NBOUND RESEARCH — GEO SOFTWARE
AI Visibility & GEO Software: 2026 Buyer Guide
We tested five GEO platforms using 25 standardised brand prompts across ChatGPT, Perplexity, Gemini, and Google AI Overviews. This guide covers what each tool tracks, what it costs, and which buyers it suits.
Pricing checked: November 2026 · Testing method: Direct platform testing + vendor data · View disclosures
What is GEO software?
GEO software (Generative Engine Optimisation software) tracks how your brand appears in AI-generated answers from platforms like ChatGPT, Perplexity, Gemini, and Google AI Overviews. It measures whether your brand is cited, how often, in what position, with what sentiment, and against which competitors.
The category emerged in 2024 and grew fast in 2025 because a structural gap opened between organic search rankings and AI citations. A brand can rank number one in Google and have zero presence in AI-generated answers. The signals that drive each are different. GEO software makes that gap visible and measurable.
Most platforms in this category track some or all of the following: brand mention rate, share of voice, citation source analysis, competitor positioning, prompt coverage, and sentiment. The better platforms also tell you which content changes would improve your citation rate and track AI crawler behaviour on your site.
QUICK COMPARISON
Five tools at a glance
Based on November 2026 pricing and publicly available product information. See individual reviews for full methodology.
Peec AI
From $95/mo (50 prompts) | $245/mo (150 prompts)
Best for: SMB and mid-market teams. Fast setup, clean reporting. UI scraping methodology. Unlimited seats.
Watch out for: 3 AI models per plan; Perplexity is an add-on and Claude is Enterprise only.
Profound
Pricing by quote (Enterprise) | 7-day free trial on 50 prompts
Best for: Enterprise teams with compliance needs. $58.5M funded. SOC 2 Type II.
Watch out for: No self-serve prices are published, and most engine coverage sits on Enterprise.
Scrunch AI
From $250/mo billed annually (Starter, 350 prompts) | $300/mo month-to-month
Best for: Teams tracking Claude, Gemini and Meta AI alongside ChatGPT and Perplexity. SOC 2. GA4 connection.
Watch out for: Higher entry price than Peec AI, and only 3 seats on Starter.
Ahrefs Brand Radar
From $199/mo (standalone). Existing Ahrefs customers. 531M+ prompt database.
Watch out for: Measures a market-wide prompt index rather than your own prompts. Claude only via custom prompts; no Grok. Documented accuracy concerns.
Semrush AI Visibility Toolkit
$99/mo per domain (standalone). Teams already running Semrush for SEO. No free trial on the toolkit.
Watch out for: Per-domain and per-user pricing scales fast. Best value only if you also need the SEO stack.
How to choose the right GEO tool
The right tool depends on four variables: your budget, which AI platforms your buyers use, whether you need content execution or just monitoring, and whether compliance matters to your procurement team.
Under $250/month: Peec AI is the strongest choice for most SMB and mid-market teams. Fast to set up, clean reporting, unlimited seats, and transparent pricing. Semrush AI Visibility Toolkit at $99/month is worth considering if you already pay for Semrush SEO.
$250 to $500/month: Scrunch AI includes Claude, Gemini and Meta AI on every plan, where Peec AI and Profound keep Claude for Enterprise, and its GA4 connection separates AI referrals from direct traffic. Profound no longer publishes self-serve prices, so it now sits in the enterprise bracket below.
Enterprise: Profound for compliance-first environments (SOC 2 Type II, SSO, dedicated strategist). Scrunch AI for breadth of engine tracking. Ahrefs Brand Radar if AI visibility is one component of a large existing Ahrefs investment.
One thing to check before you buy: Ask each vendor which AI platforms they track and how. Some tools use API sampling, which returns different results than what users actually see. Peec AI and Scrunch use UI scraping to simulate real user sessions. Profound uses real user prompts. The methodology matters for data accuracy.
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