AEO/SEO Evaluation — Comprehensive Article Page HTML Audit

Abstract

This report provides a detailed AEO/SEO technical audit of a product/service landing page for “Frevana”, scored at 67/100. All key technical, structural, and accessibility weaknesses are methodically assessed, covering canonical and robots meta tags, structured data/schema, content quality, image accessibility, and semantic markup. Each section presents original code snippets, actionable recommendations, and a repair priority table, preserving all original details and existing data verbatim for implementation tracking. The findings aim to maximize search engine and Answer Engine Optimization, including eligibility for advanced Google and AI answer features.

Overview

Overall Page Score: 67/100
Top 5 Priority Issues:
1. No Canonical Tag: Missing; risk of duplicate content/SEO dilution.
2. No Structured Data (JSON-LD): No schema markup; losing eligibility for AEO/SEO rich results.
3. No Unique <article>/Main Schema: Main content is not wrapped in <article>, impacts main content recognition.
4. Image alt Attributes Incomplete: Some key images lack alt attributes or use file-path/incomplete descriptions.
5. Answer-First/AEO-optimized Layout: Opening section does not directly answer a clear core question (intent mismatch for AEO/featured answers).
Page Type Judgment:
- Type: Product/Service Landing/Marketing Page
- Reason: Page markets “Frevana” SaaS, not a news/blog/article (sections include feature table, testimonials, pricing, FAQ). No post meta, author/date, or blog/article wrapper.

Detailed Assessment

1. Crawlability

Section Score: 14/20
Conclusion: Needs Improvement

Findings & Evidence:

No <meta name="robots"> tag:
- Locator: Not found in <head>
- Snippet: N/A
No <link rel="canonical">:
- Locator: Not found in <head>
- Snippet: N/A
Language Attribute Present:
- Locator: <html lang="en">
- Snippet: <html lang="en">
Main Content Wrapped in <main>:
- Locator: <main class="flex-grow md:mt-[70px] mt-[58px]">
- Snippet: Present, but no <article>
Reference 2 (Crawler Analysis): Dynamic JS rendering, content only visible after hydration.

Impact & Risk:

Lack of canonical undermines authority; missing robots tag leaves intent unclear; JS dependence increases risk for less-sophisticated bots, but Googlebot should parse.

Repair Recommendations:

Add <link rel="canonical" href="https://www.frevana.com/homepage"> to <head>
Add <meta name="robots" content="index,follow">
Consider adding <article> for main content.

<link rel="canonical" href="https://www.frevana.com/homepage">
<meta name="robots" content="index,follow">

2. Title & Meta Information

Section Score: 18/20
Conclusion: Pass

Findings & Evidence:

Title:
- Locator: <title>
- Snippet: <title>Frevana - Maximize Your Brand's Visibility in AI Answers</title>
- Length: 52 chars.
- Keyword Placement: Good, core "Frevana, Brand, Visibility, AI Answers".
Meta Description:
- Locator: <meta name="description">
- Snippet: <meta name="description" content="Optimize your presence across ChatGPT, Gemini, Amazon Rufus and more — where millions of customers make purchase decisions daily.">
- Length: 117 characters; clear, concise, strong commercial intent.
Meta Keywords: Present but of little modern SEO value:
<meta name="keywords" content="AI,AEO,AI visibility,ChatGPT,Gemini,AI marketing,brand visibility,AI agents">
Open Graph:
- <meta property="og:title" content="Frevana - Maximize Your Brand's Visibility in AI Answers">
- <meta property="og:description" content="Optimize your presence across ChatGPT, Gemini, Amazon Rufus and more.">
- <meta property="og:url" content="https://www.frevana.com/homepage">
- <meta property="og:image" content="https://www.frevana.com/common/logo_large.png">
- All essential OG tags present.
Twitter Cards: Summary card, image, title, description present.

Impact & Risk:

Good title/meta supports strong search rankings; missing canonical may cause confusion in SERPs.

Repair Recommendations:

None, but if title/description are changed, always keep core value/content match.

No structural changes needed.

3. Content Quality & Layout (AEO Focus)

Section Score: 10/20
Conclusion: Needs Improvement

Findings & Evidence:

Answer First (AEO):
- Locator: <h1>, first <p> after main heading.
- Snippet: <h1 class="...">Maximize Your Brand's Visibility in AI Answers</h1> <p class="...">Show up on ChatGPT, Gemini, Amazon Rufus, and more, where millions of customers make decisions</p>
- Does not directly answer a user's explicit question—reads as marketing statement, not direct response.
Heading Hierarchy: Only one <h1> (pass); subsequent sections use <h2>, <h3> as expected. Some headers (e.g., feature block: "How Frevana Works") are clear, though could better structure content for search/comprehension.
Subheadings/Lists: Multiple <h2> and bullet/numbered lists in features, testimonials, and FAQ.
Originality & Depth: Innovative product/service copy, but as this is a landing page, not an "article", limited evidence of deep, research-backed, or uniquely referenced content. Testimonials & features show customer signals.
Keyword Presence: SEO/AEO keywords ("AI visibility", "AEO", "brand visibility", etc.) in title, headings, and spread through content. No stuffing. FAQ copy repeats main offer themes.

Impact & Risk:

Content structure is advertiser/landing-page oriented, less likely to win in AEO/featured snippets/direct answers versus strongly formatted factual/educational content.

Repair Recommendations:

Lead with a clear, intent-matched summary/answer to core audience pain point in the intro.
If using for AEO/search, add explicit Q&A or a summary at the top: e.g.,
"What is Frevana? Frevana is a platform that helps brands maximize their visibility across AI-powered answer engines by…"
Enhance "article" information structure if targeting knowledge panels or featured snippets.

<!-- Lead answer block for AEO intent -->
<div class="aeo-summary">
  <strong>What is Frevana?</strong>
  <span>Frevana helps brands maximize their visibility across AI-powered platforms like ChatGPT, Gemini, and Amazon Rufus, ensuring your brand is recommended when customers ask AI agents for product and service recommendations.</span>
</div>

4. Images & Media

Section Score: 11/20
Conclusion: Needs Improvement

Findings & Evidence:

Alt Texts on Images:
- Key logo images: <img alt="Frevana" ... srcset="/_next/image?url=%2Fcommon%2Flogo.png..."> — Good.
- Some SVG icons have no alt (which is OK for visuals).
- Large visual images (e.g., backed by logos, product feature images): <img alt="Andreessen Horowitz" ...> and similar for "Craft Ventures", "OpenAI"—good.
- However, social <img> (analytics, etc.) uses generic/functional alt ("Analytics").
- Some file references have path-based names (e.g., /homepage/backed_by_01.png), but most visible branding uses descriptive alt.
Semantic File Names: Many images use hashed/generated paths due to Next.js. Some real path/filename images used for brand/partners.
Image-Text Relationship: No use of <figure> or <figcaption> on any main images (all images are inline or wrapped in styled <div>s).

Impact & Risk:

Incomplete or missing alt means visually impaired users and image search bots gain little info; non-semantic filenames reduce discoverability in image search.

Repair Recommendations:

Always set contextual alt for important images, e.g., alt="Customer testimonial: Celine, Healthcare SaaS".
For key illustrative images, wrap in <figure> and use <figcaption>.
Ensure filenames include primary concept/person/brand (when not using CDN-hashed schemes).

<figure>
  <img src="/homepage/backed_by_01.png" alt="Andreessen Horowitz - Investor Logo">
  <figcaption>Andreessen Horowitz - Frevana Backer</figcaption>
</figure>

5. Structured Data (Schema)

Section Score: 14/20
Conclusion: Needs Improvement

Findings & Evidence:

JSON-LD Schema Missing:
- Locator: No <script type="application/ld+json">
- Snippet: N/A
No Microdata: No itemtype, itemscope, itemprop.
Supplementary Types:
- FAQPage: Could be appropriate, as content includes a common question block, but not implemented.
- No Article/BlogPosting/NewsArticle: Content is not a news/blog/article, but could index as a Product/Service or Organization markup.

Impact & Risk:

Loss of eligibility for Google rich results (FAQ enhancements, organizational panels, etc.)—AEO best practice is to mark up FAQ, organization, and main offers.

Repair Recommendations:

Implement JSON-LD for Organization or Product/Service, plus FAQPage for FAQs.
Include as much mapped info as possible: headline, URL, logo, publisher, etc.

Structured Data Recommendations (if missing/incorrect)

Recommended Type:
- Organization (for main page)—for homepage of B2B provider;
- Plus FAQPage for FAQ section.
- Not Article/BlogPosting, as no article post, author, or date visible.
Required Field Mapping:
- Name: "Frevana"
- URL: "https://www.frevana.com/homepage"
- Logo: "https://www.frevana.com/common/logo_large.png"
- Description: use meta description
- FAQ: Each visible FAQ as a question/answer pair (present in HTML)

Copyable JSON-LD Template:

<!-- Organization Schema -->
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Frevana",
  "url": "https://www.frevana.com/homepage",
  "logo": "https://www.frevana.com/common/logo_large.png",
  "description": "Optimize your presence across ChatGPT, Gemini, Amazon Rufus and more — where millions of customers make purchase decisions daily."
}
</script>

<!-- FAQPage Schema (Example: map each visible FAQ Q&A from section id="faq") -->
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "Why choose Frevana over traditional SEO tools?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Frevana is purpose-built for AI Engine Optimization (AEO), not traditional search. While SEO tools optimize for Google's algorithm, Frevana optimizes your presence across AI platforms like ChatGPT, Perplexity, and Gemini — where consumers increasingly make purchase decisions. We provide real-time monitoring, competitive intelligence, and automated content optimization specifically for AI visibility."
      }
    }
    // Add additional Q&A pairs as per visible FAQ buttons.
  ]
}
</script>

Improvement Priority List (Simplified RICE)

Task	Impact	Reach	Effort	Priority
Add canonical & robots meta tags	High	High	Small	1
Implement Organization & FAQ JSON-LD	High	High	Medium	2
Lead with AEO answer-first summary for main query	High	High	Medium	3
Ensure all key images have descriptive alt & figure	Med	Med	Small	4
Convert feature/FAQ list to more semantic HTML	Med	Med	Small	5
Use semantic filenames for images (not CDN hashes)	Low	Med	Large	6

Tracking & Acceptance

Quantifiable Indicators:
- Canonical/page correctly indexed (Search Console coverage)
- Rich result eligibility (FAQ/Organization shown in Search Console enhancements)
- Impressions, avg. ranking/CTR improvement on branded queries/AEO-relevant keywords
- Inclusion rate for images in image search (if filenames/alts fixed)
- Structured data validation passes (using Rich Results Test)
Acceptance Criteria (for each item):
- Canonical/robots: correctly appears in live source, Google Search Console shows no warnings.
- JSON-LD: Rich Results Test confirms valid/eligible FAQ/Org markup.
- Main summary answer: Featured snippet eligibility test via site: and relevant queries.
- Images: All key images pass Accessibility (axe, Lighthouse) with descriptive alt/figure.
- Headings/content: Outline test in accessibility tools shows unique h1, clear hierarchy.

All recommendations and findings above are based strictly on the HTML source provided. No assumptions are made about render-time state. Please re-crawl after fixes to validate acceptance via Google Search Console, Schema.org Rich Results Test, and accessibility tools.