Traditional results and an AI answer
Traditional results direct people to individual pages. An AI answer can summarise information and present sources in a different arrangement. A position in a result list and use as a source are therefore distinct observations.
Record positions and citations separately, alongside the query, market and date. A screenshot is a useful record of a particular check. Another user or a later check may see a different result.
What changes
A visitor may receive part of an answer before opening a website. That changes the context of the next action: comparison, source checking or a more specific search. Traffic changes need to be tracked for the topic itself.
Check actual visits and actions by page and period. Distinguish a change in result presentation from a change in demand. Without comparable data, a decline or increase cannot reliably be attributed to AI Overviews.
Crawlability and accessibility
Core text should be accessible and understandable without decorative visualisations. Check page status, crawl rules, canonical URLs and internal links. Blocked or ambiguously accessible information is a weak foundation for organic discovery.
Indexing and use in an AI answer are separate platform decisions. Technical eligibility is not a promise of appearance. Do not remove protections from private or internal pages merely to expand crawler access.
Clear entities and original information
Describe consistently who is speaking, what the subject is and which evidence supports the text. Separate definitions, observations and interpretations. Original analysis is useful when readers can trace its reasoning.
Structured data should match visible information. We have no basis for presenting special “AI schema” as a requirement or guarantee. llms.txt can serve as a reference index but is not an established ranking-boost mechanism.
What is reasonable to measure
Track discoverability, observed citations, visits and business actions separately. Use consistent queries, markets and observation methods for comparisons. State the limits of the sample.
Repeat the check under comparable conditions to see whether the observation persists. A single result is a snapshot. Unchecked cases remain unknown.
The relationship to BEO
Within BEO, SEO, content, structure and measurement are connected to business context. AI Search adds another discovery environment to this work. Technical foundations and customer needs remain the starting point.
A practical first step is checking the accessibility and clarity of important pages, followed by documented observation of specific questions. The findings of the check guide the next actions.
Sources
We read official public guidance alongside our work in SEO, BEO and AI Search. The sources explain the technical framework; the team’s experience helps us apply it to a business context.
- Google Search Central — AI features and your website
- Google Search Central — Creating helpful, reliable, people-first content
- OpenAI — Overview of OpenAI crawlers
Corrections and updates
We keep Research resources up to date and correct factual errors when we find them. A material change to the sources, methodology or our interpretation receives a new update date.
For corrections or feedback: office@z-consult.bg
