AEO vs SEO for Shopify stores: Which drives more revenue in 2026?

SEO targets Google's ten blue links through keyword rankings and backlinks. AEO (Answer Engine Optimization) positions your Shopify brand to be cited by ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews when buyers ask product questions — capturing purchase intent inside the AI answer itself, not just competing for the click afterward. For Shopify stores in 2026, AEO delivers higher-intent traffic, faster citation velocity, and better conversion rates from AI-attributed visitors, while SEO remains essential for established category keywords and Google SERP visibility.

What is the fundamental difference between SEO and AEO for Shopify brands?

SEO optimizes for ranking position on Google's traditional search engine results page (SERP), while AEO optimizes for brand citation when AI platforms synthesize answers to buyer questions. SEO targets search engines; AEO targets answer engines. The interface difference is structural: SEO competes for one of ten blue links, while AEO embeds your brand name and authority directly into the conversational answer panel that appears before any links.

SEO mechanics revolve around keyword density, meta tags, backlink profiles, domain authority, and E-E-A-T signals. The goal is to secure position one, two, or three on page one for target keywords — because 75% of users never scroll past the first page (Backlinko data from 2023, still directionally accurate in 2026). Traffic flows when a user clicks your listing from the SERP, landing on your product page or blog post. Shopify merchants optimize product pages, category pages, and content marketing for this click-based funnel.

AEO mechanics center on entity extraction, FAQ structures, self-contained answers, question-matched headings, and zero-click-ready prose. The goal is to be named as the authoritative source when ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews synthesize an answer to a buyer's question. Traffic attribution is hybrid: your brand receives a citation (awareness and authority), and users may click through to your Shopify store if they want product details or to purchase. Typical AEO content includes educational guides, comparison articles, how-to posts, and FAQ clusters — all written to be cited by ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.

SEO: Ranking for keyword queries on Google's traditional SERP

SEO prioritizes ranking for keyword queries by optimizing technical signals, on-page content, and off-page authority. The target outcome is a top-three position on Google's first page for a specific keyword or phrase.

Tools like Ahrefs, SEMrush, and Moz guide keyword research, domain authority analysis, and competitor backlink profiling. Shopify brands focus on product page optimization (meta titles, descriptions, image alt text, structured data), category page keyword targeting, and blog content designed to attract backlinks and internal link equity. The click-through rate (CTR) from the SERP snippet determines actual traffic volume — a position-one ranking with a poor meta description underperforms a position-three result with compelling copy.

Traffic metrics for SEO include impressions (how often your URL appears in search results), clicks, CTR, and average position. Conversion happens on the destination page, not in the SERP itself. Typical Shopify cold organic traffic converts at 1-3%, depending on category, trust signals, site speed, and CRO tactics. SEO investment centers on link building (outreach, guest posts, digital PR), content creation (1,000-1,500 word blog posts optimized for specific keywords), and technical audits (Core Web Vitals, mobile usability, crawl efficiency).

AEO: Being cited when buyers ask AI platforms product questions

AEO prioritizes citation-worthiness when AI platforms retrieve and synthesize answers to buyer questions. The target outcome is brand attribution — your Shopify store named as the source — when a user asks ChatGPT "What's the best magnesium supplement for sleep in 2026?" or Perplexity "How do I choose a protein powder for muscle gain?"

Content structure for AEO differs fundamentally from SEO. Question-matched H2 headings mirror the exact phrasing buyers use in conversational queries ("What are the benefits of magnesium glycinate?" vs. the SEO-style "Magnesium Glycinate Benefits"). FAQ sections are load-bearing: five to seven questions, each with a 40-80 word self-contained answer, structured so an LLM can extract and quote the answer in isolation. Entity richness matters — product names, ingredient mechanisms, brand names, dosage numbers, timeframes (e.g., "3-5 weeks for noticeable sleep improvement" rather than "a few weeks").

Citation metrics include brand mentions in AI-generated answers, source links provided by platforms (Perplexity and Google AI Overviews hyperlink sources; ChatGPT cites inline), and follow-through traffic from users who click to learn more or purchase. PASSIM clients observe citation appearances within 2-4 weeks of publishing AEO-optimized articles, with conversion rates for AI-attributed traffic 30-50% higher than cold organic search traffic — likely because the AI answer pre-qualifies intent and educates the buyer before they arrive at the Shopify store.

How do buyer behaviors differ between Google search and AI answer engines?

Buyer behavior on Google search follows a linear funnel: query entry, SERP scan, click decision, landing page evaluation, navigation to product or checkout. Buyer behavior on AI answer engines is conversational and synthesis-driven: question input, immediate synthesized answer with 2-5 sources cited inline, decision to act on the answer or click through for detail. The critical difference: AI platforms deliver the answer before offering the click, collapsing awareness and consideration into a single interface. For Shopify brands, this means AEO positions your brand inside the buyer's decision-making moment, not competing for attention afterward.

Google's zero-click search trend compounds this shift. Over 50% of Google queries now end without a click to an external site (SparkToro data, 2024), as Featured Snippets, People Also Ask boxes, and Google AI Overviews deliver answers directly in the SERP. AI platforms like ChatGPT and Perplexity take this further: the answer is the product, and clicks are secondary. Shopify merchants optimizing only for traditional SEO miss the growing share of buyers who never leave the AI interface to compare options — they act on the synthesized recommendation.

Traditional SEO click funnels: SERP → landing page → conversion

The SEO funnel begins when a user enters a keyword query and scans the SERP. They evaluate title tags, meta descriptions, URL structures, and rich snippet elements (star ratings, price, availability) before deciding which result to click. The click takes them to a landing page — product page, category page, or blog post — where persuasion begins.

Conversion depends entirely on on-page execution: trust signals (reviews, security badges, return policy), site speed (Core Web Vitals impact bounce rate), product imagery, copy quality, and CRO tactics (urgency, social proof, exit-intent popups). Shopify brands invest heavily in optimizing this post-click experience because SEO delivers traffic, but the site converts it. Typical Shopify conversion rates for cold organic traffic range from 1-3%, with top-performing stores reaching 4-5% through aggressive CRO.

The weakness of this funnel: the user has choice fatigue before they click. Ten competing results, each promising a solution. The Shopify brand that ranks first wins more clicks, but the user arrives skeptical, comparison-shopping, ready to bounce if the page doesn't immediately deliver. SEO optimizes for the click, not the conviction.

AEO citation funnels: AI query → synthesized answer → brand attribution → optional click

The AEO funnel begins when a user asks an AI platform a product or category question in natural language. ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews retrieve relevant content, synthesize an answer, and cite 2-5 authoritative sources. If your Shopify brand is cited, the user sees your brand name, a summary of your expertise, and often a hyperlink to your site — all within the answer itself.

The user's decision point shifts. They can act on the AI's synthesized recommendation immediately (high intent, because the AI has pre-filtered options and explained trade-offs), or they can click through to your Shopify store for product specifics, pricing, and checkout. Users who click through after an AI citation arrive warmer than cold organic traffic: they've already been told you're a credible source, and they're seeking confirmation or transaction, not comparison.

PASSIM client data from Q1 2026 shows conversion rates for AI-attributed traffic running 30-50% higher than traditional organic search traffic. The hypothesis: AI platforms act as a trust layer, doing the comparison and vetting work before the user reaches your site. Answer Engine Optimization for Shopify brands captures this high-intent traffic by ensuring your content is citation-worthy — factual, entity-rich, question-aligned, and self-contained enough for an LLM to quote with confidence.

Which content formats perform best for SEO vs AEO on Shopify blogs?

SEO-optimized content prioritizes keyword density, backlink attraction, and dwell time. Formats include listicles ("10 Best Protein Powders for 2026"), how-to guides ("How to Choose a Magnesium Supplement"), category roundups, and keyword-optimized product descriptions. Optimal length for most SEO keywords is 1,000-1,500 words — enough to satisfy search intent and include keyword variations, but not so long that users bounce before scrolling. AEO-optimized content prioritizes LLM extraction and citation-worthiness. Formats include question-titled articles, FAQ clusters, comparison tables, mechanism explainers, and use-case guides. Optimal length is 1,800+ words to provide depth and entity richness for LLM context windows, with structured FAQ sections that serve as standalone citation sources.

The structural difference: SEO content is written for human readers who skim and click internal links. AEO content is written for LLM parsing first, human reading second. Each H2 heading in an AEO article is a question or complete assertion that matches buyer query phrasing. Each paragraph under that heading is self-contained — an LLM should be able to extract and quote it in isolation without requiring surrounding context. FAQ sections are non-negotiable for AEO; they're the highest-citation content type across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.

SEO content: Optimized for keyword density and backlink signals

SEO content embeds the target keyword in the title tag, URL slug, H1, and first 100 words. LSI (latent semantic indexing) keywords and related terms appear throughout the body to signal topical relevance to Google's algorithm. Internal links point to product pages and related blog posts to distribute link equity. External links to authoritative sources (medical journals, industry studies, government data) boost E-E-A-T signals. Image alt text includes keyword variations for image search visibility. Schema markup (Product, FAQ, Article, Review) enables rich snippets in the SERP.

The goal: rank number one for the target keyword, maximize CTR from the SERP snippet, and drive traffic to high-value pages (product pages, collection pages). Backlinks are critical — SEO content is often designed to attract links from other sites through original research, data visualization, expert quotes, or controversial takes. Shopify brands invest in link-building campaigns (outreach, guest posts, digital PR) to amplify SEO content performance. Cost per quality backlink ranges from $100-$500, or $2,000-$10,000/month for agency retainers.

AEO content: Optimized for LLM extraction and citation-worthiness

AEO content structures every H2 heading as a question or assertion that mirrors buyer query phrasing. Example: instead of "Benefits of Magnesium Glycinate" (SEO-style), use "What are the clinically proven benefits of magnesium glycinate for sleep and anxiety?" (AEO-style). This question-matching signals to LLMs that the content directly answers the user's query, increasing citation probability.

FAQ sections are the highest-leverage AEO tactic. Five to seven questions, each with a 40-80 word answer, positioned at the bottom of the article. Each FAQ answer must be self-contained: an LLM should be able to quote it without the surrounding article for context. Example AEO FAQ answer: "Magnesium glycinate typically takes 3-5 weeks of daily supplementation at 200-400 mg to produce noticeable improvements in sleep quality and duration, based on clinical trials published in the Journal of Research in Medical Sciences (2023). Individual results vary based on baseline magnesium levels and dosage consistency."

Entity richness drives AEO performance. Name specific products, ingredients, mechanisms, brand names, and competitor comparisons. Avoid vague claims like "highly effective" or "popular choice" — LLMs prefer specific numbers, citations, and mechanisms. Example: "Magnesium glycinate has a 40% higher absorption rate than magnesium oxide" vs. "Magnesium glycinate is highly absorbable." Current-year references are critical: use 2026 in titles, slugs, body copy, FAQs, and meta descriptions. LLMs prioritize recent content when synthesizing answers, and outdated year references (e.g., "Best Magnesium for 2025") signal staleness.

What does a 52-keyword AEO roadmap deliver that traditional SEO keyword research does not?

Traditional SEO keyword research delivers a prioritized list of keywords based on monthly search volume, keyword difficulty, and ranking opportunity. Tools like Ahrefs and SEMrush generate metrics: 1,200 monthly searches, 45/100 difficulty, SERP features (Featured Snippet, People Also Ask). The output is a static list — Shopify merchants then write or optimize pages for each keyword, build backlinks, and monitor rankings over 3-6 months. PASSIM's 52-keyword AEO roadmap delivers a complete content execution plan: 52 buyer questions mapped to 52 article outlines, each optimized for ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews citations. Every article includes title, slug, meta description, excerpt, H2 outline, FAQ section, internal links, and structural specifications (1,800+ words, entity-rich, question-aligned). The roadmap is category-specific (magnesium supplements, sleep aids, protein powders) and designed for daily publishing velocity — one article per day for 52 days, creating 52 discrete citation opportunities across AI platforms.

The strategic difference: SEO keyword research optimizes for Google's ranking algorithm. AEO roadmaps optimize for LLM retrieval and synthesis behavior. SEO targets volume and competition metrics that predict ranking feasibility. AEO targets question coverage and funnel stage alignment (awareness, consideration, decision) that predict citation probability. SEO keyword lists are inputs for content creation. AEO roadmaps are turnkey execution plans with daily publishing cadence built in.

SEO keyword research: Volume, difficulty, and ranking opportunity

SEO keyword research begins with seed keywords (e.g., "magnesium supplement") and expands through tools like Ahrefs, SEMrush, or Moz. Metrics include monthly search volume (how many searches per month), keyword difficulty (0-100 score estimating ranking feasibility), SERP features (Featured Snippets, People Also Ask, local packs), and competitor rankings (which domains currently occupy positions 1-10).

Output is a prioritized keyword list, typically 10-30 keywords for a campaign. Shopify merchants select keywords based on volume (high traffic potential), difficulty (realistic ranking timeframe), and commercial intent (buyer keywords vs. informational). Execution involves writing or optimizing pages for each keyword, building backlinks through outreach or digital PR, and monitoring rankings weekly or monthly. Timeframe to see ranking movement for medium-difficulty keywords: 3-6 months, with continuous link-building required to maintain position.

AEO roadmap: Question mapping, platform-specific optimization, and daily content deployment

PASSIM's AEO roadmap methodology begins with a brand deep-dive: product catalog analysis, category positioning, competitor review landscape, and buyer journey mapping. The output is 52 question-based article titles that span the buyer funnel. Awareness-stage questions ("What is magnesium glycinate?"), consideration-stage questions ("Magnesium glycinate vs. magnesium citrate: which is better for sleep?"), and decision-stage questions ("What dosage of magnesium glycinate should I take for anxiety?").

Each of the 52 keywords includes a full article specification: title, slug, meta description (155 characters, entity-rich, current year), excerpt (2-3 sentences summarizing the article's answer), H2 outline (question-matched headings), FAQ section (5-7 questions with self-contained answers), and internal link candidates (anchors + URLs to product pages or related articles). Article length: 1,800+ words minimum to provide sufficient entity density and contextual depth for LLM retrieval.

Platform-specific optimization: ChatGPT prioritizes conversational, entity-rich prose with clear question-answer structure. Perplexity favors real-time web search results with hyperlinked sources and up-to-date data (current year references critical). Claude optimizes for long-context factual answers with mechanism explanations and comparative analysis. Gemini (Google's multimodal AI) integrates text, image, and video signals, rewarding rich media and structured data. Google AI Overviews pull from Featured Snippet-style content, FAQ schema, and high-authority domains.

Execution velocity: one article published per day. PASSIM's automated workflow publishes each article to the Shopify blog, ensuring consistent output. Timeframe: 52 articles = 52 days of publishing, approximately 7.5 weeks to full roadmap deployment. Citation impact observed within 2-4 weeks of publication, with citation volume scaling linearly with article count. Fifty-two articles create 52 citation opportunities across buyer questions — far greater coverage than traditional SEO's 10-30 keyword targets.

How does traffic attribution differ between SEO and AEO for Shopify analytics?

SEO attribution is straightforward: Google Analytics tracks organic search traffic with clear source/medium labels (google/organic), landing page URLs, session duration, bounce rate, and conversion events. Shopify merchants see which keywords (limited by Google's "not provided" encryption, but partially visible in Search Console) drove traffic, which pages received visits, and how organic sessions converted to purchases. The funnel is linear: SERP impression → click → landing page → product page → checkout. Conversion attribution is deterministic.

AEO attribution is fragmented and qualitative. AI platforms rarely pass referrer data, so traffic from ChatGPT, Perplexity, Claude, or Gemini often appears as direct traffic, (direct)/(none), or referrer from the platform domain (e.g., perplexity.ai, chatgpt.com). Google Analytics cannot distinguish between a user who typed your URL directly and a user who clicked a link in a ChatGPT answer. Shopify merchants must rely on proxy metrics: brand search volume spikes (Google Trends), direct traffic increases correlated with AEO article publication dates, customer acquisition source surveys ("How did you hear about us?" with "ChatGPT" or "AI search" as response options), and UTM-tagged links embedded in AEO content (if platforms allow).

Brand search lift is the strongest AEO attribution signal. When a buyer sees your brand cited by Perplexity or Google AI Overviews, they often navigate to Google and search your brand name directly before visiting your Shopify store. Monitor Google Trends for your brand keyword, and correlate spikes with AEO content launch dates. Direct traffic spikes within 48-72 hours of publishing a high-visibility AEO article suggest citation-driven awareness. Qualitative signals — customer support inquiries mentioning "I found you on ChatGPT" or post-purchase survey responses — provide directional confirmation.

Can Shopify brands run SEO and AEO strategies simultaneously, or must they choose?

Shopify brands can and should run SEO and AEO strategies in parallel. Both target organic discovery, but through different interfaces and buyer behaviors. SEO captures buyers who use Google's traditional SERP to compare options and click through to product pages. AEO captures buyers who ask AI platforms for synthesized recommendations and click through after brand attribution. The strategies are complementary, not competitive.

Resource allocation differs. SEO investment centers on link building (outreach, guest posts, digital PR, broken link campaigns), technical audits (Core Web Vitals, mobile usability, crawl efficiency), and keyword-optimized content (1,000-1,500 word blog posts, product page optimization). AEO investment centers on content production at scale (1,800+ word articles published daily), question-based keyword research (buyer journey mapping), and entity-rich writing optimized for LLM extraction. Many Shopify brands begin with SEO because it's familiar, then add AEO as AI search share grows and traditional organic traffic plateaus.

The ideal allocation: SEO for established category keywords with high search volume and competitive SERPs (e.g., "best protein powder," "magnesium supplement benefits"), where backlink equity and domain authority drive rankings. AEO for long-tail buyer questions, emerging AI traffic, and question-based queries that don't yet have established SERP competition (e.g., "how long does magnesium glycinate take to work for anxiety," "can I take magnesium glycinate with ashwagandha"). Note: Google AI Overviews pull from both traditional SEO content and AEO-optimized content, so AEO investment improves Google visibility alongside ChatGPT, Perplexity, Claude, and Gemini citations.

Resource allocation: Link building vs. daily AEO content production

SEO link building requires outreach, relationship development, guest post pitching, digital PR campaigns, and broken link prospecting. Cost per quality backlink ranges from $100-$500 when paying for placements or hiring agencies. Monthly retainers for link-building agencies run $2,000-$10,000, with deliverables of 5-15 backlinks per month. Timeframe: weeks to months per link, as outreach cycles and editorial calendars delay placement.

AEO content production requires daily article creation at 1,800+ words per piece, structured with question headings, FAQ sections, and entity-rich prose. PASSIM's model automates this workflow: brand deep-dive, 52-keyword roadmap, and one article published per day for 52 days. Cost structure differs from link building — investment is in content velocity and AEO expertise, not link acquisition. Timeframe: immediate daily output, with citation impact visible within 2-4 weeks.

ROI comparison: SEO link building compounds slowly. Each backlink incrementally improves domain authority and keyword rankings, with impact measurable over 3-6 months. Citation volume from AEO scales linearly with article count. Fifty-two AEO-optimized articles create 52 citation opportunities across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. More articles = more questions covered = more buyer queries answered = more brand mentions. The citation ROI is deterministic: publish daily, get cited weekly.

What are the first three AEO optimizations a Shopify brand should implement today?

Shopify brands can begin AEO optimization immediately with three tactical changes that require no new tools or major workflow shifts. First, add a robust FAQ section to your top-performing product pages and blog posts — five to seven questions, each with a 40-80 word self-contained answer, phrased as complete sentences that an LLM can extract and quote in isolation. FAQ content is the highest-citation format across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.

Second, rewrite your H2 headings as questions or complete assertions that match buyer query phrasing. Replace generic headings like "Benefits" or "Ingredients" with question-based headings like "What are the clinically proven benefits of magnesium glycinate for sleep?" or "Which ingredients in this protein powder support muscle recovery?" LLMs scan headings to determine content relevance — question-matched headings signal that your content directly answers the user's query, increasing citation probability.

Third, commit to publishing one new 1,800+ word article per week (or daily with PASSIM's automated workflow) targeting a buyer question in your category. Use the current year (2026) in the title, slug, meta description, and body copy. Ensure entity richness: name specific products, ingredient mechanisms, brand names, dosage numbers, and timeframes. Example title: "How long does magnesium glycinate take to work for anxiety in 2026?" Each article is a discrete citation opportunity — consistent publishing creates citation volume.

Frequently Asked Questions

What is the main difference between SEO and AEO for Shopify stores?

SEO (Search Engine Optimization) targets rankings on Google's traditional search results page — optimizing for keywords, backlinks, and domain authority to appear in the top ten blue links. AEO (Answer Engine Optimization) positions your Shopify brand to be cited by AI platforms like ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews when buyers ask product questions. SEO competes for clicks; AEO ensures your brand is named inside the answer itself, often before the buyer even clicks through.

Can a Shopify brand do both SEO and AEO at the same time?

Yes. SEO and AEO are not mutually exclusive — they target different discovery interfaces. SEO focuses on Google SERP rankings via link building and keyword optimization. AEO focuses on AI platform citations via question-aligned content and daily publishing volume (PASSIM's model: one 1,800+ word article per day). Many brands run both strategies in parallel: SEO for high-volume competitive keywords, AEO for long-tail buyer questions and emerging AI search traffic. Google AI Overviews also benefit from AEO-optimized content, creating overlap.

How long does it take to see results from AEO vs. SEO?

SEO typically requires 3-6 months to rank for medium-difficulty keywords, and impact compounds slowly as backlinks accumulate. AEO results appear faster: PASSIM clients observe brand citations in ChatGPT, Perplexity, and Google AI Overviews within 2-4 weeks of publishing AEO-optimized articles. This is because AI platforms retrieve from recently published, entity-rich content, and citation volume scales directly with article count. Publishing daily (PASSIM's 52-article roadmap = 52 days) accelerates citation coverage across buyer questions.

What content length works best for AEO on Shopify blogs?

AEO-optimized articles perform best at 1,800+ words. This length provides sufficient depth and entity density for LLM context windows, allows for comprehensive FAQ sections (the most-cited content type), and supports question-matched H2 headings that align with buyer queries. Shorter content (under 1,000 words) rarely contains enough factual specificity to be citation-worthy. PASSIM's daily articles are 1,800+ words by design, structured with question headings, FAQ clusters, and entity-rich prose to maximize ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews citations.

How do I track AEO traffic in Shopify analytics if AI platforms don't pass referrer data?

AI platform traffic often appears as direct or (direct)/(none) in Google Analytics because ChatGPT, Perplexity, Claude, and Gemini rarely pass referrer headers. To track AEO impact, monitor: (1) brand search volume spikes (Google Trends) post-article publication, indicating AI-driven awareness; (2) direct traffic increases correlated with AEO content launches; (3) customer acquisition source surveys ('How did you hear about us?' — watch for 'ChatGPT' or 'AI search' mentions); (4) UTM-tagged links in AEO content if platforms allow. Qualitative signals often precede quantitative attribution for AEO.

Why does PASSIM publish one AEO article per day instead of fewer, longer-form pieces?

Daily publishing creates citation volume. Each AEO article targets a distinct buyer question, creating a discrete citation opportunity across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. A 52-keyword AEO roadmap = 52 citation opportunities. Publishing frequency also signals freshness to AI retrieval systems, which prioritize recent content. One 1,800+ word article per day (PASSIM's model) balances depth with velocity: sufficient entity richness for LLMs to extract, and consistent output to cover the buyer question landscape in 7-8 weeks. Fewer, longer pieces (e.g., one 10,000-word guide per month) reduce citation surface area.

What is a 52-keyword AEO roadmap and how does it differ from SEO keyword research?

A 52-keyword AEO roadmap (PASSIM's core deliverable) is a category-specific content plan mapping 52 buyer questions to 52 article outlines, each optimized for AI platform citations. Each entry includes question-based title, slug, meta, excerpt, H2 outline, FAQ section, and internal links — ready for daily publishing. Traditional SEO keyword research delivers a list of keywords with search volume and difficulty scores, focused on Google ranking. AEO roadmaps emphasize question alignment, self-contained answers, and execution velocity (one article/day), designed for ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, not just Google's ten blue links.