We profile your brand, model real buyer questions, test AI assistants, and turn the answers into visibility, competition, citation, and brand-framing insights you can act on.
Request free analysisWe start with your website, category, positioning, audience, and competitive landscape — not a generic keyword list. Everything downstream is built from this profile, not assumed.
Category & positioning
Where you sit in the market, and how you describe yourself
Audience
Who actually buys, and who influences the decision
Competitive landscape
Who buyers compare you against
Market context
What's shifting in your category right now
Key capabilities
Product strengths and features buyers weigh when comparing options
Overview
NovaView is a consumer electronics brand focused on smart TVs for living rooms and home theaters. Its lineup spans mid-range QLED and premium mini-LED models, with an emphasis on bright-room picture quality, a simple smart platform, and fast setup out of the box.
At a glance
Category
Consumer electronics — smart TVs
Brand type
D2C and retail TV brand
Business model
Hardware sales + extended warranty
Audience
B2C
Visibility focus
Brand + product comparisons
Tracked competitors
Key capabilities
We identify the buyer types most likely to research, compare, validate, or choose in your category. A first-time TV buyer doesn't ask AI the same questions as someone upgrading a home theater — so we don't test them the same way.
Comparison shoppers
Evaluating you against named alternatives
Validators
Checking if a brand they've already heard of is safe to pick
Category researchers
Still learning what options even exist
Recommendation seekers
Asking AI for a shortlist without naming brands first
User persona
Living Room Upgrader Comparing Smart TVs
Homeowner evaluating smart TVs for a bright living room who wants strong picture quality, simple streaming setup, and a shortlist without paying for unused features.
Mission & context
Find a smart TV that looks great in a bright room, is easy to set up for everyday streaming, and stays within budget.
Primary search objective
Vendor selection
Goals
Pain points
Decision criteria
Example questions
Each persona becomes a set of real questions — the kind buyers actually type into ChatGPT or Claude: what to compare, which size fits a bright room, whether a specific brand is worth the price. Not "best smart TV."
Comparison questions
"What should I compare before buying a 65-inch smart TV?"
Validation questions
"Is NovaView a reliable brand for everyday streaming?"
Category research questions
"What are the main types of smart TVs, and how do they differ?"
Recommendation questions
"What's the best TV for a bright living room under $1,200?"
Before buying a 65-inch smart TV, compare these things:
1. Panel type: OLED vs Mini-LED/QLED vs basic LED
2. Room brightness and reflections
3. Refresh rate and gaming features
Look for a native 120Hz panel if you watch sports or game. For PS5, Xbox Series X, or gaming PC, compare:
4. Smart TV platform
5. Number and placement of ports
At 65 inches, many people connect several devices. Check for:
6. Sound quality
7. Viewing distance and size fit
Full analyses cover ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overview, Grok, Microsoft Bing AI Answers (Copilot Search), and Perplexity, with each provider tested independently. We capture the returned answers and available source evidence. Where the tested surface supports conversations, follow-ups are guided by the buyer’s goal and defined stopping rules.
Multi-engine coverage
ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overview, Grok, Microsoft Bing AI Answers (Copilot Search), and Perplexity
Full answer capture
Not just "mentioned or not" — the complete response
Source-level detail
What's cited, and where it came from
Organic discovery by provider
How often each provider mentioned the brand when buyers did not name it.
75%
↑ 4pp vs last audit
62%
No change vs last audit
50%
↑ 3pp vs last audit
44%
↑ 1pp vs last audit
41%
↑ 2pp vs last audit
38%
↓ 2pp vs last audit
31%
↑ 2pp vs last audit
25%
↑ 3pp vs last audit
Provider gap (Claude vs Gemini): 50pp
We measure whether your brand appears, how it is framed or recommended, whether the buyer introduced it first, which competitors appear, and which sources the answer cites.
Brand visibility
Whether your brand appears in the AI's answer at all
Organic discovery
Whether you're found without the buyer naming you first
Brand share of voice
Whether you hold the answer or citation position against competitors
Owned citations
Whether the answer’s citations link to brand-owned pages or third-party sources.
Overview
Conversations where the brand was named in the answer or linked in a citation. Broader than qualified visibility, which requires a framing-eligible presence under the measurement policy.
58%
46 of 80 total conversations
Conversations where the brand appeared in the answer or a citation when the buyer did not name it.
34%
27 of 80 total organic conversations
Conversations where the brand held the answer or citation position against competitors.
62%
50 of 80 total conversations
Citations that pointed to brand-owned sources.
22%
14 of 64 total citations
A visibility result is only useful when you can inspect how it was produced and understand whether a later run measured the same thing.
Each run snapshots the buyer personas, scenarios, question variants, and brand-introduction rules used in that test set. For conversational tests, the snapshot also includes the conversation goal, follow-up rules, and stopping conditions. We preserve the exact questions used in each run, including any response-dependent follow-ups.
Each test record connects:
The test context: run ID, timestamp, persona, scenario, intent, context level, and the prompt and taxonomy versions for that run.
The execution conditions: provider and model identifier when disclosed, plus search and citation evidence the provider exposes.
The response evidence: the exact questions and answers, preserved turn by turn, with exposed source URLs and citations.
The observed outcomes: brand appearances, recommendations, competitor appearances, and source ownership. Brand appearance and retrieval include the turn on which they first occurred.
Where a value is not observed, it is left unset rather than inferred.
Retrieved means a page appears in retrieval evidence exposed by the provider. Cited means the answer explicitly links to or attributes a source. Mentioned means the brand is named. Recommended means the answer presents the brand as a suggested choice or fit.
These observations can overlap, but they are not interchangeable. A citation does not automatically mean a recommendation, and an uncited page cannot be assumed absent from retrieval when retrieval evidence is unavailable.
We also distinguish organic from prompted appearances by recording whether the buyer had introduced the target brand before the answer being evaluated.
Reruns follow an agreed review cadence or respond to meaningful content, provider, or competitive changes. For comparison, we retain the scenario set, question-variant pool and sampling approach, follow-up rules, and outcome definitions, while keeping execution conditions consistent where possible.
Material changes are versioned as a new run. Results retain their sample counts. Repeated tests can produce different answers, and a before-and-after change alone does not prove that a website edit caused it.
A reviewed analysis of where your brand appears, where competitors win, how AI assistants frame you, and what actions to take next.
Key findings
Strategic takeaways from the latest audit — discoverability, competition, framing, and remediation.
NovaView is visible in comparisons, but easy to miss organically. AI assistants mention NovaView when buyers compare smart TVs, but unbranded category and buying-guide questions are where visibility drops sharpest.
Samsung and LG fill the answers where NovaView disappears. Displacement clusters around Samsung and LG, especially on bright-room TV questions where buyers want a shortlist fast.
NovaView is framed as strong value, not the premium default. AI assistants describe NovaView as a practical mid-range pick, but rarely position it ahead of established brands on picture quality or platform longevity.
Make bright-room strengths easier for AI to retrieve and cite. NovaView should strengthen comparison pages and proof points around brightness, setup simplicity, and gaming-ready specs so assistants can surface them in organic answers.
You’ve seen how the analysis runs. Continue with why Viziquo is different, who it’s for, and what your team receives.
Share your website. We’ll test real buyer questions specific to your brand in ChatGPT and deliver a reviewed analysis showing where your brand appears, how it is framed, which competitors and sources shape the answers, and what to do next.
Full Viziquo analyses include ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overview, Grok, Microsoft Bing AI Answers (Copilot Search), and Perplexity.
Free · No credit card needed · Delivered within 3 business days