM SEO gets you cited in AI answers — ChatGPT conversations, Perplexity searches, Google AI Overviews, Claude responses.
The difference matters because AI answers are replacing clicks. When someone asks ChatGPT "who should I hire for SEO in San Diego," they get a direct recommendation. They don't scroll through 10 results. They trust the answer and call.
Traditional SEO ranking factors: backlinks, page speed, domain authority, keyword density.
LLM SEO citation factors: structured data, review signals, factual specificity, authoritative sourcing, FAQ content.
There's overlap, but the priorities are different.
The 4 Factors AI Systems Use to Recommend Businesses
I've been testing AI recommendations across 15 industries in San Diego. The businesses that consistently get cited share four traits:
1. Review Volume and Specificity
AI systems read your Google reviews. Not just the star rating — the actual text. A review that says "Best plumber in North Park, fixed our pipe in 2 hours, charged $180" gives AI specific data to cite. A review that says "Great service!" gives it nothing.
Businesses with 150+ detailed reviews get cited 4x more often than those with 50 generic ones.
2. FAQ Content With Exact Answers
When someone asks "how much does SEO cost in San Diego," AI systems scan the web for pages that directly answer that question. If your page says "Starting at $249/month for local SEO with keyword tracking, GBP management, and monthly reporting," that's citable. If it says "contact us for a quote," it's not.
Every service page needs 3-5 FAQs with specific, factual answers.
3. Schema Markup
AI systems parse structured data 10x more efficiently than raw HTML. LocalBusiness schema, FAQ schema, Service schema, and Review schema tell AI exactly what your business does, where, and how customers rate it.
22 of 25 businesses I found in AI recommendations had FAQ schema. Only 3 of 25 businesses NOT in recommendations had it.
4. Consistent Citations Across Directories
AI cross-references your business data across Yelp, Google, Facebook, Healthgrades, and 40+ other directories. Inconsistencies — different phone numbers, address variations, outdated hours — reduce AI confidence in recommending you.
The businesses getting cited had consistent NAP (name, address, phone) across an average of 47 directories.
How to Check Your LLM Visibility Right Now
Open ChatGPT, Perplexity, and Google (look for the AI Overview box). Search for your primary service + "San Diego" or your neighborhood.
- "best [your service] in San Diego"
- "[your service] near [your neighborhood]"
- "who should I hire for [your service] in San Diego"
If you appear in 2+ platforms, you're ahead. If you appear in zero, you have a visibility gap that's costing you leads every day.
A Quick LLM SEO Audit
| Check | Yes | No |
|---|---|---|
| 100+ Google reviews? | You're in the running | Priority: review generation |
| FAQ schema on service pages? | AI can parse your content | Priority: add schema |
| Specific pricing on your site? | AI can cite your rates | Priority: add pricing FAQ |
| 40+ consistent directory listings? | AI trusts your data | Priority: citation building |
| Posted on GBP in last 14 days? | Google sees you as active | Priority: weekly GBP posts |
Score 4-5: strong LLM presence. Score 2-3: gaps to fix. Score 0-1: invisible to AI.
FAQ
Is LLM SEO different from regular SEO?
Yes, but they complement each other. Regular SEO focuses on Google rankings (backlinks, page speed, keyword optimization). LLM SEO focuses on AI citations (structured data, factual content, review signals). Doing both gives you visibility in traditional search AND AI-powered search. Most businesses that rank well in Google but lack schema markup and FAQ content are invisible to AI systems.
Which AI platform matters most for local businesses?
Google AI Overviews has the most impact because it appears directly in Google search results — where most people still start. ChatGPT and Perplexity are growing fast, especially for recommendation queries ("who should I hire for X"). Optimize for all three — the requirements overlap significantly.
How long does LLM SEO take to work?
Schema markup changes are typically picked up within 2-4 weeks. Review generation impacts AI visibility within 4-8 weeks. Citation building takes 1-3 months. Most businesses see measurable AI visibility improvements within 60-90 days of consistent optimization.
Can small businesses compete with bigger companies in AI search?
Yes — and this is where small businesses have an advantage. AI recommendations typically include 3-5 businesses, not 50. A small dental practice with 200 reviews, FAQ schema, and weekly GBP posts can outperform a large chain that relies on brand recognition alone. AI systems favor specificity and local relevance over brand size.
Get Your Free SEO Audit → clawsignal.co/free-audit
Want to see where your business stands? Get your free SEO audit at ClawSignal — we'll scan your visibility across Google, AI platforms, and local directories in 60 seconds.
Related: [ChatGPT SEO Guide](/blog/chatgpt-seo-local-business) | [AI Visibility: 9 Platforms](/blog/ai-visibility-tracking-local-business) | [Claude AI Citations](/blog/ai-citation-tracking-claude) | [Free AI Audit](/free-audit)
