| What is it? | A managed analysis workflow with a customer dashboard. Viziquo models the market and buyers, runs buyer-style conversations, evaluates site and page readiness, reviews material evidence, tracks completed runs, and turns findings into recommendations and implementation tasks. | An ongoing AI-search and agent-experience platform for prompt monitoring, competitor and citation analysis, automated Signals, site optimization, agent traffic, AI referrals, reporting, integrations, and AI-specific content delivery. |
| What is the primary value? | Human-reviewed interpretation and implementation guidance connecting buyer intent, organic discovery, recommendation strength, brand framing, citations, retrieved sources, competitor displacement, and technical readiness. | Continuous monitoring and optimization across AI platforms, prompts, countries, languages, competitors, sources, pages, crawlers, and connected workflows. |
| How are questions selected? | Viziquo creates a brand profile, competitive set, and buyer personas with goals, pain points, decision criteria, search objectives, and likely behavior before writing questions classified by intent, context, discovery category, and response type. | Scrunch supports manual and bulk entry, CSV upload, SEO-keyword conversion, AI-generated questions, and Prompt Templates. Prompts can be organized by topics, stages, tags, personas, countries, languages, and platforms. |
| How do personas affect the test? | Personas shape the research design, question, response-dependent follow-up path, evidence analysis, and reporting. | Persona descriptions help generate prompts and organize results. Scrunch's current documentation says they are not injected into the monitored response; persona geography can affect collection location. |
| Does it test conversations? | Viziquo runs multi-turn conversations and can ask response-dependent follow-ups where the buyer scenario warrants them. | Scrunch repeatedly collects independent cold-start prompt variants. Its public methodology does not document an equivalent adaptive multi-turn buyer-conversation protocol. |
| How often does it update? | Each Viziquo run creates a dated snapshot, and the dashboard tracks change across completed runs. Re-run timing depends on the engagement; Viziquo does not publish a universal automatic-refresh cadence. | New prompt variants are collected daily for two weeks, then every 72 hours. A user can trigger an on-demand refresh for an individual variant. Signals’ Observability feed refreshes nightly. |
| Which AI platforms are covered? | Viziquo's current demonstrated methodology tests ChatGPT, Claude, Gemini, Google AI Overview, and Perplexity separately. | Scrunch currently documents nine supported platforms overall: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Microsoft Copilot, Grok, and Meta AI. Availability varies by subscription and configuration. |
| How are competitors compared? | Reviewed analysis measures who appears when the brand is absent, then breaks displacement down by buyer, intent, question context, discovery category, provider, evidence, framing, recommendation strength, and completed run. | Scrunch compares presence, answer position, sentiment, citations, and trends. Signals can flag prompts where a competitor appeared and the selected brand did not, and Suggested Entities can identify additional competitors. |
| How are citations analyzed? | Viziquo separates answer citations from sources retrieved before the answer, distinguishes source ownership and type, and connects each row to the tested buyer, intent, context, provider, and complete conversation. | Scrunch provides domain- and URL-level citation frequency, consistency, share, ownership, topics, influence, associated prompts, trends, brand or competitor mentions on cited pages, and exports. |
| How is brand framing handled? | Human review evaluates tone, recommendation strength, dominant narrative, positioning frames, risks, opportunities, positive associations, recurring caveats, missing desired associations, and differences by buyer, provider, competitor, and source. | Scrunch provides positive, mixed, and negative sentiment, answer position, prompt-level response evidence, and brand-protection Signals when negative third-party sources influence an answer. |
| Does it include technical site checks? | Yes. Viziquo checks robots.txt, selected crawler access, sitemap discovery and parsing, llms.txt, and llms-full.txt at website level. It evaluates discovered pages for fetchability, redirects, CAPTCHA or bot barriers, crawler access, indexability, metadata, canonical tags, structured data, and content extractability. | Yes. Scrunch Site Audit checks robots.txt, AI-bot access and response, load time, JavaScript-independent content, metadata relevance, page length, and static-versus-rendered content. Site Map adds crawled structure, page metrics, Deep AI Audits, and optimization suggestions. |
| Does it report actual crawler visits? | Viziquo currently provides external readiness evidence and does not claim first-party server- or CDN-log analytics. | Scrunch Agent Traffic reports observed AI-bot requests, pages, agents, trends, and retrieval, indexing, or training categories when infrastructure data is connected. |
| Does it report AI referral outcomes? | Viziquo currently does not claim first-party AI referral or conversion reporting inside the product. | Scrunch can connect GA4 to report AI-originated sessions, views, landing pages, transactions, revenue, and conversion rates. |
| Does it deliver content to AI agents? | Viziquo identifies and specifies the technical, content, positioning, comparison, or authority work. Implementation remains with the customer's team or partner unless separately scoped. | Scrunch's separate Agent Experience Platform can serve simplified, structured, server-rendered HTML to known AI retrieval agents at the CDN layer while humans see the existing website. |
| How do findings become work? | A Viziquo recommendation can include the problem, why it matters, what is missing, how to act, impact, and evidence. Task briefs can add a target asset, implementation steps, verification, definition of done, context, expected contribution, and side effects. | Scrunch Signals provide automated explanations and actions. Content Gaps can generate content briefs, Site Map can generate page suggestions, and the Optimizer can test whether a page would influence a ChatGPT answer. |
| What is the output? | A dashboard with executive findings, visibility and framing analysis, trends, technical readiness, complete evidence, prioritized recommendations, implementation tasks, reports, exports, and a findings session. | Dashboards, prompt and response history, citation analysis, Signals, site and page views, traffic and referral analytics, PDFs, CSV or Excel exports, MCP, and plan-dependent API, Data Studio, and enterprise controls. |
| What does it cost? | Viziquo is a service engagement. Request an analysis to confirm current scope and pricing. | Starter is currently $250 per month billed annually or $300 month-to-month. Growth is $417 per month billed annually or $500 month-to-month. Enterprise is custom. AXP is a separate product. |