To isolate searches initiated with an image, select the multimodal search type in Search Console’s Search results or Generative AI performance report, then click Export. Google includes Lens, Circle to Search on Android, image uploads to Google Search, and image searches from Chrome’s context menu in this segment.
If your platform lets users create shareable pages, first decide whether those pages are intended for search discovery. Google recommends applying noindex or blocking crawling by default for pages created for direct sharing, collaboration, or utility. Separately monitor unexpected growth in indexable publications, indexed pages, and unrelated search queries.
Consider applying to Google’s UGC Fresh Data Program if your platform has a high volume of user-generated content and a significant audience, dedicated public content pages, public creator profiles, and active moderation. You also need the capacity to transmit structured data and keep engagement signals current. Meeting the published criteria supports an application-readiness assessment; it does not establish acceptance or guarantee appearance in Google Search.
In VideoObject, identify the person or organization that created or published the video through creator or author. For statistics, use InteractionCounter with an action type and its corresponding integer userInteractionCount: WatchAction for views, LikeAction for likes, CommentAction for comments and ShareAction for reshares. This is documented markup support; the source does not establish that adding counters improves rankings.
In this article: GEO — generative search optimization; SEO — search engine optimization. A Sponsored Agent is an advertising flow that starts after an ad interaction; it does not prove that independent ChatGPT would mention, recommend, or link to the brand. Here GEO (generative-answer visibility) means brand visibility in generative answers, while SEO (search-engine optimization) means work that helps a site perform in ordinary search. OpenAI describes a test for select advertisers in the United States, but publishes no independent reach, cost, conversion, or organic-impact evidence. The correct design therefore has two separate funnels: paid session activity and organic visibility.
A large audit found that Reddit Answers does not neutrally compress a discussion; it applies successive filters. Researchers ran 10,000 queries three times. Sources often changed between repeats, while the system selected already-visible, top-level, formally written comments more often. Lived experience was selected less often, and first-person markers nearly disappeared in the final synthesis. This is an observation about one system and a defined set of communities, not a universal rule for every AI search product or a recipe for higher rankings.
Google Merchant Center lets merchants add optional conversational attributes: extra product facts such as an answer to a common user query, a document link, or a relationship to another product. Google says these details help AI systems understand product nuances; they do not replace the main product record. In a September 16 publication, Google reports one lululemon test in which brand-submitted attributes were incorporated into 50% of relevant product recommendations in AI Mode. Google does not publish the sample size or the total number of recommendations measured on that page, so this is an observation from one test, not evidence of a universal ranking, display, source credit, link, click, or purchase benefit for every merchant.
Perplexity officially describes several distinct source contexts: the open web, organization files during a migration period, built-in licensed collections, subscription-backed data connectors, and answers without external sources. A missing public link in one answer therefore cannot be treated automatically as lost website visibility; first record which source context and access rights shaped the run.
This week’s central finding is that technical access and ordinary search eligibility remain foundations for AI discovery, while page request, impression, source link, and referral are different events. New reporting is useful only when every metric has its own definition, period, and data source.
Google described dedicated reporting for AI Overviews and AI Mode. It helps observe impressions and clicks inside Google Search, but it does not reveal a ranking score, the complete source set, or a causal link between a page change and an answer appearance.
Perplexity documents PerplexityBot for search crawling and Perplexity-User for requesting pages a page in response to a user request. A matching User-Agent and official IP help classify the page request, but neither role alone proves that the page appeared as a link in an answer.