Perplexity Photon Speeds Retrieval but Does Not Explain Citations
Perplexity’s Photon infrastructure and Fast Search mode change retrieval speed and cost. Neither explains which sources become citations, so a paired benchmark is still required.
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News, analysis, guides, and research about AEO, GEO, AI answers, citations, retrieval, technical eligibility, entity clarity, and measurement.
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Changes to AI answers, source citations and publisher discovery.
Perplexity’s Photon infrastructure and Fast Search mode change retrieval speed and cost. Neither explains which sources become citations, so a paired benchmark is still required.
A controlled AI-search replay found more citation markers for structured source text, but no clear gain in whether a source was cited at all. Here is what publishers should measure.
A product-advice preprint found no shared displayed source domains in 76.7% of matched ChatGPT and Gemini checks. What the test means for AI visibility audits.
A CMA proposal could let general-purpose AI assistants qualify for UK search choice screens if they meet search, safety and source-attribution requirements.
Perplexity reduced tool failures with selected correction traces, but the strongest online comparison did not show a significant satisfaction gain.
Re:CAP recovered relevant documents missed by flat retrieval, including gaps left by a 1,500-candidate ensemble. That changes how retrieval coverage should be audited.
A 500-query bilingual study found high answer similarity but very low cited-host overlap between Baidu and Google AI overviews.
Anthropic documented a coordinated network of fabricated news sites, paired social accounts and rigid publishing constraints. The useful lesson is the network footprint, not a guess about whether one paragraph sounds AI-written.
The limited Discover experiment adds a topic overview between some video cards and related web stories. Its effect on publisher clicks remains unmeasured.
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