暫定日本語訳：GEO / AEO vs SEO

暫定日本語案: For Google’s AI features, その company says その same SEO basics continue to apply. Evidence for this claim Google says established SEO fundamentals continue to apply to AI Overviews and AI Mode, without additional technical requirements. Scope: Google Search AI features; not a statement about every generative or answer engine. Confidence: high · Verified: 2026-07-14 Google: AI features and your website GEO, by contrast, originated as a research framework 向け visibility inside generated answers. Evidence for this claim GEO was formalized in a 2023 research paper that measured source visibility within generative-engine responses. Scope: Origin and experimental framing of GEO; subsequent marketing uses of the term vary. Confidence: high · Verified: 2026-07-14 Aggarwal et al.: GEO paper

暫定日本語案: TL;DR — GEO と AEO are mostly その same job as SEO, just aimed at AI answers 暫定日本語案: instead of blue links. The big stuff is identical: good コンテンツ, being a trusted 暫定日本語案: source, と a site that 検索エンジン can actually read. Google even says 暫定日本語案: optimizing 向け AI search “is still SEO.” The one thing that’s genuinely 暫定日本語案: different: what その rest of その internet says about you (brと mentions) now 暫定日本語案: matters more than links pointing at you — which is backwards from how traditional 暫定日本語案: SEO works. That’s a correlation from one dataset, though, not a guarantee — treat 暫定日本語案: it as a signal to watch, not a lever とともに a proven cause-と-effect.

暫定日本語案: The acronyms, in one breath

暫定日本語案: You’ll see three terms thrown around, と そのy overlap a lot:

• 暫定日本語案: SEO (Search Engine Optimization) — getting your ページ to rank in その list of 暫定日本語案: links on Google と Bing. The original job.
• 暫定日本語案: AEO (Answer Engine Optimization) — getting your コンテンツ delivered as その 暫定日本語案: answer: a featured snippet, a voice-assistant reply, an AI answer box. The goal 暫定日本語案: is 向け その engine to read your text aloud or paste it at その top.
• 暫定日本語案: GEO (Generative Engine Optimization) — getting cited inside an AI-written 暫定日本語案: answer from ChatGPT, Perplexity, or Google’s AI Overviews.

暫定日本語案: The cleanest way to keep AEO と GEO apart: とともに AEO you ARE その answer, とともに 暫定日本語案: GEO you’re CITED in その answer. In real life その tactics 向け both are nearly 暫定日本語案: その same, と plenty of people use その words interchangeably.

暫定日本語案: What’s actually その same

暫定日本語案: Almost everything. All three reward:

• 暫定日本語案: Quality, helpful コンテンツ written 向け people.
• 暫定日本語案: Authority — being a source oそのrs trust.
• 暫定日本語案: Technical basics — a ページ that can be crawled と indexed. If Google can’t 暫定日本語案: read your ページ, an AI can’t cite it eiそのr, because most AI search reads from その 暫定日本語案: same web indexes.

暫定日本語案: That’s why Google’s own guidance says you don’t need a separate playbook or special 暫定日本語案: files to show up in AI Overviews. Do good SEO と you’re most of その way そのre.

暫定日本語案: What’s actually different

暫定日本語案: One thing stとs out, と it’s a real flip:

暫定日本語案: Unlinked brと mentions matter more than backlinks. In traditional SEO, a 暫定日本語案: mention of your brと that isn’t a clickable link is worth almost nothing — links 暫定日本語案: are その currency. In AI search, those plain mentions are その strongest signal I’ve 暫定日本語案: measured (more on その numbers in その Advanced tab). So PR, podcasts, と getting 暫定日本語案: talked about across その web now feed your AI visibility directly.

暫定日本語案: A few smaller differences follow from that:

• 暫定日本語案: There’s no “position 1.” You’re eiそのr cited or you’re not. A ページ ranking 暫定日本語案: #5 in Google can get cited just as easily as その #1 ページ.
• 暫定日本語案: Keyword stuffing backfires in AI answers (it can still scrape by in some 暫定日本語案: traditional searches).
• 暫定日本語案: AI traffic is tiny but high-quality — far fewer visitors than Google sends, 暫定日本語案: but そのy convert at a much higher rate.

暫定日本語案: The bottom line

暫定日本語案: Do your SEO first — it’s その foundation と it’s where その traffic still is. Then 暫定日本語案: layer その AI-specific signals on top: earn brと mentions, write clear front-loaded 暫定日本語案: answers, keep key ページ fresh. You’re not replacing anything. Want その data と その 暫定日本語案: official quotes? Switch to その Advanced tab.

暫定日本語案: Google explicitly frames AI-feature eligibility through existing Search requirements raそのr than a new technical discipline. Evidence for this claim Google says established SEO fundamentals continue to apply to AI Overviews and AI Mode, without additional technical requirements. Scope: Google Search AI features; not a statement about every generative or answer engine. Confidence: high · Verified: 2026-07-14 Google: AI features and your website The original GEO paper measured generative-answer visibility under its own benchmark, so its tactics should not be treated as permanent plat向けm rules. Evidence for this claim GEO was formalized in a 2023 research paper that measured source visibility within generative-engine responses. Scope: Origin and experimental framing of GEO; subsequent marketing uses of the term vary. Confidence: high · Verified: 2026-07-14 Aggarwal et al.: GEO paper

暫定日本語案: TL;DR — GEO, AEO, と SEO sit on その same foundation: quality コンテンツ, 暫定日本語案: authority, E-E-A-T, と technical eligibility — と AI search runs RAG over その 暫定日本語案: same web indexes traditional search uses, so most SEO carries over 向け free. 暫定日本語案: Google と Bing both frame AI optimization as “still SEO.” The genuinely 暫定日本語案: different part is one structural inversion: in Ahrefs’ 75 000-brと correlation 暫定日本語案: study, brとed web mentions correlate 暫定日本語案: 0,664 とともに AI Overview brと visibility versus Domain Rating’s 0,326 — unlinked 暫定日本語案: mentions, near-worthless in classic SEO, are その strongest AI signal. Everything 暫定日本語案: else that’s “different” (citation vs. rank as その metric, passage-level 暫定日本語案: retrieval, rank-5 beating rank-1, keyword stuffing hurting, 23x conversion at 暫定日本語案: 190x less traffic) follows from how AI answers are assembled. Caveat: その 暫定日本語案: correlation is descriptive, not causal, と none of そのse labels guarantee 暫定日本語案: ranking, citation, traffic, or conversion lift. Priority: do SEO, そのn layer その 暫定日本語案: AI signals on top.

暫定日本語案: First, その definitions that matter

暫定日本語案: None of そのse three labels are stとardized その way SEO is. SEO carries decades 暫定日本語案: of shared search-industry usage; GEO と AEO definitions vary by author, product, 暫定日本語案: surface, と date — treat any GEO/AEO claim (including mine) as scoped to whoever 暫定日本語案: is using その term, not an industry consensus.

暫定日本語案: Three acronyms, one job, three vantage points:

• 暫定日本語案: SEO wins ranked link placement 向け a URL.
• 暫定日本語案: AEO makes you be その answer — その engine extracts your text 向け a featured 暫定日本語案: snippet, a voice reply, or an AI answer. Coined by Jason Barnard in a January 暫定日本語案: 2018 Trustpilot white paper, originally a voice-search と featured-snippet 暫定日本語案: idea, そのn revived 向け その LLM era.
• 暫定日本語案: GEO gets you cited as a source inside a synそのsized AI response. Coined 暫定日本語案: academically by Aggarwal et al. (KDD 2024).

暫定日本語案: The pedagogically useful split is you ARE その answer (AEO) vs. you’re CITED 暫定日本語案: in その answer (GEO) — distinct origins, but その 2025–26 tactics overlap ~90%, so 暫定日本語案: I’ll mostly treat GEO/AEO as one thing against SEO below.

暫定日本語案: What’s その same across all three

暫定日本語案: This is most of その surface area, と it’s why I keep calling this evolution, not 暫定日本語案: revolution.

• 暫定日本語案: Quality コンテンツ is その foundation. The same helpful, people-first コンテンツ 暫定日本語案: that ranks also gets cited.
• 暫定日本語案: Authority still matters — it’s just measured differently (next section). The 暫定日本語案: concept “trusted sources win” is unchanged.
• 暫定日本語案: Technical eligibility is a shared gate. A ページ that can’t be crawled と 暫定日本語案: indexed can’t be cited. Crawlability, indexability, HTTPS, と structure are 暫定日本語案: prerequisites 向け both.
• 暫定日本語案: AI search reads その same indexes. Google AI Overviews, ChatGPT Search, Bing 暫定日本語案: Copilot, と Perplexity ground answers とともに retrieval-augmented generation 暫定日本語案: (RAG) — pulling from その same web indexes traditional search uses. Microsoft 暫定日本語案: says it outright: getting cited “comes down to two things: first, make sure Bing 暫定日本語案: has indexed your コンテンツ so it appears in result sets, と second, make sure your 暫定日本語案: コンテンツ is clear, structured, と trustworthy enough to win その citation.”

暫定日本語案: What’s genuinely different — その signal inversion

暫定日本語案: If you remember one thing, remember this. In Ahrefs’ 75 000-brと correlation 暫定日本語案: study by Louise Linehan と Xibeijia Guan, 暫定日本語案: which I presented と interpreted at Ahrefs Evolve 2025, 暫定日本語案: その signals predicting Google AI Overview inclusion line up like this:

| 暫定日本語案: Signal | Correlation とともに AI Overview inclusion | | 暫定日本語案: --- | --- | | 暫定日本語案: Brとed web mentions | 0,664 | | 暫定日本語案: Brとed anchor text | 0,527 | | 暫定日本語案: Brとed search volume | 0,392 | | 暫定日本語案: Domain Rating | 0,326 |

暫定日本語案: Read that top-to-bottom: unlinked brと mentions — which pass no ページRank と 暫定日本語案: contribute almost nothing in traditional SEO — are その single strongest predictor, 暫定日本語案: と そのy beat Domain Rating, その classic link-based authority proxy. That is a 暫定日本語案: structural inversion, not a marginal difference. It means PR, social, と 暫定日本語案: brと-構築ing teams now own a direct AI-visibility lever, not just an indirect one. 暫定日本語案: My one-line framing of その whole shift: “From ‘Optimize Your Site’ → ‘Optimize How 暫定日本語案: The Internet Talks About You’.”

暫定日本語案: That table is a dated correlation from one dataset, not a causal test. It doesn’t 暫定日本語案: control 向け confounders — an established brと may earn both more mentions と 暫定日本語案: more AI Overview inclusion because it’s simply bigger と better-known, not 暫定日本語案: because その mentions caused その inclusion — と no controlled experiment here 暫定日本語案: isolates wheそのr adding mentions moves inclusion 向け a given site. Read it as a 暫定日本語案: descriptive predictor worth tracking, not a guaranteed lever.

暫定日本語案: The oそのr differences (そのy follow from how answers are built)

暫定日本語案: These are real, but そのy’re downstream of “an AI assembles an answer from passages” 暫定日本語案: raそのr than “a SERP ranks URLs”:

• 暫定日本語案: Citation, not rank, is その success metric. SEO gives you a position number 暫定日本語案: (average position 2,3). AI search gives you cited / not-cited — と even that is 暫定日本語案: hard to measure consistently. There’s no “outranking” anyone; you’re in その 暫定日本語案: citation set or you’re not.
• 暫定日本語案: Passage-level retrieval, not URL-level ranking. AI systems extract specific 暫定日本語案: passages と can synそのsize across several ページ. So a rank-5 ページ can be cited 暫定日本語案: over その rank-1 ページ if it has その better paragraph 向け その sub-question — which 暫定日本語案: is structurally impossible in a traditional SERP. The Princeton GEO paper found 暫定日本語案: rank-5 ページ gained +115,1% in citation frequency from GEO tactics, while その 暫定日本語案: rank-1 ページ actually lost ~30,3%.
• 暫定日本語案: Keyword stuffing inverts. The same GEO paper measured keyword stuffing at 暫定日本語案: -9% 向け AI citation. In limited exact-match SEO cases it can still scrape a 暫定日本語案: marginal benefit; in AI answers it degrades fluency と hurts you.
• 暫定日本語案: A different traffic profile. AI search sends far less traffic — in my 暫定日本語案: analysis of 76 000 sites, Google sent 暫定日本語案: roughly 190x more Webサイト traffic than ChatGPT, と ChatGPT’s estimated click-through rate was about 暫定日本語案: 96% lower than Google’s (1,3% vs. 29,2%). But that trickle converts: in my 暫定日本語案: analysis of Ahrefs’ June 2025 internal data, I found AI search visitors converted at about 23x その rate of traditional 暫定日本語案: organic search 向け Ahrefs. Tiny channel, disproportionately valuable.

暫定日本語案: The AEO-specific angle

暫定日本語案: AEO predates GEO と came from a different place — voice search と featured 暫定日本語案: snippets, where そのre is exactly one spoken or boxed answer. That origin is why 暫定日本語案: その AEO mental model is “be その extractable answer”: front-load a direct one-to-two 暫定日本語案: sentence answer under a clear heading, use tables と lists, keep it simple. GEO’s 暫定日本語案: origin is その LLM citation. In 2025–26 そのy’ve converged — その same structured, 暫定日本語案: front-loaded, citable コンテンツ wins both — but その distinction is worth keeping 暫定日本語案: because it tells you what you’re optimizing toward: extraction (AEO) vs. inclusion 暫定日本語案: as a cited source (GEO).

暫定日本語案: The “still SEO” case

暫定日本語案: The official positions are unambiguous. Google: “From Google Search’s perspective, 暫定日本語案: optimizing 向け generative AI search is optimizing 向け その search experience, と 暫定日本語案: thus still SEO,” とともに “no additional requirements to appear in AI Overviews or AI 暫定日本語案: Mode.” Danny Sullivan’s compression of it: “Good SEO is good GEO.” Ryan Law’s 暫定日本語案: Ahrefs piece is titled, accurately, GEO, LLMO, AEO… It’s All Just SEO. The 暫定日本語案: practitioner data agrees — most companies run AI search through そのir existing SEO 暫定日本語案: teams raそのr than a separate specialty.

暫定日本語案: That guidance is scoped to Google’s own AI features. AI Overviews と AI Mode run 暫定日本語案: on Google’s crawl, index, と eligibility systems, so Google’s “still SEO” framing 暫定日本語案: doesn’t automatically extend to ChatGPT, Perplexity, or oそのr generative products 暫定日本語案: — those run そのir own retrieval と source-selection systems outside Google’s 暫定日本語案: control, even where その underlying tactics overlap in practice.

暫定日本語案: The “actually different” case

暫定日本語案: The honest counterweight: その brと-mention inversion is not cosmetic. A site とともに 暫定日本語案: many mentions but mediocre backlinks can out-cite a high-DR site とともに fewer 暫定日本語案: mentions — something that doesn’t happen in a traditional SERP. Combine that とともに 暫定日本語案: passage-level retrieval (ページ authority no longer guarantees その citation), 暫定日本語案: citation-not-rank measurement, と a fundamentally different traffic/conversion 暫定日本語案: profile, と you have enough divergence to warrant attention even if it doesn’t 暫定日本語案: warrant a separate team. “Evolution” doesn’t mean “no change” — it means その 暫定日本語案: foundation holds while その execution layer expとs.

暫定日本語案: Keep outcomes と measurement scoped

暫定日本語案: Two guardrails be向けe you act on any of this:

• 暫定日本語案: Don’t collapse outcomes into one score. Ranking, retrieval, context 暫定日本語案: inclusion, extraction, mention, citation, prominence, clicks, conversions, と 暫定日本語案: revenue are separate things. A tactic that moves one doesn’t necessarily move 暫定日本語案: その oそのrs — その GEO paper’s rank-5/rank-1 numbers above are about citation 暫定日本語案: frequency inside its own benchmark, not clicks or revenue. None of その SEO, 暫定日本語案: AEO, or GEO labels or tactics guarantee ranking, extraction, mention, citation, 暫定日本語案: traffic, or conversion lift; そのy’re a description of what tends to correlate, 暫定日本語案: not a promise.
• 暫定日本語案: Scope every measurement. Google Search Console reports clicks, impressions, 暫定日本語案: CTR, と position 向け Google Search under its own documented dimensions — it 暫定日本語案: doesn’t observe ChatGPT, Perplexity, or oそのr generative products. Treat any 暫定日本語案: GEO/AEO visibility claim (including その numbers on this ページ) as tied to a 暫定日本語案: specific provider, prompt, model, market, と date; an unscoped “AI visibility” 暫定日本語案: figure isn’t measuring anything specific.

暫定日本語案: Practical priority

暫定日本語案: Do SEO first; it’s その foundation と it’s where その volume still is. Then layer 暫定日本語案: その incremental AI signals on top — none of そのm conflict とともに SEO (except keyword 暫定日本語案: stuffing, which already hurt both):

1. 暫定日本語案: Earn brと mentions across credible third-party sites, podcasts, と 暫定日本語案: publications — その 0,664 signal.
2. 暫定日本語案: Write passage-quality answers — every section should answer its question in 暫定日本語案: その first two or three sentences.
3. 暫定日本語案: Establish entity clarity — consistent brと/author identity, Wikipedia/ 暫定日本語案: Wikidata, sameAs.
4. 暫定日本語案: Keep key ページ fresh — AI assistants lean toward recently updated material.

暫定日本語案: Weight その AI signals more heavily when your audience is high-converting (B2B, 暫定日本語案: research と in向けmational intent) — that’s where その 23x conversion makes a tiny 暫定日本語案: channel worth real ef向けt. For a deeper hub on その whole topic, see 暫定日本語案: AI search optimization.

暫定日本語案: AI summary

暫定日本語案: A condensed take on その Advanced version:

• 暫定日本語案: One job, three vantage points. SEO = ranked links; AEO = be その extracted 暫定日本語案: answer; GEO = be cited in a synそのsized AI answer. AEO/GEO tactics overlap ~90%.
• 暫定日本語案: What’s その same (most of it): quality コンテンツ, authority, E-E-A-T, と 暫定日本語案: technical eligibility — と AI search runs RAG over その same web indexes, so 暫定日本語案: SEO carries over. Google と Bing both call it “still SEO.”
• 暫定日本語案: The one structural difference: brとed web mentions correlate 0,664 とともに 暫定日本語案: AI Overview inclusion vs. Domain Rating’s 0,326. Unlinked mentions, near- 暫定日本語案: worthless in classic SEO, are その strongest AI signal — an inversion, not a tweak.
• 暫定日本語案: Downstream differences: citation (not rank) is その metric; passage-level 暫定日本語案: retrieval means a rank-5 ページ can beat rank-1 (+115,1% vs. -30,3% in その 暫定日本語案: Princeton paper); keyword stuffing -9%; AI sends ~190x less traffic but 暫定日本語案: converts ~23x better.
• 暫定日本語案: AEO angle: “you ARE その answer” (voice/snippet origin, 2018) vs. GEO’s “you’re 暫定日本語案: cited” (LLM era) — converged in practice.
• 暫定日本語案: Guardrails: その 0,664 correlation is descriptive, not causal (one dataset, 暫定日本語案: unconfirmed confounds); keep rank, extraction, mention, citation, click, 暫定日本語案: conversion, と revenue as separate outcomes raそのr than one visibility score; 暫定日本語案: Google’s “still SEO” framing covers Google’s own surfaces, not every generative 暫定日本語案: product; scope any AI-visibility number to a provider, prompt, model, market, 暫定日本語案: と date (GSC only observes Google Search). None of そのse labels guarantee 暫定日本語案: ranking, citation, traffic, or conversion lift.
• 暫定日本語案: Priority: do SEO first, そのn layer brと mentions, passage clarity, entity 暫定日本語案: signals, と freshness on top. Nothing conflicts (except keyword stuffing).

暫定日本語案: Official documentation

暫定日本語案: Primary-source documentation on how AI optimization relates to SEO.

暫定日本語案: Google

• 暫定日本語案: AI optimization guide — その “optimizing 向け generative AI search is still SEO” guidance; what you do と don’t need.
• 暫定日本語案: AI features in Google Search — how AI Overviews と AI Mode work (RAG / grounding と query fan-out), と why SEO best practices carry over.
• 暫定日本語案: In-Depth Guide to How Google Search Works — その crawl → index → serve foundation AI features are rooted in.

暫定日本語案: Bing / Microsoft

• 暫定日本語案: Introducing AI Performance in Bing Webmaster Tools (Feb 2026) — citation counts, cited ページ, と grounding queries — その first publisher view of Copilot citation data.
• 暫定日本語案: Optimizing for generative AI and public websites — Bing’s “make sure you’re indexed, そのn win その citation” framing.

暫定日本語案: Quotes from その source

暫定日本語案: On-その-record statements on wheそのr AI optimization is its own discipline. Each 暫定日本語案: link is a deep link that jumps to その quoted passage.

暫定日本語案: Google — “it’s still SEO”

• 暫定日本語案: “From Google Search’s perspective, optimizing 向け generative AI search is optimizing 向け その search experience, と thus still SEO.” 暫定日本語案: — Google Search Central, AI optimization guide. 暫定日本語案: Jump to quote
• 暫定日本語案: “The best practices 向け SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking と quality systems.” 暫定日本語案: Jump to quote
• 暫定日本語案: “Good SEO is good GEO.” 暫定日本語案: — Danny Sullivan, Google Search Liaison, via Search Engine Land (November 2025).

暫定日本語案: Microsoft Bing — indexed first, そのn win その citation

• 暫定日本語案: “Getting cited comes down to two things: first, make sure Bing has indexed your コンテンツ so it appears in result sets, と second, make sure your コンテンツ is clear, structured, と trustworthy enough to win その citation over competitors.” 暫定日本語案: — Microsoft Copilot guidance. 暫定日本語案: Jump to quote

暫定日本語案: Ryan Law, Ahrefs — it’s all just SEO

• 暫定日本語案: “その core mechanism 向け improving visibility in LLM output is: creating relevant コンテンツ on topics your brと wants to be associated とともに, both on と off your Webサイト. That’s SEO.” 暫定日本語案: — Ryan Law, GEO, LLMO, AEO… It’s All Just SEO (April 2025). 暫定日本語案: Jump to quote

暫定日本語案: What to ADD 向け GEO/AEO (don’t replace your SEO)

暫定日本語案: Assuming your SEO fundamentals are already in place — crawlable, indexable, quality 暫定日本語案: コンテンツ, sound architecture — そのse are その incremental moves that earn AI 暫定日本語案: visibility. None of そのm replace SEO work; そのy layer on top.

• 暫定日本語案: [ ] Earn unlinked brと mentions in credible third-party publications, 暫定日本語案: podcasts, と industry sites (その 0,664 signal — stronger than backlinks 向け AI).
• 暫定日本語案: [ ] Front-load every section’s answer — その specific question answered in その 暫定日本語案: first two or three sentences, そのn その supporting detail.
• 暫定日本語案: [ ] Add original data/research where you can — studies と comparison ページ 暫定日本語案: out-cite stとard blog posts in AI answers.
• 暫定日本語案: [ ] Establish entity clarity — consistent brと/author identity, Wikipedia/ 暫定日本語案: Wikidata where applicable, sameAs schema, consistent NAP.
• 暫定日本語案: [ ] Keep key ページ fresh — AI assistants lean toward recently updated material.
• 暫定日本語案: [ ] Drop keyword stuffing entirely — it’s -9% 向け AI citation (と it wasn’t 暫定日本語案: helping much in SEO eiそのr).
• 暫定日本語案: [ ] Don’t block AI クローラー if you want AI visibility — blocking removes you 暫定日本語案: from citations と doesn’t help traditional SEO.
• 暫定日本語案: [ ] Skip その “AI magic” busywork — no llms.txt, no AI-only schema; Google 暫定日本語案: ignores そのm.
• 暫定日本語案: [ ] Track brと mentions と AI citations alongside rankings (Ahrefs Brと 暫定日本語案: Radar, GSC AI features, Bing AI Per向けmance).

暫定日本語案: Traditional SEO vs. GEO/AEO — side by side

| 暫定日本語案: Factor | Traditional SEO | GEO / AEO | Notes | | 暫定日本語案: --- | --- | --- | --- | | 暫定日本語案: Authority signal | Backlinks / Domain Rating (0,326) | Brとed web mentions (0,664) | The structural inversion: unlinked mentions, near-worthless in SEO, are その strongest AI signal | | 暫定日本語案: コンテンツ quality | Foundation | Foundation | Same requirement; “good コンテンツ wins” carries over fully | | 暫定日本語案: Keyword use | Marginal benefit in some exact-match cases | -9% (keyword stuffing hurts) | AI scores fluency; repetitive text degrades citation | | 暫定日本語案: Rank-1 advantage | Dominant — #1 captures most clicks | None — rank-5 can be cited over rank-1 | Rank-5 +115,1% / rank-1 -30,3% from GEO tactics (Princeton paper) | | 暫定日本語案: Unlinked mentions | ~Zero value | Strongest signal (0,664) | This is その headline difference | | 暫定日本語案: Success metric | Position (e.g., avg. position 2,3) | Cited / not cited (presence) | No “outranking” — you’re in その citation set or not; harder to measure | | 暫定日本語案: AEO angle | n/a | “You ARE その answer” vs. GEO “you’re CITED” | AEO = extracted answer (voice/snippet origin); GEO = cited source (LLM era); overlap ~90% | | 暫定日本語案: Traffic profile | High volume | ~190x less traffic, but ~23x conversion | Google CTR 29,2% vs. ChatGPT 1,3% |

暫定日本語案: The priority model: SEO first, AI signals on top

暫定日本語案: 1. Do SEO first — it’s その foundation と その volume. 暫定日本語案: Crawlable, indexable, quality コンテンツ, authority, sound architecture. Google sends 暫定日本語案: orders of magnitude more traffic than every AI tool combined, と その AI features 暫定日本語案: are rooted in その same ranking systems. Skipping SEO to chase GEO is optimizing 暫定日本語案: その 0,5% と ignoring その 99,5%.

暫定日本語案: 2. Layer その incremental AI signals on top — そのy don’t conflict. 暫定日本語案: After baseline SEO, add その levers that are genuinely AI-specific:

• 暫定日本語案: Brと mentions (0,664) — その strongest AI signal, と a job 向け PR/social, not 暫定日本語案: just links.
• 暫定日本語案: Passage clarity — front-loaded answers, one question per section.
• 暫定日本語案: Entity clarity — well-established brと/author entities.
• 暫定日本語案: Freshness — keep key ページ current.

暫定日本語案: The only thing that “conflicts” is keyword stuffing, which hurt both anyway.

暫定日本語案: 3. Weight GEO/AEO more heavily when その audience justifies it. 暫定日本語案: The 23x conversion rate makes a tiny channel worth disproportionate ef向けt when:

• 暫定日本語案: High-converting B2B — AI visitors are pre-vetted, high-intent buyers.
• 暫定日本語案: Research と in向けmational queries — exactly where AI answers dominate その 暫定日本語案: experience と where being その cited source compounds.
• 暫定日本語案: Comparison と original-data コンテンツ — その コンテンツ types AI answers favor.

暫定日本語案: For low-margin, high-volume, broad-consumer plays, traditional SEO still does その 暫定日本語案: heavy lifting — let AI be additive, not a substitute.

暫定日本語案: Test yourself: GEO, AEO, と SEO

暫定日本語案: Resources worth your time

暫定日本語案: The “it’s all just SEO” case

• 暫定日本語案: Ryan Law, GEO, LLMO, AEO… It’s All Just SEO (Ahrefs) — その clearest articulation of その convergence argument.

暫定日本語案: My studies と data

• 暫定日本語案: AI Search Traffic Converts at 23x — Ahrefs Data — その conversion-quality gap.
• 暫定日本語案: Insights From 56 Million AI Overviews — what shows up in AI Overviews.
• 暫定日本語案: AI Search Traffic by Page Type — where AI traffic actually lとs.
• 暫定日本語案: Meet the New Web Crawlers — AI bots vs. search bots.

暫定日本語案: My speaking

• 暫定日本語案: GEO? AEO? LLMO? What’s With All This AI SEO Stuff? — Ahrefs Evolve 2025 (slides, video). My stとing disclaimer applies: this is my understとing, not gospel.

暫定日本語案: Ahrefs guides

• 暫定日本語案: Generative Engine Optimization (GEO) と その Answer Engine Optimization guide (Despina Gavoyannis) — その GEO と AEO playbooks.

暫定日本語案: The academic source

• 暫定日本語案: Aggarwal et al., GEO: Generative Engine Optimization (KDD 2024) — where その rank-5 lift と keyword-stuffing findings come from.

暫定日本語案: From around その industry

• 暫定日本語案: AI optimization guide (Google Search Central) — Google’s primary statement that optimizing 向け generative AI is “still SEO”; no additional requirements 向け AI Overviews.
• 暫定日本語案: Optimizing for generative AI and public websites (Microsoft) — Bing’s “get indexed, そのn win その citation” framing 向け Copilot.
• 暫定日本語案: Danny Sullivan: “Good SEO is good GEO” (Search Engine Lと) — Google’s Search Liaison compression of その convergence argument.
• 暫定日本語案: GEO: Generative Engine Optimization paper summary (arXiv / KDD 2024) — Aggarwal et al. original academic paper; その source of rank-5 +115,1% と keyword-stuffing -9% findings.

暫定日本語案: Stats worth citing

• 暫定日本語案: Brと mentions beat backlinks 向け AI. Brとed web mentions correlate 0,664 暫定日本語案: とともに Google AI Overview inclusion vs. Domain Rating at 0,326 — その structural 暫定日本語案: inversion, from Ahrefs’ 75 000-brと study by Louise Linehan と Xibeijia Guan. 暫定日本語案: Source
• 暫定日本語案: AI converts ~23x better. AI search visitors convert at roughly 23x その rate of 暫定日本語案: organic search in Ahrefs’ internal data — high-intent, pre-vetted users. 暫定日本語案: Source
• 暫定日本語案: Google sends ~190x more traffic than ChatGPT, と ChatGPT’s CTR is about 96% 暫定日本語案: lower (1,3% vs. 29,2%). Tiny channel, big conversion.
• 暫定日本語案: Keyword stuffing is -9% 向け GEO, と rank-5 ページ gained +115,1% in 暫定日本語案: citation frequency from GEO tactics while その rank-1 ページ lost ~30,3% — 暫定日本語案: Princeton GEO paper (Aggarwal et al., KDD 2024). 暫定日本語案: Source

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