The 20 Best AI Visibility Tools in 2026: Platforms, APIs and a DIY Tracker

TL;DR: Most AI visibility tools promise the same thing. They differ in four practical ways: which AI engines they cover, how they collect answers (official APIs, the real chat interface, or a pre-built prompt database), how many prompts you get for the money, and whether you can get the raw data out through exports, Looker Studio or an API. Below are 20 options we checked on their own websites in October 2026: 5 SEO suites, 11 dedicated platforms, 3 free sources and 1 data API, plus a free Google Sheets tracker you can build yourself with Apps Script.

Prices are as listed on each vendor’s pricing page on October 12, 2026. Some pages show euros or dollars depending on where you view them from, and several vendors change plans often, so confirm before you buy. Nobody paid to be included.

If you are new to the topic, read how to track your brand in AI search first. It explains which prompts to track and why a single check means little.

The four groups do different jobs and are not substitutes: trackers run your prompts, indexes show answers collected in advance, the free sources report your own citations and visits, and data APIs give raw material for your own reports. Most teams combine one tracker with the free sources.

All-in-one SEO platforms with AI visibility tracking

Dedicated AI visibility platforms

Free tools and first-party data

Data APIs for your own tracker

If you have a short prompt list, or want full control of the raw data, you do not need a subscription. There are three ways to do it yourself, from simplest to most complete.

Option A: a Google Sheet with an Apps Script macro (official APIs)

The script below sends each prompt to OpenAI’s Responses API with the web search tool turned on, which is the setup OpenAI’s web search guide recommends. It records which of your tracked brands appear and which URLs are cited, then appends one row per answer to a Results sheet. Set a time-driven trigger (Triggers, then Add trigger, then weekly) to run it automatically.

// Google Sheets > Extensions > Apps Script. Store your key in
// Project Settings > Script properties as OPENAI_API_KEY (never in the sheet).
// Sheets needed: "Prompts" (A: id, B: prompt, C: type, D: branded yes/no),
// "Brands" (A: brand or alias, one per row, your brand first), "Results".
const MODEL = 'gpt-5.5';   // check OpenAI's docs for the current recommended model
const RUNS = 3;            // runs per prompt per session

function runPrompts() {
  const ss = SpreadsheetApp.getActive();
  const key = PropertiesService.getScriptProperties().getProperty('OPENAI_API_KEY');
  const prompts = ss.getSheetByName('Prompts').getDataRange().getValues().slice(1);
  const brands = ss.getSheetByName('Brands').getRange('A2:A').getValues().flat().filter(String);
  const out = ss.getSheetByName('Results');
  prompts.forEach(([id, prompt, type, branded]) => {
    for (let run = 1; run <= RUNS; run++) {
      const res = UrlFetchApp.fetch('https://api.openai.com/v1/responses', {
        method: 'post', contentType: 'application/json', muteHttpExceptions: true,
        headers: { Authorization: 'Bearer ' + key },
        payload: JSON.stringify({ model: MODEL, reasoning: { effort: 'low' },  // keeps each call well under 60 s
                                 tools: [{ type: 'web_search' }], input: prompt })
      });
      const data = JSON.parse(res.getContentText());
      const msg = (data.output || []).find(o => o.type === 'message');
      const block = msg ? msg.content.find(c => c.type === 'output_text') : null;
      const text = block ? block.text : '';
      const cited = block ? [...new Set((block.annotations || []).filter(a => a.type === 'url_citation').map(a => a.url))] : [];
      const found = brands.filter(b => text.toLowerCase().includes(String(b).toLowerCase()));
      out.appendRow([new Date(), 'ChatGPT API + web search', id, prompt, type, branded, run,
                     found.join(', '), cited.join(' '), text]);
    }
  });
}

Then add a Summary sheet with these formulas:

Things to know before you rely on it:

• Apps Script stops a run after 6 minutes. In our test, each call with low reasoning took 8 to 19 seconds, so one run handles roughly 15 to 25 answers. Split a longer prompt list into batches and schedule several triggers.
• The API is not the app. This measures what the model returns through the API with web search, not what a logged-in person sees in ChatGPT. Use it for trends, and spot check the real app by hand.
• Brand matching is simple text matching. Add every alias and common misspelling to the Brands sheet, and watch for brand names that are also ordinary words.
• Other engines work the same way. Google’s Gemini API supports a Google Search grounding tool and Perplexity has Search and Agent APIs that return sources. Request formats differ and change often, so copy them from the current docs.
• Cost: each answer is billed as normal model usage plus web search tool calls, at the provider’s current rates. Check the pricing page and set a monthly budget limit in your API account before scheduling anything.

Option B: interface data through a data API

To see answers as they appear in the chat interface without building a scraper, DataForSEO’s LLM Scraper API returns ChatGPT and Gemini answers as displayed, including detected brands and URLs, from about $0.0012 per result page in its standard queue. The SE Ranking API also includes AI Search data. Both work from Google Sheets (Apps Script), Python, or tools like Make, Zapier and n8n.

Option C: pull data out of a tool you already pay for

Many platforms above have an API or MCP server (Otterly.AI, Peec AI on Enterprise, Rankscale Pro+, LLMrefs, ZipTie, Promptwatch, Gumshoe) or a Looker Studio connector (Peec AI, Otterly.AI for agencies, Rankscale, Scrunch). Pull weekly numbers into the same sheet or dashboard as GA4’s AI Assistant channel and your CRM leads, so visibility and outcomes sit side by side.

Example: an agency tracking 12 clients for under $500 a month

Before comparing plans, check what the price is counted per: project, domain, client workspace or a shared prompt pool. That decides the real cost for an agency more than the headline price. Two ways to stay under budget, using numbers the vendors publish:

• Usage-based: ZipTie’s own preset for an agency with 10 clients and 50 weekly prompts each is $130.72 a month (monthly billing). Two more clients at the same volume keep it well under $500, and prompts are pooled across the workspace.
• Shared prompt pool: LLMrefs ($79 a month for 500 prompts, weekly reports) works out to about 40 prompts per client across 12 clients, with every engine included. Check that its project setup matches how you report to clients.
• DIY for the long tail: put smaller clients on the Google Sheets tracker above and reserve paid seats for clients who need dashboards.

Local service businesses

For roofers, HVAC companies and other local businesses, the questions include a city (“best roofer in Tulsa”), and answers change by location. Look for tools that let you set the country, state or city for each prompt (Promptwatch’s Business plan adds state and city tracking; Peec AI’s Advanced plan adds multiple countries; LLMrefs covers 50+ countries), and write prompts with the city and service in them. Then look at which sources the answers cite for your city prompts, and make sure your listings on those sites are complete and current.

Whatever you pick, run the same prompts in a free trial of two tools for a week before you commit. If two tools disagree sharply on the same prompts, ask both how they collect and sample answers. That conversation tells you more than the feature list.

The bottom line

For most teams the right setup is one paid tool that covers the engines your buyers use, the two free first-party sources (Bing’s AI Performance report and GA4’s AI Assistant channel), and a monthly manual check of the real apps. Choose on engines, collection method and data access rather than dashboard design, and judge every tool by whether it reports visibility rate across enough answers to trust. If you would rather not build and run this yourself, our AI SEO and GEO team sets up tracking and acts on what it finds.

Data Sources: each tool’s own pricing or product page, linked in the table and descriptions above, checked October 12, 2026; OpenAI web search documentation; SparkToro AI consistency study. Prices and plan limits change often; confirm on the vendor’s site.

Keep reading:

• How to Track Your Brand in AI Search: Prompts, Methods and Pitfalls
• ChatGPT Ads for B2B SaaS: How They Work and Where to Start
• AI SEO and GEO Services
• SEO Services

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