Odyssiant AI Search Data Desk
Odyssiant tracks how AI engines answer buyer questions across sectors, products and decision journeys. We can provide data, commentary and examples for journalists covering AI search, SEO, marketing, B2B buying and digital visibility.
What we can provide
Odyssiant can support journalists and researchers with examples, commentary and directional data on how AI engines respond to commercial buyer questions.
Stage-by-stage AI answer examples
Examples of how AI engines answer buyer questions across different stages of the buying journey.
Brand, product and competitor comparisons
Comparisons of how brands, products and competitors appear in AI-generated answers.
Source and citation patterns
Where AI engines draw evidence from when answering commercial buyer questions.
Commentary on AI search and AEO/GEO
Commentary on AI visibility, answer engine optimisation, generative engine optimisation and the changing role of SEO.
Product-level visibility gaps
Examples of product-level visibility gaps that may not appear in traditional search reporting.
Sector-specific observations
Observations from sectors where Odyssiant has relevant audit data.
Example findings we track
Odyssiant looks beyond whether a brand is mentioned. We analyse how AI answers frame products, services, competitors, proof points and sources across the buyer journey.
- Which companies are mentioned, recommended or omitted in AI answers
- Whether AI engines understand what a product or service actually does
- Whether answers use a company's own positioning or rely on third-party sources
- Which sources are cited most often in AI-generated recommendations
- Where competitors appear stronger because they have clearer evidence, reviews, case studies or category content
- Where AI answers create friction, uncertainty or incorrect assumptions about a brand
Sectors we can discuss
Odyssiant is especially relevant where buyers research complex products, services or suppliers before speaking to sales.
How the data is produced
Odyssiant audits how AI engines answer structured buyer questions. Prompts are built around products, services, buyer profiles, research contexts, themes and buying-stage intent. The system then analyses answer presence, answer quality, competitor visibility, citations, evidence signals and buyer-journey performance.
The purpose is not to predict one perfect AI answer. It is to identify repeated patterns across a body of answers so that marketers can understand how their products, propositions and competitors are represented in AI search.
Data availability depends on the sector, product, audit scope and whether findings can be shared publicly.
Founder commentary
Aly Richards, founder of Odyssiant, can provide commentary on AI visibility, answer engine optimisation, generative engine optimisation, product visibility in AI search, and how B2B buyers are using AI engines during research and supplier selection.
- Why SEO and AI visibility are not the same thing
- Why product-level AI visibility matters for B2B companies
- How AI engines use third-party evidence when answering buyer questions
- Why brands may be visible in Google but absent from AI answers
- What marketers should measure as AI search changes buyer behaviour
Selected Odyssiant studies
Public analysis from Odyssiant on AI visibility, AI search behaviour and the sources shaping AI-generated answers.
What sources do AI answers cite?
Odyssiant analysed 5,356 AI-generated answers to understand which sources AI engines draw on during buyer research.
Read the studyProduct visibility vs brand visibility in AI search
Why brand-level visibility can make a company feel visible while its products, services and solution areas remain absent from buyer research.
Read the studyThe AI buyer journey visibility gap
How visibility changes across the buyer journey, and why brands may appear at one stage but disappear at another.
Read the studyWhat AI search means for marketing teams
How AI search is changing buyer discovery, comparison and shortlisting, and what marketing teams need to change in response.
Read the studyRequest data or commentary
If you are writing about AI search, SEO, marketing, B2B buying behaviour or digital visibility, Odyssiant may be able to help with commentary, examples or directional data.
Complete the form below to create a request.