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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Latest articles tagged “Perplexity”
Open an article for the complete method, evidence, limitations, and a focused reader discussion.
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What Perplexity’s Real-World Mistakes Experiment Actually Proved
Perplexity reduced tool failures with selected correction traces, but the strongest online comparison did not show a significant satisfaction gain.
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Perplexity Python Search SDK: What Is Open, What Is Compiled and How to Test It
Perplexity’s Python Search SDK offers live web search, fan-out and snippets. This audit separates the open wrapper, compiled core and measurable retrieval output.
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What Perplexity’s CobbleDB Reveals About AI Search Retrieval
Perplexity reports roughly 80% lower read latency after separating passage processing, publishing and hot retrieval. Here is what publishers can and cannot infer.
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Search and AI Changes: September 14-30, 2026
A source-led briefing on September search and AI changes, now including Cloudflare agent payments, Shopify AI checkout, OpenAI hosted browsing, Perplexity Fast Search and Claude retirement.
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Perplexity Premium Data Sources: Included and Licensed Access
Perplexity now documents included premium sources and licensed connectors. This access matrix separates plan eligibility, partner entitlements and citation inspection.
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Perplexity Citation Audit: When a Link Does Not Support the Number
We recalculated two public Perplexity citation files, separated row and claim denominators, and built a four-state audit for numerical source support.
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Perplexity SEO: Audit Crawlers, Citations, Referrals and Source Labels
Audit PerplexityBot and Perplexity-User separately, validate cited claims, capture source labels and connect detectable referrals to qualified outcomes.
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AI Search Ranking Factors: What Platforms Document—and What They Don’t
Separate documented eligibility and controls from practitioner observations and unknown source-selection mechanics before acting on ranking-factor claims.
