Demo workspace — Dashboard & Competitors use sample Peacock data. Brand lookup can check any brand (Live or Demo).
How it worksAI Visibility Intelligence for AEO — measure how answer engines talk about your brand, explain why competitors win, and prioritize what to fix.
When someone asks ChatGPT for “the best OTT platform”, the answer names a short list — Netflix, Hulu, Prime Video, and maybe Peacock. BrandSignal treats that answer as the new SERP: were you mentioned, at what position, with what framing, citing which sources, and what would raise your AEO visibility next.
The four questions
Builds buyer-style prompts for your brand/category, sends them to configured answer engines, and keeps an estimated cost ledger so live runs stay controlled.
Reads each answer for brand inclusion, mention order, peer brands, and recommendation language — the raw inputs for share of voice.
Labels every prompt/answer by intent (best-of, comparison, pricing, alternatives), journey stage, and sentiment.
Expands commercial prompts into informational evidence queries and navigational brand-checks — the pattern AI Overviews use before recommending. Recommendation beats citation.
Turns the run into plain-language FAQs: how often you were mentioned, who leads the category, fan-out brand-check wins, and what to do next.
Live runs show estimated query cost from the Query agent’s ledger.
Enter any brand (Peacock, Netflix, Chewy) and/or a category (best OTT platform, pets, dog food). BrandSignal generates realistic buyer prompts — then measures who shows up in the answers.
Open brand lookupLive mode queries only engines with your API keys and never silently swaps in sample answers. Demo mode is opt-in sample data for walkthroughs — including the Peacock OTT workspace.
Add API keysQuery → Evaluation → Classification → Fan-out → FAQ. Results open with stats, then FAQs / where the brand shows up, then a chat agent for follow-up questions.
Try a lookupFor continuous monitoring, Scanner asks the workspace prompt set across ChatGPT, Claude, Perplexity, Gemini, and Copilot — capturing mentions, sentiment, and citations.
Run a scanScans roll into a 0–100 visibility score (mention rate, rank, citations, sentiment, competitor share, and more). History shows weekly movement by engine.
See historyThe Peacock demo compares against Netflix, Amazon Prime Video, Hulu, Disney+, and Max — share of voice, head-to-head mentions, and which engines favor whom.
View competitorsAnswer engines reason about entities. See which features, audiences, and sources models associate with Peacock — and where those associations are weak.
Open entity graphGaps become a prioritized backlog: comparison content, citations, FAQ/schema, crawler access, entity strength — each with expected visibility lift and effort.
View AEO opportunitiesContent Optimizer checks citability: short answer snippets, question H2s, FAQ schema, supporting stats, and internal links answer engines can trust.
Audit a pageA fast investor/customer walkthrough using the Peacock OTT sample workspace.
Share of answers where your brand appears at least once.
How often your brand appears versus peers across the same prompt set.
Typical rank order when your brand is listed among recommended options.
A source the model points to when justifying an answer — useful, but recommendation is the commercial goal.
Related searches an answer engine runs under a commercial prompt: informational evidence plus navigational brand-checks.
The tree of fan-out queries under a commercial root — what proof and brand pages engines need before recommending you.
A concept models associate with you — product, feature, audience, competitor, or topic.
How strongly the answer endorses a brand versus merely naming it.
Answer Engine Optimization — improving how AI assistants (ChatGPT, Perplexity, Gemini, Claude, Grok, and others) mention, rank, and describe your brand when users ask them questions. It’s SEO for the conversational layer.
Demo data follows Peacock (peacocktv.com), a real NBCUniversal OTT brand, against Netflix, Amazon Prime Video, Hulu, Disney+, and Max. Use it to tour the product. Switch Brand lookup to Demo for sample OTT answers, or Live when you add keys.
BrandSignal generates category prompts (best dog food / best OTT platform, alternatives, comparisons, pricing, where to buy). Engines answer those prompts. We count how often your brand appears, at what position, and share of voice versus peers.
Live calls only engines you’ve configured with API keys and tracks estimated token cost. Demo is optional sample data for walkthroughs. Live never silently substitutes demo answers.
Search returns ten links; answer engines return one synthesized answer. You’re competing for inclusion, favorable position, and accurate framing. BrandSignal measures all three.
Query sends prompts and maintains cost. Evaluation scores mentions and recommendations. Classification labels intent and journey stage. Fan-out maps commercial prompts into informational evidence and navigational brand-checks. FAQ explains the run in plain language.
Before recommending, answer engines expand a commercial question into related searches — facts to justify a pick, plus brand-by-name lookups. Being recommended matters more than being cited; your informational pages are often the evidence layer under commercial prompts.