Free AEO Tools and How to Track AI Visibility Without Paying (2026)

The short answer

There is no genuinely free AEO tool worth recommending in 2026. Every credible AEO tracker we have verified is paid, and the cheapest entry point is Otterly.ai Lite at $29/mo. But the thing those tools automate, running buyer questions through AI engines and recording who gets mentioned and cited, you can do yourself for free. Build a set of 20 to 30 prompts from real buyer questions, run them across ChatGPT, Perplexity, and Gemini on a weekly schedule, and log mentions, citations, competitors, and cited sources in a simple scoreboard. That manual loop is the free AEO tracking method, it takes a few hours a week, and it produces the same core signal the paid platforms sell.

This guide walks through the full system, gives you the scoreboard template, and is honest about the point where free stops being worth it. It is part of our complete guide to the best AEO tools, which covers the paid options when you get there.

The honest state of free AEO tools in 2026

Search "free AEO tools" and you will find lists padded with things that are not AEO trackers at all: keyword tools, schema generators, ChatGPT itself. Actual AEO tracking software, the kind that runs prompts across engines on a schedule and reports your mention and citation share, is a paid category.

The 2026 snapshot, based on pricing we verified in July: Otterly.ai's cheapest plan is Lite at $29/mo for 15 prompts, not free. Peec AI starts at $95/mo. Scrunch AI runs around $250/mo, Profound publishes $99/mo and $399/mo tiers with custom Enterprise above, and Ahrefs Brand Radar starts at $199/mo on top of a required Ahrefs base subscription. We have not verified a genuinely free ongoing tier from any of them, and vendors change offers often enough that you should confirm current pricing directly before you buy.

So the honest framing is this: the free AEO tool is you, a spreadsheet, and a repeatable process. That is not a consolation prize. The manual method forces you to understand your prompts, your competitors, and the sources engines trust, which is exactly the understanding that makes a paid aeo tracker useful later. Here is the whole system.

Step 1: Build a 20 to 30 prompt set from real buyer questions

Your prompt set is the foundation of the entire program, and it is the step most people rush. Do not brainstorm keywords. Collect complete questions, phrased the way a real buyer would type them into ChatGPT:

• "What is the best [category] tool for [use case]?"
• "Who are the top [service] providers for [industry]?"
• "Is [your brand] worth it?"
• "[Your brand] vs [competitor], which should I choose?"
• "How do I solve [the specific problem you solve]?"

Pull them from sales call notes, support tickets, review-site questions, and your site search logs. If a buyer has asked it out loud, it belongs on the list. Then rank the list by commercial value and keep the top 20 to 30. Fewer than 20 and one odd answer distorts your rates; more than 30 and the weekly run becomes a chore you will quietly abandon.

One rule that matters more than it looks: freeze the list. The value of this method comes from running the identical prompts week after week. Edit the set quarterly if you must, but never mid-stream, or your trend data breaks.

Step 2: Run the prompts across engines on a schedule

Pick a fixed day, say every Monday morning, and run every prompt through at least three engines: ChatGPT, Perplexity, and Gemini. Add Google AI Mode and Microsoft Copilot if your buyers live there. In ChatGPT, run your highest value prompts both with and without web search where possible, because the two modes often answer differently.

Keep the conditions clean, because this is where manual tracking usually goes wrong:

• Use a fresh chat or private window for every prompt so earlier conversation does not steer the answer.
• Turn off memory and personalization. You want the answer a neutral buyer sees, not one tuned to you.
• Copy the full response before moving on, including the linked sources, not just the sentence with your brand in it.

Expect roughly two to three hours for 25 prompts across three engines once you have the rhythm. That is the real price of the free method, and it is worth stating plainly: you are paying with hours instead of dollars.

Step 3: Record mentions and citations in a scoreboard

For every prompt and engine combination, log two separate facts: was your brand mentioned in the text of the answer, and was one of your pages cited as a linked source. These are different signals. A mention means the model knows your name. A citation means the engine trusts a specific page enough to send a buyer there. Most brands discover a wide gap between the two, and the gap is where the work is.

Your scoreboard can be a plain spreadsheet. One row per prompt, one column block per engine, plus columns for competitors and sources. Here is the shape of it, using M for mentioned, C for cited:

Read down the columns and the diagnosis writes itself. A column full of "Absent" on one engine is an engine-specific gap. A row of mentions with no citations means the engines know you but do not trust your pages. The same competitor repeating in the fifth column is your priority target. Roll the sheet up into four numbers each week: mention rate, citation rate, average position, and share of voice on your top prompts. For a deeper walkthrough of the check itself, see how to check if ChatGPT recommends your brand.

Step 4: Track competitors on the same prompts

Every time you run a prompt, log which competitors appear and where they sit relative to you. This costs almost nothing extra during the run and it converts your scoreboard from a vanity report into a strategy document.

Visibility in AI answers is zero sum in practice. Most engines name three to five options for a commercial prompt, so every recommendation a competitor earns is a slot you did not. When your sheet shows Competitor A appearing in 80 percent of runs for a prompt where you appear in 20, you have a concrete, prompt-level objective instead of a vague ambition to "do better in AI search." You also get an early warning system: a competitor suddenly showing up across several prompts usually means they shipped content or earned coverage the engines picked up, and you can go look at exactly what it was.

Step 5: Log which third-party sources the engines cite

This is the step almost everyone skips, and it is the most valuable one on the sheet. When an engine answers with sources, do not just note whether you were cited. Record which pages it cited: the listicles, review sites, comparison posts, and community threads behind the answer.

Here is why that list matters more than your own ranking:

When we classified every domain the engines cited across the buyer questions we track, a brand's own site never made up more than 6 percent of the citations. The answers are assembled overwhelmingly from third-party pages, and Ahrefs data points the same direction: roughly 43.8 percent of pages cited by ChatGPT are listicles. So the "sources cited" column of your scoreboard is not trivia. It is a literal target list. If the same three roundups keep appearing behind your most valuable prompts and you are not on them, getting on them will move your visibility faster than anything you publish on your own domain. That is the logic behind third-party citation building, and the free method hands you the exact pages to pursue.

Step 6: Repeat weekly and watch the trend

AI engine outputs vary run to run, especially on competitive prompts where several credible options exist. A single snapshot can flatter you or panic you, and both reactions are wrong. The signal is in the trend.

Re-run the identical prompt set on the same day every week and chart the four rollup numbers over time. After four to six runs, patterns separate from noise: prompts you reliably own, prompts you are consistently absent from, and cells that flip from Absent to Mentioned in the weeks after you publish something or land a citation. That last category is the payoff, because it connects your AEO work to measured movement, which is precisely what you will need when someone asks whether any of this is working.

The manual tracking loop at a glance

The whole system is a loop, not a checklist. Build the prompt set once, then cycle through running, recording, and reviewing every week.

When free stops being worth it

The manual method is genuinely good, and for a single brand with 20 to 30 prompts it can carry you for months. But be honest with yourself about three breaking points.

Scale. The moment you want 50 prompts, five engines, or per-mode coverage, the weekly run stops fitting in a morning. Paid aeo tracking software exists because prompts times engines times cadence grows fast.

Consistency. A tool runs the same prompts the same way every time, without a busy week silently skipping a run. Trend data is only as good as its worst gap.

Reporting. Stakeholders want charts with history, not a spreadsheet with your annotations. Automated aeo monitoring tools produce those by default.

When you hit any of those, the upgrade path is well mapped. Otterly.ai is the cheapest credible paid entry at $29/mo for 15 prompts, a natural first step up from the spreadsheet. Peec AI at $95/mo is the step after that, with broader engine coverage, unlimited seats, and the citation-source tracking that mirrors step 5 of the loop; it is what we run our own client tracking on. The full field, including enterprise options like Profound, is compared in our guide to the best AEO tools. Whichever you pick, bring your own prompt set. The manual months will have taught you exactly which questions matter, and that transfers directly.

Watch: the discipline behind the tracking

If you are new to Answer Engine Optimization itself, this short explainer from Ahrefs frames why measuring AI visibility matters in the first place, which is useful context before you invest the weekly hours.

Key takeaways

• There is no credible free AEO tracking tool in 2026; the cheapest verified paid option is Otterly.ai Lite at $29/mo. The genuinely free method is manual.
• Build 20 to 30 prompts from real buyer questions, freeze the list, and run it weekly across ChatGPT, Perplexity, and Gemini in clean private sessions.
• Record mentions and citations separately in a scoreboard; the gap between them tells you whether your problem is awareness or trust.
• Track competitors and, critically, log which third-party sources the engines cite. Your own site is only 2 to 6 percent of cited sources, so those roundups and reviews are your real target list.
• Trends beat snapshots. Weekly re-runs of the same prompt set are what turn noisy AI outputs into a measurement you can act on.
• Graduate to a paid aeo tracker when scale, consistency, or reporting outgrow the spreadsheet, and bring your prompt set with you.

Start the loop this week

You do not need budget approval to start measuring your AI visibility. You need an afternoon to build the prompt set and a standing two-hour block each week to run the loop. Within a month you will know, with real data, whether the engines your buyers use recommend you or hand the answer to someone else, and you will hold a list of the exact third-party pages deciding it.

If the scoreboard shows gaps you want closed rather than just counted, an AI visibility audit from AEO Labs runs this measurement at full depth and identifies the fastest citations to win. And if your brand is barely showing up at all, why isn't my brand in AI search diagnoses the usual causes before you spend a dollar on tooling.