Best AI Visibility APIs in 2026: 7 AI Search Visibility APIs Compared

The best AI visibility API returns the live answer a buyer sees in ChatGPT or Gemini, from the buyer’s own country or city. It gives you the brands, their positions and the cited sources as raw data. NodeMaven LLM Visibility API does that from $0.005 per check, with no plan gate on API access.

Every AI visibility platform now says it has an API. In practice, many keep it behind an Enterprise contract, return only a score, or collect answers in a way that does not match what users see. We compared seven options on the things that decide whether you can build on them.

关键要点

• An AI visibility API sends your prompts to AI engines and returns the answers as data you can use in your own reports and tools.
• The biggest differences are location targeting, where the answer comes from (the real app or a raw model API) and which plan unlocks the API.
• NodeMaven is the only tool here with city-level targeting and pay-per-check pricing for every account.
• LLM Pulse has the deepest endpoint list. Profound, Peec AI and Semrush keep API access on higher or Enterprise plans.

What is an AI visibility API?

An AI visibility API is an API for AI search visibility. You send a prompt your buyers would ask, pick the AI engines and locations, and get back the answer plus structured data about it. That data usually covers which brands were named, in what order, and which sources the engine cited.

It is not the same as an LLM API. An LLM API, like the OpenAI or Gemini API, lets you build apps on top of a model. An AI visibility API tells you how those models talk about your brand.

Teams use an AI visibility API for three jobs. They pull AI search data into existing dashboards and reports. They automate AI search visibility tracking on a schedule. And they feed AI agents with live answer data instead of stale exports. If you are new to the metrics, start with our guide on how to track brand mentions in AI search.

How we compared the APIs

• Engines covered. ChatGPT and Gemini at minimum. Perplexity, Google AI Mode and AI Overviews are a bonus.
• 位置定位. Can you run the same prompt as a buyer in the US, Germany or a specific city?
• Answer source. Does the tool capture the answer users see in the app, or a raw model API response?
• Data returned. Full answer text, brand positions and cited URLs, not only a visibility score.
• API 访问. Which plan includes it, and whether you need a sales call.
• 成本. Entry price and, where possible, cost per check.

AI visibility APIs compared: overview

The 7 best AI visibility APIs

1.     NodeMaven LLM Visibility API: best for localized answers and pay-per-check pricing

NodeMaven LLM Visibility API, also called Geo LLM API, checks how ChatGPT and Gemini answer a prompt in a specific country, region or city. Each prompt runs through NodeMaven proxies in the location you pick. It goes out as a clean request with no chat history, so past conversations do not shape the answer.

Every answer comes back with the brands it named, their positions and the sources the engine cited. Answers are never cached. You see what the model tells buyers in that market at that moment. Read the result in the dashboard, or download it as JSON or TXT.

The dashboard needs no code. You pick the engines, choose an analysis type (Niche Monitoring, Solution Selection, Competitor Comparison or Free Analysis) and edit the preset prompts. If you work in Claude or Cursor, the NodeMaven MCP Server connects them to your account.

• Engines: ChatGPT and Gemini. Perplexity is coming soon.
• Locations: country, region and city. Up to 3 per dashboard check, 10 per API request.
• Data: full answer, brands, positions, cited sources. JSON and TXT export.
• 价格： 1 credit per prompt, engine and location. $0.005 per check on Starter plan, $0.0045 on Growth plan. 1,000 credits cost $4.99.
• Free option: 2 free credits on sign-up.
• 优点： city-level targeting, fresh answers every run, no seat or plan fees, API for every paying account, clear cost before each run.
• 缺点： two engines today. The API unlocks after your first credit pack.

What it costs in practice. Let’s imagine you track 50 prompts on ChatGPT and Gemini in 3 countries. That is 300 credits per run. A $4.99 pack covers 3 weekly runs. For setup steps and a ready Python script, see our brand mention tracking guide 以及 API docs.

2.     LLM Pulse: best for API depth

LLM Pulse is an AI visibility platform with one of the largest public APIs in the category. Its OpenAPI spec lists 93 paths, with endpoints for answer text, individual cited URLs, query fan-out and Search Console data. It also offers signed webhooks, CSV output on table endpoints, 12 SDKs and an MCP server.

The catch is the plan. API access, the Looker Studio connector and the CLI start on the Scale plan at €299 per month. The €49 Starter plan includes five engines but no API. LLM Pulse also runs weekly checks by default, not daily ones.

• 优点： deep data, webhooks instead of polling, SDKs for most languages, five engines on every plan
• 缺点： API from €299/mo. Fixed prompt plans instead of pay per check. City-level targeting is not documented

3.     Profound: best for large enterprise programs

Profound covers the widest set of AI surfaces on paper. That includes agents, shopping data and YouTube, plus up to 10 answer engines. It offers API docs and SDKs for Python and TypeScript.

In mid-September Profound removed its $99 and $399 self-serve plans. Brands now choose between a limited free trial and a custom Enterprise plan through sales. API access sits on Enterprise. LLM Pulse reports a documented rate limit of 600 requests per hour per key.

• 优点： broad engine and surface coverage, SSO and SOC 2, dedicated support
• 缺点： no self-serve paid plan, no public price, API only through an Enterprise contract

4.     Semrush AI Visibility Toolkit: best if you already live in Semrush

The Semrush AI Visibility Toolkit tracks mentions, citations and share of voice across four AI engines. It costs $99 per month per domain on its own. It is also included for one domain in Semrush One plans.

The Semrush AI visibility API story is less clear. API data integration and MCP access come with Semrush One Advanced at $549 per month. Independent reviewers note that Semrush does not document a dedicated public API for AI Visibility Toolkit data.

• 优点： AI data next to keyword, backlink and rank data. Familiar interface for SEO teams
• 缺点： per-domain pricing, $99 per extra user for AI toolkit access, API only on the top plan

5.     SE Ranking AI Visibility API: best for SEO and GEO data in one API

The SE Ranking AI Visibility API covers ChatGPT, Gemini, Perplexity, Google AI Mode and AI Overviews. It has two layers that work in different ways.

API access is included in every SE Ranking plan. The Core plan costs $129 per month, or $103.20 billed annually. It includes 25,000 API credits, MCP access and 25 prompts tracked daily across 5 AI engines.

• 优点： five engines on every plan, competitor research without setting up projects
• 缺点： only 25 tracked prompts on the base plans

6.     Peec AI: best for agencies with many client projects

Peec AI is an AI search analytics tool with daily runs, unlimited seats and pitch workspaces for agencies. It offers CSV exports, a Looker Studio connector and an MCP integration.

The API is gated and is not available on Starter. Brand customers get it on Pro and Advanced only with yearly billing, or on Enterprise. Agency plans include it. Starter costs $95 per month and covers three models, with extra models as paid add-ons.

• 优点： daily tracking, agency workflows, clean reporting
• 缺点： API needs an annual commitment or an agency plan. Extra engines cost more

7.     Otterly.AI: best for small budgets

Otterly.AI is a simple AI search monitoring tool that starts at $29 per month for 15 prompts. It tracks ChatGPT, Perplexity and Google AI Overviews, with Gemini and AI Mode as add-ons. Its OpenAPI spec is small but well documented.

API and MCP access from the Standard plan at $189 per month, which covers 100 prompts and comes with a small but well-documented OpenAPI spec you can use to pull responses and citation history into your own reports.

• 优点： low entry price, unlimited team members, easy start.
• 缺点： small prompt counts on lower plans, API plan unclear, extra engines cost extra.

Build it yourself: model APIs plus proxies

Some teams want full control and build their own ChatGPT scraper API. You can, but two problems show up fast. Raw model APIs often name different brands than the chat app. And your requests must come from the buyer’s country, or you only see what a user in your own office sees.

If you go this way, run real browser sessions through 住宅代理 with city targeting. You will also maintain parsers every time the chat UI changes. For most teams, an API that already parses brands and sources is cheaper than the engineering hours.

GUI scraping vs API: why the answer source matters

AI visibility tools collect answers in two ways. Some call the raw model API. Others load the chat app in a browser, the way a real user does, and read the rendered answer. Vendors on each side argue their method is more reliable.

The deciding question is simple. Does the data match what buyers see? One independent study found that API and app answers shared only 6% to 12% of the brands they named. A tool that only queries the raw API can report that you are visible while buyers in the app never see your name.

Location makes the gap wider. ChatGPT and Gemini pick web sources that fit the user’s location when they search. A UI-only check from your office shows your own market. An API that renders the answer in a real Chrome session from the buyer’s city shows theirs. That is the approach NodeMaven takes.

When you compare AI search visibility tracking tools with an API, ask each vendor three things:

• Is the answer captured from the app users see, or from a raw model API?
• Can I choose the country and city for each prompt?
• Are answers fresh on every run, or served from a cache?

How to choose an AI visibility API

Start from the job, not the feature list.

• You report AI visibility for several countries or cities. Pick NodeMaven. Location targeting down to the city is built into every check.
• You need webhooks, SDKs and a deep data model for a warehouse. LLM Pulse on the Scale plan is the strongest fit.
• You run an enterprise program with procurement and SSO. Profound or Semrush Enterprise, if the budget allows.
• You want AI search data next to classic SEO data in one API. SE Ranking.
• You are an agency with many small clients. Peec AI agency plans, or NodeMaven if you bill clients per check.
• You build AI agents that need live answer data. NodeMaven, through the API, the agent prompt or the MCP Server. For the network side of agent work, see proxies for AI agents.

Before you commit to any tool, check four things. Find which plan includes API access. Look for the documented rate limit. Confirm you can reach answer text and cited URLs, not only a score. And ask for a sample export of 10 prompts across two engines.

Tracking AI answers is one part of your search data. If you also monitor classic results, our list of the best Google search scrapers and SERP APIs covers that side, including NodeMaven’s free Google Search Scraper.

常见问题