The six AEO tools worth paying for in 2026: Peec for share-of-answer tracking, Otterly for citation auditing, AthenaHQ for prompt-portfolio management, Profound for enterprise dashboards, Rankscale for content-gap analysis, BrandRank for sentiment and mention attribution. We use Peec daily at LoudFace, 75 prompts across 9 tags. Below: what each does, who it's for, and the honest tradeoffs.
I run LoudFace, an agency that builds integrated SEO + AEO programs for B2B SaaS. We're tool-users, not tool-sellers — we evaluate this stuff every quarter and drop what doesn't earn its line item.
At a glance
| Tool | Best for | Starting price | Stand-out |
|---|---|---|---|
| Peec | Share-of-answer tracking across LLMs | Contact for pricing — peec.ai | Prompt taxonomy, brand vs. competitor view |
| Otterly | Citation auditing (which pages get cited) | $29/mo Lite, $189 Standard — otterly.ai | Cheapest serious entry; transparent tiers |
| AthenaHQ | Prompt portfolio + cross-LLM comparison | $95/mo annual, $295/mo monthly — athenahq.ai | Built around prompt-portfolio thinking |
| Profound | Enterprise dashboards, multi-brand | Contact for pricing — tryprofound.com | Agency-friendly, white-label, CFO-readable |
| Rankscale | Content-gap analysis from LLM patterns | $20/mo Essentials, $99 Pro, $385 Growth — rankscale.ai | Topic clusters that feed the calendar |
| BrandRank | Sentiment + mention attribution | Contact for pricing — brandrank.ai | What context AI mentions you in |
If you only buy one, start with Peec. It's the tool we use at LoudFace to make daily calls about which prompts to target and which competitors to attack. The others fill specialist gaps.
What we look for in an AEO tool (and what we don't)
After running citation programs for clients across 2025 and 2026, the criteria collapse to four:
- Cross-LLM coverage. ChatGPT, Claude, Perplexity, Gemini at minimum. A tool that only tracks ChatGPT is half a tool.
- Prompt-portfolio thinking, not single-keyword. Your buyers ask 30 to 50 distinct prompts. A tool that scores you on one is theater.
- Competitor share-of-voice. Knowing you're cited 12% of the time is meaningless without knowing who has the other 88%.
- Honest citation source tracking. Which page got cited matters more than which prompt. The tools that show you the actual URL win.
We pass on:
- Tools that promise to "fix your AEO" via undisclosed methods. AEO is not gameable. Your structured data, your citations, your entity graph are the work.
- Browser extensions that scrape prompts manually. Doesn't scale past 10 prompts.
- "AI SEO" tools repackaged as AEO. Different problem, different stack.
The six AEO tools worth paying for in 2026
1. Peec
What it does: tracks brand mentions, citations, and share-of-answer across ChatGPT, Claude, Perplexity, and Gemini. Daily scans. Tag taxonomy for slicing prompts by funnel stage, service area, vertical.
How we use it at LoudFace: 75 active prompts. 9 tags (TOFU / MOFU / BOFU + Webflow / SEO / AEO / CRO + SaaS / Fintech). Daily competitor scan. Weekly review of which prompts moved.
Where it wins:
- Largest connected prompt library among tools we've tested
- Cleanest competitor-tracking view in the category
- Filter prompts by tag and you get strategic insights, not just data
Where it doesn't fit:
- Under 20 tracked prompts, the pricing math gets harder to justify
- The action layer is thin. You still need a content team to act on the data
Best for: B2B SaaS marketing teams running a real AEO program with 30+ tracked prompts.
Where it's not the best fit: solo founders tracking under 10 prompts who'd do fine with manual checks.
2. Otterly
What it does: citation auditing. Shows you which pages from your domain get cited in LLM answers, and for which prompts.
How we use it: spot checks after publishing a piece. Tells us within 24 hours whether the new page is showing up in answers.
Where it wins:
- Cheapest serious entry point in the category — $29/mo gets you 15 prompts across ChatGPT, Google AI Overviews, Perplexity, and Copilot
- The "which page got cited" view is more granular than what Peec exposes
- Good for citation-pattern analysis: which page types win, which lose
Where it doesn't fit:
- Coverage is thinner than Peec on competitor tracking
- 15 prompts on Lite is genuinely tight for a real B2B SaaS program — most teams will need Standard ($189/mo) within a quarter
Best for: content teams who want to validate published pieces and audit citation patterns.
Where it's not the best fit: programs that need competitor share-of-voice as the primary KPI.
3. AthenaHQ
What it does: prompt portfolio management. Lets you build a library of buyer prompts and track them across LLMs over time.
How we use it: pilot. We have it under evaluation alongside Peec.
Where it wins:
- Prompt-management UX is genuinely well thought through
- Cross-LLM comparison views are clean
- Pricing is now public and credit-based ($95/mo annual = ~3,600 credits)
Where it doesn't fit:
- Newer entrant. Feature coverage lags Peec on competitor tracking
- Credit-based pricing means budgeting is harder to predict than per-prompt models
Best for: teams that obsess over prompt-portfolio structure and want a tool built for that mental model.
Where it's not the best fit: if you need everything in one tool today, the gaps will hurt.
4. Profound
What it does: enterprise AEO dashboards. Multi-brand, multi-tenant. Built for agencies and large in-house marketing teams.
How we use it: not currently. We evaluated and chose Peec for our stage. We refer enterprise prospects who ask about agency AEO tooling here.
Where it wins:
- Multi-brand is genuinely useful if you're an agency managing 5+ accounts
- Reporting layer is the most CFO-readable in the category
- White-label options exist
Where it doesn't fit:
- Pricing is enterprise-only (demo-required). Not for sub-Series B SaaS budgets.
- Overkill for single-brand teams
Best for: agencies running AEO programs for 5+ clients, or enterprise marketing teams with multi-brand portfolios.
Where it's not the best fit: anyone with a single brand and under 100 prompts.
5. Rankscale
What it does: content-gap analysis from LLM citation patterns. Identifies topic clusters where you're losing citations and where the answer gap is.
How we use it: monthly review. Generates the "next 5 things to write" shortlist that feeds our content calendar.
Where it wins:
- Pricing genuinely starts at $20/mo (Essentials) — lowest entry in the category
- Content-gap framing is more actionable than raw citation data
- Topic clustering is solid
Where it doesn't fit:
- $20 Essentials is a taster, not a production tier. Most teams will land on Pro ($99/mo) or Growth ($385/mo)
- Output is a starting point, not a roadmap. The clustering is statistical. You still need a strategist to decide which gaps are worth attacking.
Best for: content teams that need a defensible "what to write next" pipeline.
Where it's not the best fit: teams without the bandwidth to act on monthly recommendations.
6. BrandRank
What it does: sentiment and mention attribution. Tracks not just whether you're cited, but how. Positive context, negative context, neutral reference.
How we use it: occasional checks when something feels off. If a competitor starts being cited more in our priority prompts, we want to know whether it's because they're being recommended or being warned against.
Where it wins:
- Sentiment-aware citation tracking is rare
- Surfaces the "we're being cited as a cautionary tale" failure mode
Where it doesn't fit:
- Sentiment is a noisy signal at the LLM level. Treat with appropriate skepticism.
- No public pricing — enterprise-only conversation
Best for: brands defending category position who need to monitor mention context, not just frequency.
Where it's not the best fit: programs still in citation-acquisition mode (where any mention is a win).
How to actually pick
You don't need all six. The stack for most B2B SaaS teams looks like:
- One tracker. Peec or AthenaHQ. Pick by which prompt-management UX matches how your team thinks.
- One auditor. Otterly if you're testing published pages weekly.
- Optional: content-gap input. Rankscale if you have a content team that can act on it.
Anything more is over-tooling. We see teams drown in dashboards more often than we see them under-instrumented.
If your AEO program is brand new and you don't yet have a tracked prompt list, the right move is to build the prompt portfolio first. Ninety minutes of work, manually, in a spreadsheet. Then buy a tool to automate the daily check. Buying tools before you have a prompt strategy is buying answers to questions you haven't asked.
How we use AEO tools at LoudFace
Honest daily practice:
- Morning: open Peec, check share-of-voice trend for our top 20 prompts. Flag any prompt where we lost a position overnight.
- Weekly: review which new pages got cited (Otterly) and which prompts moved tags (Peec). Surface 2-3 content updates.
- Monthly: Rankscale gap analysis feeds the next month's content calendar.
- Quarterly: review the tool stack itself. Drop anything that doesn't surface insight we acted on in the prior 90 days.
The tools earn their keep when the data drives decisions. The Peec dashboard is how we knew Toku had become the AI's go-to answer for stablecoin payroll — and which adjacent prompts to attack next to compound that position.
We use Peec to drive our Notion content roadmap directly. The tools and the writing are tightly coupled. AEO tooling without a content team to act on the data is a dashboard hobby.
