AI SEO + AEO + GEO
Make your brand understandable, verifiable and useful to AI search.
Short answer
AI search optimization improves how answer engines understand, cite and recommend a brand. The work combines technical SEO, answer engine optimization (AEO), generative engine optimization (GEO), entity clarity, evidence and independent authority.
Editorial review: odak agency strategy team · Updated Sep 14, 2026
Approach
We design the service around the business outcome.
We benchmark real customer questions across answer engines and record brand mentions, domain accuracy, recommendation position and source citations.
We align organization, service, team, location, expertise and contact facts into a consistent entity graph, then produce clear definitions, FAQs, comparisons and evidence-backed case studies.
No agency can guarantee an AI recommendation. We repeat the same prompt set over time and measure visibility and citation rates as a time series.
Scope
Tangible project outputs
Brand and entity conflict audit
Organization and Service knowledge graph
Citation-ready expert content
External citation and digital PR plan
Monthly ChatGPT, Gemini and Perplexity tracking
Step by step
Our process
- 1Prompt and intent set
- 2Entity and source audit
- 3Content and schema improvements
- 4Independent evidence building
- 5Repeated measurement and comparison
Frequently asked questions
Before you decide
Are GEO and SEO the same?
No. SEO focuses on crawling, relevance and classic rankings; GEO focuses on how generative systems understand, mention and cite a brand. They share strong technical and content foundations.
Can you guarantee first place in ChatGPT?
No. Results vary by user, model, date and source set. We improve measurable signals and track a fixed benchmark.
Is llms.txt enough?
No. It can help discovery, but it cannot replace crawlable pages, structured data, real brand evidence and independent citations.
Related resources
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