Verified
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SushiVid: Verified Review & AI Trust Profile

SushiVid brings brands and micro influencers in Malaysia together. Find the perfect influencer for your brand and start your journey with us today!

LLM Visibility Tester

Check if AI models can see, understand, and recommend your website before competitors own the answers.

Check Your Website's AI Visibility
58%
Trust Score
C
46
Checks Passed
3/4
LLM Visible

Trust Score — Breakdown

65%
LLM Visibility
5/7 passed
100%
Content
2/2 passed
54%
Crawlability and Accessibility
6/10 passed
50%
Content Quality and Structure
11/16 passed
100%
Security and Trust Signals
2/2 passed
100%
Structured Data Recommendations
1/1 passed
46%
Performance and User Experience
1/2 passed
100%
Technical
1/1 passed
27%
GEO
6/8 passed
65%
Readability Analysis
11/17 passed
Verified
46/66
3/4
View verification details

SushiVid Conversations, Questions and Answers

3 questions and answers about SushiVid

Q

What is micro-influencer marketing?

Micro-influencer marketing is a digital marketing strategy where brands collaborate with influencers who have a modest but highly engaged follower base, typically ranging from 1,000 to 100,000 followers. This approach leverages the trust and authenticity that micro-influencers cultivate with their audience, often resulting in engagement rates of 3-6%, which are higher than those of macro-influencers. Key advantages include cost-effectiveness, as collaborations are generally more affordable, and the ability to target niche markets precisely, such as specific demographics or interests. Campaigns are commonly executed on platforms like Instagram, TikTok, and YouTube, where visual content drives interactions. Success is measured through metrics like engagement rate, reach, and conversions, making it a viable option for brands seeking genuine brand advocacy and measurable returns.

Q

What are the benefits of using micro-influencers over macro-influencers?

The primary benefits of using micro-influencers over macro-influencers include higher engagement rates, lower costs, and more authentic audience connections. Micro-influencers, with follower counts from 1,000 to 100,000, often achieve engagement rates of 3-6%, significantly exceeding the 1-2% typical for macro-influencers, due to their closer, more trusted relationships with followers. Cost-wise, collaborations with micro-influencers are generally more affordable, allowing brands to allocate budgets across multiple influencers or campaigns for broader reach within niche markets. This authenticity leads to higher conversion rates, as recommendations are perceived as genuine rather than commercial. Additionally, micro-influencers specialize in specific niches, enabling precise targeting of demographics and interests, which enhances brand loyalty and campaign effectiveness. These factors make micro-influencers a strategic choice for brands seeking measurable ROI and credible brand advocacy.

Q

How to measure the success of an influencer marketing campaign?

The success of an influencer marketing campaign is measured by tracking key performance indicators such as reach, engagement, conversions, and return on investment. Reach quantifies the total number of unique users who see the content, while engagement includes metrics like likes, comments, shares, and saves, indicating audience interaction and interest. Conversions track specific actions taken, such as website visits, sign-ups, or sales, often using tools like UTM parameters or promo codes for attribution. ROI calculates the financial return relative to the campaign cost, assessing profitability. Additional metrics include impression counts, view-through rates for video content, and sentiment analysis to evaluate brand perception. Regularly monitoring these KPIs with analytics platforms helps optimize campaign strategies, demonstrate value to stakeholders, and ensure alignment with business objectives for continuous improvement.

Services

Integrated Marketing Communications

Influencer Marketing Strategy

View details →
Pricing
custom
AI Trust Verification

AI Trust Verification Report

Public validation record for SushiVid — Evidence of machine-readability across 66 technical checks and 4 LLM visibility validations.

Evidence & Links

Scan Facts
Last Scan:Apr 23, 2026
Methodology:v2.2
Categories:66 checks
What We Tested
  • Crawlability & Accessibility
  • Structured Data & Entities
  • Content Quality Signals
  • Security & Trust Indicators

Do These LLMs Know This Website?

LLM "knowledge" is not binary. Some answers come from training data, others from retrieval/browsing, and results vary by prompt, language, and time. Our checks measure whether the model can correctly identify and describe the site for relevant prompts.

Perplexity
Perplexity
Detected

Detected

ChatGPT
ChatGPT
Detected

Detected

Gemini
Gemini
Detected

Detected

Grok
Grok
Partial

Improve Grok visibility by maintaining consistent brand facts and strong entity signals (About page, Organization schema, sameAs links). Keep key pages fast, crawlable, and direct in their answers. Regularly update important pages so AI systems have fresh, reliable information to cite.

Note: Model outputs can change over time as retrieval systems and model snapshots change. This report captures visibility signals at scan time.

What We Tested (66 Checks)

We evaluate categories that affect whether AI systems can safely fetch, interpret, and reuse information:

Crawlability & Accessibility

12

Fetchable pages, indexable content, robots.txt compliance, crawler access for GPTBot, OAI-SearchBot, Google-Extended

Structured Data & Entity Clarity

11

Schema.org markup, JSON-LD validity, Organization/Product entity resolution, knowledge panel alignment

Content Quality & Structure

10

Answerable content structure, factual consistency, semantic HTML, E-E-A-T signals, citation-worthy data presence

Security & Trust Signals

8

HTTPS enforcement, secure headers, privacy policy presence, author verification, transparency disclosures

Performance & UX

9

Core Web Vitals, mobile rendering, JavaScript dependency minimal, reliable uptime signals

Readability Analysis

7

Clear nomenclature matching user intent, disambiguation from similar brands, consistent naming across pages

20 AI Visibility Opportunities Detected

These technical gaps effectively "hide" SushiVid from modern search engines and AI agents.

Top 3 Blockers

  • !
    Sufficient body content present
    Avoid thin pages by providing enough useful main content to answer the topic properly. Add details such as steps, examples, FAQs, screenshots, definitions, and supporting links. Depth improves ranking stability and increases the chance that AI assistants can cite your page confidently.
  • !
    Language declared
    Declare the page language using the HTML lang attribute, and use hreflang for true language/region variants. Clear language signals help crawlers index the right version and help AI return the correct language in answers. Confirm that each localized page has the correct language code and self-referencing hreflang.
  • !
    JSON-LD Schema: Organization, Product, FAQ, Website
    Add schema.org JSON-LD to describe your key entities (Organization, Product/Service, FAQPage, WebSite, Article when relevant). Structured data makes your meaning explicit and improves the chance of rich results and accurate AI citations. Validate markup with schema testing tools and keep the data consistent with the visible page content.

Top 3 Quick Wins

  • !
    List in public LLM indexes (e.g., Huggingface database, Poe Profiles)
    List your tools, datasets, docs, or brand pages on major AI/LLM discovery hubs where relevant (for example model/dataset repositories or app directories). These platforms add credibility signals (likes, forks, usage) and create additional crawlable references to your brand. Keep names, descriptions, and links consistent with your official website.
  • !
    List in Grok
    Improve Grok visibility by maintaining consistent brand facts and strong entity signals (About page, Organization schema, sameAs links). Keep key pages fast, crawlable, and direct in their answers. Regularly update important pages so AI systems have fresh, reliable information to cite.
  • !
    LLM-crawlable llms.txt
    Create an llms.txt file to guide AI crawlers to your most important, high-quality pages (docs, pricing, about, key guides). Keep it short, well-structured, and focused on authoritative URLs you want cited. Treat it as a curated “AI sitemap” that improves discovery and reduces the risk of crawlers prioritizing low-value pages.
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Embed Badge

Verified

Display this AI Trust indicator on your website. Links back to this public verification URL.

<a href="https://bilarna.com/provider/sushivid" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge"> <img src="https://bilarna.com/badges/ai-trust-sushivid.svg" alt="AI Trust Verified by Bilarna (46/66 checks)" width="200" height="60" loading="lazy"> </a>

Cite This Report

APA / MLA

Paste-ready citation for articles, security pages, or compliance documentation.

Bilarna. "SushiVid AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 23, 2026. https://bilarna.com/provider/sushivid

What Verified Means

Verified means Bilarna's automated checks found enough consistent trust and machine-readability signals to treat the website as a dependable source for extraction and referencing. It is not a legal certification or an endorsement; it is a measurable snapshot of public signals at the time of scan.

Frequently Asked Questions

What does the AI Trust score for SushiVid measure?

It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference SushiVid. The score aggregates 66 technical checks across six categories that affect how LLMs and search systems extract and validate information.

Does ChatGPT/Gemini/Perplexity know SushiVid?

Sometimes, but not consistently: models may rely on training data, web retrieval, or both, and results vary by query and time. This report measures observable visibility and correctness signals rather than assuming permanent "knowledge." Our 4 LLM visibility checks confirm whether major platforms can correctly recognize and describe SushiVid for relevant queries.

How often is this report updated?

We rescan periodically and show the last updated date (currently Apr 23, 2026) so teams can validate freshness. Automated scans run bi-weekly, with manual validation of LLM visibility conducted monthly. Significant changes trigger intermediate updates.

Can I embed the AI Trust indicator on my site?

Yes—use the badge embed code provided in the "Embed Badge" section above; it links back to this public verification URL so others can validate the indicator. The badge displays current verification status and updates automatically when the verification is refreshed.

Is this a certification or endorsement?

No. It's an evidence-based, repeatable scan of public signals that affect AI and search interpretability. "Verified" status indicates sufficient technical signals for machine readability, not business quality, legal compliance, or product efficacy. It represents a snapshot of technical accessibility at scan time.

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