Generative Engine Optimization

GEO - when your buyers ask AI, do you get mentioned?

SEO and GEO are two separate games that need different optimization. Ranking top-3 on short keywords doesn't guarantee that ChatGPT recommends you when someone asks something long and conversational.

Or book a 30-min demo directly.

SEO 70 percent vs GEO 0 percent
Average visibility gap for Swedish ecommerce brands. n=42, April 2026.

Two visibility games run in parallel

SEO and GEO measure different search behaviour. Buyers who used to start in Google increasingly start in AI chats - and old SEO signals matter less there.

SEO

Traditional keyword ranking

Measured in position 1-10 on Google for short keyword phrases. Driven by on-page optimization, backlinks and technical SEO. Still delivers traffic - but increasingly from intent that AI has already filtered.

GEO

AI conversational recommendation

Measured as the share of prompts where the AI mentions your brand when asked for a recommendation. Driven by brand-mention density, structured data, citable content and the AI reference corpus.

Gap

Why SEO doesn't auto-win #2

AI models blend training data, RAG retrievals and time windows in ways that don't map 1:1 to Google SERP. Pillar content not indexed where the AI fetches - or missing JSON-LD - often gets no mentions despite strong SEO.

Comparison of SEO and GEO (Generative Engine Optimization)
DimensionSEOGEO
GoalRanking in Google's link list (positions 1–10)Being mentioned and recommended in AI answers
Measured asPosition + organic trafficShare of prompts with a brand mention in the category
Driven byOn-page, backlinks, technical SEOBrand-mention density, JSON-LD, citable content, reference corpus
ChannelsGoogle SERPChatGPT, Gemini, Google AI Overviews, Perplexity
Optimized withKeywords, link building, Core Web VitalsStructured data, pillar content, FAQ schema, llms.txt

Four steps from probing to revenue

  1. 01

    Daily probing

    Probes Gemini, ChatGPT (gpt-5.4-nano) and Google AI Overviews daily - short plus long prompts.

  2. 02

    Gap analysis

    Analyses the gap vs competitors and identifies where AI fails to associate the brand with the category.

  3. 03

    Action items

    Generates concrete actions (pillar content, JSON-LD, FAQ schema, llms.txt) - always manually reviewed.

  4. 04

    Business impact

    Measured in Shopify/WooCommerce - AI-attributed orders, revenue and conversion rate.

What you actually see in geo-dashboard

Synthetic demo data from Demo Coffee Roaster AB. No customer information shown.

The dashboard includes overview with long-prompt visibility per AI engine, optimizations task cards with JSON-LD diff, competitor tracking timeline with pixel diff, and business impact with AI-attributed orders and revenue.

How the data is generated

AI visibility - Programmatic probes against Gemini API, OpenAI Responses API and Google AI Overviews. Results are point-in-time snapshots and may vary between runs.

Competitor tracking - Weekly Playwright screenshots, pixelmatch diff. Cookie banners stripped heuristically - visual noise may occur.

Content overlap - 5-gram Jaccard on normalised text. Detection identifies overlap, not plagiarism - shared industry terminology triggers matches.

Business impact - Last-touch attribution via referrer plus UTM. AI answers without click-through aren't captured.

Action items - AI-generated by Claude (Haiku class), always manually reviewed before implementation.

GEO — frequently asked questions

What is GEO (Generative Engine Optimization)?

GEO is the practice of making a brand citable and recommended in answers from generative AI engines such as ChatGPT, Google Gemini, Google AI Overviews and Perplexity — as opposed to SEO, which optimizes for ranking in Google's classic link list. GEO is measured as the share of AI prompts in which the brand is mentioned in its category.

What is the difference between GEO and SEO?

SEO optimizes for positions 1–10 in Google's link list via on-page work, backlinks and technical SEO. GEO optimizes for being mentioned in AI-generated answers, driven by brand-mention density, structured data (JSON-LD), citable content and presence in the models' reference corpus. Strong SEO does not guarantee AI mentions.

How do you measure AI visibility?

By programmatically probing AI engines (Gemini API, OpenAI Responses API, Google AI Overviews) with category-relevant prompts, daily. You measure the share of answers in which the brand is mentioned, compare against competitors and track change over time.

Which AI engines does Adminor's GEO service cover?

ChatGPT (OpenAI), Google Gemini, Google AI Overviews and Perplexity. Probing runs daily with both short and long prompts.

Does a GEO audit cost anything?

No, an initial GEO audit is free. You can quick-check a domain instantly for instant results, or book a 30-minute strategy call for a deeper review with action items and a quote.

Ready to see what AI answers look like for your brand?

Book a 30-min strategy call — we walk through your AI visibility and deliver a tailored action plan + quote. Or quick-check a domain directly — instant result, sharable URL.