RESONEO's analysis of 1,200 ChatGPT answers reveals three distinct retrieval layers—OpenAI's own index (labrador), cached Google results, and live-fetched pages—each with different staleness and citation rules.

Ahrefs tracked 963 domains after AI Overviews rolled out in France and found the most-exposed sites lost 23.1% of click-through rate within nine days.

A nine-month analysis of 51,000+ AI Overview events reveals that 22.4% of that traffic is misattributed to Direct in GA4, AI Overview prominence is volatile, and Google favors structured, specific content.

Aleyda Solis's analysis of 15 leading brands shows AI search relies on external sources for 70–82% of top citations, making digital PR and social presence as critical as owned-site content.

SE Ranking's analysis of 100,000 French searches shows AI Overviews appearing on over half of queries, with YouTube and Facebook among the top cited sources.

Ahrefs' research shows AI Overviews now display on 83% of branded search queries, potentially diverting clicks away from brand websites to third-party sources.

MIT and Stanford research demonstrates that AI agents can exploit and manipulate SEO metrics, requiring teams to adopt metrics resistant to gaming.

A consultant's two controlled GEO experiments across multiple AI platforms reveal that listicles plus PR, source authority, and exact-match keyword targeting outperform conventional advice—and that one popular theory didn't hold in the second test.

Search Engine Journal and Trendos analyzed citation patterns across 107 million AI-generated answers to reveal which sources get credited most by industry.

Search Engine Land analyzed 60,000 queries and found listicles still appear in 55% of top-10 results, but their performance depends heavily on query intent and whether they're self-serving or publisher-created.

Search Engine Land analyzed 1.8 million Google Business Profiles and found that specific primary categories, aligned additional categories, and higher profile completeness all correlate strongly with better local rankings.

New research from Fractl finds 81% of marketers still call AI search optimization 'SEO' internally, and vendors' credibility hinges far more on case studies and methodology than on terminology fluency.

A logged study of ChatGPT, Perplexity, and Gemini responses to ten buyer queries found the three engines cited 104 different sources across 30 answers with almost no overlap, each using fundamentally different recommendation logic.

Steady Demand's study of 14,472 local queries found Gemini cites business websites in nearly 60% of results, but AI recommendations are inconsistent—repeating the same query yields different top business suggestions 93% of the time.

Analysis of 1,750 ChatGPT and Perplexity answers shows Perplexity cites brand sites 2.6× more often than ChatGPT on discovery prompts.

A controlled experiment published in Search Engine Land found that AI search crawlers and Google's indexing bot fail to follow JavaScript-injected links, making JavaScript-dependent navigation a critical visibility problem across AI search and organic results.

iPullRank's analysis of 13.1 billion searches shows ChatGPT receives more paid clicks from Google than any other top destination, suggesting paid search is becoming a key channel between Google and AI tools.

Fractl's analysis of AI model brand recall found that traditional SEO authority doesn't guarantee visibility in LLM answers—third-party coverage and category alignment matter more.

Analysis of over 331,000 pages shows Google ranks AI-generated content successfully when quality is high, not based on AI origin alone.

Ahrefs analyzed 331,000 ranking pages and found that 5.3% of top-3 results are fully AI-generated, suggesting Google penalizes poor content quality regardless of origin, not AI use itself.

A landscaping-focused agency tested whether adding LocalBusiness schema markup boosts rankings in a controlled 10-week study across 29 clients and multiple search engines.

An audit of 71 Canadian businesses found that AI search systems can verify only 16% of business identity on average, due to technical and structural gaps most businesses can fix.

SaaS brands earn 84–93% of AI search citations from third-party sources, with ChatGPT and AI Mode relying on fundamentally different evidence ecosystems requiring separate distribution strategies.

SE Ranking's analysis of 50,000+ keywords reveals ads appear in nearly one-third of commercial AI Mode queries, with no link between ad spend and organic citation likelihood.

Ahrefs analyzed Google's Discussions and Forums results and found Reddit dominates the space, appearing in 83.9% of queries worldwide.

A Fractl and SparkToro study finds niche publishers with minimal traffic drive 1.7x higher audience affinity than mainstream outlets, reshaping how digital PR teams should prioritize media placements in the AI era.

Search Engine Journal and Ahrefs analyzed 15 million data points to debunk common misconceptions about AI's influence on search rankings.

Moz released a dataset of 50,000 fan-out prompts across 1,000 subtopics, revealing that brand mentions cluster in entity and comparison queries, and that most fan-outs balance topical relevance with diversity.

Nick Fox, Google's SVP of Knowledge & Information, told an interviewer that EU regulations forced Google to reduce search quality in ways that made him feel "terrible" and "sad."

Orbit Media's 2026 blogging survey found content marketing success fell to 14% of marketers reporting strong results, even as AI adoption hit 92%, because marketers abandoned proven tactics like keyword research and expert collaboration rather than because of AI itself.

Search Engine Journal analyzed 120K mentions to identify four key signals that drive multi-location business visibility across five AI models including ChatGPT and Gemini.

Two studies reveal that search intent is fragmenting across AI Mode, video platforms, and zero-click results, with Google's own data showing shifts in where clicks now land.

SOCi's analysis of expanding versus contracting restaurant chains reveals expanding brands earn 6–7x more ChatGPT recommendations and maintain consistently higher scores across search, reviews, and social signals.

Semrush surveyed 2,338 US consumers and found that 57.5% of AI users have been talked out of purchases by chatbots, and 65% have replaced some product searches with them.

Ten Speed's research shows product pages receive 24% of AI citations for B2B buyers, significantly outperforming Reddit and YouTube.

Data shows Google AI Mode selects and ranks products differently than the traditional search carousel, often featuring different sellers for identical items.

Google DeepMind outlined how Gemini is transitioning from a conversational chatbot to an AI agent capable of using tools and completing autonomous tasks.

SEOFOMO News benchmarked 1,000 top websites on AI-agent readiness and found most are unprepared, with an average score of 54/100 and over a third falling below 50.

SE Ranking's analysis of 50,000+ prompts shows ChatGPT displays ads on roughly one in four commercial queries, with over 14% appearing for irrelevant topics.

Erase.com's analysis of 714 suppression campaigns shows that starting position and negative type matter far more than publishing volume, and AI Overviews may require pushing negatives beyond page two.

A 774-output localization benchmark found AI workflows outperformed human translators on 4 of 6 content types tested, suggesting model choice matters more than post-editing alone.

GatherUp analyzed nearly 9,000 businesses to benchmark review volumes, NPS, and star ratings across healthcare, insurance, restaurant, legal, storage & transportation, and construction sectors for 2025.

A controlled test shows source order has less influence on AI citation patterns than surface metrics suggest, with structured rewrites playing a larger role in attribution.

Local SEO expert Joy Hawkins outlined how reviews factor into Google rankings alongside proximity, category, and website authority—emphasizing recency, engagement, and responsiveness over perfect ratings or keyword-stuffed text.

New research indicates users are blending traditional Google searches with AI tools rather than entirely switching away from Google.

Research from Meltwater and LinkedIn analyzing 9.5 million citations found that individual profiles drive three-quarters of all LinkedIn citations in AI systems.

Semrush found that manufacturing brands cited in AI search results don't see corresponding traffic gains from those mentions.

A LeanData survey found 93% of B2B go-to-market teams have deployed AI agents, yet nearly one-third don't know how many agents they're running and 30% have discovered unaudited actions.