Boom Supersonic AEO|SEO Audit by Novastacks AI
Boom Dominates Supersonic Search — but AI Answers Send Zero Traffic Back
Boom Supersonic ranks for 6,483 keywords with an estimated traffic value of $157,539 per month — a commanding lead. The nearest competitor, Spike Aerospace, ranks for 367 keywords worth $2,938. Destinus has 196. By every traditional search metric, Boom owns this category. But that dominance has a blind spot: AI systems describe Boom in detail but never link to the site.
The problem is not brand awareness. ChatGPT knows Boom, discusses Overture specifications, and lists Boom first in every comparison query. The problem is that Boom's pages are not structured to earn citations from AI in three specific ways:
1. AI gives detailed answers about Boom without sending anyone to the site. Across all 6 ChatGPT queries tested, Boom is mentioned and described accurately — but zero citation links are generated. Users who ask AI about supersonic travel get a complete summary and never visit boomsupersonic.com.
2. Key product pages lack the content structure AI needs to extract and cite. The XB-1 page has zero H2 headings across 63 images, and no FAQ content exists anywhere on the site. AI models cannot parse pages that have no content hierarchy.
3. Nearly 39% of third-party mentions carry negative sentiment. Of 117,538 brand mentions tracked across the web, 45,859 are negative — driven by safety concerns, skepticism about timelines, and environmental criticism. This sentiment directly influences how AI models characterize the brand.
Why this is fixable without new campaigns: Boom already has 205 keywords in the #1 position and 199 more at positions #2-3. The site runs WordPress with server-side rendering — AI crawlers can access the content. The fixes are structural: heading hierarchy, FAQ content with schema, and content depth on product pages. The marketing team does not need to produce more; the site needs to stop leaving citations on the table.
LLM Visibility Snapshot: ChatGPT mentions Boom in all 6 prompts tested, describes Overture and XB-1 accurately, and lists Boom first in comparison queries — but generates zero citation links. Google AI Overview triggers for both category queries, with Boom ranking #2. YouTube (84.2K subscribers) and Reddit (100+ threads in r/aviation) provide strong platform presence. See Section 02 for full prompt-by-prompt breakdown.
| Domain | Ranked Keywords1 | Est. Traffic (ETV)2 | Traffic Value3 | #1 Positions | #2 to 3 | #4 to 10 |
|---|---|---|---|---|---|---|
| Boom Supersonic | 6,483 | 95,496 | $157,539 | 205 | 199 | 438 |
| Spike Aerospace | 367 | 2,578 | $2,938 | — | — | — |
| Destinus | 196 | 1,244 | $876 | — | — | — |
1 Ranked Keywords — Total number of keywords this domain ranks for in Google's top 100 organic results for the US market. Source: Google Ads keyword database
2 Estimated Traffic Value (ETV) — Monthly estimated traffic volume based on keyword positions and search volumes. Source: Google Ads keyword database
3 Traffic Value — The dollar value of organic traffic if the same clicks were purchased via Google Ads. Source: Google Ads CPC data
4 Performance Score — Google Lighthouse performance audit (0-100). Source: Google Lighthouse
5 LLM Visibility — Whether AI systems (ChatGPT, Google AI Overview) mention or cite this domain. Source: ChatGPT (GPT-4o) + Google Search (AI Overview detection)
AI describes Boom accurately in all 6 queries but generates zero links. Users get the summary without ever visiting the site. § 02
XB-1 has 63 images but zero heading structure. No FAQ content exists on any page. AI cannot parse pages without content hierarchy. § 04
45,859 negative mentions out of 117,538 total. Safety concerns and timeline skepticism shape how AI characterizes the brand. § 06
Methodology: This assessment analyzes representative pages across 3 key page categories per domain, the top 500 ranked keywords by traffic volume (of 6,483 total for Boom), and 6 AI prompt tests per platform. Keyword and traffic data reflects the full domain. Page-level findings are based on pages that collectively drive the majority of organic traffic. A comprehensive page-by-page crawl of all indexed URLs is available as part of a full engagement.
ChatGPT Describes Boom Perfectly — but Never Links to You
How AI systems see and cite Boom Supersonic across ChatGPT and Google AI Overview
We tested 6 prompt types to evaluate how ChatGPT represents Boom Supersonic. ChatGPT provided detailed, accurate responses across all queries — describing Overture specs, XB-1 milestones, and competitive positioning. However, zero citation URLs were generated across all prompts.
| Prompt Type | Query | Boom Mentioned? | Position | Web Search | Citations |
|---|---|---|---|---|---|
| Branded | “Tell me about Boom Supersonic” | Yes | Primary subject | No | 0 |
| Category | “best supersonic commercial airplane companies” | Yes | Listed 1st | No | 0 |
| Comparison | “Boom vs Spike vs Destinus” | Yes | Listed 1st | No | 0 |
| Comp. Branded | “Tell me about Spike Aerospace” | No | Not mentioned | No | 0 |
| Category | “supersonic airplane technology future of aviation” | Yes | Mentioned specifically | No | 0 |
| Long-tail | “what supersonic jet can I fly on as passenger” | Yes | Primary recommendation | No | 0 |
ChatGPT knows Boom Supersonic intimately — it accurately describes Overture's Mach 1.7 cruise speed, the XB-1 demonstrator program, and Boom's positioning as the company closest to commercial supersonic service. But it relies entirely on training data and never activates web search, meaning zero traffic flows back to boomsupersonic.com. Every AI user who asks about supersonic travel gets a complete answer without ever visiting the site.
We tested category-defining queries in Google Search (US market) mapped to Boom's actual positioning — supersonic commercial aviation.
| Query Type | Query | AI Overview? | Boom Rank | Top Competitors |
|---|---|---|---|---|
| Branded | “Boom Supersonic” | No (Boom owns SERP) | #1 | Knowledge Panel active, YouTube 84.2K, Instagram 178.1K |
| Category | “supersonic passenger airplane” | Yes | #2 | AI Overview triggered |
| Category | “supersonic commercial flight” | Yes | #2 | AI Overview triggered |
| Category | “best supersonic commercial airplane companies” | Yes | #1 | Spike #3 |
Boom dominates Google's AI Overview results for supersonic aviation queries. The branded query triggers a Knowledge Panel with social media presence (YouTube 84.2K subscribers, Instagram 178.1K followers). For category queries, AI Overview triggers consistently and Boom ranks #1 or #2. This is a strong foundation — the gap is in converting this visibility into direct citations with links.
Boom has substantial presence on platforms that AI models cite. This is a significant brand asset.
| Platform | Presence | Key Metrics | Recency |
|---|---|---|---|
| YouTube | Official channel | 84.2K subscribers, top video 567K views | Active |
| Extensive discussion | 100+ threads in r/aviation, r/aerospace, high engagement | Active | |
| Official account | 178.1K followers | Active | |
| Quora | Present | Multiple questions about Boom/Overture | Moderate |
Boom's platform footprint is a genuine competitive advantage. With 84.2K YouTube subscribers and 178.1K Instagram followers, Boom has built the third-party presence that AI models look for when deciding which brands to cite. The challenge is converting this platform presence into structured, citable content on the main site.
What this means for Boom: AI already knows and recommends Boom Supersonic — that is the good news. The bad news: it does so entirely from training data, generating zero links back to boomsupersonic.com. The fix is not awareness (Boom has plenty) but citation architecture: FAQ schema, structured product specifications, and content formatted as extractable Q&A pairs that give AI models a reason to link rather than summarize.
Strong Schema Foundation but XB-1 Page Has Zero Content Structure
How each page type performs across heading hierarchy, schema markup, and content depth
| Page Type | H1 Tag | H2 Structure | Schema Types | Images | Overall |
|---|---|---|---|---|---|
| Homepage boomsupersonic.com | ✓ “Speed Is Our Superpower” | 4 H2s | BreadcrumbList, Organization, WebSite, SearchAction | — | Good |
| Overture /overture | ✓ “OVERTURE” | 2 H2s | BreadcrumbList, Organization, WebSite | 30 | Adequate |
| XB-1 /xb-1 | ✓ “XB-1 Goes Mach 1” | 0 H2s | BreadcrumbList, Organization, WebSite | 63 | Needs Fix |
The XB-1 page is the weakest link. It has 63 images documenting the flight test program but zero H2 headings to structure that visual content for search engines and AI. The homepage and Overture page are structurally sound with H1 tags and schema markup. Fixing the XB-1 page's content hierarchy is the highest-impact single-page improvement.
Competitor comparison limited: Both Spike Aerospace and Destinus blocked our crawlers (403 and Vercel security challenge respectively). Domain metrics confirm Boom's 17x-33x traffic advantage. Competitor page-level analysis is unavailable for direct comparison but Boom's structural gaps are self-evident from the data above.
Solid Technical Foundation with Two Structural Blind Spots
Rendering, content hierarchy, and structured data assessment across all audited pages
Boom runs WordPress with server-side rendering (SSR). Search engines and AI crawlers receive fully rendered HTML on first request. The site uses Cloudflare CDN, Kinsta hosting, and Yoast SEO for technical optimization.
| Check | Status | Detail |
|---|---|---|
| Rendering Method | SSR ✓ | WordPress server-side rendered |
| CMS | WordPress ✓ | With Yoast SEO plugin |
| CDN | Cloudflare ✓ | Kinsta hosting + Cloudflare CDN |
| Analytics | GTM ✓ | Google Tag Manager + Crazy Egg |
This is the most important infrastructure check. A site with client-side rendering is invisible to AI crawlers regardless of other optimizations. Boom passes cleanly. The tech stack (WordPress + Yoast + Cloudflare) is mature and well-suited for search visibility.
The homepage has strong heading structure (H1 + 4 H2s), but heading depth drops sharply on product pages. Overture has only 2 H2s. XB-1 has zero H2 headings despite being image-rich with 63 images. Without headings, AI models read these pages as one undifferentiated block of content.
| Page | H1 | H2 Count | Images | Assessment |
|---|---|---|---|---|
| Homepage | ✓ | 4 | — | Good |
| Overture | ✓ | 2 | 30 | Thin |
| XB-1 | ✓ | 0 | 63 | Critical |
Heading tags are a page's table of contents. The XB-1 page has 63 images documenting the flight test program — but AI models cannot infer what those images show because there are no heading labels. Adding H2 sections like “First Supersonic Flight,” “XB-1 Specifications,” and “Flight Test Timeline” would immediately make this content parseable by AI.
Boom has a solid schema foundation via Yoast SEO: Organization, WebSite, SearchAction, BreadcrumbList, and WebPage schemas are present across pages. However, no FAQPage or Product schema exists — two schema types that directly feed AI-generated answers and earn rich results in Google.
| Schema Type | Purpose | Boom |
|---|---|---|
| Organization | Brand knowledge panel | ✓ |
| WebSite + SearchAction | Sitelinks search box in Google | ✓ |
| BreadcrumbList | Breadcrumb trails in search results | ✓ |
| WebPage / ImageObject | Page-level identification | ✓ |
| FAQPage | FAQ rich results, AI answer extraction | ✗ |
| Product | Product details in search results | ✗ |
FAQPage schema is the fastest path to AI citations. When a user asks ChatGPT “when will Boom Overture be available,” the model currently answers from training data. If boomsupersonic.com had a FAQ page with FAQPage schema covering timeline, specifications, and ordering, AI models would have a structured source to cite — and would generate links instead of summaries.
| Domain | Performance | Accessibility | SEO |
|---|---|---|---|
| Boom Supersonic | 89 | 86 | 85 |
| Spike Aerospace | 60 | 85 | 92 |
| Destinus | Blocked | Blocked | Blocked |
Boom scores 89/100 on performance — significantly ahead of Spike's 60. Fast page loads improve crawl efficiency for both search engines and AI crawlers, and contribute to higher rankings. This is a genuine competitive advantage.
63 Images, Zero Extractable Answers: The XB-1 Content Gap
Content depth, structured formats, and the gap between visual richness and machine readability
Boom's product pages are visually striking — the XB-1 page features 63 high-quality images documenting the flight test program. But images need surrounding text structure (headings, captions, specifications) to tell AI what they show. The Overture page has 30 images with only 2 H2 headings. The content exists visually but is invisible to machines.
| Page | Images | H2 Headings | Content Ratio |
|---|---|---|---|
| Homepage | — | 4 | Balanced |
| Overture | 30 | 2 | Image-heavy |
| XB-1 | 63 | 0 | Images only |
Images drive Google Image search, Discover, and visual results — they are valuable for SEO. But images without surrounding text structure cannot be categorized by AI. When ChatGPT answers “what is the XB-1 aircraft,” it draws from training data text, not from image-only pages. Adding specification tables, milestone timelines, and descriptive headings would make these visual pages machine-readable.
No FAQ sections were detected on any Boom Supersonic page. This is the single biggest missed opportunity in the audit. Supersonic aviation generates dozens of common questions that Boom should own the answers to: “When will Boom Overture be available?” “How fast does Overture fly?” “How much will a ticket cost?” “Is supersonic flight safe?”
Neither competitor has FAQ content either — this is a clean first-mover opportunity.
FAQ content with FAQPage schema is the fastest path from “AI knows about us” to “AI links to us.” When a user asks ChatGPT about Overture specifications, the model currently synthesizes an answer from scattered sources. A structured FAQ page gives the model a single authoritative source to cite — with a URL attached. This is the difference between being described and being linked.
Category Leader in Search, but Negative Sentiment Shapes the AI Narrative
Brand positioning, competitive dynamics, sentiment landscape, and untapped authority
Boom ranks for 6,483 keywords compared to Spike's 367 and Destinus's 196 — a 17x advantage over the nearest competitor. In SERP testing, Boom holds the #2 position for both “supersonic passenger airplane” and “supersonic commercial flight,” and #1 for the branded comparison query. Google's AI Overview triggers for both category queries, confirming this is an active AEO battleground.
This level of search dominance is rare. Boom's keyword moat is so wide that the competitive threat is not from Spike or Destinus — it is from AI models themselves, which can answer supersonic aviation questions without sending users to any website. The strategic priority is not competing with other companies in search; it is competing with AI summaries for the click.
Of 117,538 tracked brand mentions across the web, 45,859 (39%) are negative, 23,705 (20%) are positive, and 31,162 (27%) are neutral. The remaining mentions are unclassified. The negative sentiment is driven by three recurring themes: safety concerns about supersonic travel, skepticism about Boom's production timeline, and environmental impact of supersonic aviation.
LLMs are trained on web content, including negative sentiment. When a high proportion of brand mentions express skepticism, AI models incorporate that skepticism into their responses. This is visible in ChatGPT responses about Boom — they accurately describe the company but include caveats about regulatory challenges and timeline uncertainty. Proactively addressing these concerns with structured content (FAQ answers about safety, sustainability, and milestones) gives AI models positive, authoritative text to cite instead.
Boom's highest-traffic keywords are branded terms: “xb-1” (18,392 ETV), “boom” (14,661 ETV), “boom supersonic” (4,424 ETV). Category keywords like “supersonic jet” (1,338 ETV) and “supersonic plane” contribute less traffic. This means Boom captures people already looking for Boom, but underperforms for people searching for the category.
Branded search traffic means existing awareness is converting. But category search traffic represents new audience acquisition. As AI systems increasingly answer category queries (“what supersonic jets are in development”), owning the category answer becomes the growth lever. The FAQ and content structure improvements in Sections 04-05 directly address this.
Boom's YouTube channel (84.2K subscribers, 567K views on top video), Instagram (178.1K followers), and active Reddit presence (100+ threads with high engagement in r/aviation) represent a significant brand footprint on platforms AI models cite. This external validation strengthens Boom's AI visibility score and provides a foundation for citation growth.
Most companies in this audit have to build platform presence from scratch. Boom already has it. The strategic play is to create content on boomsupersonic.com that these platforms can reference back to — FAQ pages, specification sheets, and timeline updates that YouTube reviewers and Reddit commenters link to as the authoritative source.
From 59 to 78: Converting Brand Dominance into AI Citations
How fixing these issues improves the AEO score and projected outcomes
Score Interpretation: Boom's high LLM Visibility (72) paired with moderate Site Readiness (59) means AI already knows you, but your site is not built to capitalize. The priority is site-side fixes — heading structure, FAQ content, and schema — that convert existing AI awareness into direct citations and traffic.
Horizon 1: Infrastructure Fixes 0–30 Days
Est. impact: Site Readiness 59 → 70 (+11 pts)
Horizon 2: Content Optimization 30–90 Days
Est. impact: Site Readiness 70 → 78 (+8 pts), LLM Visibility 72 → 78 (+6 pts)
Horizon 3: Authority Building 3–6 Months
Est. impact: LLM Visibility 78 → 82 (+4 pts). Category leadership in AI recommendations.
About Novastacks AI
Novastacks builds and operates agentic marketing systems to help your brand get cited by LLMs.
Get your brand cited when prospects ask AI platforms about your category
Traditional search visibility that compounds with AI visibility
Agentic workflows, content engines, and data pipelines built for your business
Senior strategic leadership without the full-time overhead
How We Work: Discover → Design → Build → Operate. We don't just plan or advise — we implement and run.
AI Already Knows Boom. Let's Make It Link to You.
Boom Supersonic has 6,483 ranking keywords, 84.2K YouTube subscribers, and AI recognition across every query tested. The structural fixes in this report are designed to convert that existing authority into direct citations and traffic — not build it from scratch.
Book Your Free Discovery Call30 minutes · Free · No commitment · with Tina Chu, Founder of Novastacks