AI assistants like ChatGPT, Perplexity, and Google AI Overviews are now a normal part of how people research products. That has created a new marketing discipline: AI visibility, also called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO).
The basic question is simple:
When someone asks an AI assistant about your category, does your brand appear and how does the AI describe it?
Semrush was one of the first major SEO platforms to address this with its AI Visibility Toolkit, launched in September 2025. It offers prompt tracking, a 0–100 visibility score, and competitor benchmarking alongside Semrush’s existing SEO tools.
However, its pricing can increase quickly. The entry plan costs around $99/month and covers one domain and 25 prompts, with additional domains, users, and prompts costing extra. Its reporting also largely extends traditional keyword-based SEO concepts into AI visibility.
Because of this, many marketing teams are testing alternatives. Here are five worth considering, each with a different approach.
1. Branviz
Best for: Detailed AI visibility diagnostics
Branviz, developed by Neo Proxima, is designed for enterprises that want more than a single visibility score.
Instead of reducing performance to one number, Branviz breaks AI visibility into eight different dimensions. These include:
- How frequently a brand is recommended
- Performance across different stages of the buying journey
- Position relative to competitors in AI-generated answers
- Overall brand presence across AI platforms
One of its most useful features is its technical AI-readiness audit. It checks approximately ten signals that AI crawlers may use when deciding whether content is suitable for citation.
This is valuable because it goes beyond telling you that your brand is not visible. It can help explain why your content may not be getting cited.
Branviz tracks major AI platforms including:
- ChatGPT
- Gemini
- Perplexity
- Grok
- Google AI Overviews
It also offers a free audit, making it relatively easy to compare its findings with Semrush before paying for a subscription.
Best choice if: you want detailed diagnostics and technical recommendations rather than just a visibility score.
2. Polyvalent
Best for: AI visibility plus content and PR execution
Polyvalent takes a different approach by combining a GEO platform with actual optimization services.
Alongside its software, the company offers services such as:
- Digital PR
- Community seeding
- Reddit campaigns
- Content optimization
The idea is that improving AI visibility isn’t just about optimizing your own website. AI systems also rely heavily on third-party sources and online discussions, so building external evidence around a brand can matter too.
Its platform provides a GEO Readiness score and uses a proprietary tracking system called Poly-Pulse. One of its key metrics is “share of model,” which is essentially an AI-era version of share of voice.
Polyvalent also offers a content digestibility audit that examines things such as structured data and semantic clarity to determine whether pages are easy for AI systems to understand and cite.
The platform covers major models including:
- ChatGPT
- Gemini
- Claude
- Perplexity
- Copilot
The company has a strong focus on Indian and broader Asia-Pacific brands.
Best choice if: you want AI visibility tracking combined with an actual content, PR, and community-building strategy.
3. LLM Pulse
Best for: Agencies and technical teams
LLM Pulse was built specifically for AI visibility rather than being added to an existing SEO platform.
It tracks five AI systems as standard:
- ChatGPT
- Perplexity
- Gemini
- Google AI Mode
- Google AI Overviews
Additional platforms, including Claude, Copilot, Grok, DeepSeek, and Amazon’s shopping assistant, are available as paid add-ons.
Its standout feature is Agent Analytics.
Instead of relying only on prompts and AI-generated answers, Agent Analytics examines a site’s own server or CDN logs. It can work with sources such as Cloudflare, Bunny CDN, or an S3 log bucket.
This allows teams to see:
- Which AI crawlers are visiting
- How frequently they visit
- Which pages they access
- Where crawlers encounter problems
For example, you can identify activity from crawlers such as GPTBot, ClaudeBot, or PerplexityBot.
LLM Pulse also provides:
- White-label portals
- Embeddable dashboards
- Unlimited seats
- API access
These features make it particularly attractive to agencies managing multiple clients.
It also provides a free, no-signup visibility report, so you can establish a baseline before paying.
Best choice if: you need technical crawler data, agency features, or API access.
4. BrightEdge
Best for: Enterprise SEO and revenue attribution
BrightEdge has been an enterprise SEO platform since 2007. Rather than creating a completely separate AI visibility product, it has gradually incorporated AI capabilities into its existing SEO infrastructure.
Its AI development has included:
- Generative-answer analysis in 2023
- Perplexity research in 2024
- AI Overview tracking through Data Cube X
- The AI Catalyst product line in 2025
- AI Hyper Cube, launched in March 2026
AI Hyper Cube tracks brand visibility across platforms including:
- ChatGPT
- Gemini
- Perplexity
- Google AI Overviews
BrightEdge also offers AI Agent Insights, which focuses on AI crawlers and agents visiting websites and identifying potential technical problems.
The biggest differentiator is its focus on business impact and revenue attribution.
Rather than asking only:
“How visible is my brand?”
BrightEdge aims to help answer:
“Is AI visibility generating traffic, leads, and pipeline?”
That can be especially valuable for large organizations already using BrightEdge for technical SEO and content operations.
Best choice if: you’re an enterprise already using BrightEdge and want AI visibility integrated with existing SEO and revenue reporting.
5. HubSpot
Best for: HubSpot users and quick baseline testing
HubSpot entered the AI visibility space through its 2026 acquisition of XFunnel.
It now offers two relevant products.
AEO Grader
The AEO Grader is a free, one-time diagnostic.
You enter a brand name, and it runs preset prompts against:
- ChatGPT
- Gemini
- Perplexity
It produces a score out of 100 based on five categories:
- Sentiment
- Presence quality
- Brand recognition
- Share of voice
- Market competition
It’s useful for getting a quick baseline without setting up a full tracking system.
HubSpot AEO
For ongoing monitoring, HubSpot launched AEO in beta in April 2026.
It tracks things such as:
- Brand mentions
- Citations
- Sentiment
- Share of voice
The main advantage is integration with HubSpot’s existing CRM and marketing data.
That creates an opportunity to connect AI visibility with things like contacts, campaigns, and pipeline, rather than treating AI visibility as an isolated SEO metric.
The downside is platform coverage. HubSpot currently tracks fewer AI platforms than dedicated tools such as Branviz or LLM Pulse.
Best choice if: your marketing team already lives in HubSpot and wants AI visibility connected to CRM data.
Quick Comparison
| Platform | Best For | Key Differentiator |
| Branviz | Technical diagnostics | AI crawler-readiness audit |
| Polyvalent | Visibility + execution | GEO software combined with PR/community services |
| LLM Pulse | Agencies & technical teams | AI crawler and agent analytics |
| BrightEdge | Enterprise SEO | Revenue and pipeline attribution |
| HubSpot | HubSpot customers | AI visibility connected to CRM data |
How to Actually Test These Tools
Because AI visibility is still a relatively new category, don’t assume that the headline visibility scores are directly comparable.
Different platforms use different methodologies, prompts, models, and scoring systems. Two tools can therefore produce different visibility scores for the exact same brand.
A better testing approach is to compare the underlying evidence.
Step 1: Choose a common set of prompts
Create a small list of questions your customers might realistically ask an AI assistant.
For example:
- “What are the best tools for [category]?”
- “What are alternatives to [competitor]?”
- “Which [category] platforms are best for small businesses?”
- “What should I look for when choosing [product type]?”
Step 2: Run the same prompts across tools
Test the same prompts in Semrush and two or three alternatives.
Don’t focus only on the score.
Look at:
- Which brands appear
- How often your brand appears
- Where your brand ranks
- How the AI describes your company
- Which competitors appear
- Which websites are cited
- Which sources influence the answer
Step 3: Identify your actual bottleneck
The right tool depends on what you’re trying to solve.
Need technical answers?
Try Branviz or LLM Pulse.
Need visibility plus PR and content execution?
Look at Polyvalent.
Already using BrightEdge?
Its AI attribution capabilities may make it the easiest choice.
Already using HubSpot?
Keeping AI visibility data alongside your CRM may be more valuable than having broader model coverage.
Working with a limited budget?
Start with the free options before buying anything.
Which One Should You Test First?
There’s no universal winner because these platforms are solving slightly different problems.
- Branviz: Best for understanding why your site isn’t being cited.
- Polyvalent: Best if you want tracking plus an execution strategy.
- LLM Pulse: Best for technical teams and agencies.
- BrightEdge: Best for large enterprises focused on revenue attribution.
- HubSpot: Best for companies already invested in the HubSpot ecosystem.
- Semrush: Still a strong option if your team already relies heavily on Semrush for traditional SEO.
The most useful approach is therefore not to ask “Which tool has the highest visibility score?”
Instead, ask:
“Which tool gives us the most actionable evidence about how AI systems discover, describe, and recommend our brand?”
That’s the metric that is likely to matter most when you’re actually trying to improve AI visibility.
One Important Caveat
AI visibility is one of the fastest-changing areas of marketing technology. Pricing, model coverage, scoring methodologies, and product features can change quickly.
So treat the details above as a starting point for a vendor comparison, not a final purchasing decision. Before committing to a platform, confirm its current pricing, supported models, prompt limits, and available features directly with the vendor.