Compare AI visibility tools
How NextNet AI compares.
Every tool here can tell you whether AI mentions a brand. The difference is what comes next: the breakdown that explains why AI picks a competitor, what to fix first, and whether it works across every client you manage.
Watch the platform walkthrough| Feature | NextNet AI | Profound | Peec AI | Promptwatch | Otterly.AI | Semrush AI | HubSpot AEO |
|---|---|---|---|---|---|---|---|
| Why AI picks a competitor | |||||||
| Buyer journey stage mapping | |||||||
| Segments by customer type and place | |||||||
| Results by question intent | |||||||
| Claims AI makes about the brand | |||||||
| Sentiment by AI engine | |||||||
| Sources AI cites, classified | |||||||
| What to do next | |||||||
| Auto-setup from a domain | |||||||
| Content audit of the site | |||||||
| AI advisor on your own data | |||||||
| Writes content for you | |||||||
| Built for agencies | |||||||
| White-label client reports | |||||||
| Every client in one agency view | |||||||
| API access | |||||||
| MCP connection for AI tools | |||||||
Checked against each company's website, pricing and documentation, October 2026. Features change often; if something here has changed, tell us and we'll update it.
Where we're different
A breakdown by customer, a clear next step, and your brand on every report.
Every customer type, for every client
Each client gets a Core campaign plus Market Intelligence campaigns covering customer types, locations and products, on four AI engines. You see who AI recommends to which buyers, not just one overall score.
White label as standard
Every client report goes out under your brand, on every partner account. Not an add-on, not a separate agency plan, not a dashboard template you rebuild yourself.
Ends in a to-do
One list of fixes, ranked by severity, each with the evidence behind it. Your team does the work, or ours does it under your brand.
How the others stack up
NextNet AI vs. Profound
Deep analytics for large brands: personas, a fact-check on AI claims, an AI marketer and content agents. API and MCP access are on its Enterprise plan, and client reports aren't white-labeled.
NextNet AI vs. Peec AI
Strong source classification, fact-checking and an AI agent, with MCP on every paid plan. No native white-label reports; agencies brand a Looker Studio template instead.
NextNet AI vs. Promptwatch
The broadest feature set of the group, including content agents and API and MCP access on every plan. White-label dashboards and unlimited client projects are on separate Agency plans.
NextNet AI vs. Otterly.AI
Quick to start, with country tracking, source categories, page audits, API and MCP. No content writing or native white label, and analysis beyond sources is mostly partial.
NextNet AI vs. Semrush AI
Part of a large SEO suite, with wide location coverage and sentiment by platform. Personas, content writing and API access to AI visibility data sit in Enterprise AIO; white label is a paid add-on.
NextNet AI vs. HubSpot AEO
Built into Marketing Hub, with buyer journey tagging, source channels and an MCP server. One domain per setup, no white-label reports and no multi-client agency view.
Checked against each company’s website, pricing and documentation, October 2026. Features change often; if something here has changed, tell us and we’ll update it.
Buying guide
Seven questions to ask any AI visibility tool.
Use these on every demo, including ours.
- Does it explain why AI picks a competitor, or only that it does?
- Are the features you need on your plan, or only on an enterprise contract?
- Can every client report go out under your brand?
- Can you see every client in one place?
- Can you get the data out through an API or MCP?
- Does it show which signals AI used to pick a competitor, like the sources it cited and the claims it made?
- Does it tell you what to fix first, and who can do the work?
Get recommended, not just mentioned.
See who AI recommends to each of your customers, and the first fixes to make.