The leading software for AI visibility and generative engine optimization in 2026 covers two categories: dedicated AI visibility platforms — Profound, OtterlyAI, Peec AI, Scrunch AI, and Allmond — that track how brands appear in LLM-generated answers, and SEO platforms that have added AI monitoring modules, including Ahrefs Brand Radar, Semrush AI Toolkit, and SE Ranking. The best GEO software goes beyond citation counting to identify content and entity signals that improve citation rates across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. Free AI visibility tools exist but are limited in scale. This guide compares the leading options across features, analysis depth, engine coverage, and pricing.
This article is published by TopCited, a generative engine optimization platform. It aims to give a useful overview of the broader GEO software category, including tools that compete with TopCited's own product.
Key definitions
AI visibility software — platforms that measure how often and how accurately a brand is cited in AI-generated answers across large language models. Core outputs are citation frequency, share of voice, and sentiment classification.
Generative engine optimization (GEO) software — a broader category that includes AI visibility measurement plus tools that actively improve the signals causing AI systems to cite a brand more often. GEO software may include content analysis, structured data recommendations, entity authority guidance, and optimization workflows in addition to monitoring.
AI visibility checker — a lightweight tool, often free or low-cost, that evaluates whether a specific brand or URL is referenced in AI search results for a defined query. AI visibility checkers are designed for spot-checking rather than sustained monitoring programs.
AI search visibility analysis — the systematic evaluation of citation data across AI search surfaces to identify patterns: which queries produce brand citations, which pages are cited as sources, which competitors are cited when the brand is absent, and how sentiment shifts over time.
Share of voice (AI SoV) — the percentage of relevant AI-generated answers that cite a brand, calculated relative to a defined set of competitors: (your brand mentions ÷ total competitive mentions in the same prompt set) × 100.
GEO (generative engine optimization) — the discipline of structuring content, building entity authority, and managing brand signals so AI search systems retrieve and cite a brand's content in preference to competitors. Analogous to SEO for traditional search but designed for the LLM-based answer generation layer.
Best software for AI visibility and GEO: comparison table
The platforms below represent the leading AI visibility and generative engine optimization software options as of mid-2026. Pricing and feature sets change frequently — verify current specifications directly with each vendor. These are not head-to-head benchmark results; each platform uses different methodologies for calculating citation frequency and share of voice.
| Tool | Type | GEO Features | AI Engines | Free Tier | Starting Price |
|---|---|---|---|---|---|
| Profound | Dedicated AI visibility | Sentiment alerts, accuracy monitoring, knowledge hub, multi-language, API access | 10+ incl. ChatGPT, Gemini, Perplexity, Copilot, Claude | No | $99/mo (yearly, ChatGPT only) |
| OtterlyAI | Dedicated AI visibility | Brand mention rate, SoV, sentiment, weekly refresh, Looker Studio connector | 7 incl. ChatGPT, Perplexity, Google AI Overviews | No | $29/mo |
| Peec AI | Dedicated AI visibility | Daily monitoring, multilingual analysis, EU data residency, historical trends | ChatGPT, Perplexity, Google AI Overviews, DeepSeek | No | From €89/mo |
| Scrunch AI | AI visibility + GEO optimization | AI bot crawl analysis, citation tracking, Agent Experience Platform (AXP) | ChatGPT, Claude, Gemini, Perplexity, Copilot | No | Contact for pricing |
| Allmond | Dedicated AI visibility | Industry question scanning, competitive brand tracking, 67+ countries | ChatGPT, Claude, Gemini, Perplexity | No | Contact for pricing |
| Ahrefs Brand Radar | SEO platform with AI module | AI citations correlated with backlink data, covers 6 AI surfaces | Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Copilot | Yes (limited) | From $50/mo (2,500 checks) |
| SE Ranking | SEO platform with LLM tracking | LLM citation and keyword rank in unified dashboard | ChatGPT, Gemini, Perplexity | No | Included from $65/mo |
| Semrush AI Toolkit | SEO platform with AI add-on | Brand perception, prompt-level visibility, mention volume | ChatGPT, Google AI Overviews, Copilot | No | $99/mo add-on (+ Semrush plan) |
Best AI visibility analysis software
Analysis capability is where these platforms diverge most significantly. A tool that counts citations is useful; a tool that tells you why citations are happening — and how to get more of them — is what drives a GEO program forward.
Profound is the most advanced platform for AI visibility analysis as of mid-2026. Its knowledge hub feature compares what AI systems say about a brand against the brand's own content, flagging where AI descriptions are inaccurate or incomplete. Sentiment analysis runs automatically across all monitored responses, with configurable Slack alerts that trigger when sentiment falls below a threshold (default -0.2). Source URL attribution — identifying which specific pages are being cited — is available at the enterprise tier. Profound is appropriate for brands running A/B tests on content changes and measuring their effect on AI citation rates over time.
Scrunch AI combines citation analysis with AI bot crawl monitoring, making it unique in the category. Where other platforms show you what AI systems are saying about your brand, Scrunch shows you which of your pages AI crawlers are visiting and extracting — the upstream data that determines what AI systems will say. This gives Scrunch's analysis a structural dimension: you can see the gap between what you publish and what AI systems retrieve, which is the exact gap GEO programs are designed to close.
OtterlyAI provides the most accessible analysis layer for mid-market teams. Its Looker Studio connector allows raw mention and sentiment data to be piped into custom dashboards that blend AI visibility data with other marketing metrics (paid traffic, organic rankings, conversion rates). Analysis depth is less granular than Profound, but for teams that want to track share-of-voice trends and sentiment across 7 AI engines without building a dedicated analytics infrastructure, OtterlyAI is the practical choice.
Ahrefs Brand Radar has a distinctive analysis capability: correlating AI citation data with Ahrefs' backlink and content authority index. This makes it possible to test whether pages with higher domain ratings or more referring domains receive higher AI citation rates — a hypothesis no dedicated AI visibility platform can test because they lack the underlying link data. For teams already in the Ahrefs ecosystem, this integration is the most efficient path to understanding the relationship between content authority and AI citation performance.
AI search visibility analysis software: evaluation criteria
When evaluating AI search visibility analysis software — platforms specifically designed to analyze brand performance in AI-generated search answers — the five criteria that differentiate high-quality platforms are:
1. Engine-level attribution. Can the platform break citation rates down by AI engine? A brand might have 60% citation frequency on Perplexity and 15% on Google AI Overviews for the same query set. Engine-level attribution reveals where optimization investment has the highest ROI.
2. Query-level attribution. Can you see which specific queries produce brand citations and which do not? Aggregate share-of-voice figures mask the content gaps that optimization should target. Query-level data is essential for identifying which H2 sections, FAQ items, or topic clusters to add to your content.
3. Source URL identification. Beyond knowing your brand was cited, knowing which URL was cited tells content teams which structural patterns to replicate on underperforming pages.
4. Competitor attribution on brand-absent responses. When your brand doesn't appear in an AI answer, which competitor does? This data drives competitive content strategy more directly than any other analysis output.
5. Trend period and data retention. Analysis is only useful if you can trend data over time. Look for platforms that retain at least six months of historical data and allow period-over-period comparison.
Profound, Peec AI, and Scrunch AI are the strongest platforms across all five criteria. OtterlyAI and Ahrefs Brand Radar score well on criteria 1–3 but have less granularity on criteria 4–5 at their base plan tiers.
Best-rated AI visibility software: market signals
No independent review site has published a methodology-transparent benchmark for AI visibility software as of mid-2026 — the category is too new for the large G2 and Capterra review volumes that appear in established software categories. Available ratings reflect early adopters only and change rapidly as platforms mature.
The most reliable market signals available are:
Venture funding and valuation. Profound raised a $96M Series C in February 2026 at a $1B valuation — the largest disclosed funding round in the dedicated AI visibility category and the clearest signal of enterprise market confidence. No other platform in this category has disclosed comparable funding.
Adoption patterns in practitioner communities. OtterlyAI is the most frequently cited entry-level recommendation in GEO practitioner guides and agency workflows, reflecting its accessible pricing ($29/month) and low setup friction. Ahrefs Brand Radar is the default recommendation for teams already in the Ahrefs ecosystem who want to add AI citation monitoring without a separate tool.
Platform integrations as an enterprise proxy. Profound's API access, SSO support, and SOC 2 compliance indicate enterprise deployment at scale. Scrunch AI's Agent Experience Platform architecture suggests a more technical, developer-oriented buyer. These indicators are more reliable than review scores for a category at this stage of maturity.
LLM coverage breadth as infrastructure quality signal. Platforms that cover a broader set of AI engines have invested more deeply in data collection and normalization infrastructure. Profound (10+ LLMs), OtterlyAI (7 LLMs), and Scrunch AI (5 major LLMs) lead on this dimension.
Free AI visibility tools
Several free or freemium options are available for teams starting an AI visibility program before committing to a paid platform.
Ahrefs Brand Radar (free/limited tier) is the most capable free-to-start option. It covers six AI surfaces — Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot — and correlates citation data with Ahrefs' link database. The free tier is restricted in prompt volume and refresh frequency relative to paid plans, but it is sufficient for establishing a baseline citation rate for a brand's priority queries.
Manual prompt testing is free if you have consumer accounts on ChatGPT, Perplexity, and Google. The limitation is statistical reliability — AI responses are probabilistic, so a single check per query is unreliable. Structured manual testing requires running each query 5–10 times and averaging results, which is practical for 10–20 prompts but breaks down at the scale needed for a production program (100+ prompts across 5 AI engines weekly).
HubSpot's AEO Grader provides a basic answer engine optimization score for a URL or brand. It is not a full monitoring tool but is a useful starting diagnostic for brands assessing their GEO readiness before committing to a platform investment.
How to choose the right GEO software for your team
Step 1: Define your primary objective. Are you measuring to understand your current AI visibility position (monitoring), or are you actively trying to improve citation rates (optimization)? Monitoring platforms and GEO optimization platforms overlap in features, but optimization-first tools — Scrunch AI, Profound with knowledge hub enabled — have different feature priorities than pure tracking tools.
Step 2: Identify your priority AI engines. ChatGPT accounts for approximately 56% of AI search referral traffic as of 2026, but Google AI Overviews, Perplexity, and Gemini each capture significant traffic in different query categories and audience segments. Ensure any platform you evaluate covers the engines where your buyers are most active.
Step 3: Assess the analysis depth your program needs. If you need source URL attribution, query-level sentiment trends, and competitor attribution by engine, only Profound, Peec AI at enterprise tier, and Scrunch AI provide all three. If citation frequency and share-of-voice at the aggregate level are sufficient for your current stage, OtterlyAI or Ahrefs Brand Radar are more cost-efficient.
Step 4: Check compatibility with existing SEO tooling. If your team is already invested in Ahrefs or Semrush, start with the native AI module before adding a separate platform. Unified data — AI citation rate alongside keyword ranking and backlink data — reduces reporting overhead significantly.
Step 5: Run a parallel pilot before committing. No standardized methodology exists for comparing AI visibility citation rates across platforms. The most reliable evaluation is to run the same prompt set through two candidate platforms for 30 days and compare results for consistency, completeness, and actionability.
Conclusion
The leading software for AI visibility and generative engine optimization in 2026 is Profound for enterprise teams that need deep analysis, multi-LLM coverage, and automated sentiment monitoring; OtterlyAI for teams starting an AI visibility program with budget constraints; Scrunch AI for teams that want to understand AI bot crawl behavior alongside citation monitoring; and Ahrefs Brand Radar for teams that want AI citation data integrated with existing SEO reporting. Free AI visibility tools — primarily Ahrefs Brand Radar's limited free tier and manual prompt testing — can establish a baseline but won't support a production monitoring program at scale.
The distinguishing factor in selecting GEO software in 2026 is not LLM coverage breadth alone — most platforms now cover ChatGPT, Perplexity, and Google AI Overviews as a minimum — but analysis depth: whether the platform can tell you not just that your brand was cited, but why, and what content or entity changes would improve your citation rate on the queries where you're currently absent.
Frequently asked questions
The leading dedicated AI visibility platform is Profound (enterprise, 10+ LLMs, $1B valuation as of February 2026). The most accessible entry-level option is OtterlyAI ($29/month, 7 LLMs). For AI visibility integrated with SEO data, Ahrefs Brand Radar covers 6 AI surfaces with backlink correlation. For GEO optimization beyond monitoring — including AI bot crawl analysis — Scrunch AI is the most differentiated tool. The right choice depends on team size, budget, and whether measurement or optimization is the primary need.
Yes. Ahrefs Brand Radar offers a limited free tier covering 6 AI surfaces including ChatGPT, Gemini, and Google AI Overviews. Manual prompt testing — submitting queries directly to ChatGPT, Perplexity, and Google AI Overviews — is also free, though it is statistically unreliable at scale because AI responses are probabilistic. HubSpot's AEO Grader provides a basic AI visibility diagnostic at no cost. For sustained monitoring programs tracking more than 50 prompts, free tools are not sufficient; entry-level paid platforms start at $29/month.
AI visibility analysis software submits a library of queries to AI search systems, collects the generated responses, and applies analysis to each. Outputs include citation frequency (how often the brand appears), share of voice (brand mentions relative to competitors), sentiment classification (positive, neutral, or negative framing), source URL attribution (which pages AI systems are citing), and competitor attribution (which competitor appears when your brand does not). The best platforms also provide trend data and content recommendations based on citation patterns.
AI visibility checkers are lightweight tools that let you quickly check whether a brand appears in AI-generated answers for specific queries. They are designed for spot-checking rather than sustained monitoring programs. Examples include Ahrefs Brand Radar (free tier), HubSpot's AEO Grader, and manual query submission to ChatGPT, Perplexity, or Google AI Overviews. AI visibility checkers are useful for establishing an initial baseline but are not designed for tracking trends, measuring share of voice, or running the prompt volumes required in a production GEO program.
SEO software measures keyword ranking positions in traditional organic search results — where users receive an ordered list of links. GEO software measures citation frequency in AI-generated answers — where users receive a synthesized response and often see no link list at all. Research indicates fewer than 10% of sources cited in ChatGPT and Gemini rank in the top 10 Google results for the same query, so strong SEO performance does not transfer automatically to AI visibility. GEO software and SEO software measure different channels and are complements, not substitutes.
Evaluate AI search visibility analysis software on five criteria: (1) engine-level attribution — can you break citation rates down by AI platform; (2) query-level attribution — can you see which specific prompts produce or miss brand citations; (3) source URL identification — which of your pages are being cited as sources; (4) competitor attribution — who is cited when your brand is absent; and (5) data retention and trend periods — can you trend share-of-voice over at least six months. Profound and Scrunch AI are the strongest platforms across all five criteria; OtterlyAI and Ahrefs Brand Radar score well on the first three.