AI Search Optimization (AEO and GEO)
We get your crypto brand named when buyers ask ChatGPT, Perplexity and Google AI Overviews who to use. We build the pages, structured data and third-party citations those tools read, and we track what they say about you.
Who it is for: Funded Web3 teams whose buyers research tools in ChatGPT, Perplexity or Google and who want to be named in the answer.
AI answers pull from a short list of sources, so the work is getting your brand onto them.
Monthly
AI citation tracking
Which answers name your brand and which sources they cite.
50 to 150
Target queries
Mapped by buyer intent and the answer surface that serves it.
1 to 2 weeks
Onboarding sprint
Citation audit, query map and fix queue.
Weekly
Report
Rankings, citations and qualified traffic in one view.
AI Search Optimization (AEO and GEO)
What We Do
We work on your own site and on the sources language models read, then track the result.
01
Entity and answer pages
We write pages that state plainly who you are, what you do and how you compare, in the format answer engines quote.
- Entity and about pages
- Answer-ready FAQ blocks
- Comparison pages
- Glossary pages
02
Structured data and llms.txt
We add schema markup and an llms.txt file, and fix the crawl and indexation issues that keep your pages out of retrieval.
- Schema markup
- llms.txt file
- Crawl and index fixes
- Internal linking plan
03
Citations on sources models read
We place disclosed, useful contributions on Reddit, wikis, comparison posts and industry lists that models already cite for your category.
- Reddit program with disclosed participation
- Wiki and directory listings
- Comparison post outreach
- Source coverage map
04
AI citation tracking
We run your target queries through ChatGPT, Perplexity and Google AI Overviews each month and log what they say and which sources they cite.
- Baseline citation audit
- Monthly query tracking
- Competitor share of answers
- Weekly scorecard
AI Search Optimization (AEO and GEO)
How It Runs
We start from what AI tools say about you today and work back to the pages and sources behind it.
Step 01
Onboarding sprint, weeks 1 to 2
We run a baseline citation audit on your target queries, map the sources models use and agree a fix queue.
Step 02
Fix the foundation
Entity pages, schema and llms.txt go live, and technical issues that block retrieval are cleared.
Step 03
Build citations
We publish answer-ready content and run the Reddit, wiki and comparison-post work every week.
Step 04
Report and adjust
Each month we re-run the queries, show what changed and move effort to the sources that move the answers.
Surgence Labs case studies
Client Results
We have not published an AI citation case study yet. This is our search work, which the same pages and authority feed.
Programs that use it
Related services
Questions and next steps
Book an Intro Call
Share your domain and the questions buyers ask. We will audit what AI tools say about you today.
01How much does AI search optimization cost?+
We scope the work after an intro call. It runs as a one or two week onboarding sprint, then a monthly retainer, with growth spend on top that you approve. We do not publish a number because it depends on your category and how many queries matter.
02What is the difference between AEO and GEO?+
Answer engine optimization (AEO) aims to make your content the direct answer to a question. Generative engine optimization (GEO) aims to get your brand cited inside AI-written answers. We do both with the same pages and sources.
03Can you guarantee ChatGPT will mention us?+
No. Nobody controls what a model says. We improve the pages and sources it reads, then measure what changes each month.
04Is this different from crypto SEO?+
It overlaps. SEO targets Google rankings, and AI search optimization targets the answers written by ChatGPT, Perplexity and AI Overviews. We often run both together.
05Where can I learn more?+
We publish the Web3 AI SEO Guide at /guide/web3-ai-seo-guide, which covers the method in detail.