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Comparison · April 7, 2026 · 11 min read

AI search monitoring tools in 2026: how the field stacks up

Honest take on Profound, Goodie, Peec, Athena, Otterly — and where BrandMirror sits. What each is good at, who they're for, and how to choose.

There are now nine commercial tools tracking brand visibility in AI search. Six raised funding in 2025. Two will be dead by 2027. Below is the field — including where we sit, the trade-offs we lose on, and the question that matters more than which tool you pick.

30-second decision tree

  • Budget >$5K/mo, enterprise procurement OK → Profound (real panel data is the moat).
  • $1K–3K/mo, want defensible methodology → BrandMirror or Athena HQ.
  • <$500/mo, need it tomorrow → Goodie (free tier) or Otterly.
  • Agency reselling 10+ clients → Peec or BrandMirror white-label.
  • Brand protection / reputation focus → Scrunch.

The contenders

Profound

Best for: growth-stage and enterprise B2B SaaS with 6-figure marketing budgets. Strength: proprietary panel data — they sample real consumer queries, not just synthetic prompts. Big moat, real differentiation. Weakness: expensive ($3K–10K/mo+ typical), enterprise-sales motion, slow to onboard.

Goodie

Best for: startups and SMB. Strength: nice UX, fast onboarding, generous free tier. Weakness: shallow methodology disclosure; limited persona variation; ChatGPT-leaning.

Peec AI

Best for: agencies and content marketers. Strength: excellent prompt-discovery features. Weakness: coverage skewed toward Perplexity and ChatGPT; weaker on Claude.

Athena HQ

Best for: brands with technical buyers (devtools, infra). Strength: ex-DeepMind/Google team, technically credible methodology. Weakness: still growing; not yet broad enough on multilingual.

Otterly.ai

Best for: SEOs adding GEO as a service. Strength: integrates with existing SEO workflows (Ahrefs-style data fields). Weakness: lighter on alerting and drift detection.

Evertune

Best for: mid-market focused on competitive benchmarking. Strength: strong competitor share visualizations. Weakness: less depth on positioning drift.

Scrunch

Best for: brand-protection use cases. Strength: reputation focus. Weakness: narrower scope on competitive prompt space.

Where BrandMirror fits

We built BrandMirror for a specific buyer: VP of Marketing at a B2B SaaS between $20M and $200M ARR who wants methodological rigor without enterprise procurement pain. Not the cheapest, not the most expensive. Specifically:

  • Methodology transparency. We publish our full sampling, confidence intervals, and canary panel. Read it. Most competitors don't.
  • Persona-aware sampling. Each prompt runs across three buyer personas — like our CRM study showed, this matters.
  • Mid-market pricing. Pilots start at $1,200/mo, no annual contract required. Enterprise plans available, but the wedge is the mid-market who'd otherwise build their own.
  • Honest about limits. We don't claim Google AI Overviews has full coverage; nobody does. We disclose what we can and can't see.

How to choose

Three questions, in order:

1. Do you have a budget for >$5K/mo?

If yes, get a Profound pilot — the panel data is genuinely a different product. If no, skip them.

2. Do you need methodology you can defend in front of an engineer?

If yes, BrandMirror, Athena HQ. If no, Goodie or Peec are easier to onboard.

3. Are you an agency reselling?

If yes, Peec or BrandMirror's white-label tier. Profound and Athena don't really do white-label.

The fair caveat

All these tools are 18 months old or less. The field will consolidate. Most likely two outcomes by end of 2027: (a) one or two specialists win the SMB/mid-market and get acquired by a SaaS analytics platform, (b) Google or OpenAI launch a first-party "AI Search Console" that resets the bottom of the market.

Whichever tool you pick, pick one that can show its work. The category is too young to trust black-boxes.


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