A factual feature matrix comparing Jasno, Semrush, Profound and Peec AI across engines tracked, measurement methodology, content recommendations, reporting, and team workflows.
AI search visibility platforms help organisations understand how they are represented, recommended, and cited in AI-generated search experiences. When a buyer types a question into ChatGPT, Perplexity, or Google AI Overviews, the answer they receive is generated from training data and retrieval pipelines, not a ranked list of blue links. Which brands get named, which pages get cited, and how prominently a company is described are all tracked separately from traditional SEO rankings.
This comparison covers four dedicated platforms: Jasno, Semrush, Profound, and Peec AI. The scope is limited to AI search visibility capabilities. Semrush is a broad SEO platform with AI visibility features; the other three are purpose-built for AI search. Capabilities, plans, and engine coverage change frequently. Treat this matrix as a starting framework and verify current features with each provider.
Buying criteria
All AI search visibility platforms offer slight nuances to their package so knowing what to look for when comparing can be challenging. Having a set of common features and requirements to focus on is essential.
Engine and surface coverage
Which platforms are tracked: ChatGPT, Perplexity, Google AI Overviews, others? Engine coverage varies significantly between tools and between pricing tiers.
Prompt and topic methodology
How are prompts defined and managed? Can you group them by topic? Does the platform generate suggested prompts, or must you supply all of them manually?
Collection method and frequency
How often are prompts run against AI engines? Daily automated runs produce trend data; weekly or on-demand runs may miss short-lived changes in brand representation.
Citation and source analysis
Does the platform identify which URLs are cited in AI answers? Does it distinguish between your owned pages, third-party sites, and competitor sources?
Competitor benchmarking
Can you track competitor brands across the same prompt set and compare share of voice? Is the competitor list open-ended or capped by plan?
Content recommendations
Does the platform translate visibility findings into actionable content changes? Or does it stop at measurement, leaving the optimisation work to you?
Reporting, exports, and collaboration
What reporting formats are available? Can teams share projects, assign tasks, and export data to other tools?
Geography and language controls
Can you target specific markets, languages, or regions? AI responses can vary significantly by locale.
A platform's collection method, sampling approach, and refresh frequency can affect results significantly and should be verified alongside the feature list. AI responses vary by prompt phrasing, user context, model version, and location, so visibility scores reflect a defined measurement sample rather than a universal ranking.
Platform matrix
| Feature | Jasno | Semrush | Profound | Peec AI |
|---|---|---|---|---|
| Engine coverage | ||||
| ChatGPT tracking | ||||
| Perplexity tracking | ||||
| Google AI Overviews tracking | ||||
| Tracking and measurement | ||||
| Prompt and topic monitoring | ||||
| Brand mentions and recommendations | ||||
| Citation and source analysis | ||||
| Competitor benchmarking | ||||
| Historical visibility trends | ||||
| Recommendations and workflow | ||||
| Content recommendations and action plans | ||||
| Reporting and exports | ||||
| Team collaboration | ||||
| Configuration and integrations | ||||
| Integrations (GSC, GA4, etc.) | ||||
| Geography and language controls | ||||
| Refresh and monitoring cadence | ||||
Source: official product pages, feature documentation, and help centres published by each vendor as of August 2026. Labels reflect publicly documented capabilities on standard commercial plans. Enterprise-only or beta features are not included. Where a capability could not be confirmed or denied from official sources, the label used is "Not publicly documented". The absence of documentation does not confirm the absence of the feature.
Methodology
Research date
AI search platforms change their feature sets frequently. Engine coverage, pricing, and capabilities may have changed since this page was published.
Sources consulted
Official product pages, feature documentation, and help centres for each platform. No features were inferred from sales materials, third-party reviews, or unverified claims.
Plans reviewed
Standard commercial plans available to marketing and SEO teams. Enterprise-only features, private beta capabilities, and add-on modules are not reflected in the matrix.
Limits of AI visibility measurement
AI responses vary by prompt phrasing, user context, location, model updates, and sampling approach. Platform results are directional measurements across a defined prompt set, not a universal ranking of brand visibility across all possible searches.
Guidance
The right platform depends on what your team needs to measure and what you plan to do with the data. No single tool is the best fit for every organisation.
If you need cross-engine monitoring with daily runs
Look for a platform that documents confirmed coverage of ChatGPT, Perplexity, and Google AI Overviews, and that schedules automated runs rather than relying on manual triggers. Jasno and Profound both document daily automated monitoring across multiple engines.
If your team is already inside Semrush
Semrush's AI Overviews Tracker is well-integrated with its broader SEO suite and is the natural first step for teams that already use Semrush for keyword, backlink, and content work. Its LLM-specific tracking beyond Google AI Overviews is more limited than the dedicated platforms. However, using one platform for both SEO and AI search visibility may not always work out to be the most cost effective option.
If prompt-level evidence and citation depth matter
Platforms that capture the full AI response, log individual citation URLs, and archive responses per-run enable more rigorous analysis of what drives brand mentions. Look for response archiving and citation-level source tracking in the feature documentation.
If you need content recommendations alongside visibility data
Measurement alone does not improve AI visibility. Look for a platform that translates prompt-level findings into prioritised content actions. Jasno's Content Hub generates content recommendations and action plans directly from each analysis run, connecting visibility gaps to specific content work.
If competitor tracking and share of voice are the priority
All four platforms document some form of competitor benchmarking. The depth varies, so check whether competitor tracking is available on the plan tier you are evaluating, and whether it operates across the same prompt set as your brand monitoring.
If collaboration and recurring team reporting matter
For agencies and in-house teams that need to share visibility data, assign content tasks, and produce regular reports, look for platforms with documented team roles, project sharing, and export or scheduling capabilities.
Pricing considerations
Free trials are a good way to ‘try before you buy’ offering you the chance to see what the platform offers before you commit. Additionally, having flexible pricing tiers can give more control over personal usage requirements.
Jasno: visibility insights connected to action
Jasno is built for marketing and SEO teams that want to track how their brand appears across ChatGPT, Perplexity, and Google AI Overviews, turning what they find into a prioritised list of content improvements. It monitors visibility, benchmarks competitors, maps citation sources, and generates content recommendations inside a single workflow, with daily automated runs and team collaboration built in.
Common questions
An AI search visibility platform tracks how a brand is mentioned, recommended, or cited in responses generated by AI-powered search engines such as ChatGPT, Perplexity, and Google AI Overviews. Unlike traditional rank trackers that report a URL's position in a list of blue links, AI visibility platforms capture whether a brand appears in generated prose, how prominently it is described, which pages are cited as sources, and how that picture compares to competitors across the same set of prompts.
The most commercially significant engines at the time of this comparison are ChatGPT, Perplexity, and Google AI Overviews. Each engine has a different user base, citation behaviour, and response format, so coverage of all three gives a more complete picture than monitoring just one. Engine coverage changes as platforms grow, so verify the current list with each provider before purchasing.
No. A high traditional search ranking does not guarantee visibility in AI-generated answers, and a brand can appear prominently in AI answers without ranking in the top ten blue-link results. AI engines synthesise responses from multiple sources and cite specific pages rather than listing ranked URLs, so the two metrics measure fundamentally different things and should be monitored separately.
AI responses are not static. A brand's visibility can shift with each AI model update, change in the content landscape, or shift in competitor activity. Daily or weekly automated monitoring is necessary, rather than relying on a one-off audit, to detect trends, identify when a competitor gains ground, and measure the impact of content changes over time.
AI visibility scores are directional metrics, not absolute rankings. AI responses vary by prompt phrasing, user context, location, model version, and sampling approach, so a score reflects the pattern across a defined set of tracked prompts rather than a universal measurement of brand presence across all possible searches. All four platforms in this comparison use different methodologies; ask each vendor how their score is calculated and what it includes.
Ask for a live demonstration using your own brand and prompts, not a pre-configured demo account. Request the list of engines currently tracked, the plan tier required for each feature shown, the monitoring cadence and how refresh frequency is defined, whether citation analysis covers individual source URLs or aggregate counts, and a sample export or report so you can assess reporting quality before committing.
Related Jasno resources
AI search visibility tracking
Jasno's core tracking workflow in detail.
AI visibility performance tracking
Monitor trends and measure changes over time.
Content optimisation for AI search
Turn visibility findings into practical recommendations.
Monitor competitors in AI search
Competitor benchmarking and share of visibility.
Monitor how your brand appears across ChatGPT, Perplexity and Google AI Overviews. Identify gaps in mentions and citations, and prioritise content actions, all from one platform.