Aeo Rank Tracker That Shows Per-Engine Position History

• A traditional rank tracker checks a keyword and records a single numbered position.
• Published prices for 100 tracked prompts run from $82 to $299 a month, according to AEOLabs.
• Engine coverage determines whether tracking data describes the market or only one model's habits.
• Daily checking feels rigorous, but it mostly records answer variability.
• Store raw per-prompt, per-engine results, not only summary scores.

A traditional rank tracker checks a keyword and records a single numbered position. AI answers work differently, and that difference changes what a team should measure. An AI answer engine can name a brand without linking to it, link to a brand without naming it, or leave it out entirely.

According to HubSpot's AEO tracker guide, a citation is an explicit link to a source, while a mention is the brand named without a link. Because these facts move independently, the order in which a brand is mentioned inside a generated paragraph is a looser signal than a SERP slot. An AEO tracker that flattens mentions and citations into one score hides the information a marketing team needs to act on.

Published prices for 100 tracked prompts run from $82 to $299 a month, according to AEOLabs. The spread is driven mainly by engine coverage and depth, not by the number of dashboards. The table below lists the entry points AEOLabs and the vendors themselves publish. Plans are not like-for-like:

• Prompt volumes
• Engine counts and run frequency differ
• So compare cost per tracked prompt at the volume you actually need

Figures from AEOLabs' published comparison: AEOLabs. Prices change; verify on each vendor's site before buying.

Engine coverage determines whether tracking data describes the market or only one model's habits. According to AEOTrack, a single brand can be named in six of eleven ChatGPT answers while appearing in none of the Gemini, Claude or Perplexity answers for the same questions. AEOTrack presents this as its own observation, not an independently verified benchmark, so it should be treated as a reason to test rather than a settled rate. Specifically, a tracker should record each engine as its own time series. However, a single-engine setup can hide losses that appear elsewhere. For example, a gain on one model can mask a decline on another.

• Record each engine as a separate series
• Compare mentions and citations per engine
• Test the AEOTrack pattern against your own prompts

Daily checking feels rigorous, but it mostly records answer variability. According to AEOTrack, weekly checks are the better cadence, with branded questions scored separately because branded prompts inflate visibility numbers. This is a vendor recommendation, so teams should weigh it against their own variance data. According to Ansvisor, a tracking program needs a baseline of roughly two weeks before any change. It also needs a control group of at least 20 untouched prompts and a re-measurement window of four to six weeks. Each engine recrawls pages on its own schedule, so the timing matters.

• Weekly checks rather than daily runs
• Branded and non-branded prompts scored separately
• Two-week baseline before any change
• Four to six weeks of re-measurement

Store raw per-prompt, per-engine results, not only summary scores. Keep mention rate, citation rate, order-of-mention position, share of voice and sentiment as separate columns. According to HubSpot's AEO tracker guide, these signals are the core measures across answer engines.

Bing's Webmaster Tools AI Visibility Insights offers a Compare view that overlays a prior period on the current one, which is a useful model for checking a content release against its earlier baseline. However, none of these methods isolate cause perfectly. A control group of untouched prompts is the strongest check available, because it shows whether the change alone moved the results.

Match the tool to the number of prompts a team must watch and the engines its buyers use. For example, a team tracking 25 to 50 prompts across three engines fits the lower tiers of HubSpot AEO or Peec AI. According to AEOLabs, Peec AI starts at $95 a month with 50 prompts and 3 engines.

A team with hundreds of prompts and a need for nine-engine coverage will find Rankshift's metered model more relevant, since according to AEOLabs it spans 9 engines with metered daily runs. Where a plan does not publish its prompt allowance or engine list, the honest answer is that the detail is not publicly documented. Teams should request those details from the vendor before committing.

The specific figures and claims on this page are grounded in the following sources, reviewed at the time of writing:

• 7 Best AEO Rank Trackers (2026): $82 to $299/mo at 100 Prompts
• AEO Tracking Software: What It Records and Costs
• Best AEO trackers: What they measure and how to choose one
• AEO Tracking: How to Track AEO and Choose an AEO Tracker - Ansvisor
• AEO Guide 2026: Best Answer Engine Optimization Tools, Software, Platforms & Tracking
• The #1 Answer Engine Optimization (AEO) tool