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TL;DR (40-60 word AI extraction block)

The 7 AI search engines San Antonio businesses need to optimize for in 2026 are: ChatGPT (800M weekly users), Google AI Overviews (2B users via Google), Perplexity (45M), Claude (30M), Gemini (750M), Microsoft Copilot (Bing-powered), and Meta AI (across Facebook, Instagram, WhatsApp). Each has different ranking factors.

The 7 AI engines that matter most in 2026

1. ChatGPT (OpenAI)

Users: 800 million weekly active. Strengths: Largest audience, broadest commercial intent. What it cites: Pages with high domain authority, Reddit content (heavily), Wikipedia, named expert sources. Optimization priority: HIGHEST. Key tactics: Build entity authority (Wikidata, press, Reddit), add direct-answer formatting (40-60 word blocks), get cited on third-party sites.

2. Google AI Overviews

Users: ~2 billion. Strengths: Highest commercial intent — users were already searching Google. What it cites: Pages ranking page 1 for the query, FAQ schema content, How-To content. Optimization priority: HIGHEST. Key tactics: Strong traditional SEO (ranking still required), FAQPage + HowTo schema everywhere, 40-60 word direct answers, featured snippet optimization.

3. Perplexity

Users: 45 million monthly (growing 40%+ MoM). Strengths: Citation-first design (every claim attributed). What it cites: Pages with high factual density (stats, dates, named sources), authoritative third-party citations. Optimization priority: HIGH. Key tactics: Statistical density with inline source citations, expert quotes with attribution, Wikipedia presence helps significantly.

4. Claude (Anthropic)

Users: 30 million monthly. Strengths: Higher technical/professional user base; high LTV B2B leads. What it cites: Authoritative, neutral, well-sourced content; news media; .edu/.gov. Optimization priority: MEDIUM. Key tactics: Press mentions, .edu / .gov citations, balanced phrasing, long-form depth-oriented content.

5. Google Gemini

Users: 750 million monthly. Strengths: Integrated with Google's knowledge graph. What it cites: Wikidata entities, well-structured data, Google Business Profile signals. Optimization priority: HIGH. Key tactics: Wikidata + Wikipedia (essential), GBP fully optimized, schema markup, YouTube channel (Google owns YouTube).

6. Microsoft Copilot (Bing-powered)

Users: 100M+ daily across Edge, Windows, Microsoft 365. Strengths: Enterprise + business user reach via Microsoft ecosystem. What it cites: Bing-ranked content, LinkedIn content, Microsoft-ecosystem sources. Optimization priority: MEDIUM. Key tactics: Bing Webmaster Tools verification + sitemap, LinkedIn content (huge Copilot signal), schema markup.

7. Meta AI (Facebook, Instagram, WhatsApp)

Users: ~600M monthly across Meta properties. Strengths: Direct messaging integration; high mobile/consumer usage. What it cites: Facebook Business pages, Instagram business profiles, news media. Optimization priority: MEDIUM-LOW. Key tactics: Optimized Facebook Business page, Instagram business profile, consistent NAP across Meta properties, news mentions.

Optimization priority matrix for SA businesses

Tier 1 — must optimize: ChatGPT, Google AI Overviews, Perplexity (~3 billion users/month combined). Tier 2 — should optimize: Gemini, Claude, Copilot (~1.5 billion users/month). Tier 3 — nice to have: Meta AI, niche engines like You.com, Phind (~700 million users/month).

For most SA businesses with limited time, focus 70% of GEO effort on Tier 1. 20% on Tier 2. 10% on Tier 3 and emerging platforms.

The signals that work across ALL 7 engines

1. Schema markup — Organization, LocalBusiness, Person, FAQPage, Article, BreadcrumbList
2. 40-60 word direct-answer blocks at the top of every key page
3. Inline statistics with source citations (3+ per important post)
4. Author bylines with credentials (Person schema linked)
5. Updated/fresh dates visible and in schema
6. Wikidata entry for your business
7. Consistent NAP across the web (50+ directories)
8. YouTube channel with transcripts (LLM training material)
9. Reddit/Quora presence (community citations are huge)
10. Industry directory listings (Clutch, GoodFirms, BBB, etc.)

Do these 10 things well and you'll see citations across all 7 engines within 60-120 days.

What NOT to do

Don't try to game one engine at the expense of others. The engines learn from each other. Wikipedia content trained ChatGPT, which influences Perplexity citations, which Gemini sees. Win one well = win the rest faster.

Don't write generic "we" content. AI engines prefer named entities. Say "Capture That Media" not "we." Say "Roger Wong-Won, AAF Gold Addy winner" not "our founder."

Don't ignore Reddit. 52.5% of all AI citations come from community platforms — and Reddit dominates that share.

Don't skip Bing/Microsoft. Bing serves 12% of US search volume but its weight in Copilot citations is disproportionately high.

Don't forget YouTube transcripts. YouTube transcripts are LLM training gold.

FAQs

Which AI engine should I prioritize first?

Perplexity for proof of concept (strictest citation requirements). Then ChatGPT for volume (800M weekly users). Then Google AI Overviews for commercial intent.

Do I need to optimize differently for each engine?

70% of the signals overlap (schema, content quality, freshness, entity authority). 30% is engine-specific (Reddit for ChatGPT, Wikidata for Gemini, news media for Claude, LinkedIn for Copilot, Meta profiles for Meta AI).

Will AI Overviews kill my organic Google traffic?

For top-of-funnel informational queries, yes — clicks decline. For commercial-intent and local queries, your AI Overview citation can drive clicks. Net effect varies.

How do I get into Gemini specifically?

Gemini overlaps with Google's broader systems. Strong technical SEO + Wikidata entry + GBP optimization + schema markup are the top moves.

Is Meta AI worth optimizing for?

For B2C and local consumer businesses (restaurants, retail, services), yes. For B2B / enterprise, less so. Meta AI is rapidly growing but commercial intent is lower.

About the author

Roger Wong-Won, founder of Capture That Media.

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