Not found in ChatGPT/Perplexity
Visibility for the LLM era: How your brand gets cited in generative answers, instead of getting stuck in organic ranking decline.
Background
How research behavior is shifting right now
In 2023, research meant a list of Google hits the user manually skimmed. In 2026, research is often a direct answer: ChatGPT, Perplexity, Gemini or Google AI Overviews deliver three to five providers with pros and cons. Clicking a link is increasingly optional.
For brands, that means a new discipline: Generative Engine Optimization (GEO). The goal: to be named in the answers, not just rank in the organic index. Whoever isn't present here has often already lost the first pitch before they can even make it.
Three mechanics determine whether you appear in LLM answers: pre-training data (are you mentioned in the training sources?), retrieval-augmented generation (live search results during the query), and structured data (Schema.org, FAQ markup, llms.txt).
More on this in the insight “GEO vs. SEO” — here it's about the concrete implementation for your brand.
Common questions
What brand and marketing leads ask
Isn't this just another SEO hype?
Partly. But empirically, LLM research is a real traffic channel in 2026. Brightedge reports up to 25% search-volume loss on classic SERPs in some industries — volume that ends up in LLM answers. That's measurable, not speculative.
Can I abandon my existing SEO setup?
No, the opposite. SEO is the foundation for GEO — RAG engines read from search indexes. Whoever doesn't have good SEO won't end up in LLM answers either. GEO is an extension of the existing setup, not a replacement.
How do I measure whether this even helps?
With tools like Profound, Otterly or Mentioned. They systematically simulate typical user queries against ChatGPT/Perplexity/Gemini and track when your brand appears. Plus indirect signals like referral traffic from Perplexity or ChatGPT outbound clicks.
Is it worth it for my brand size?
Yes, especially for mid-sized brands. LLM answers often don't feature the top-5 brands, but the structurally best-marked-up sources. Whoever invests early in GEO pushes ahead of larger competitors who still ignore the topic.
Sound familiar?
Typical situation
If even just one of these applies to you, you should take your LLM visibility seriously.
- ✓You ask ChatGPT about your own industry category — and either don't make the list, or appear with wrong statements.
- ✓Competitors smaller than you get named in LLM answers.
- ✓Your SEO setup is solid, but organic traffic is stagnating — perhaps because queries are migrating to LLMs.
- ✓You have no schema markup at all, or it hasn't changed since 2022.
- ✓You hear “GEO” everywhere but don't know what concretely to do.
My approach
5 phases, in 6–10 weeks
Phase 1 is the success guarantor — the baseline measurement shows where your brand stands today and which levers bring the fastest effect. Without a baseline, you measure nothing afterwards.
PHASE 01
LLM baseline & visibility audit
We test 30–50 typical brand queries against ChatGPT, Perplexity, Gemini. Where are you? Who gets named instead? Which competitors dominate? A clear baseline.
PHASE 02
Schema & structure audit
What schema.org markup does your site have? Author properties? FAQ markup? llms.txt? What's missing, what's outdated, what needs to be rebuilt.
PHASE 03
Content & authority plan
Which topic clusters should you own so LLMs link your brand with the right answers? Comparison content, definitions, listicles in your domain.
PHASE 04
Implementation: schema, llms.txt, author pages
Concrete site adjustments. Schema markup, author pages with verification, llms.txt with clear source recommendations, FAQ markup for critical topics.
PHASE 05
Monitoring setup & hand-off
Profound or Otterly set up, weekly reporting, alert setup when the brand mention rate drops. Plus: training for your content team so new content is produced GEO-compliant.
Tools & stack
What's used
Monitoring
Profound or Otterly
Track brand mentions in LLM answers.
Markup
Schema.org + llms.txt
Structured data that LLMs prefer to cite.
Content audit
Sistrix + Ahrefs + manual
Where your brand is mentioned in industry sources.
Validation
Direct LLM queries
Weekly samples against real query patterns.
Timeline
Recommended as a 3-month engagement with ongoing quarterly review.
My offer
Intro call — free, 45 minutes
Visibility check in real time: together we test your top brand queries against ChatGPT and Perplexity, identify the three most important levers and decide whether a larger engagement makes sense.
Included
- ✓Where your brand stands in LLM answers today (live test)
- ✓Which competitors are currently winning — and why
- ✓Which three levers have the fastest effect
- ✓A realistic effort estimate
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