The common belief is that AI Overviews and PAA coexist on the SERP as complementary features. The current data partially supports this: Semrush’s study of 10M+ keywords found PAA appears alongside AI Overviews in 90% of cases. But the relationship is more nuanced than simple coexistence. AI-generated content is now appearing within PAA answer boxes themselves, replacing the traditional attributed web page excerpts. This means PAA boxes may persist visually on the SERP while the traffic value they deliver to publishers erodes from the inside. Understanding this displacement pattern is essential for any team investing in PAA optimization.
The Displacement Mechanism: How AI Overviews Absorb PAA Functions
The displacement of PAA by AI Overviews does not follow the expected pattern of one feature replacing another. Instead, three distinct displacement mechanisms operate simultaneously.
Direct absorption occurs when the AI Overview itself addresses questions that would otherwise appear in the PAA box. AI Overviews frequently incorporate related question-answer pairs inline, covering the same information gaps that PAA questions target. When Google determines that the AI Overview has sufficiently addressed these related questions, it may reduce the PAA question count or position the PAA box further down the page.
Internal infiltration represents the most significant shift. Google has begun replacing traditional PAA answers (extracted from web pages with source attribution) with AI-generated answers within the PAA box itself. Observers have documented AI Overview content appearing as PAA answers, fundamentally changing the feature from a traffic-driving mechanism to another zero-click surface. When a PAA answer is AI-generated rather than page-attributed, no source receives the traffic that the expanded PAA answer would have driven.
Positional displacement pushes PAA boxes below the fold when AI Overviews occupy the top SERP position. AI Overviews typically consume 300-600 pixels of screen real estate. On mobile devices, this pushes the PAA box below the initial viewport. While the PAA box still exists, its visibility and interaction rate drop because users must scroll past the AI Overview to reach it.
These three mechanisms explain why aggregate PAA prevalence data shows growth (PAA boxes still appear on 50-70% of SERPs) while the traffic value of individual PAA appearances may be declining for specific query categories.
Query Categories Experiencing the Highest PAA Displacement Rates
Displacement impact varies significantly by query type, and the pattern aligns with AI Overview deployment priorities.
High displacement risk: simple factual queries (“what is the population of France”), definition queries (“what is machine learning”), and process queries with established canonical answers (“how to boil an egg”). These queries have single authoritative answers that AI can synthesize reliably, reducing the informational value of PAA follow-up questions. Google’s confidence in providing a comprehensive AI answer for these queries makes PAA supplementary at best.
Medium displacement risk: health and medical queries, financial information queries, and YMYL topics generally. Google has deployed AI Overviews cautiously in YMYL categories due to accuracy liability, but when AI Overviews do appear for these queries, they tend to absorb the PAA questions most directly because users seeking health or financial guidance benefit from consolidated answers rather than multiple question-answer pairs.
Low displacement risk: subjective and opinion-based queries (“best laptop for video editing”), comparison queries (“React vs Angular for enterprise”), local intent queries (“restaurants near me”), and queries with diverse valid perspectives. AI Overviews handle these less definitively because no single answer satisfies all users. PAA boxes persist more reliably for these queries because the question tree serves a genuine exploration function that the AI Overview cannot fully replace.
The pattern: the more definitively a query can be answered by a single comprehensive response, the higher the PAA displacement risk. Queries requiring exploration, comparison, or perspective diversity retain PAA more consistently.
The Traffic Impact When PAA Visibility Shifts to AI Overview Citations
When your content previously appeared as a PAA source and that function shifts to AI Overview coverage, the traffic outcome hinges on whether your page receives citation within the AI Overview.
Best case: your page is cited as a source within the AI Overview that addresses the question your PAA attribution covered. AI Overview citations provide some visibility, but click-through rates on AI Overview source citations run dramatically lower than PAA expansion clicks. Research indicates only approximately 1% of users click on sources cited within AI Overviews, compared to the 2-5% CTR on expanded PAA answers. The visibility persists, but the traffic drops by 50-80% or more.
Worst case: the AI Overview addresses the question without citing your page, and the PAA box either disappears, moves below the fold, or switches to AI-generated answers. In this scenario, both the PAA traffic and the citation visibility are lost entirely.
Neutral case: the PAA box persists alongside the AI Overview with your source attribution intact. This occurs most often when the AI Overview addresses the main query but does not cover the specific PAA question in detail. In this case, your traffic from PAA is unaffected, though the PAA box’s lower SERP position may reduce interaction rates.
Measuring this impact requires comparing PAA-attributed traffic for specific questions before and after AI Overview deployment for the triggering query set. Because Google Search Console does not separate PAA clicks from organic clicks, the measurement proxy is monitoring total clicks from the triggering query on days when AI Overviews are present versus absent (using SERP tracking tools to log AI Overview presence).
Adapting PAA Strategy to Focus on Displacement-Resistant Query Categories
A forward-looking PAA strategy concentrates effort on query categories where PAA retains both presence and traffic value alongside AI Overviews.
Prioritize comparison and evaluation queries. These query types generate PAA questions that explore different perspectives, tradeoffs, and use-case-specific recommendations. AI Overviews provide general comparisons but cannot replace the exploratory function of PAA question trees that let users navigate to the specific comparison dimension they care about.
Prioritize queries with diverse intent. When a query serves multiple user intent segments (a single keyword that could be informational, commercial, or navigational depending on the user), PAA questions serve different intent segments. AI Overviews target the dominant intent, leaving PAA to serve alternative intents. Your PAA optimization should target the questions serving non-dominant intent segments.
Prioritize long-tail and niche queries. AI Overviews appear on approximately 15-25% of search result pages (the rate has fluctuated throughout 2025). Long-tail queries with lower search volumes are less likely to trigger AI Overviews because Google prioritizes AI Overview deployment for high-volume, high-confidence queries. The long-tail PAA opportunity remains largely unaffected by AI displacement.
Deprioritize definitional and simple factual PAA targets. These are the first questions absorbed by AI Overviews and the first to switch to AI-generated PAA answers without source attribution. Time spent optimizing for these questions will produce diminishing returns as AI coverage expands.
Why Monitoring PAA Presence Must Become a Standard Reporting Metric
PAA displacement is not happening in a single update. It rolls out incrementally by query category, geography, and device type. Teams that do not track PAA presence and source attribution as time-series metrics will miss the gradual erosion of a visibility channel they depend on.
The monitoring framework should track three metrics monthly. PAA prevalence rate: what percentage of your tracked keywords display PAA boxes? This catches outright PAA removal. PAA source attribution rate: of the PAA questions that appear, what percentage attribute your pages as the source? This catches source loss without PAA removal. PAA answer type: of the PAA answers attributed to any source, what percentage display traditional web page excerpts versus AI-generated answers? This catches the internal infiltration displacement that preserves PAA visual presence while eliminating traffic value.
Establishing baselines for these metrics now and tracking monthly enables early detection of displacement trends within your specific keyword portfolio, allowing strategic pivots before traffic losses accumulate unnoticed.
Does being cited in an AI Overview compensate for losing PAA source attribution on the same query?
Not equivalently. AI Overview citation click-through rates run approximately 1% compared to 2-5% for expanded PAA answers, representing a 50-80% traffic reduction even in the best case. The visibility persists through brand mention within the AI Overview, but the direct traffic value is substantially lower. Teams should treat AI Overview citations as a partial offset, not a replacement, for lost PAA traffic.
Are PAA boxes disappearing from SERPs, or is the displacement happening inside the PAA format itself?
The primary displacement is internal, not structural. Aggregate data shows PAA boxes still appear on 50-70% of SERPs, and PAA prevalence has actually grown. The shift is that AI-generated answers are replacing attributed web page excerpts within PAA boxes for certain query types. The PAA box persists visually, but the traffic-driving mechanism is hollowed out when no source page receives attribution for the AI-generated answer.
Should sites stop investing in PAA optimization entirely because of AI Overview expansion?
No. AI Overviews currently appear on roughly 15-25% of search result pages, leaving the majority of queries unaffected. PAA boxes with traditional source attribution remain functional for comparison queries, subjective topics, long-tail queries, and multi-intent keywords. The correct response is shifting PAA investment toward displacement-resistant query categories rather than abandoning the channel entirely.
Sources
- Semrush AI Overviews Study: What 2025 SEO Data Tells Us – Semrush — Data on PAA and AI Overview coexistence rates across 10M+ keywords
- Google AI Overview Within People Also Ask – Search Engine Roundtable — Documentation of AI-generated content appearing within PAA boxes
- From People Also Ask to AI Search: Reading the Signals That Matter – Advanced Web Ranking — Analysis of PAA evolution and AI Overview integration patterns
- The SERP Landscape for 2026 – The Digital Maze — SERP feature trend data and displacement forecasts
