The best AI visibility tools for data export in 2026: CSV, MCP and API compared

Updated November 2026. Competitor facts come from each vendor's pricing and documentation pages, checked on 2 November 2026.

An AI visibility dashboard tells you how often ChatGPT, Google's AI answers and Perplexity name your brand. The trouble starts when your boss wants those numbers in the monthly deck, your analyst wants them in Looker Studio and your strategist wants to ask follow-up questions in Claude. A chart you can only look at in one app runs out of road fast.

This guide compares AI visibility tools for data export on the three routes your data can take: a CSV file, an MCP server your AI assistant can query and a REST API for scheduled pipelines. If you are shopping for an AI visibility API, each tool's section says which plan unlocks it and what it reads. For each tool we also say what the file holds, how many seats you get and how long the answers are kept.

One note on scope. Some trackers are built API-first for engineering teams, and this list leaves them out. If a warehouse pipeline is your only need, look for a tool that publishes its API docs and request limits.

Short answer: the best AI visibility tools for data export

• Best overall for teams working from an AI assistant, a sheet or a script: Firemark (tryfiremark.com). CSV, MCP and a read-only REST API on every plan from $29, with unlimited seats and 13 months of full answers.
• Best for API and MCP with a Looker Studio connector: Otterly.AI, with API and MCP from its $189 Standard plan.
• Best for MCP with large prompt sets: Scrunch, with MCP on any plan and 350 prompts from $300 a month.
• Best for CSV plus wide model coverage: AthenaHQ, with CSV export on its $295 Starter plan.
• Best for enterprise data programs: Profound, with CSV, JSON, an API and all-time history on Enterprise.

CSV, MCP or API: which data route you need

Before you compare tools, decide where the data has to end up. The three routes suit different jobs.

CSV export

A CSV is the simplest route. You download a file of counts and drop it into Google Sheets, Excel or a BI tool such as Looker Studio. It suits monthly reporting, client decks and anyone who wants to build their own charts.

Check what the file holds before you buy. Some exports carry summary counts only. Others add engines, competitors and cited sources. Full answer text is rarer, and some tools keep it in the app.

MCP server

MCP (Model Context Protocol) lets an AI assistant such as Claude or ChatGPT read your tracking results directly. You ask a question in plain English ("which competitors did Perplexity name last week?") and the assistant pulls the figures for you. It suits analysts and strategists who already work in an assistant and want to dig into one prompt or one engine's full answer without exporting anything.

REST API

A REST API is the route for engineering and data teams. You write code that calls the vendor on a schedule and loads results into a warehouse such as BigQuery or Snowflake. It suits companies that blend AI visibility with web analytics, CRM or revenue data in their own models.

Only some trackers sell an AI visibility API: Firemark has a read-only REST API on every plan, next to CSV and MCP, and Otterly.AI, AthenaHQ, Scrunch and Profound each list API access on some plan, covered below. Firemark's API reads results, run logs and stored answers and cannot start runs or edit brands. If your team works from an assistant, Firemark's MCP may cover what you were going to build an API pipeline for.

How we chose these tools

We picked five AI visibility trackers that publish how you get data out, then compared them on five points:

• What's in the export. Counts only, or engines, competitors and sources too.
• API by plan. Which plan unlocks it, and any request caps.
• MCP by plan. Which plan unlocks it.
• Seats. How many people can use the data at the entry price.
• Retention. How long the vendor says it keeps your answers.

Every price and feature comes from the vendor's own pricing or documentation pages. Where a vendor's page says nothing on a point, the table says "Not stated".

Data routes and retention compared

From vendor pricing and documentation pages, 2 November 2026.

1. Firemark: best overall for teams working from an AI assistant, a sheet or a script

Firemark (tryfiremark.com) is the AI visibility tracker built to be run from Claude or ChatGPT. Its MCP server is on every plan from $29, so your assistant can read the brand's rank, competitors, cited sources and ChatGPT fan-out queries, and set up the prompt set by interview.

It is our top pick for data export because CSV, MCP and a read-only REST API all come on every plan, with unlimited seats and a stated retention period.

Key features

• MCP server on every plan. Ask Claude or ChatGPT where your brand ranks, which competitors appear, which sources the engines cite and which fan-out queries ChatGPT ran. Your assistant can also read one engine's full answer to one prompt. See how the MCP works.
• Prompt set built by interview. Your assistant asks about your brand and buyers, then drafts the prompt basket for you to confirm.
• CSV export of counts. Download prompts, engines, competitors and sources for a sheet or BI tool. The CSV holds counts. Full answers are read in the app, through MCP or through the API.
• Read-only REST API on every plan. Any member creates keys, and each key reads the workspace's brands, results, run logs and each prompt's full stored answers with sources, at 60 requests a minute per key. It cannot start runs or edit brands.
• 13 months of full answers. Full answer text and sources are kept for 13 months. Counts, verdicts, snippets and findings are kept for the life of the account.
• Unlimited seats. Everyone on the team can log in on every plan, from Lite up.
• Named and linked counted separately. You see when an answer names your brand and when it links to your site.
• Results by funnel stage and prompt group. Split the figures the way your report is organised.
• Per-URL citations. See which of your pages the engines cite (per-URL citations are live).
• Prices on the page, so you see what you will pay without a sales call.

Pricing

• Lite: $29 a month, 25 prompts, 1 brand, ChatGPT, AI Overviews and AI Mode, weekly or monthly runs.
• Starter: $79 a month, 100 prompts, daily runs, adds Gemini.
• Growth: $199 a month, 200 prompts, adds Perplexity.
• Pro: $499 a month, 500 prompts.

Every plan includes MCP, CSV export, the read-only REST API, unlimited seats and 13 months of full answers. See all plans.

Pros

• MCP, CSV and a read-only REST API from the $29 plan.
• Unlimited seats, so data access costs the same as the team grows.
• A stated 13-month window for full answers and sources.
• First results within the hour.

Cons

• The API is read-only and has no webhooks or BI connector, so a warehouse load means a scheduled job that polls it.
• Full answers stay out of the CSV, and you read them in the app, through MCP or through the API.
• Lite runs weekly or monthly. Daily runs start on Starter.
• Gemini starts on Starter and Perplexity on Growth.
• US English prompts only.

Best for

Teams working from an AI assistant, a sheet or a script: analysts, strategists and agencies in Claude or ChatGPT, anyone who keeps counts in sheets and data teams that want a read-only API without an enterprise contract, all without paying per seat.

2. Otterly.AI: best for API and MCP with a Looker Studio connector

Otterly.AI is a well-known AI visibility tracker with a $29 entry price. For data teams its standout is a REST API from the $189 Standard plan, sold alongside an MCP server and a Looker Studio connector.

Key features

• REST API from Standard. 2,000 API requests a month on Standard and 5,000 on Premium.
• MCP from Standard. 2,000 MCP requests a month on Standard and 5,000 on Premium.
• Reports and export on all plans, including Lite, the entry tier.
• Looker Studio connector (listed as a Data Studio Connector) on Standard and Premium.
• Unlimited seats on every plan.

Pricing

• Lite: $29 a month for 15 prompts, with reports and export, and no API or MCP.
• Standard: $189 a month for 100 prompts, adding API and MCP at 2,000 requests a month each.
• Premium: $489 a month for 400 prompts, with 5,000 API and 5,000 MCP requests a month.

Pros

• A published REST API without an enterprise contract.
• API and MCP on the same plan, so you can run a pipeline and ask questions in an assistant.
• A Looker Studio connector from Standard.
• Unlimited seats.

Cons

• API and MCP start at $189 a month and are capped at 2,000 requests a month on Standard.
• Lite has no API and no MCP.
• The pricing page leaves answer retention unstated.

Best for

Teams that want API and MCP with a Looker Studio connector and can budget $189 a month for Standard. If you are weighing it head to head, see our Firemark vs Otterly.AI comparison.

3. Scrunch: best for MCP with large prompt sets

Scrunch is built for brands tracking large prompt sets. Its developer docs say its MCP server is available on any plan, and an Enterprise Data API sits at the top tier.

Key features

• MCP on any plan, with OAuth sign-in. The docs say sitemap and page audit data are still to come.
• A large custom prompt allowance on every tier: 350 prompts on Scrunch Starter and 700 on Scrunch Growth.
• Enterprise Data API for warehouse loads on the Enterprise plan.

Pricing

• Scrunch Starter: $300 a month month to month or $250 a month billed annually, with 350 prompts and 3 user licenses.
• Scrunch Growth: $500 a month month to month or $417 billed annually, with 700 prompts and 5 user licenses.
• Enterprise: custom, with the Data API.
• Extra seats: $25 a month each on Scrunch.

Pros

• MCP from the entry plan.
• A large prompt allowance for the price.
• A Data API path for teams that grow into Enterprise.

Cons

• At $300 a month, Scrunch Starter is one of the highest self-serve entry prices in this list.
• Three user licenses on Scrunch Starter, with extra seats at $25 a month each.
• Sitemap and page audit data are still missing from the MCP.
• CSV export and answer retention are not stated on the pricing page.

Best for

Larger brands that want MCP with large prompt sets and have a small team using the tool.

4. AthenaHQ: best for CSV plus wide model coverage

AthenaHQ pairs CSV export with an optional paid API and covers a wide list of AI models. It uses a credit system and has a free tier.

Key features

• CSV export on AthenaHQ Starter.
• API as a paid add-on on AthenaHQ Starter, included on Enterprise.
• 11 AI models tracked.
• Unlimited users.
• Free Essential tier with 300 credits.

Pricing

• Essential: free, with 300 credits.
• AthenaHQ Starter: $295 a month with 3,600 credits, CSV export and the API as a paid add-on.
• Enterprise: custom, API included.

Pros

• CSV on the first paid plan.
• An API route without an enterprise contract.
• Wide model coverage and unlimited users.

Cons

• AthenaHQ Starter costs $295 a month, so paid features start well above the cheapest tools here.
• The API add-on price is not public.
• MCP and answer retention are not stated on the pricing page.
• Credits make the monthly volume harder to plan.

Best for

Teams that want CSV plus wide model coverage, with a paid API option for later.

5. Profound: best for enterprise data programs

Profound is the enterprise route. Its Enterprise plan carries every export option, behind a sales conversation.

Key features

• CSV and JSON exports on Enterprise.
• API access on Enterprise.
• All-time history on Enterprise.
• MCP on Enterprise only.
• Unlimited seats on Enterprise.

Pricing

• Free Trial: a 7-day trial without export, API or history.
• Enterprise: custom pricing, quoted by sales.

Pros

• The deepest set of export routes in this list.
• All-time history for long trend work.
• JSON export for engineering teams.

Cons

• Export starts at Enterprise, so the free trial lacks it.
• Every data route sits behind a sales call.
• MCP is Enterprise-only.

Best for

Enterprise data programs with a budget for a custom contract. Our Firemark vs Profound comparison covers the trade-offs in detail.

How to choose an AI visibility tool for data export

Start from where the data has to land.

• You need a warehouse pipeline. Pick a tool with a REST API: Firemark on every plan (read-only), Otterly.AI from Standard, AthenaHQ with its add-on or Profound on Enterprise.
• You work from an AI assistant. Pick a tool with MCP: Firemark from $29 or Scrunch on any plan.
• Many people need the data on a small budget. Firemark has unlimited seats from $29. Otterly.AI and AthenaHQ also list unlimited seats.
• You need long answer history. Firemark keeps full answers for 13 months on every plan. Profound lists all-time history on Enterprise.
• You report monthly in sheets. A CSV of counts is enough. Firemark, Otterly.AI and AthenaHQ list one on their published plans.

Before you sign, run this checklist against the vendor's own pages:

1. What does the export file hold?
2. Which plan unlocks the API, and what are the request caps?
3. Which plan unlocks MCP?
4. How many seats come with the entry plan?
5. How long are full answers kept?

For a wider view of the market, browse our comparison pages or read how to measure AI visibility.