AISO Review: Is This AI Search Optimization Tool Worth It? (2026)
AISO tracks real ChatGPT, Gemini, and Claude conversations from an opt-in panel of 5M+ users. We reviewed the platform to find out if real conversation data actually moves the needle — or if it's a clever insight engine without an execution arm.

Most AI visibility tools simulate what happens when someone queries ChatGPT. They run synthetic prompts, scrape the results, and report back on brand mentions. AISO takes a different approach: it taps real conversations that real users have with ChatGPT, Gemini, and Claude through a consent-based data panel.
That is a fundamentally different data source, and it raises a legitimate question — does seeing what your customers actually ask AI engines produce better outcomes than simulating what they might ask?
This AISO review answers that question from a practitioner perspective. We use AEO tools daily to manage client visibility across AI engines. We do not sell AISO. What follows is an honest breakdown of the platform's pricing, capabilities, and honest limitations.
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What Is AISO and Who Built It?
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AISO (AI Search Optimization) is a conversation intelligence platform that reveals what customers ask ChatGPT, Gemini, and Claude about brands — based on real, anonymized user conversations rather than synthetic prompts.
The company behind the platform is getaiso.com, founded by Ben Tannenbaum with Alon Koren as CTO. Tannenbaum's prior work was in B2B SaaS for commercial real estate, where he built a give-to-get data-sharing model among coworking operators — a direct precursor to AISO's panel model, where users share their AI conversations in exchange for premium model access. Koren brings physics and AI expertise to the engineering side.
AISO launched in May 2025 and operates as a bootstrapped product targeting medium-to-large B2C brands and marketing teams. The company has not disclosed funding to date, which contrasts sharply with the venture-backed platforms like Profound ($58M) or Peec ($29M) that dominate this category. That funding gap defines the product's scope: AISO is not trying to build an enterprise analytics suite. It is solving one specific problem — giving brands visibility into real customer intent inside AI platforms.
The differentiation is the data source. Traditional AEO monitoring platforms (Peec, Otterly, Gauge) run your keywords through AI engines and measure outputs. AISO inverts this: it starts with what people are actually asking, then maps where brands appear or don't. The company claims 500+ brands use the platform and reports a 4.9/5 rating from marketing strategists and SEO practitioners.
Competitors the company benchmarks against include Goodie, Profound, Otterly, Knowatoa, and Omnia — a diverse set that suggests AISO sees itself occupying a distinct lane rather than competing head-to-head with traditional monitoring dashboards.
What Does AISO Cost and What Do You Get?
AISO starts at $20 per month for agencies and freelancers, with enterprise pricing available for brands requiring deeper monitoring and dedicated analysis.

The agency and freelancer tier at $20 per month is the most transparent entry point in the AEO software market. For that price you get 15 tracked topics per client, fan-out sub-query analysis, source attribution and citation tracking, competitor comparison reports, and conversation volume trends. A free trial is available with three searches included — no credit card required. This positions AISO as the lowest barrier-to-entry option in the AEO tool category by a significant margin.
The brand tier uses enterprise custom pricing, accessible only by booking a demo. This tier adds multi-brand and multi-market tracking, dedicated data analyst support, custom reports, and share of voice tracking against competitors. No self-serve tier exists for brands at this level, which means smaller in-house teams must either start with the agency plan or commit to an enterprise conversation.
An API tier also exists for AI search apps and data teams, delivered through the Apify platform with REST API access to the 5M+ conversation dataset, structured metadata on intent and persona, brand mentions, bulk export, and webhook support. Pricing for the API tier is not publicly listed.
For context: Peec AI starts at $95 per month for 50 prompts across three models. Otterly starts at $29 per month for 15 search prompts. Gauge Growth costs $599 per month for 600 daily prompts and 18 generated articles. AISO's $20/month agency entry point is the lowest in the category, but the comparison only holds if real-conversation-based data answers the same questions that prompt-simulation-based data does. That comparison drives the rest of this AISO review.
| Feature | AISO Agency ($20/mo) | AISO Brand (Custom) | Peec Pro ($245/mo) | Otterly Standard ($189/mo) |
|---|---|---|---|---|
| Data Source | Real user conversations | Real user conversations | Simulated prompts | Simulated prompts |
| AI Engines | ChatGPT, Gemini, Claude | ChatGPT, Gemini, Claude | Multi-engine | Multi-engine |
| Topics Tracked | 15 per client | Custom | 150 prompts | 100 search prompts |
| Fan-Out Analysis | Yes | Yes | No | No |
| Content Generation | No | No | No | No |
| Best For | Agencies, freelancers | Mid-to-large brands | Monitoring teams | Monitoring teams |
The pricing is refreshingly simple. The limitation is that two of the three tiers have no public pricing, and the agency plan may be too constrained for brands managing more than 15 topics at a time.
How AISO's Fan-Out Analysis Works
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Fan-out analysis is AISO's most technically distinctive feature — and the one that separates it most clearly from conventional AEO monitoring tools.
When a user asks ChatGPT a complex question, the model does not answer from memory alone. It decomposes the question into sub-queries, runs those sub-queries against web search (typically Bing for ChatGPT), and synthesizes the results into a response. These derivative searches are called "fan-outs." The brand that ranks on Google for those sub-queries is the brand that gets cited — not necessarily the brand that ranked for the original keyword.
AISO surfaces these fan-out queries so you can see the exact Google ranking landscape your competitors occupy when ChatGPT generates an answer. This answers a question that stumps many marketing teams: why does a competitor get cited by ChatGPT on a topic where our brand ranks first on Google? The answer is usually in the fan-outs — a derivative sub-query where the competitor holds a strong position.
This is genuinely useful intelligence. Without fan-out data, you are optimizing for a keyword set that may not match what ChatGPT actually searches when constructing its response. With fan-out data, you can identify the specific Google rankings worth targeting to influence AI citations.
The same logic applies to Gemini, which uses Google Search as its primary retrieval layer. AISO's real-conversation data means the fan-out queries it surfaces are based on what actual users asked — not synthetic prompts that a tool's team decided to run.
The limitation here is scope. AISO covers ChatGPT, Gemini, and Claude. Platforms like Perplexity (which uses different retrieval logic), Microsoft Copilot, and Google AI Overviews are not included. For brands where Perplexity drives meaningful referral traffic, this is a notable gap. AISO covers three of the most used AI engines, but the AEO landscape has more than three engines that matter.
What Conversation Intelligence Actually Shows You
The second core capability in AISO is conversation intelligence — access to the 5M+ real conversation dataset, filterable by brand or competitor to identify mention gaps and surface the language patterns buyers use when researching solutions.
This is where AISO's data model creates a genuine advantage over simulation-based tools. A tool like Peec or Otterly tells you how often your brand appears when you run a specific prompt. AISO tells you what prompts real people are running about your category, your brand, and your competitors — before you knew to ask the question.
That pre-competitive insight is the platform's most compelling use case. Marketing teams typically build their prompt tracking sets based on keywords they already know matter. AISO's conversation data can surface emerging topics and new intent patterns that haven't yet shown up in keyword tools. This is early warning intelligence, not retrospective reporting.
The consent-based panel methodology is worth scrutinizing. Users opt in to share their AI conversations in exchange for premium model access. Every conversation is anonymized and quality-checked before entering the dataset. This is not passive scraping — it is a structured data product, which creates both an advantage (higher-quality, real behavioral data) and a limitation (the panel may over-represent certain user demographics or AI usage patterns). AISO claims 5M+ conversations, but the panel's representativeness of the full ChatGPT user base is an open question.
The platform also provides intent analysis — categorizing conversations by what buyers are actually trying to accomplish — and ROI attribution that connects AI mentions to business results. ROI attribution in AI search is notoriously difficult to measure, so this feature is worth testing thoroughly against your own analytics before relying on it.
What AISO does not do: it does not generate content to close the gaps it finds. The platform identifies where you are absent from AI conversations and what competitors are saying in your place. Acting on that intelligence — writing the content, publishing it, building citations — is left to you or your agency.
Who Should Use AISO (and Who Should Not)?
AISO fits agencies, freelancers, and brand strategists who want to understand real buyer intent in AI conversations. It does not fit teams that need multi-engine breadth, content execution, or transparent brand-tier pricing.
Use AISO if you are an agency or consultant building content strategies for clients and want to base those strategies on real user behavior rather than synthetic prompt results. At $20 per month, the agency plan is low enough to incorporate into almost any retainer. The fan-out analysis adds a layer of Google-ranking intelligence that most monitoring tools don't provide. If you manage multiple clients in adjacent categories, the competitor comparison reports can help you identify cross-client content patterns worth exploiting.
Use AISO if you are a B2C brand marketing team that wants to understand the language your customers actually use when researching your category inside ChatGPT. The conversation intelligence is most valuable for brands with enough search volume in AI that their category generates meaningful conversation data. Early-stage brands or niche B2B products may not generate enough data to make the insight layer actionable.
Skip AISO if you need coverage beyond ChatGPT, Gemini, and Claude. Perplexity is a growing discovery channel for many brands — particularly in consumer products, health, and finance — and AISO does not include it. Microsoft Copilot is the dominant AI engine in enterprise B2B contexts. If your buyers are in enterprise software or professional services, Copilot coverage matters and AISO doesn't provide it.
Skip AISO if you are a brand (not an agency) and need to evaluate the platform before signing an enterprise contract. The lack of transparent brand-tier pricing creates friction that most marketing teams will not want to navigate before proving value at a smaller scale. Peec and Otterly both offer self-serve plans with transparent pricing for brands that want to evaluate independently.
Skip AISO if you need a team to act on the insights. Like every monitoring and intelligence tool in this category, AISO shows you the problem. It does not fix it. If your team lacks the capacity to translate fan-out data into content briefs, publish articles, build citation-worthy sources, and manage the community signals that influence AI recommendations, the intelligence will sit unused.
How Does AISO Compare to Peec AI and Otterly and Cintra?
AISO's real-conversation data is a differentiated input. Peec and Otterly provide broader engine coverage through simulated prompts. Cintra delivers execution. The choice depends on whether you need insight, monitoring, or results.

| Feature | AISO ($20/mo agency) | Peec AI ($245/mo Pro) | Otterly ($189/mo Standard) | Cintra ($2K–$4K/mo) |
|---|---|---|---|---|
| Type | Conversation intelligence | Monitoring | Monitoring | Managed service |
| Data Source | Real user conversations | Simulated prompts | Simulated prompts | N/A |
| AI Engines | ChatGPT, Gemini, Claude | Multi-engine (10+) | Multi-engine | All major |
| Fan-Out Analysis | Yes | No | No | N/A |
| Content Generation | No | No | No | Full execution |
| Transparent Brand Pricing | No (custom) | Yes | Yes | Yes |
| Best For | Intent research, agencies | Monitoring breadth | Entry-level monitoring | Brands wanting results |
Peec AI's strength is multi-engine breadth. At the Pro tier ($245/month), you get 150 prompts across 10+ engines including Perplexity and Copilot, making it the right choice for teams that need complete engine coverage. Peec does not provide real conversation data, but it does provide competitive benchmarking across more surfaces. If your goal is monitoring, Peec covers more ground.
Otterly positions itself as the accessible entry point for monitoring, with transparent pricing starting at $29 per month. It covers multiple engines including Perplexity and ChatGPT, and has a URL audit feature that evaluates how well your existing content is set up for AI citation. Otterly does not have AISO's real-conversation data, but it is self-serve and visible before you commit.
AISO's distinct contribution is what you might call "pre-competitive intelligence" — surfacing emerging questions and intent patterns from real users before those patterns show up in your keyword tracking. For teams building long-term content strategy, that earlier signal is genuinely valuable. For teams needing tactical, day-to-day monitoring of brand mentions across all engines, the three-engine coverage is a bottleneck.
Cintra operates in a different category entirely. We write, publish, and build citations for brands rather than reporting on where they stand. You can read about what differentiates monitoring from execution in our breakdown of the best AI visibility tools and our guide to how to measure AI visibility. The two tool types are complements, not substitutes.
Learn more about the strategic framework behind AI presence building in our answer engine optimization guide.
Frequently Asked Questions About AISO
Is AISO Worth the Price for Growing Teams?
At $20 per month for agencies, AISO is worth testing for any team that builds content strategy for clients. The fan-out analysis alone provides insight that most AEO monitoring tools don't offer, and the price is low enough to validate before committing to a larger brand-tier contract.
For in-house brand teams, the value depends heavily on whether your category generates enough AI conversation volume to produce meaningful data insights. Brands with strong organic search presence in active consumer categories will get more from the dataset than niche or early-stage brands.
What AI Platforms Does AISO Monitor?
AISO tracks real conversations across ChatGPT, Gemini, and Claude. Notably absent are Perplexity, Microsoft Copilot, and Google AI Overviews — three engines that drive significant brand discovery in consumer and B2B contexts respectively.
This three-engine scope is AISO's most significant coverage limitation compared to platforms like Peec AI, which tracks 10+ engines, or Gauge, which covers six engines at the Growth tier.
How Does AISO Compare to Peec AI and Otterly?
AISO uses real user conversation data; Peec and Otterly use simulated prompts. AISO covers three engines; Peec and Otterly cover more. AISO offers fan-out analysis that neither competitor provides. Peec and Otterly have transparent brand-tier pricing that AISO lacks for its enterprise plan.
If you need to understand real buyer intent, AISO is the stronger tool. If you need comprehensive monitoring across all AI engines, Peec or Otterly will serve you better. Many teams will find value in running both for different purposes.
Does AISO Offer Content Generation Features?
No. AISO identifies where your brand is absent from AI conversations and surfaces the intent patterns driving those conversations, but it does not generate content to close those gaps. Executing on the intelligence — writing articles, publishing them, building citation-worthy source material — requires your team or an external agency.
This is the same limitation shared by Peec and Otterly. Only Gauge, at the Growth tier ($599/month), bundles content drafts with monitoring. Cintra handles full execution including writing, publishing, and citation building as a managed service.
Can AISO Replace an AEO Agency?
No. AISO is a research and intelligence tool that surfaces where you're invisible in AI conversations and why. Becoming visible requires creating and distributing content that AI engines trust and cite — a process that involves writing, publishing, link building, and community presence management.
An AEO agency handles execution. AISO improves the quality of the brief you hand that agency. If your team has the capacity to act on the intelligence, AISO and an agency can work together effectively. AISO alone, like any monitoring or intelligence tool, does not move the needle without execution behind it.
AISO Review: Final Verdict
AISO fills a real gap in the AEO tool market: real user conversation data in a category dominated by synthetic prompt monitoring. The fan-out analysis is genuinely differentiated — no other platform in this category surfaces the exact Google sub-queries that ChatGPT runs when constructing a citation, based on real user behavior.
The pricing model at $20 per month for agencies makes AISO one of the most accessible tools in the AEO stack for consultants and freelancers who need conversation intelligence without enterprise commitments. The free trial with no credit card required is a low-friction way to verify whether your category generates enough data to be useful.
The limitations are real. Three-engine coverage (ChatGPT, Gemini, Claude) misses Perplexity, Copilot, and AI Overviews — engines that matter meaningfully for many brands. The brand-tier pricing is opaque, which creates friction for in-house teams trying to evaluate independently. And like every tool in this category, AISO tells you what is broken rather than fixing it.
The fundamental question for any brand investing in AEO tools remains constant: do you need to understand the problem better, or do you need someone to solve it?
AISO is the clearest answer we have seen to the "understand it better" question. Start with your brand name in ChatGPT and Gemini. If you appear inconsistently or not at all, you know the problem exists. The question is whether you need sharper data on why — or a team to act.
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Sumanyu Sharma · CEO, Hamming.ai
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Russ Coulon · Owner, UV Blocker
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Ash Metry · Founder, Keywords.am
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