AI Search Visibility Tools Landscape 2026

The AI search visibility category did not exist three years ago. By 2026 there are at least a dozen serious tools. The gap between the strongest and weakest is wide — both in engines tracked and in real customer outcomes after 12 months. The category sits between SEO tracking and brand monitoring, and it answers a question neither could.

The job to be done

When a buyer asks ChatGPT, Perplexity, Google AI Mode, or Gemini for a recommendation in your category, are you in the answer? Where do you appear in the list? What does the AI say about you? Mediocre tools count mentions. Strong tools track citations, compare to competitors, and tie back to actions you can take on your site or third-party publications.

The three price tiers

Profound at $499/mo (Lite tier) anchors the enterprise end with engine breadth and reporting polish. Peec AI from €89/mo is the mid-market answer with 115+ language coverage. Otterly from $29/mo is the solo founder budget pick with 15K+ users. Bluefish AI is the only quote-based enterprise tier focused on Fortune 500 brand-safety use cases.

The DIY layer

Most teams should not pick one tool. Pick the dashboard tier that fits the budget and add a Scavio-driven daily citation script for the metrics dashboards don't expose. Reddit thread mentions, AI Overview citation lists, raw delta tracking — these live cleanly in DuckDB with a 50-line script.

import os, requests, duckdb, datetime
API_KEY = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': API_KEY}
db = duckdb.connect('aeo.duckdb')
db.execute('CREATE TABLE IF NOT EXISTS citations(keyword TEXT, surface TEXT, url TEXT, date DATE)')

KEYWORDS = ['scavio', 'best mcp search server', 'tavily alternative']

for k in KEYWORDS:
    today = datetime.date.today()
    r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
        json={'query': k, 'include_ai_overview': True}).json()
    for c in (r.get('ai_overview') or {}).get('citations', []):
        db.execute('INSERT INTO citations VALUES (?, ?, ?, ?)', (k, 'ai_overview', c, today))

What each tool does well

Profound wins outright if you need depth across 8+ engines, ranking history, and white-glove onboarding. Otterly wins outright for solo SaaS founders on a $29 budget. Peec wins for multilingual brands serving non-English markets. Bluefish wins for Fortune 500 brand-safety teams that need influence measurement and audience segmentation.

What none of them do well

Reddit thread tracking as a leading indicator. AI Overview citation lists at the row level (most dashboards summarize). Raw daily deltas that pair with custom reporting. Custom keyword grids beyond the tier limits. The DIY layer fills these gaps at ~$30/mo of API spend.

Why Reddit threads matter for AEO measurement

AI Overview citations frequently trace upstream to Reddit threads. Tracking Reddit thread mentions of the brand becomes a leading indicator of new AI Overview citations 2-6 weeks later. Most pure-AEO trackers miss this surface entirely; some include Reddit in a basic mentions count but don't structure thread metadata.

Cost stack for a typical SaaS

Otterly $29/mo + Scavio $30/mo + DuckDB self-hosted = $59/mo for polished dashboard plus DIY metrics layer. At the mid-market, Peec €89/mo + Scavio $30/mo + a small dashboard layer ≈ $130/mo. At the enterprise tier, Profound $499/mo + Scavio usually replaces a team of paralegals at 90%+ savings.

The category is still moving

AI engines change citation behavior every few months. What works on ChatGPT may not work on Perplexity. Google AI Mode citation rules differ from Gemini's. Any team relying on a single dashboard's definition of "visibility" will get burned when the underlying engine changes its surface. The DIY layer is the hedge.

What we recommend

For most SaaS in 2026: Otterly or Peec for the dashboard tier plus Scavio for the daily citation deltas plus a small Slack/email digest. Total stack under $100/mo. The dashboard gives executives the visualization. The DIY layer gives the marketing team the rows.