AI Visibility Tracker vs Scrunch

Scrunch is an AI customer-experience platform that combines visibility monitoring with agent traffic analytics and an agent-experience layer that serves machine-readable pages to AI crawlers. It is priced from $250/month on annual billing ($300 month-to-month) for 350 custom prompts and three seats, with a 7-day free trial that needs no card. AI Visibility Tracker does the measurement half — five engines, grounded, scored daily — as a $29 one-time macOS/Windows app on your own API key, and does none of the agent-experience half.

Last updated 2026-07-28

What is Scrunch?

Scrunch positions itself as an AI customer experience platform rather than purely a visibility tracker. Alongside monitoring how a brand appears across ChatGPT, Claude, Gemini, Perplexity, Google AI Mode and AI Overviews, and Meta, it tracks agent traffic to attribute AI-driven visits, and offers an Agent Experience Platform that serves machine-readable versions of pages to AI agents while leaving the human-facing design intact.

Published pricing on 28 July 2026 was $250/month billed annually or $300 month-to-month for Starter, including three user licences, 350 custom prompts, 1,000 industry prompts, three personas and five page audits; $417/month annually for Growth; and quote-only Enterprise adding SAML/OIDC SSO and a data API. It states SOC 2 Type II compliance and role-based access control, and offers a 7-day free trial with no credit card required.

Where does Scrunch genuinely win?

• The agent-experience layer. Serving compact, machine-readable pages to AI crawlers while keeping the human design is a capability nothing else in this comparison has, and it is a different kind of product from measurement.
• Agent traffic attribution — connecting AI-driven visits back to the answers that produced them. That is infrastructure-side data a desktop app cannot collect.
• Included industry prompt sets — 1,000 to 2,500 alongside your custom prompts — which gives you category-level context rather than only your own numbers.
• Personas: modelling how answers differ by buyer type rather than assuming one neutral asker.
• Organisational fit at the mid-market and enterprise end: seats included on every tier, RBAC, SOC 2 Type II, SSO and a data API at enterprise.
• A 7-day free trial with no credit card, which is the least friction of anyone in the category.

What exactly does AI Visibility Tracker do?

It asks the questions your buyers ask to five AI answer engines every day — ChatGPT, Claude, Gemini, Perplexity and Grok — checks each answer and its citations for your brand and your competitors, and reports the result as a Share of AI Answer score with a per-engine breakdown and a ranked list of the domains beating you.

Three implementation details are worth knowing because they determine whether the numbers mean anything. Every engine runs in its web-grounded mode, with no option to disable it: an ungrounded model answers from stale training data and fabricates citations that look entirely real once they are in a spreadsheet. Citations are read from each provider's structured grounding metadata rather than scraped out of the answer prose, because prose URLs are model output and model output can be invented. And the measurement models are fixed to consumer-representative tiers rather than being cost-optimised, because measuring ChatGPT with a cheap mini model measures a product nobody uses.

Everything is stored in a SQLite database on your own machine, including the full raw response from every call, so any number in the history can be audited back to the answer that produced it. API keys are encrypted with the operating system keychain and never written to that database in plaintext. There is no telemetry, no account, and no server of ours in the path. The details are in why web-grounded measurement is non-negotiable.

How do the two compare directly?

Are these even the same category?

Only partly, and it is worth being clear about it. Roughly half of what Scrunch sells — agent traffic attribution and the agent-experience serving layer — has no counterpart in a desktop measurement tool, and would not make sense as one. Those capabilities need to sit in front of your website, not on your laptop.

The overlapping half is the visibility measurement: fixed prompts, multiple engines, citation checking, competitor context. If that overlap is all you actually need, a $29 one-time app covers it and the price difference over a year is roughly $2,970. If you want the agent layer too, no amount of measurement quality substitutes for it, and this comparison should end in Scrunch's favour.

What are AI Visibility Tracker’s real limitations?

It is a single-user desktop app, and every limitation follows from that. There are no team seats, no shared web dashboard, no SSO or SAML, no SOC 2 report, and no role-based access control — if procurement needs any of those, this is not a candidate and no amount of feature comparison changes that.

• macOS (Apple Silicon) or Windows (64-bit) — not Linux, and not a hosted option. The Windows build isn't code-signed yet, so it shows a SmartScreen warning on first run.
• Scheduled runs need your computer awake. A cloud platform runs at 3am regardless; this does not.
• You manage the API key and the spend. There is a cost preview and a per-run budget cap (default $5), but the account and the bill are yours.
• No crawler or agent analytics. Knowing how often ChatGPT's crawler hits your site is a genuinely useful, genuinely different dataset that platforms collect and this app does not.
• No multi-region or multi-language answer simulation. You measure from where you are.
• No vendor-curated industry benchmarks — you get your own numbers, not a comparison against a panel of brands you do not have access to.
• Prompt volume is bounded by your own API budget and patience rather than by a plan tier, which is an advantage until you want to run thousands of prompts across many markets, at which point managed infrastructure genuinely wins.

Why can this be a one-time price when everything else is a subscription?

Because the expensive, recurring part of AI visibility tracking — running thousands of grounded engine queries every month — happens on your own API key at cost, and the software runs on your computer instead of on infrastructure someone has to keep online for you. There is no per-seat server cost for us to recover monthly, so there is no monthly bill.

That is a genuine structural difference rather than a discount, and it cuts both ways. A cloud platform charges monthly because it is running queries for you, storing your history, keeping dashboards available to your team, and absorbing every provider API change. Pay $29 once and those things are yours to handle: your computer has to be awake for a scheduled run, your API key funds the queries, and your data lives in a file you are responsible for backing up.

So the choice is not really cheap versus expensive. It is whether you want a managed service or a tool. If you have an enterprise budget and a team that lives in shared dashboards, a platform is the better product. If you want the number on your own desk every morning without a recurring line item, that is what this app is for.

How current are these figures?

Competitor pricing below was read from each vendor’s own pricing page on 28 July 2026 and is quoted with the billing basis they display. Pricing in this category changes often — check the vendor’s page before making a decision on ours.