SEO vs GEO — what's actually different
Traditional SEO is about ranking in Google's list of search results. You optimize your website so that when someone searches "Japanese restaurant Frisco TX," your site appears near the top of the page.
GEO is about appearing in AI-generated answers. When someone asks ChatGPT the same question, the AI doesn't return a ranked list of links. It generates a direct answer — "For Japanese food in Frisco, you might try..." — and names specific restaurants. The question is whether your restaurant gets named, or someone else's does.
What actually affects GEO for a restaurant
- Review volume and recency. AI tools pay attention to how many reviews you have and how recent they are. A restaurant with 400 recent reviews signals it's actively operating and well-regarded.
- FAQ content on your website. When someone asks an AI a specific question — "does this restaurant have vegetarian options?" — the AI looks for pages that directly answer those questions.
- Structured data (Schema.org). Code embedded in your website that explicitly tells search engines and AI tools what your business is, where it is, what it serves, and when it's open. Most restaurant websites in DFW don't have it.
- Consistent NAP across all platforms. Name, address, phone number — identical everywhere: Google, Yelp, Apple Maps, Bing, your own website. Inconsistencies create uncertainty for AI tools.
- An owned website. This is the foundation. AI tools can reference your Google Business Profile and reviews — but an owned website gives them a primary source to pull from.
What this looks like in practice
Consider two Japanese restaurants in Plano. Both have similar food quality and Google ratings. Restaurant A has an owned website with a full menu, an FAQ section, structured data, and consistent information across all platforms. Restaurant B has a Facebook page and a GBP but no website.
When someone asks ChatGPT "good Japanese restaurant in Plano," Restaurant A is significantly more likely to appear — not because the food is better, but because the AI has more reliable, structured information to work with.
GEO is not a guarantee
No one can guarantee placement in AI-generated answers. The algorithms change. What we can say is that having the right foundation meaningfully increases the likelihood — and that restaurants without these things are at a measurable disadvantage.
How UNA Consulting handles GEO
GEO readiness is built into every site we produce. FAQ schema markup, Restaurant structured data, consistent NAP across major platforms, and content structured to answer the specific questions AI tools look for. It's not a separate service or an add-on. It's how we build.
SEOとGEOの違い
従来のSEOは、Googleの検索結果リストでの順位を上げることです。GEOは、AIが生成する回答の中に出てくることです。「Friscoで日本食なら……」と直接答えを生成し、具体的なレストランを名指しします。あなたのお店が名前を挙げられるか、それとも他のお店が挙げられるか。それがGEOの問いです。
レストランのGEOに実際に影響するもの
- 口コミの数と新しさ。AIツールは口コミの量と新しさを重視します。
- ウェブサイト上のFAQコンテンツ。「ベジタリアン向けメニューはありますか？」——AIはその質問に直接答えているページを探します。
- 構造化データ（Schema.org）。お店の業種・所在地・提供内容・営業時間を機械が読める形で埋め込むコードです。DFWのほとんどのレストランサイトには、これがありません。
- 全プラットフォームでのNAP統一。店名・住所・電話番号——Google・Yelp・Apple Maps・Bing・自分のウェブサイト、全て同一でなければなりません。
- 自分のウェブサイト。これが土台です。ウェブサイトのないレストランは、AI検索で大きなハンデを負います。
GEOは保証ではありません
AI生成の回答への掲載を保証できる人は誰もいません。言えるのは、正しい土台——ウェブサイト・構造化データ・統一されたプロフィール・活発な口コミ——を持つことで出てくる可能性が大きく上がり、これらを持たないお店は測定可能なハンデを負うということです。
UNA ConsultingのGEO対応
GEO対応は、全ての制作サイトに標準で組み込まれています。FAQスキーマ・レストラン構造化データ・NAP統一・AIツールが探す質問に答えるコンテンツ構造が含まれます。別サービスでも追加オプションでもありません。これがUNA Consultingの作り方です。
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