Best AEO and AI Citation Tracking Tools in 2026: Profound, Goodie, Otterly, and More

Twelve months ago, the AI citation tracking category did not really exist. By Q2 2026, it has six credible vendors, a meaningful price band, and clear differences in what each platform actually measures. Most B2B teams that take answer engine optimization seriously now budget for at least one of them.

The category exists because the answer engines do not pass referrer data the way search engines do. If you cannot see what ChatGPT or Gemini said about your brand last week, you cannot tell whether your AEO content investments are working.

Here is the honest 2026 comparison.

What these tools actually do

All of them work roughly the same way under the hood. They submit a defined set of prompts to a set of answer engines (ChatGPT, Gemini, Perplexity, Claude, sometimes Copilot and others) on a defined cadence (daily, weekly), then parse the responses for brand mentions, citations, and links.

The differences are in prompt coverage, source attribution accuracy, competitive benchmarking depth, and how the data feeds back into a workflow.

None of these tools can give you exact AEO traffic numbers, because no answer engine fully exposes referrer data. They give you presence data (are you being cited and how often), which is the closest proxy available.

Profound

Best fit: enterprise and mid-market B2B teams that want the most comprehensive prompt coverage and answer-engine integrations. Profound was the early entrant and has the deepest product.

Pricing: 2,000 to 8,000 dollars a month depending on prompt volume and competitor tracking depth. Higher than most alternatives.

Strengths: tracks across all major answer engines, includes competitor benchmarking by category, provides source-page-level analysis (which of your pages got cited and for which prompts). Strong account management.

Weaknesses: complex enough that smaller teams can underuse the feature set. Pricing is opaque until sales conversation. Some customers report slow response times during peak demand periods.

Goodie

Best fit: marketing teams that want AEO citation data alongside traditional SEO data in one tool. Goodie has positioned as the AEO addition to existing SEO workflows rather than a standalone platform.

Pricing: 500 to 3,000 dollars a month. The lowest entry point in the category.

Strengths: clean UI, easy prompt setup, integrations with major SEO platforms. Strong for teams that want one place to see organic visibility across search and answer engines.

Weaknesses: less depth on competitive benchmarking than Profound. Smaller engineering team means new answer engine integrations land later than they do at larger competitors.

Otterly

Best fit: small to mid-market teams that want straightforward AEO tracking without enterprise overhead. Otterly emerged from the European market and has strong adoption in DACH region B2B.

Pricing: 400 to 2,000 dollars a month.

Strengths: simple setup, transparent pricing, good handling of non-English prompts. The cleanest product for teams that want to monitor a defined set of prompts without ceremony.

Weaknesses: lighter on the workflow features (no built-in content brief generation, limited content gap analysis). Best treated as a pure measurement tool, not a full AEO program platform.

Peec AI

Best fit: teams that want AEO tracking integrated into a broader competitive intelligence workflow. Peec positions as a brand-intelligence layer that includes AI citation tracking as one of several signals.

Pricing: 1,000 to 5,000 dollars a month.

Strengths: includes traditional brand monitoring (social, news, podcast mentions) alongside AI citation data. Good for marketing teams that want one tool for share-of-voice tracking.

Weaknesses: AEO depth is less than purpose-built tools. The combined platform is broader than focused. Worth a look if you are already considering brand monitoring tools.

Athena HQ

Best fit: teams running AEO programs that want content production workflow alongside measurement. Athena layers brief generation and outline scoring on top of citation tracking.

Pricing: 1,500 to 6,000 dollars a month.

Strengths: combines what would otherwise be two tools (citation tracking and AI content brief generation). The brief generation is competent and ties citation data back to recommended content updates.

Weaknesses: the bundled approach is overhead if the team already has an AI content brief workflow established. Citation tracking depth slightly less than Profound.

Build it yourself with a small script

Worth being honest about: most of what these tools do is submit prompts to public answer engines, parse the responses for brand mentions, and write to a database. A small Python script with paid API access to each major answer engine can replicate the core measurement for low hundreds of dollars per month.

Where the build-it-yourself path falls short: maintenance (each answer engine ships breaking changes every few months), prompt design (the bulk of value comes from a good prompt set, not the harness), and reporting workflow (a script outputs JSON, the dashboard is where the value lives).

Recommendation: for teams under 10 million in revenue with no dedicated analyst, the vendor tools are worth it. For teams above that size with strong in-house data engineering, evaluate honestly whether the time saved justifies the line item.

What to measure

Across vendors, the metrics that actually correlate with downstream business outcomes:

Citation rate (percent of relevant prompts where the brand is cited). The headline metric. Drives most of the executive reporting.

Citation share (the brand's share of citations against named competitors for the same prompt set). The competitive metric. More actionable than absolute citation rate.

Source page distribution (which pages on your site are getting cited and which are not). Tells you where to invest content production effort.

Sentiment of citations (when the engine cites you, is it favorable, neutral, or critical). Most platforms calculate this in 2026. The unfavorable mentions are the highest-priority workstream.

Where this fits in the attribution stack

AEO citation tools are measurement instruments for the AEO channel, not a full attribution stack. They tell you whether your AEO investment is producing presence. They do not tell you whether that presence drove revenue.

Pair with the self-reported attribution layer to bridge the gap. Customers who arrive from ChatGPT or Perplexity often select 'AI search' as their source on the welcome form. That is the closest proxy for AEO-attributable revenue available in 2026.

Together: citation tracking proves you exist in answer engines, self-reported attribution proves the presence is driving customers, media mix modeling sizes the channel against everything else in the mix.

Common mistakes

Tracking too few prompts. The default prompt set every vendor ships with covers maybe 5% of the relevant query space for most B2B brands. Custom prompts (from CRM lost-deal reasons, sales call transcripts, support tickets) are what produce useful citation data.

Treating absolute citation rate as the metric. A 30% citation rate sounds bad in isolation. If your closest competitor is at 12%, you are winning. Always benchmark against named competitors.

Ignoring source-page distribution. The highest-leverage AEO work is usually updating five existing pages, not publishing fifty new ones. The vendor dashboards make this easy to see and most teams still do not act on it.

The honest take

AEO citation tracking is a year-old category. The tools are competent enough to be useful. None of them is mature enough to be a full-program AEO platform.

If you are running serious AEO content production (the playbook in the AEO channel guide), buy one of these tools. The measurement value is real and the price band is reasonable.

If you are still publishing SEO content with the word AI added, no tool will save you. Fix the content first.