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Frequently Asked Questions

Definitions of AEO, GEO, SEO, CEP, CDJ, and C³ Cube — plus everything about using Project AEGIS.

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AEO is the practice of structuring content so that AI answer engines — ChatGPT, Perplexity, Google AI Overview — select your brand as the cited source when generating responses.

While traditional SEO targets rank positions on search results pages (SERPs), AEO targets the single AI-generated answer. The core levers are FAQPage and HowTo JSON-LD structured data, E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals, and direct-answer paragraph structure that AI systems can reliably extract.
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GEO is the strategy of building your brand's Entity so that generative AI models (ChatGPT, Gemini, Claude) cite it as an authoritative external source when generating answers.

GEO has nothing to do with "geographic" optimization — it is a distinct AI marketing term. The key GEO signals are: original proprietary data, authoritative definition content, mainstream media mentions, Wikipedia presence, and allowing AI crawlers in robots.txt. If SEO is competing for search rank, GEO is architecting your brand's place inside AI knowledge systems.
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SEO targets search result rank positions. AEO targets AI answer citation. GEO targets brand Entity building inside generative AI knowledge systems.

SEO (Search Engine Optimization): Rank higher on Google and Naver. Technical structure, backlinks, meta tags, and structured data are the levers. AEO (Answer Engine Optimization): When AI generates a single "definitive answer," get your brand included as the cited source. FAQPage/HowTo schema and E-E-A-T signals are core. GEO (Generative Engine Optimization): Build brand authority so that generative AI learns to include your brand in answers — through original research, media mentions, Wikipedia, and co-occurrence with category keywords. Project AEGIS diagnoses and executes all three strategies across 38 metrics.
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A CEP is the specific situation or mental trigger that causes a consumer to recognize a need and turn to AI or search for solutions.

CEP originates from the Ehrenberg-Bass Institute's concept of Category Entry Points — the mental cues that activate category consideration. Project AEGIS's C³ Cube extends this to Context Entry Points, capturing the intersection of situation (Context) × purchase journey stage (Conversion) × cognitive intent (Cognition). AEGIS Signal auto-clusters up to 15 CEPs from live SERP data, supporting 7 market presets (Korea, US, UK, Australia, Canada, UAE, Global) with output language selection.
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The CDJ is the full process from problem recognition to purchase decision, structured as 4 stages: Awareness → Consideration → Decision → Loyalty.

In Project AEGIS's C³ Cube, the CDJ is reframed as the Conversion (C²) axis — going beyond merely observing the journey to mapping what content types AI answer engines cite at each stage, and activating them as a conversion optimization layer. AEGIS Pathfinder analyzes all 4 CDJ stages using live SERP data across 7 market presets (Korea, US, UK, Australia, Canada, UAE, Global), with input/output language selection.
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C³ Cube is Project AEGIS's core strategic framework: Context (CEP) × Conversion (CDJ) × Cognition (Intent), where each cell defines the exact content needed to be cited by AI for that buyer situation.

C³ Cube clusters up to 15 CEPs from live SERP data, then analyzes each CEP's CDJ stage and Cognition type (informational, navigational, commercial, transactional) to auto-generate a Hub & Spoke content structure and execution plan. The full pipeline connects to FORGE for automatic AEO/GEO-optimized content generation.
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The AEGIS Index is a composite AI search visibility score: SEO×0.25 + AEO×0.25 + GEO×0.50, on a 0–100 scale.

GEO carries 2× weight because generative AI search is the primary driver of future brand visibility. SEO below 30 triggers a Critical Fail (Index = 0). Scores between SEO 30–50 apply a gating coefficient. Your score maps to one of 8 AEGIS scenarios (S1 PHANTOM → S8 AEGIS), each with a tailored 90-day prescription.
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Project AEGIS is the Marketing OS for the AI search era — an integrated intelligence platform covering 38-metric SEO·AEO·GEO diagnosis, market analysis, strategy, and content generation in one pipeline.

Powered by Gemini 2.5 Flash + Google Search Grounding for real-time analysis. The 5-stage pipeline: ① Insight (diagnosis) → ② AESA Radar (market analysis) → ③ C³ Cube (strategy) → ④ FORGE (content generation) → ⑤ Content Editor (editing & publishing).
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Enter a URL and click ANALYZE. Structural scan runs automatically, followed by Gemini AI analysis of 38 metrics. You receive your AEGIS Index, 8-scenario prescription, and 90-day roadmap in about 5 minutes.

1. Open /tools/insight 2. Enter the URL to analyze (required) 3. Add brand name and seed keywords (optional — improves accuracy) 4. Click ANALYZE 5. Structural scan runs automatically — HTML, sitemap, robots.txt parsed server-side, no tokens, ~3 seconds 6. Gemini AI analysis runs — SEO/AEO/GEO 38 metrics + scenario prescription + 90-day roadmap (~1–2 min) 7. Review results — AEGIS Index, scenario badge, per-tab detailed diagnosis, structural scan panel, page-level diagnosis button
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Before calling Gemini, AEGIS Insight parses the target site's HTML, robots.txt, and sitemap.xml server-side to replace AI estimates with real measured values for structural metrics.

The structural scan is a pre-analysis phase that runs server-side without consuming Gemini tokens. Measured items: • HTTPS, HTTP status code, title, meta description, canonical, viewport • JSON-LD schema types (Organization, FAQPage, HowTo, Article, etc.) • OG tags (og:title, og:description, og:image) • H1–H3 heading counts, image alt coverage, internal link count • robots.txt — AI crawler allowlist (GPTBot, ClaudeBot, PerplexityBot, and 6 more) • sitemap.xml — URL parsing + automatic AEGIS A·E·G·I·S category classification These real values are injected into the Gemini analysis prompt, improving structural metric reproducibility from AI estimation (~55%) to measured data (~100%).
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Yes. After the main diagnosis, the "Precision Page Diagnosis" panel at the bottom of the results lets you analyze up to 7 representative pages by AEGIS category (Pro Beta).

After the main diagnosis completes, click "Start Precision Diagnosis" in the Phase 3 panel at the bottom of the results page. Pages are auto-selected from your sitemap based on the AEGIS framework: • A (Acquisition) — AI visibility pages: About, Contact, Author, Team • E (Engagement) — Brand entry pages: Home, Product, Pricing, Services • G (Generation) — AI citation content: Blog, Research, Insights, Reports • I (Intelligence) — CDJ/CEP strategy: Guides, Tools, FAQ, Docs • S (Sales) — Conversion creatives: Landing pages, Category pages Each page receives SEO/AEO/GEO scores + AEGIS Index + 3 top issues + 2 quick wins. Token cost: ~15–20K per page, ~75–140K total for 7 pages.
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AEGIS Insight parses sitemap.xml and automatically classifies up to 300 URLs into the 5 stages of the AEGIS marketing framework — Acquisition, Engagement, Generation, Intelligence, Sales.

A (Acquisition) — AI visibility stage · Authority pages: About, Contact, Author, Team E (Engagement) — Brand entry stage · Entry pages: Home, Product, Pricing, Services G (Generation) — AI citation stage · Citable content: Blog, Research, Insights, Reports I (Intelligence) — CDJ/CEP strategy stage · Guides, Tools, FAQ, Docs S (Sales) — Conversion stage · SEO landing pages, category pages, /compare This classification uses the same 5-stage AEGIS marketing framework as the main platform. In the structural scan panel, click any category to see its full URL list.
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FORGE is an AI creative studio that auto-generates 5 content types — AEO blogs, LinkedIn posts, Instagram captions, ad copy, and influencer briefs — with SEO/AEO/GEO optimization rules pre-baked.

FORGE receives CEP and CDJ insights from Signal, Pathfinder, and C³ Cube to generate contextually optimized content. AEO blog drafts include FAQPage and HowTo JSON-LD schema. All content can be translated into 4 languages (EN, JA, ZH-CN, ZH-TW) with one click. The OSMU tab can convert a fresh draft or any already-published post at once for Facebook, LinkedIn, Naver Blog, Tistory, and Instagram — each version automatically includes the canonical link and hero image, and generated results are saved so reopening a post shows them instantly without regenerating.
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Yes. Both Pathfinder and Signal support 7 market presets — Korea, US, UK, Australia, Canada, UAE, and Global — with Google SERP collection targeted to each country.

Select your target market in the input form and the tool queries Google SERP with the appropriate country/language parameters. Pathfinder: Select target market + input language (Korean/English) + output language (Korean/English) independently. Example: Korean topic input + US market → Gemini auto-generates English search keywords → collects US Google SERP → outputs CDJ analysis in Korean or English. Signal: Select target market + output language (Korean/English). Default data volume is 50 snippets for better representativeness. When a non-Korean market is selected, Naver is automatically excluded and search volume potential is estimated from Google SERP features (AI Overview, PAA, Featured Snippet, etc.) rather than Naver Ad API data. All analysis tools (Insight, AESA, C³, FORGE) also output in English when the platform language is set to EN.
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AEGIS Insight, Pathfinder, and Signal are free to try without an account, with more runs unlocked after you sign up.

Without an account, you get 1 free run of Insight and 2 each of Pathfinder and Signal (5 total). Signing up expands this to 2 for Insight and 4 each for Pathfinder and Signal (10 total). Advanced tools — C³ Cube Strategy, AESA Radar, Vision, and FORGE — plus any additional usage are available on request: reach out through the Pricing page to request access.
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Yes — in fact, AEO and GEO deliver the highest ROI in B2B and high-consideration industries where buyers ask AI deeply specific questions during long decision journeys.

When a B2B buyer asks ChatGPT "best enterprise CRM for manufacturing companies with 500+ users," the brand that has built authority at that specific CEP context and CDJ stage wins the consideration. The narrower and more specialized the query, the less competition exists at the AI answer layer — making AEO/GEO a disproportionate advantage for B2B. Enterprise plan includes dedicated onboarding and API integration.
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