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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.

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.

Strong Buy7.3/10

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.

Strong BuyNo WLTiered
Fit

7.3/10

Typical Margin

71%

Time-to-Value

<1d under a day

Complexity
Low
Strong Buy
Fit73
Visit VisiScan
Best For
  • 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.
Not For
  • 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

Your Cost (USD)

$29/mo

Market Range

$199–$499/mo

Revenue Model

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 rankings

VisiScan 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 implementation

The 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 tools

Every 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.

Value MultiplierExceptional

10.0× value multiple: invest $29/mo and agencies typically charge $199–$499/mo for the work it powers.

Outcome35
÷
Friction3

Why This Succeeds

Higher is better

Implementation Challenges

Lower is better

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.

Best if: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 clients operate in geographies where AI engines are actively recommending local businesses (Astoria, NY plumbers, etc.) and you need proof of visibility gaps.

Pricing

VisiScan platform cost to your agency

~71% margin

Starts at $29/mo (Monitor), scales to $49 one-time (Full report)

Full report

$49 one-time
  • 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

$29/mo
$24/mo annually
  • 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

Service Applications
Reporting & AnalyticsSEO & ContentLead GenerationClient Communications
Best For
  • Local SEO agencies
  • Marketing agencies serving local service businesses
  • Digital marketing consultants
Not Ideal For
  • Enterprise-only agencies
  • Agencies without technical staff

Service Retainer

ai-powered

Agency 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.

VisiScan Local Visibility Starterlocal smb

Local service businesses (dentists, salons, law firms) wanting to know if AI engines recommend them to nearby buyers

$300/mo
Tool: $29/moLabor: 2h/mo × $75 = $150Margin: 40%Benchmark: $199–$499/mo
Deploy initial VisiScan full audit across ChatGPT, Claude, Perplexity, and Gemini for client's top buyer-intent queriesConfigure weekly automated re-scans and deliver plain-language monthly score summary to clientImplement prioritized schema markup fixes identified in the VisiScan fix planMonitor competitor AI-mention alerts and flag material changes to client each month
VisiScan Growth Brand Monitorgrowth smb

Funded startups and regional brands competing for AI-engine share-of-voice against category rivals

$500/mo
Tool: $29/moLabor: 3h/mo × $75 = $225Margin: 49%Benchmark: $499–$1.2K/mo
Set up VisiScan Monitor with custom competitor watchlist and branded score-trend dashboardBuild and publish llms.txt and structured schema markup based on initial audit findingsOptimize content briefs monthly using week-over-week VisiScan diff reports to close visibility gapsDocument monthly AI visibility report with competitor movement analysis and next-action recommendations
VisiScan Mid-Market AI Presencemid marketHIGH MARGIN

Multi-location or multi-product companies needing systematic AI engine visibility management across business units

$1.2K/mo
Tool: $29/moLabor: 5h/mo × $75 = $375Margin: 66%Benchmark: $1.2K–$3K/mo
Configure VisiScan Monitor API to manage programmatic scans across multiple product lines or locationsIntegrate AI-traffic beacon data into client analytics stack and build executive visibility scorecardAudit and deploy schema markup and llms.txt updates across all tracked pages on a rolling monthly basisTrain client marketing team on interpreting VisiScan readiness ladder and acting on prioritized fix plans
VisiScan Enterprise AI CommandenterpriseHIGH MARGIN

Enterprise brands requiring competitive AI-engine intelligence, cross-team governance, and board-level visibility reporting

$3K/mo
Tool: $29/moLabor: 8h/mo × $75 = $600Margin: 79%Benchmark: $3K–$10K/mo
Deploy VisiScan Monitor API integration across all brand properties with custom scan cadence and alert routingBuild executive AI visibility dashboard mapping score trends, competitor movements, and industry benchmark deltasOptimize and maintain schema markup, llms.txt, and agent-readiness ladder progression on a bi-weekly cycleIntegrate AI-traffic beacon data with enterprise analytics platforms and deliver monthly strategic visibility briefing

Scale Economics: Based on Starter Offer

Using VisiScan Local Visibility Starter at $300/client. Platform: $29/mo. Labor: 2h/client × $75/hr.

5 clients
$1.5K
MRR
$721 net (48%)
10 clients
$3K
MRR
$1.5K net (49%)
20 clients
$6K
MRR
$3.0K net (50%)

Net = MRR - platform cost - labor (2h/client × $75/hr).

Weighted Avg Margin
71%
Across all offer tiers, incl. labor at $75/hr
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Investment Decision Framework

Strategic vetting analysis for VisiScan

Vetting Verdict

Strong Buy

Strong agency fit, low resell friction

Agency Fit(white-label + resell pathway)
73/100
0255075100
Resell Friction(WL + mode + complexity)
50/100
0255075100

Buy If

4
OPERATIONAL FIT

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.

OPERATIONAL FIT

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.

OPERATIONAL FIT

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.

OPERATIONAL FIT

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

4
CAUTION

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.

CAUTION

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.

CAUTION

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.

CAUTION

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

Trade-offs & Gotchas

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.

Implementation Reality

Low effort: self-service setup with guided onboarding

Effort: 3/10Time: 1/10

Academy for VisiScan

Work through it in order: the course for this service first, then the modules behind it.

Course for this service

VisiScan Agency Implementation, AI Visibility Audits & Retainer Delivery

Learn how to position VisiScan's AI Visibility and AI Readiness scores as a recurring audit service for local and multi-location clients. This course covers running weekly scans, interpreting competitor-watch alerts, delivering prioritized fix plans with ready-to-publish markup, and building a retainer model around AI search visibility tracking.

Open the course

Core concepts

The mental model you need to price and scope the work.

  1. Listing Lock-In CompoundingConcept

    Listing Lock-In Compounding treats citation cleanup as an appreciating asset rather than a one-time project. The first 90 days of a local engagement are mostly repair: duplicate Google Business Profiles, inconsistent name-address-phone data, and unclaimed directories. Once those are resolved, every subsequent month adds a layer that a competitor would have to replicate to displace the client: review velocity, photo cadence, category depth, and answer-engine presence. That accumulated layer is what makes local retainers sticky, and it is also where margin lives, because the repair work is largely automatable while the compounding work is strategic. A concrete signal: VisiScan audits whether ChatGPT, Perplexity, and Gemini recommend a business for buyer-intent questions, which means an agency can now show a client that a year of clean listings and steady reviews is what makes the brand quotable inside AI answers, not just visible in Maps. Agencies that stop at distribution tools sell a commodity; agencies that sell the compounding layer defend the retainer.

  2. Answer Surface ExpansionConcept

    Answer Surface Expansion treats local visibility as a widening set of surfaces where a client can be named, not a single map pack. The first surface is the classic one: Google Maps, Apple Maps, and directory listings that BrightLocal, Advice Local, or Whitespark keep consistent. The second is the AI answer layer, where ChatGPT, Claude, Perplexity, and Gemini respond to buyer-intent questions like "best plumber near me." VisiScan audits that layer directly, scoring whether AI engines recommend a business or name a competitor instead. For agencies, the framework matters because a client can rank in the map pack and still be absent from the answer a buyer reads first. The practical move is to run both audits on the same account, then price the AI-visibility work as an extension of the existing local retainer rather than a separate engagement. That keeps the recurring relationship intact while adding a defensible new line item.

  3. Citation Decay Half-LifeConcept

    Citation Decay Half-Life is the rate at which a directory listing, map pin, or review profile loses accuracy and authority after it is published, and it reframes local SEO as a maintenance contract rather than a one-time cleanup. Agencies that sell a single citation build watch the asset degrade within two to three quarters as hours change, locations close, and aggregator records drift; agencies that price a recurring audit cycle capture the renewal. The decay rate varies by surface: core data aggregators hold longer than niche directories, and Google Business Profile attributes shift fastest. A practical example sits in the AI answer layer, where VisiScan audits whether ChatGPT, Claude, Perplexity, and Gemini still recommend a business for buyer-intent questions, a check that only holds for the moment it runs. Forrester's September 2026 finding that 83% of B2C marketers now work with AI agents raises the stakes, because stale listings feed stale answers at machine speed.

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.