Best AI visibility platforms (2026): enterprise to self-serve

The best AI visibility tool is the one that measures the engines and markets your buyers use, shows how certain each number is, and fits how your team works. Start with the work you want to do:

• See where AI recommends your business: compare your visibility across engines and markets in Glossy Data.
• Find useful content ideas: read the cited pages and questions where competitors appear.
• Give your team clear next steps: turn findings into briefs, then track the questions again after making changes.
• Report to clients: use eligible agency plans for branded reports and client workspaces.
• Compare your options: use the sourced tables below to check coverage, pricing and requirements.

We compared tools on what their own websites say, checked on 18 October 2026, against eight criteria that matter to buyers. We did not run a head-to-head accuracy test, and we did not use review-site scores, which we could not verify consistently.

1. Engines included in the base price, and which cost extra.
2. Countries and languages available on the entry plan.
3. What the entry plan buys: prompts, check frequency and the resulting number of answers.
4. Honesty of the numbers: whether sample sizes, ranges or variation are shown.
5. Sources: whether you can see which sites engines cite.
6. Actionability: whether the tool says what to fix and re-checks it.
7. Team and agency fit: seats, client workspaces, white-label reports and API.
8. Self-serve access: whether you can buy without a sales call.

One caveat applies to every tool, including ours: Google says no third-party tool has access to its internal ranking or AI systems.^[16] Every vendor is observing answers from the outside, so the quality of the sampling matters more than the dashboard.

The table lists engines included in the base plan and the lowest listed paid entry point in US dollars per month. "Add-ons" means the vendor sells further engines at extra cost. Where we could not confirm a figure, we describe it instead.

Enterprise platforms sold through a demo

These vendors don't publish a self-serve price list, so the column that matters most is how you buy.

Glossy Data sells every plan, Enterprise included, at prices on its pricing page, with no demo needed. For side-by-side detail on the most common choices, see our comparison pages.

Glossy Data gives your team a clear path from a buyer question to the AI answer, the sources it cites and the changes you could make. Compare markets, investigate competitors and share your findings from one workspace.

What you can do

• ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity and Claude on every paid plan, with no engine add-ons.
• 49 countries, with native-language question packs in 7 languages (English, German, French, Spanish, Portuguese, Dutch and Italian); other markets are asked in English and labelled.
• Every number carries its sample size and a 90% range, and changes inside normal variation are marked "within noise". See our methodology.
• Competitor share of voice, a Source Map of the sites engines cite, and fixes you can re-check on Sources and fixes.
• A local mode with city questions and local directories, plus multi-market projects.

Current availability

• Microsoft Copilot is coming soon. Current coverage is listed on our engines page.
• No GA4 connector and map/geo-grid view yet.
• Scheduled tracking. Repeated questions help show how answers vary over time. Check your plan for its tracking schedule.
• Engine availability varies. See the engines page for current coverage and collection methods.

Convert every plan into answers per month. Headline prices hide very different volumes, because vendors meter by prompts, engines, countries, frequency or credits.

1. Multiply it out. Prompts × engines × countries × runs per month = answers. Peec describes its agency credits this way: one prompt on one model for one day is one credit.^[4]
2. Add the add-ons you actually need. If Claude or Gemini matters to your buyers, price it in.
3. Count seats and workspaces. Per-user or per-domain fees change the picture for agencies and larger teams.
4. Check what a credit means. A Local Falcon credit is one map pin,^[14] which is not comparable to a credit that buys one AI answer.
5. Check annual terms, trial limits and whether unused credits expire.

Worked example using the listed entry plans: 15 prompts on 4 engines checked daily is about 1,800 answers a month; 50 prompts on 3 models checked daily is about 4,500. More answers usually means tighter estimates, but only if the tool pools them sensibly and shows you the uncertainty.

Ask every vendor these questions, including us. Good tools answer them in their documentation without a sales call.

• How many answers sit behind each number, and do you show a range or margin of error?
• How do you tell a real change from normal variation between runs?
• Do you separate branded questions (that name us) from unbranded ones?
• Which engines are included, and are they measured from the consumer app or a developer API?
• Which countries and languages can I measure on my plan, and are questions written natively?
• Can I see the full answer text and the sources each engine cited?
• Do you suggest fixes, and do you re-measure after I make them?
• What does it cost for my real setup: my prompts, engines, markets, seats and clients?
• Can I export my prompts and history if I leave?

If you run an agency, also check client workspaces and reporting; our agency page explains how Glossy Data handles multiple clients today.