VisiScan
VisiScan is an audit tool that queries ChatGPT, Claude, Perplexity, and Gemini with buyer-intent questions and measures whether a business is named in the live answers. It generates an AI Visibility score (0-100) based on how often the business appears across 12 questions and 4 engines, identifies which competitors are named instead, audits 30+ on-site and off-site signals (entity presence, schema markup, llms.txt, citations), and produces a prioritized fix plan with ready-to-publish code. The Full Report ($49 one-time) provides a snapshot audit; the Monitor plan ($24/year or $29/month) enables weekly re-scans, trend tracking, competitor-watch alerts, and AI-traffic beacon counting. Built for local SEO and multi-location service agencies where AI recommendations now compete with traditional search rankings.
VisiScan is an audit tool, priced at $29/month on the Monitor plan, integrating with ChatGPT, Claude, Perplexity, and Gemini. InnovaAI scores it 7.3/10 for agency resale.
Agency Audit
VisiScan audits whether ChatGPT, Claude, Perplexity, and Gemini name a business in response to buyer-intent questions, surfacing an AI Visibility score (0-100) and a prioritized fix plan with ready-to-publish schema markup and llms.txt. It's built for local SEO agencies, marketing agencies serving local service businesses, and digital consultants managing multi-location clients who need to track AI-engine visibility as a new ranking signal. Resell potential exists as a monthly monitoring retainer (the Monitor plan at $24/year or $29/month), though white-label positioning is unclear from available documentation. Best fit: agencies with 10+ local-service or multi-location clients where AI recommendations now compete with traditional search rankings.
7.3/10
71%
<1d under a day
- You manage 5+ local service or multi-location clients (plumbers, electricians, dental practices, law firms) where being named by ChatGPT in buyer-intent queries directly impacts lead flow.
- Your clients ask 'why am I not showing up in AI answers' and you need a concrete audit tool to diagnose the gap and justify schema markup or content fixes.
- You want to offer a monthly monitoring retainer (Monitor plan at $24/year or $29/month) that tracks AI Visibility score trends and competitor-watch alerts week-over-week.
- Your client base is primarily e-commerce or B2B SaaS; VisiScan is optimized for local and multi-location service businesses, not national or global product visibility.
- You need white-label branding for client-facing reports; no verified white-label program is documented, so clients will see the VisiScan brand in all outputs.
- Your clients operate in verticals where AI engine recommendations are not yet a primary lead source (e.g., B2B manufacturing, enterprise software), making the audit feel premature.
Profit Path
$29/mo
$199–$499/mo
Monthly Recurring
Planning benchmark at United States price levels. Not a measured market survey.
Platform Features
Core capabilities of VisiScan
Live AI answer audits across four engines
VisiScan queries ChatGPT, Claude, Perplexity, and Gemini with 12 buyer-intent questions, samples each 3 times, and records which businesses are named in the live answers. Agencies see exactly which competitors are winning AI recommendations instead of their clients.
AI Visibility and AI Readiness scoring
Two 0-100 scores quantify how often a business is named by AI engines and how ready its on-site signals (schema, entity presence, llms.txt) are for AI crawlers. Scores give agencies a concrete metric to report to clients and track over time.
Prioritized fix plan with ready-to-publish markup
The Full Report ranks fixes by impact and ease, then auto-generates schema markup and llms.txt files ready to copy-paste into the client's site. Agencies skip the research phase and hand clients immediately actionable code.
Weekly re-scans and competitor-watch alerts
The Monitor plan ($24/year or $29/month) automatically re-scans at full report depth every week, tracks score trends, and alerts agencies when competitors are newly named by AI engines. Enables ongoing retainer conversations with clients.
AI-traffic beacon visitor counting
Monitor plan includes a beacon that counts visitors arriving from ChatGPT, Claude, Perplexity, and Gemini, giving agencies and clients proof of AI-driven traffic impact and ROI on visibility fixes.
30+ on-site and off-site signal audit
VisiScan inspects entity presence in Wikidata and Google Knowledge Graph, branded mentions, third-party citations, schema markup, AI-crawler access, and technical health. Agencies get a comprehensive readiness assessment beyond just AI answer mentions.
What Makes VisiScan Different
Unique advantages vs similar tools in this niche
Measures AI answer visibility directly
vs Traditional SEO tools that measure blue-link rankingsVisiScan queries live AI engines and reports whether the business is named, unlike SEO tools that focus on search engine rankings.
Provides ready-to-publish schema and llms.txt
vs Generic SEO recommendations that require manual implementationThe report generates copy-paste schema markup and llms.txt files from the business's own site data, prioritized by impact.
Includes competitor intelligence with quoted answers
vs Vague competitor analysis in other toolsEvery competitor named by AI is listed with the exact answer text quoted, so agencies see the context customers read.
Investment ROI Calculator
Value equation analysis for VisiScan, based on the Hormozi framework
What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.
10.0× value multiple: invest $29/mo and agencies typically charge $199–$499/mo for the work it powers.
Why This Succeeds
Higher is betterClient Results Potential
What your clients actually get
Meaningful improvements: delivers clear, demonstrable value to clients
You're invisible in 70% of buyer answers. Three competitors were named instead.
Reliability Score
How consistently this delivers results
Early-stage track record: validate with a small pilot first
How reliably this solution delivers promised results. Based on case studies, reviews, and track record.
Implementation Challenges
Lower is betterTime to First Revenue
How long until you can start earning
Fast launch: under a day to first delivery
Get started within hours: minimal setup required
Setup Effort
What it takes to get running
Near-turnkey: minimal setup before you can sell
Low effort: self-service setup with guided onboarding
Strong ROI. VisiScan at $29/mo supports market rates of $199–$499. Its 10.0× value-equation score weighs client outcome and likelihood against the time and effort to deliver, not cost.
Pricing
VisiScan platform cost to your agency
Starts at $29/mo (Monitor), scales to $49 one-time (Full report)
Full report
- 12 questions × 4 engines × 3 samples, 144 live answers
- Full competitor breakdown, receipts quoted
- Prioritized fix plan ranked by impact × ease
- Ready-to-publish schema + llms.txt
Monitor
- Automatic weekly re-scans at full report depth
- Score-over-time trends & week-over-week diffs
- Competitor-watch alerts when AI names change
- AI-traffic beacon: count visitors arriving from ChatGPT & other AI engines
No verified white-label program for VisiScan: client-facing delivery runs under the platform's native branding.
Market Intelligence
How agencies monetize VisiScan: real offer economics and market positioning
- Local SEO agencies
- Marketing agencies serving local service businesses
- Digital marketing consultants
- Enterprise-only agencies
- Agencies without technical staff
Service Retainer
ai-poweredAgency charges monthly retainer for managed service. Fee varies by client size and scope.
Offer Economics: What You Charge vs. What It Costs
Margin includes platform cost + agency labor at $75/hr.
Local service businesses (dentists, salons, law firms) wanting to know if AI engines recommend them to nearby buyers
Funded startups and regional brands competing for AI-engine share-of-voice against category rivals
Multi-location or multi-product companies needing systematic AI engine visibility management across business units
Enterprise brands requiring competitive AI-engine intelligence, cross-team governance, and board-level visibility reporting
Scale Economics: Based on Starter Offer
Using VisiScan Local Visibility Starter at $300/client. Platform: $29/mo. Labor: 2h/client × $75/hr.
Net = MRR - platform cost - labor (2h/client × $75/hr).
Investment Decision Framework
Strategic vetting analysis for VisiScan
Strong Buy
Strong agency fit, low resell friction
Buy If
4You manage 5+ local service or multi-location clients (plumbers, electricians, dental practices, law firms) where being named by ChatGPT in buyer-intent queries directly impacts lead flow.
Your clients ask 'why am I not showing up in AI answers' and you need a concrete audit tool to diagnose the gap and justify schema markup or content fixes.
You want to offer a monthly monitoring retainer (Monitor plan at $24/year or $29/month) that tracks AI Visibility score trends and competitor-watch alerts week-over-week.
Your clients operate in geographies where AI engines are actively recommending local businesses (Astoria, NY plumbers, etc.) and you need proof of visibility gaps.
Skip If
4Your client base is primarily e-commerce or B2B SaaS; VisiScan is optimized for local and multi-location service businesses, not national or global product visibility.
You need white-label branding for client-facing reports; no verified white-label program is documented, so clients will see the VisiScan brand in all outputs.
Your clients operate in verticals where AI engine recommendations are not yet a primary lead source (e.g., B2B manufacturing, enterprise software), making the audit feel premature.
You require API-first integration into your own platform; VisiScan offers a Monitor API for programmatic scan management, but no embedded dashboard or full white-label API is mentioned.
Bottom Line
VisiScan audits whether ChatGPT, Claude, Perplexity, and Gemini name a business in response to buyer-intent questions, surfacing an AI Visibility score (0-100) and a prioritized fix plan with ready-to-publish schema markup and llms.txt. It's built for local SEO agencies, marketing agencies serving local service businesses, and digital consultants managing multi-location clients who need to track AI-engine visibility as a new ranking signal. Resell potential exists as a monthly monitoring retainer (the Monitor plan at $24/year or $29/month), though white-label positioning is unclear from available documentation. Best fit: agencies with 10+ local-service or multi-location clients where AI recommendations now compete with traditional search rankings.
Reality Check
VisiScan measures visibility across four AI engines only (ChatGPT, Claude, Perplexity, Gemini), so clients relying on other LLMs or proprietary AI systems won't see their full exposure. The Monitor plan requires ongoing subscription commitment to track trends; one-time Full Report audits ($49) don't persist in the platform, limiting recurring revenue per client unless you upsell to continuous monitoring.
Low effort: self-service setup with guided onboarding
Academy for VisiScan
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- AI Visibility LayerConcept
The AI Visibility Layer framework holds that local SEO now operates on two distinct surfaces: classic map and directory rankings, and the emerging layer of AI-generated answers. Agencies that only manage the former leave clients invisible in ChatGPT, Perplexity, and Gemini responses, where buyers increasingly seek recommendations. A study of 107 million AI answers shows citation gaps vary by industry, meaning a business can rank #1 on Google Maps yet never appear in an AI summary. Tools like VisiScan audit this AI visibility, while BrightLocal and Whitespark handle traditional listings and citations. For agencies, this layer is a sticky upsell: it deepens the retainer by adding a measurable deliverable that automated tools alone cannot provide. The framework urges agencies to treat AI citation presence as a core local SEO pillar, not an afterthought, protecting margin through strategic differentiation.
- Reputation FlywheelConcept
The Reputation Flywheel framework treats reviews not as a passive byproduct of service but as an active input to local search performance. Each new review, especially with a timely owner response, signals relevance and trust to Google's local algorithm, which in turn lifts rankings and click-through rates. That visibility drives more foot traffic and calls, generating more reviews, and the cycle repeats. For agencies, this is a sticky retainer service: managing the flywheel requires continuous monitoring, response workflows, and strategic prompts, not one-time setup. Tools like BrightLocal and Whitespark provide review monitoring and response features, but the strategic value lies in the cadence and content of responses. A study of 107 million AI answers shows that businesses with consistent, structured reputation signals are more likely to be cited by AI platforms, extending the flywheel beyond traditional search.
- Citation GravityConcept
Citation Gravity is the strategic principle that a business's local search authority is directly proportional to the consistency and breadth of its citations across the web. For agencies, this means that managing listings is not a one-time cleanup but a continuous process of building and maintaining a web of accurate, consistent references. The framework emphasizes that each citation acts as a vote of confidence, and inconsistencies or gaps weaken the overall signal to search engines. A concrete example: a multi-location client with inconsistent NAP data across directories will rank lower than a competitor with fewer but perfectly consistent citations. Tools like BrightLocal and Whitespark help agencies audit and build citations, but the strategic insight is that the cumulative effect of many small, consistent mentions creates a gravitational pull that boosts local rankings and drives high-intent traffic.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Local SEO Rule: Audit AI Visibility Before Scaling ListingsEvaluation Rule
Before scaling local SEO retainers, audit client visibility in AI engines and close citation gaps.
- When AI Engines Cite Competitors, Add Reputation Content Before Scaling ListingsEvaluation Rule
Before scaling listings, audit AI visibility and reputation signals, and prioritize content and review generation to close citation gaps.
- Automated Listing Management vs Strategic Reputation & Content DifferentiationDecision Framework
IF your agency's local SEO offering relies primarily on automated tools for listing distribution and citation management, THEN you risk margin erosion as clients perceive the service as commoditized. IF instead you layer strategic reputation management and content differentiation on top of the automated foundation, THEN you can command premium retainers and increase client stickiness.
- The Listing-Only Trap: Why Local SEO Stalls When Agencies Skip Reputation StrategyFailure Pattern
- The AI-Invisible Trap: Why Local SEO Stalls When Agencies Ignore LLM VisibilityFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- Local Visibility & Reputation Sprint (14-21 days)Implementation Blueprint
A structured engagement to clean up local listings, build citations, and establish a review management cadence, positioning the agency as the ongoing guardian of the client's local search presence.
- Local Visibility Audit (Onboarding)Operating Procedure
- AI Citation Readiness Review (Delivery)Operating Procedure
- Local Listings Cleanup Sprint (Onboarding)Operating Procedure
13 modules selected for VisiScan
Frequently Asked Questions
Answers about pricing, setup, implementation
VisiScan queries ChatGPT, Claude, Perplexity, and Gemini with buyer-intent questions and audits whether a business is named in the live answers. It generates an AI Visibility score (0-100), identifies competitors named instead, audits 30+ on-site and off-site signals (schema, entity presence, llms.txt), and produces a prioritized fix plan with ready-to-publish markup. Agencies use it to diagnose why clients are invisible to AI engines and track visibility trends over time.
VisiScan offers 2 pricing tiers, at $49 one-time (Full report). Agencies typically achieve 71% profit margins when reselling to clients.
No verified white-label program is documented. Client-facing surfaces, including reports and the Monitor dashboard, display the VisiScan brand. If white-label capability is important to your resale model, contact VisiScan directly to confirm whether custom branding options are available.
VisiScan queries ChatGPT, Claude, Perplexity, and Gemini directly as part of its core audit function. It does not integrate with these platforms via API or Zapier; instead, it acts as an external auditor that tests what each engine returns for buyer-intent questions. No bidirectional data sync or native integration exists.
A free scan returns results in approximately 60 seconds with no signup required. The Full Report ($49) runs at the same speed once you enter the client's website URL. Setup for ongoing Monitor plan monitoring is immediate; weekly re-scans begin automatically after purchase. No onboarding configuration steps are documented.
VisiScan is built for local SEO agencies, marketing agencies serving local service businesses (plumbers, electricians, dental practices, law firms), and digital consultants managing multi-location clients. It's most valuable where AI engines actively recommend local businesses in buyer-intent queries and where being named directly impacts lead flow.
VisiScan offers a 7-day clarity guarantee: if the Full Report doesn't show you 5 things you didn't know, reply within 7 days for a full refund. For ongoing Monitor subscriptions, cancellation terms are not documented; contact VisiScan to confirm whether historical scan data persists after cancellation or whether you lose access to trends and competitor-watch history.
VisiScan's multi-tenant or sub-account structure is not documented in available content. If you need to manage 10+ client scans under a single agency billing account with separate reporting per client, contact VisiScan to confirm whether agency or reseller plans support this workflow.