AI Visibility Software Pricing for Local Brands

Among the public plans compared here, Otterly starts at $29 per month for a small prompt set. Semrush lists a $99 per month per-domain base price billed annually. Profound lists a $99 per month Starter plan billed yearly. Costs rise when a buyer adds prompts, AI providers, competitors, locations, daily refreshes, integrations, or managed execution.

That is why AI visibility platform pricing is hard to compare. Vendors are not always selling the same thing.

One tool may monitor brand mentions in AI answers. Another may track prompts across ChatGPT, Gemini, Perplexity, Claude, and Google AI surfaces. Another may store citations, competitors, provider differences, and history. A local visibility platform may also help fix the reviews, profiles, pages, and cited sources that explain why the business is missing.

That is why the better question is not "what is the cheapest AI visibility software?" It is "what work does the price include?"

If you are still deciding which category of vendor belongs on the shortlist, compare the best AI visibility tools and services for local businesses before comparing monthly prices.

The Cheers AI visibility platform is built for local service brands that need measurement and improvement by location, market, source, and service line.

The main cost drivers

AI visibility software usually gets more expensive as the measurement system gets broader.

The biggest drivers are prompt volume, AI provider coverage, number of locations, number of competitors, refresh frequency, citation capture, historical storage, reporting depth, integrations, and services. For local businesses, location count is especially important because one brand prompt is not enough.

A single-location med spa may start with a smaller prompt set: brand, category, treatment, competitor, and local recommendation prompts. A 75-location HVAC group may need prompts by market, service line, urgency, competitor, provider, and acquired brand name.

That extra scope is not waste. It is the difference between a screenshot and an operating system.

Public price anchors

Published pricing changes quickly, and many enterprise vendors quote custom plans. Still, public pages give useful anchors.

As of July 2026, Otterly lists a $29 monthly Lite plan with 15 prompts, a $189 Standard plan with 100 prompts, and a $489 Premium plan with 400 prompts. Semrush lists its AI Visibility Toolkit at $99 per month per domain, billed annually, with 25 tracked prompts. Its knowledge base explains how additions align with an existing annual subscription. Semrush also lists $60 per month for 50 additional prompts and $99 per month for each additional domain or location in Brand Performance.

Profound lists Starter at $99 per month billed yearly with 50 prompts and ChatGPT tracking. Growth is $399 per month billed yearly with 100 prompts across three answer engines. Enterprise pricing is custom. Peec's pricing still depends on the tracked prompt and model scope, so buyers should compare the actual run volume instead of treating the plan name as the unit of work.

Those anchors are not apples-to-apples quotes. A 25-prompt domain checker, a 100-prompt brand monitor, a multi-provider citation platform, and a 100-location done-for-you local visibility program are different buys. The useful takeaway is this: software-only monitoring can start below enterprise pricing, but multi-location service-brand programs become custom when locations, competitors, providers, refresh cadence, and execution support are part of the scope.

Those rows answer the software-pricing question. They do not price the people required to fix what the software finds. A home-service brand considering managed execution should compare the full program with the internal team or agency retainer it would supplement or replace, rather than comparing it with a $29 monitoring tool.

Managed services need a separate comparison. The home-service agency alternatives guide summarizes public scope across website and SEO execution, paid media, review operations, AI cited-source tracking, employee attribution, and market-level ownership.

This visual uses rounded volume from a live Cheers monitoring scope: more than 75 prompts, four AI engines, and more than 35,000 provider checks. It shows what drives the measurement workload without publishing performance history, brand names, prompts, source URLs, or competitor identities.

Monitoring is cheaper than improvement

Pure monitoring should cost less than a platform that helps improve outcomes. Measurement is still valuable. It tells the team whether the business appears, which competitors appear, which providers differ, and which sources are cited.

But measurement alone does not fix weak reviews, thin location pages, stale Google profiles, duplicate listings, conflicting citations, or missing service proof. Someone has to turn the report into work.

For local service brands, that labor is often the hidden cost. If the vendor only reports gaps, your internal team still needs profile owners, content owners, listings owners, review program owners, and managers who can keep the field workflow alive.

Best Platforms for Tracking ChatGPT, Gemini, and Perplexity Visibility covers the tracking layer. Local SEO Agency Alternative for Multi-Location Home Services compares managed operating models with broader agency scope.

What local businesses should ask

Before comparing price, define the unit of work.

• How many prompts are included?
• Which providers are included?
• Are locations priced separately?
• Are competitors included?
• How often do prompts refresh?
• Are cited sources stored as URLs?
• Does the system show provider differences?
• Does the vendor help improve reviews, profiles, pages, citations, and proof?

Those questions keep a buyer from comparing a brand-monitoring tool against a local visibility program as if they were the same product.

How to scope a first budget

Start with the smallest prompt set that can still support a decision.

For a single-location business, test branded, category, service, competitor, and high-intent recommendation prompts across the providers that matter. For a multi-location service brand, pick the revenue-critical markets first. Add service lines, competitors, and refresh cadence only when the results will change what the team does next.

If the team cannot act on a weekly report, do not buy a weekly report. If a market is strategically important, acquired, seasonal, or underperforming, measure it more often. If a market is stable and well-supported, monthly may be enough.

The right budget is the one that creates a usable cadence: measure, inspect the source, assign the owner, fix the artifact, and retest.

When managed help is worth the cost

Pay for done-for-you help when the constraint is execution, not awareness.

If your team already has strong owners for reviews, listings, profile hygiene, local pages, structured data, and AI visibility reporting, software may be enough. If those owners do not exist, a cheaper dashboard can become expensive because the work never happens.

That is common in PE-backed home services, franchise systems, and service rollups. The company has a growth goal, but the local visibility work is split across marketing, operations, branch managers, agencies, and software tools.

In that case, the better vendor may cost more on paper and less in reality because the system includes execution.

To get a number instead of a range, book a Cheers demo and bring the locations you want to measure first. Pricing gets scoped around real prompt volume, provider coverage, markets, competitors, and execution support.

Sources

• Semrush AI Visibility Toolkit pricing and knowledge base. Official Semrush sources used for the $99 per month per-domain price, annual billing term, and plan limits.
• Otterly pricing. Official Otterly source used for public plan and prompt-volume context.
• Peec pricing. Official Peec source used for prompt and model-based pricing context.
• Profound pricing. Official Profound source used for flexible-plan category context.
• Google Search Central: AI features and your website. Supports the Search foundation behind AI visibility work.
• What Is a Good AI Visibility Score for a Local Business?. Cheers benchmark and scoring interpretation used for local visibility context.

Dylan Allen-Arnegård is the CEO & Co-Founder of Cheers, the done-for-you platform that manages the website, reviews, listings, structured data, and local content that get service businesses recommended across Google, Maps, ChatGPT, and Perplexity.