Example Report
This is a public DefaultAnswer report generated for defaultanswer.com using the same methodology applied to all sites.
DefaultAnswer Report
DefaultAnswer Report: defaultanswer.com
AI Recommendation Analysis for https://defaultanswer.com
This does not measure SEO or traffic - only whether AI would recommend you.
Do this next (15-30 minutes)
Pricing tells AI you sell something and who it is for.
Pricing Starter - $X/mo - Best for [audience] - Includes [core feature] Growth - $Y/mo - Best for [team size/use case] - Includes [advanced feature] Enterprise - Contact us Mini table: | Plan | Price | Best for | | --- | --- | --- | | Starter | $X/mo | [audience] | | Growth | $Y/mo | [team/use case] |
My current belief about your site
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My current belief about your site
Default Answer Readiness
Strong Default Candidate
Your site provides clear signals that allow AI to confidently identify, trust, and recommend your brand.
I can retrieve your title makes the entity explicit and your page summary is explicit. The primary uncertainty is No clear pricing is visible on the homepage. When users ask me "What's the best affordable X?" or "Compare pricing for X solutions", I cannot include DefaultAnswer in my response because I don't know its pricing tier..
This does not measure SEO or traffic - only whether AI would recommend you.
Why I'm not confident recommending you yet
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Why I'm not confident recommending you yet
- No clear pricing is visible on the homepage. When users ask me "What's the best affordable X?" or "Compare pricing for X solutions", I cannot include DefaultAnswer in my response because I don't know its pricing tier.
To recommend you without hesitation, I need direct answers that I can retrieve, not infer.
Why monitoring tools show low visibility
Based on actual gaps detected in your current snapshot
Signal Detection Summary
Commercial Clarity
highMissing: Pricing information
No pricing information found at common paths (/pricing, /plans) or homepage
Who appears in monitoring tools instead
- Sites with visible pricing and plan comparison tables
Next step to improve visibility
Add a Pricing section or page with clear plan names and what users get.
Where AI Might Recommend Alternatives Instead
Based on gaps in this snapshot, here is where competitors gain citation preference.
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Where AI Might Recommend Alternatives Instead
Based on gaps in this snapshot, here is where competitors gain citation preference.
When users ask: “How much does DefaultAnswer cost?”
AI is more likely to cite sites that: show pricing or plan details clearly
Why you lose here: commercial terms are unclear in this snapshot
When users ask: “What is DefaultAnswer?”
AI is more likely to cite sites that: state their category and value clearly in titles and headings
Why you lose here: your entity definition is less explicit in this snapshot
How AI Interprets Your Brand
Based on detected signals, here's how an LLM interprets DefaultAnswer's page:
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How AI Interprets Your Brand
Based on detected signals, here's how an LLM interprets DefaultAnswer's page:
"No clear pricing is visible on the homepage. When users ask me "What's the best affordable X?" or "Compare pricing for X solutions", I cannot include DefaultAnswer in my response because I don't know its pricing tier."
"When asked "What is DefaultAnswer?", I can confidently extract that the title "DefaultAnswer - How AI decides which websites to recommend" and main heading "How AI decides which websites to recommend" establish DefaultAnswer as a clear entity in its category."
"The page has 7 well-organized sections with descriptive headings. This structured layout helps me understand the product's features, benefits, and use cases — making it easier to cite DefaultAnswer when answering relevant queries."
These interpretations directly influence whether AI selects your brand as a default answer.
Score Breakdown
Your score is calculated from 11 signals that influence LLM recommendations:
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Score Breakdown
Your score is calculated from 11 signals that influence LLM recommendations:
Title "DefaultAnswer - How AI decides which websites to r..." includes brand name
Meta description found (139 chars)
H1 "How AI decides which websites to recommend..." clearly describes the offering
Found 1 H1 heading(s)
Found 7 H2 headings providing good structure
Headings are descriptive and meaningful
FAQ section detected on page
JSON-LD structured data found (types: Organization, WebSite, Service, FAQPage)
About/Company/Team page link found
Contact signals found (email found, support/contact link)
No pricing information found — unclear what users get
Evidence (What I saw)
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Evidence (What I saw)
Page text signals
Title: DefaultAnswer - How AI decides which websites to recommend
Meta description: —
H1: How AI decides which websites to recommend
H2s (first 8):
- Why AI systems hesitate to recommend websites
- AI recommendations are not search rankings
- What determines whether AI will recommend your site
- What an AI recommendation audit actually shows
- Built so AI can safely cite you
Schema / structured data
Schema types: [Organization, WebSite, Service, FAQPage]
JSON-LD sample: —
About / Contact / Answerability / Pricing
About evidence:
—
Contact evidence:
- email found, support/contact link
FAQ / Answerability:
- Explicit FAQ detected: yes
- Indirect FAQ links: —
- Direct-answer snippets: —
FAQ signals: explicit=true, indirectLinks=0, directAnswerSnippets=3
Pricing evidence:
—
What AI Recommends Instead
Based on your score, here's how you likely compare to competitors in LLM recommendations:
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What AI Recommends Instead
Based on your score, here's how you likely compare to competitors in LLM recommendations:
| Competitor Type | Mention Likelihood | Why They Win |
|---|---|---|
| Sites with FAQ sections | You have this | Q&A format matches how users query LLMs |
| Sites with Schema markup | You have this | Structured data helps AI categorize entities |
| Sites with clear pricing | Medium | Commercial clarity signals legitimate business |
Where AI Likely Recommends Alternatives
Based on missing signals, AI tends to favor:
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Where AI Likely Recommends Alternatives
Based on missing signals, AI tends to favor:
- Sites with clear 'How it works' sections explaining the workflow
- Sites with explicit pricing or plans visible on the homepage
LLM Recommendation Simulation (Beta)
Simulation based on your snapshot + general LLM behavior. No real-time model calls to competitors.
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LLM Recommendation Simulation (Beta)
Simulation based on your snapshot + general LLM behavior. No real-time model calls to competitors.
Live AI Recommendation Check
Paste a real AI answer to see how your brand was positioned. No model calls are made.
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Live AI Recommendation Check
Paste a real AI answer to see how your brand was positioned. No model calls are made.
Why Competitors Win
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Why Competitors Win
When users ask open-ended questions, AI models favor sites that expose direct answers, structured sections, and explicit entity definitions. Sites missing those signals are often skipped — even when their underlying content quality is strong.
Why You're Not the Default
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Why You're Not the Default
LLMs select default answers based on authority signals, content structure, and entity recognition. The following gaps were identified:
- No clear pricing is visible on the homepage. When users ask me "What's the best affordable X?" or "Compare pricing for X solutions", I cannot include DefaultAnswer in my response because I don't know its pricing tier.
Metadata
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Metadata
- Report ID
- 5863ce53-d7b7-44a1-b84d-4de5c0c1f35c
- URL Analyzed
- https://defaultanswer.com
- Domain
- defaultanswer.com
- Brand
- DefaultAnswer
- Page evaluated
- Homepage HTML snapshot
- Evaluated URL
- https://defaultanswer.com
- HTTP status
- 200
- Content type
- text/html; charset=utf-8
- Bytes
- 67,209
- Snapshot quality
- ok
- Fetch timestamp
- 2025-12-21T18:34:53.192Z
- Generated At
- 2025-12-21T18:34:56.133Z
- Prompt Pack
- v1
- DefaultAnswer Version
- v1.12
- Scoring Engine
- v1.1
- Score
- 85/100
- Analysis Type
- Real (V1.11)
Learn more about how this works
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Learn more about how this works
Generated by DefaultAnswer v1.12 — LLM Recommendation Intelligence