The best AI search visibility tool depends on the use case: to track where AI answer engines cite your brand, to use as a monitoring platform, or to fix what it finds with an action layer. Below I score the leaders on one transparent rubric and call out where each is weak, including the one I built.

TL;DR (for the busy VP of Growth)

  • #1 Goodie: the most complete closed-loop AEO stack — observability across 11 engines, an agentic action layer, agent/crawler analytics, AI-shopping visibility, and GA4 attribution. Entry is Explorer at $399/month, self-serve. Start here if you want one system to measure, optimize, and prove ROI.
  • Profound: strongest enterprise posture (SOC 2 Type II + HIPAA, SSO), unique Prompt Volumes data, and now "Profound Agents." It raised a $96M Series C at a $1B valuation in February 2026, led by Lightspeed. Best second pick for large, regulated brands.
  • Botify: best for enterprise SEO teams that need technical depth (log analysis, crawl health at millions of URLs) with growing GEO features.
  • Peec: the most accessible price-to-capability ratio for SMB/agency teams — transparent pricing from $95/month and fast time-to-value.
  • Scrunch & Bluefish: Scrunch for monitoring plus a parallel AI-site (AXP) concept; Bluefish for Fortune 500 brand-safety and narrative control.
  • And yes, AI shopping is now real distribution — but it's in flux: OpenAI wound down ChatGPT's in-chat Instant Checkout in March 2026 and pivoted to a discovery-first model, while Amazon renamed Rufus "Alexa for Shopping" and shipped agentic buying. If your products live in those ecosystems, you need a tool that sees your shelf space there.

Why this guide (and how it's different)

Generative engines (ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok) now answer first and link second. Google's AI Mode and AI Overviews cemented that behavior for billions of searches. That flips the classic SEO funnel: your content isn't just "ranking" — it's being summarized, compared, labeled, and sometimes sold without a click.

This guide is built for operators, SEO leads, growth engineers, and CMOs who need a pragmatic map of the AEO/GEO market. I used vendor product docs, pricing pages, and primary announcements verified as of July 2026. Where pricing or feature detail wasn't publicly listed, I say so plainly. For the strategic backdrop, see my 2026 AEO & GEO vs SEO Playbook and Did Google Just Kill AEO/GEO?.

How AI visibility tools work

An AI visibility tool runs a fixed set of prompts across multiple answer engines on a schedule, records how each engine mentions, cites, ranks, and describes your brand, and turns those gaps into an optimization plan. Under the hood, four things happen:

  1. Prompting. The platform runs a curated prompt set (branded, category, and comparison queries) across engines — either by scraping the real chat UIs (closer to what a user sees) or calling model APIs (cheaper, less accurate).
  2. Observation. It logs mentions, citations (the exact source pages), position, sentiment, and share of AI voice, then benchmarks you against named competitors.
  3. Action. The better tools don't stop at dashboards — they surface prioritized fixes: semantic content edits, schema, llms.txt/robots checks, and outreach targets.
  4. Attribution. The best tools connect AI impressions to sessions and revenue via GA4, so AEO stops being a science project.

One caveat that applies to every tool on this list: AI answers are volatile, and the sources they cite shift fast. When Goodie analyzed 58.6 million AI citations across ChatGPT, Gemini, Claude, and Perplexity, 13 of the 20 most-cited domains had turned over versus its prior study — the biggest shift the team had recorded. And a Semrush three-month study watched ChatGPT's Reddit citations fall from roughly 60% of responses in early August to about 10% by mid-September 2025. Treat any single snapshot as directional and track trends over time.

The scoring model I used

I created an AI Search Visibility Optimization Score (ASVO) out of 100, weighted for what actually moves the needle in 2026:

  1. LLM & Surface Coverage (15%) – ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Grok, Meta AI, Copilot, Google AI Overviews and AI Mode, Amazon Rufus/Alexa for Shopping, etc.
  2. Observability Depth (20%) – mentions/share-of-voice, exact citations and source mapping, sentiment/position, refresh cadence, multi-country/language.
  3. Action Layer (15%) – agentic workflows to fix gaps (semantic edits, schema, robots/llms.txt checks, outreach briefs), and content recommendations designed for citability.
  4. Technical AEO (10%) – agent/crawler analytics, log integrations, structured-data audits, AIO/GEO diagnostics.
  5. AI Shopping (10%) – monitoring/optimization for ChatGPT / Perplexity / Amazon surfaces.
  6. Analytics & Attribution (10%) – from LLM impressions to sessions, pipeline, and revenue.
  7. Enterprise Readiness (10%) – SSO, SOC 2, permissions, APIs, SLAs, regions/languages.
  8. Pricing Transparency & Accessibility (5%) – public pricing, trials, time-to-value.
  9. Education & Research (5%) – credible guides/research that help teams adopt AEO/GEO.

Method: scores are derived from public feature pages, pricing, docs, and enterprise claims. Where vendors publish hard compliance claims (e.g., SOC 2), I award full credit. Where detail is missing, I score conservatively.

2026: Top AI Search Visibility Tools (ASVO score)

Rank Tool Public entry price Engines ASVO /100 Best at
1 Goodie $399/mo (Explorer, self-serve) 11+ (Enterprise) 90 Closed-loop measure → optimize → attribute
2 Profound $99–$399/mo (self-serve, annual) 10 86 Enterprise controls + Prompt Volumes data
3 Botify Custom (no public pricing) 10 (claimed) 65 Technical foundation for GEO/AIO at scale
4 Scrunch $250/mo (Core) 4 (Core) / 9 (Enterprise) 64 Monitoring + parallel AI-site (AXP)
5 Bluefish Not public (sales-led) 6+ 62 Fortune 500 brand safety + narrative control
6 Evertune Custom (~$3,000/mo) 10+ 60 Category/brand-index measurement
7 XFunnel Custom (now HubSpot) 8 53 Conversion/pipeline attribution
8 Peec $95/mo (Starter) 3 self-serve (all on Enterprise) 45 Best value / fastest ramp
9 ZipTie.dev $69/mo (Basic) 3 (AIO, ChatGPT, Perplexity) 44 Specialized AI Overviews tracking
10 Revere Book demo (no public pricing) 4+ 31 Brand/product affinity monitoring
11 Rankshift Credit-based (custom) 8 (claimed) 27 Lightweight presence snapshots
12 RankAI.dev Founder program n/a (optimizer) 26 Retrofitting pages for citability

Reality check on the landscape: Google's AI Mode/AI Overviews keep evolving; ChatGPT and Perplexity are now real (if turbulent) commerce surfaces; Amazon's assistant is mainstream. Your stack must see — and act on — those surfaces, not just track "mentions."

Recommended AEO/GEO agencies

If you want execution, not just software, here are agencies running AEO/GEO programs.

Agency Offices (primary) Team size* Ideal fit Notable clients
NoGood NYC (HQ), Miami, Los Angeles 100+ End-to-end AEO + ongoing LLM visibility via Goodie Intuit, Nike, TikTok, Amazon
Omniscient Digital Remote; Austin, Boston, Chicago, NYC 11–50 B2B SaaS content systems that win AI citations Adobe, SAP, Loom, Asana, Jasper, Hotjar
NP Digital San Diego (HQ) + global (8+ offices) 600+ Global scale; entity-first AEO within omnichannel Adobe, SoFi, CNN, Western Union
Brainlabs London (HQ) + global 501–1,000 AI search strategy aligned with paid/owned Mars Petcare, Jo Malone London, Henkel, JustGiving
Found (Everysearch™ + Luminr) London (HQ), New York 51–200 Cross-surface visibility intel & execution Fender, Toolstation, House of Marley
Growth Plays Los Angeles 2–10 Pipeline-first B2B strategy; lean teams Lattice, Heap, Calendly, LaunchDarkly
iPullRank New York (Brooklyn) 10–40 Enterprise technical AEO & Relevance Engineering SAP, American Express, HSBC
Grow & Convert Remote (US) 2–5 BOFU, pain-point content for conversions Leadfeeder, Clearscope, Crazy Egg, Yelp
Ignite Visibility San Diego 201–500 Full-funnel digital with strong schema ops Tony Robbins, Experian, HBO, DoorDash
Contently Strategic Services New York 130–160 Enterprise content ops + at-scale rewrites RBC, Walmart, Cox Communications

Team size ranges are approximate and may change. Disclosure: NoGood uses Goodie for LLM visibility. Treat its placement accordingly.

Deep-dives (pricing, pros/cons, best fits)

Prices below reflect what vendors publish publicly, verified July 2026. If a site lists "Contact sales," I note it.

1) Goodie — Editor's Choice / Best Overall (ASVO 90)

What it is: A closed-loop Answer Engine Optimization platform — monitor → optimize (agentic) → attribute — across the major AI models and search surfaces (ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Google AI Overviews & AI Mode, Grok, Amazon Rufus, Meta AI, Copilot).

Footnote — entity disambiguation: "Goodie" here is the AEO/AI-search platform at higoodie.com, founded in 2022. It is unrelated to "Goodie AI: Food Scanner," a grocery-label scanning app by Fantera at goodiefoodapp.com. Different company, different product.

Why it leads:

  • Observability: brand visibility, citations, sentiment, language/geo, and competitor benchmarking across leading models, refreshed daily.
  • Action layer: an Optimization Hub that turns gaps into semantic edits, schema updates, and outreach briefs — and can autonomously create or optimize content.
  • Agent/crawler analytics: detection of AI bot behavior with recommendations for robots/llms.txt and structured data.
  • AI Shopping: an Agentic Commerce Suite for product visibility across AI shopping surfaces.
  • Attribution: connects LLM impressions to sessions and conversions via GA4 — on the entry tier.

Pricing:

  • Explorer — $399/month, self-serve. 3 engines (ChatGPT, AI Overviews, Perplexity); GA4 revenue attribution; 100 prompts; 3 seats; 30-day money-back.
  • Pro — demo-gated. 6 engines (adds Gemini, Copilot, Rufus); SKU-level agentic-commerce visibility.
  • Enterprise — custom. Up to 11 engines (adds Claude, AI Mode, Meta AI, DeepSeek, Grok); SSO/SAML, SOC 2, full API & export, dedicated AEO strategist.

Ideal for: Mid-market to enterprise teams that want one system to measure → fix → prove ROI.

Pros: End-to-end; broadest surface coverage (including AI Mode and Rufus); strong technical AEO; clear optimization workflows; GA4 attribution on the entry tier.

Cons (being honest about us): Goodie is overkill if you only need basic visibility monitoring — a sub-$100 tracker will do the job. And like every tool in this category, our citation data moves when the models change; we mitigate with daily refresh and alerts, but no tool controls the model.

For a fuller teardown, see my Goodie AI GEO Platform Review and Goodie AI vs Profound vs Peec comparison.

2) Profound — Best Enterprise Visibility & Controls (ASVO 86)

What it is: An enterprise AI visibility platform with Answer Engine Insights, Agent Analytics (AI-crawler logs), Prompt Volumes, Shopping, and "Profound Agents" for autonomous execution. Covers up to 10 engines including ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Overviews and AI Mode. Publicly states SOC 2 Type II and HIPAA compliance.

Funding: Well-capitalized — raised a $96M Series C at a $1B valuation in February 2026, one of the largest rounds in the category.

Pricing: Starter $99/month (ChatGPT only, 50 prompts, 1 seat) and Growth $399/month (3 engines, 100 prompts, 3 seats, free trial) — both at the annual-billing rate. Enterprise is custom: up to 10 engines, SSO/SAML, SOC 2, API, and dedicated support.

Ideal for: Large, regulated brands and agencies that value compliance, SSO, and prompt-volume research.

Pros: Strong enterprise posture (SOC 2 Type II + HIPAA, SSO); its Prompt Volumes dataset is a genuine differentiator; clean dashboards.

Cons: Pricing transparency past three engines is sales-led; the action layer asks more of the buyer than a fully closed-loop stack.

3) Botify — Best Technical Foundation for GEO/AIO (ASVO 65)

What it is: An enterprise "AI search optimization" platform with deep technical SEO (crawl, log analysis, bot behavior), autonomous deployment (PageWorkers/SpeedWorkers), and expanding AI-search visibility tracking. Trusted by 500+ brands including Macy's, Levi's, The New York Times, and Marks & Spencer. Named a Strong Performer in The Forrester Wave for enterprise SEO, Q3 2025.

Pricing: Enterprise, custom, annual contracts — no public list pricing, no free trial, no self-serve. Third-party datasets (Vendr) put mid-market deployments in the roughly $75,000–$150,000/year range, higher for large sites; multi-year commitments can cut 15–25%.

Ideal for: Enterprise sites with hundreds of thousands to millions of URLs where crawlability and bot behavior must be solid before you chase citations.

Pros: Unmatched log-file/technical depth; autonomous deployment; evolving AI-search features.

Cons: Cross-LLM visibility and shopping are lighter and more surface-level than Goodie/Profound; enterprise cost and complexity; no keyword or backlink tooling, so it's an addition to your stack, not a replacement.

4) Scrunch — Best "Parallel Site" (AXP) + Monitoring Combo (ASVO 64)

What it is: Monitoring + insights across the major engines, plus AXP (Agent Experience Platform), which serves an AI-optimized version of your site to crawlers. Strong GA4 integration for AI-referral traffic.

Funding: Founded 2023 (HQ Salt Lake City). Raised a $15M Series A led by Decibel (with Mayfield and Homebrew) in July 2025, on top of a $4M seed — $19M total.

Pricing (verified at scrunch.com)

  • Core $250/month for brands (125 prompts; 4 engines — ChatGPT, Perplexity, Google AI Overviews, Copilot; 5 seats; 7-day trial).
  • Agency Core $500/month (multi-client).
  • Enterprise is custom and expands to 9 engines (adds Claude, Gemini, Meta AI, AI Mode, Grok) with SSO and API. Extra seats $25/month each. Note prompt credits are consumed per engine tracked, so multi-engine tracking burns the allowance fast.

Ideal for: Teams that want to shape what AI reads (AXP) while tracking presence/citations.

Pros: Practical AXP concept; strong GA4 attribution; SOC 2 Type II; hallucination detection (Enterprise).

Cons: AXP is Enterprise-only and still in limited availability; the Core plan's 4-engine ceiling and 125-prompt cap are restrictive; execution largely stays with you.

5) Bluefish — Best for Brand Safety + Narrative Control at Scale (ASVO 62)

What it is: An enterprise "agentic marketing platform" spanning AI Monitoring, GEO Optimization, GEO Measurement, AI Commerce, and AI Accuracy (hallucination monitoring), across ChatGPT, Gemini, Claude, Perplexity, Copilot, and Amazon's assistant.

Funding: Raised a $43M Series B co-led by Threshold Ventures and NEA (with Amex Ventures, TIAA Ventures, Salesforce Ventures, and Bloomberg Beta), bringing total funding to $68M. Named customers include Adidas, American Express, Hearst, LVMH, and Ulta Beauty.

Pricing: Not publicly listed; sales-led, custom quote.

Ideal for: Fortune 500 brand, comms, and category teams prioritizing narrative control and brand safety across assistants.

Pros: Enterprise focus; well-funded; brand-safety/accuracy orientation; competitive "Perception Map" view.

Cons: No public pricing; no native GA4/CRM attribution, so campaign lift doesn't tie to pipeline; overkill for anyone but large enterprises.

6) Evertune — Best for Category/Consumer Brand Indexing (ASVO 60)

What it is: Brand monitoring + content strategy built on statistically rigorous sampling — its AI Brand Index combines visibility frequency and position, sampling each prompt ~100 times across 10+ models for over a million prompts per brand monthly, backed by a consumer panel. Shopping Intelligence tracks product recommendations.

Funding: Founded 2024 by Trade Desk veterans; raised a $15M Series A led by Felicis Ventures, ~$19M total.

Pricing: Custom, demo-led — no public tiers, no self-serve, no free trial. Third-party reviews consistently cite a starting floor around $3,000/month on an annual contract (roughly a $36,000 minimum commitment), scaling higher with product lines and add-ons like Shopping Intelligence.

Ideal for: Consumer categories where share-of-voice and attribute perception in AI answers matter.

Pros: Statistically significant methodology; dual-layer (foundational model vs. consumer app) insights; strong research/education; AI-retargeting activation via The Trade Desk and Index Exchange; unlimited seats and competitor tracking.

Cons: No revenue attribution; no SOC 2 listed; sales-gated with a high floor that filters out everyone below mid-market.

7) XFunnel — Conversion/Pipeline Focus (now part of HubSpot) (ASVO 53)

What it is: An AEO platform that connected AI visibility to conversion outcomes, with a free one-time audit, xFlow prompt-to-citation mapping, bot detection, and GA4.

Status change: XFunnel was acquired by HubSpot in 2025; standalone accounts are being migrated into HubSpot's ecosystem, where HubSpot AEO (~$50/month) is the successor path.

Ideal for: Teams that want tooling plus pipeline attribution — now most relevant via HubSpot.

Pros: Broad engine coverage; conversion/attribution orientation; credible logos (Fiverr, Wix, MyHeritage).

Cons: Standalone future is uncertain post-acquisition; historically opaque pricing.

8) Peec — Best Value / Fastest Ramp (ASVO 45)

What it is: A clean, fast AI visibility tracker with competitor benchmarking, prompt tracking, source/citation analysis, and transparent pricing. Berlin-based; scrapes real chat UIs rather than APIs.

Pricing (verified at peec.ai/pricing, July 2026): Starter $95/mo (50 prompts, 1 project), Pro $245/mo (150 prompts, 2 projects), Advanced $495/mo (350 prompts, 5 projects, multi-country, Looker Studio integration), plus custom Enterprise. Every self-serve tier is capped at 3 models of your choice; only Enterprise unlocks "choose from all models." Unlimited seats on every plan; daily tracking throughout; API access and SSO are Enterprise-only.

Ideal for: SMBs and agencies needing quick, affordable coverage and reporting without enterprise complexity.

Pros: Price transparency; unlimited seats; daily runs; strong source analysis; multi-country at higher tiers.

Cons: 3-engine cap on every self-serve tier — full multi-model coverage requires Enterprise; Claude and other models sit behind that custom tier; attribution runs through Looker Studio rather than native GA4; no SOC 2 listed publicly.

9) ZipTie.dev — Best Specialized AI Overviews Tracker (ASVO 44)

What it is: A focused Google AI Overviews + ChatGPT + Perplexity tracker (from the team behind SEO agency Onely) using real-browser monitoring, with content-optimization briefs and site-indexing checks.

Pricing (verified at ziptie.dev/pricing): Credit-based — Basic $69/mo (500 AI Search checks), Standard $99/mo (1,000 checks), Pro $159/mo (2,000 checks); Enterprise custom. 14-day free trial; ~15% off with annual billing. Standard plans are single-seat.

Ideal for: SEO teams that specifically need accurate AI Overviews tracking with screenshots at scale.

Pros: Best-in-class AIO accuracy via real-browser monitoring; content-gap briefs; practitioner-built.

Cons: Only three engines — no Claude, Gemini, AI Mode, Copilot, Grok, or DeepSeek; single-seat plans; ties prompt discovery to Google Search Console; limited attribution.

10) Revere — Brand & Product Affinity Monitoring (ASVO 31)

What it is: An LLM brand-intelligence platform (Brand Luminaire) focused on how models perceive, represent, and recommend your brand — brand audits, Brand Index scoring, sentiment, and Share of AI Voice — across the major engines.

Pricing: Book demo; no public pricing.

Ideal for: Brand teams exploring "AI affinity" and reputation in their category.

Pros: Framing around brand attributes, sentiment, and LLM readiness.

Cons: Opaque product coverage/pricing; no attribution; narrow public footprint.

11) Rankshift — Lightweight Tracker (ASVO 27)

What it is: A focused AI visibility tracker (Deerlijk, Belgium; founded 2025) covering ChatGPT, Perplexity, Gemini, Google AI Overviews, AI Mode, Mistral, Claude, and Meta AI, with citation/source analysis, competitor benchmarking, crawler analytics, and a Looker Studio integration. Captures answers from the UI rather than APIs.

Pricing: Credit-based — you buy a monthly bundle of credits (each AI response consumes two) and allocate them across prompts, models, and run frequency; unlimited seats and projects on every plan. A 30-day free trial is offered; agency/volume pricing is custom.

Ideal for: Early-stage teams wanting flexible AI-presence snapshots without seat or project caps.

Pros: Flexible credit model; multi-model tracking; unlimited seats/projects; crawler analytics.

Cons: Thin action layer; credit budgeting is hard to predict as you scale; limited enterprise detail.

12) RankAI.dev — AEO Content Optimizer (ASVO 26)

What it is: A developer-friendly content optimizer that generates schema.org, AI-friendly summaries, and metadata to improve citability — more "optimizer" than "monitor." Distributed through an early/founder program rather than standard SaaS tiers, so there's no public monthly price.

Ideal for: Content and web teams retrofitting pages for AI retrieval.

Pros: Practical, tactical outputs; Next.js plugin.

Cons: No LLM observability or attribution; complements, not replaces, a visibility platform.

A note on AI shopping (and why it's in flux)

  • ChatGPT: OpenAI launched Instant Checkout in late 2025 (Etsy first, Shopify next) but wound the in-chat checkout down in early 2026 after low merchant adoption, pivoting to a discovery-first model that routes shoppers to merchant apps/stores; the underlying Agentic Commerce Protocol (built with Stripe) survives.
  • Amazon: Renamed Rufus "Alexa for Shopping" on May 13, 2026 and shipped agentic buying (Auto-Buy, Buy for Me) — while fencing its store off from third-party agents and suing Perplexity over its Comet browser.
  • Perplexity & Copilot: Perplexity added shopping/checkout; Microsoft launched Copilot Checkout at NRF 2026.
  • Google: AI Mode/AI Overviews keep expanding into shopping via the Universal Commerce Protocol with Walmart, Target, Shopify, Etsy, and others.

Bottom line: the surfaces are real but the mechanics are moving monthly. If your AEO tool can't see these surfaces, it can't guide your revenue strategy. For the tactical version, read my Practical AI Shopping AEO/GEO Guide.

The bottom line

If you need one platform to monitor AI answers, act on the gaps, and prove ROI — especially across the new AI shopping surfaces — Goodie is my top pick in 2026. Pair whatever tool you choose with a rigorous program (citations + technical health + attribution), and you'll build an advantage that outlasts algorithm noise. Use my published rubric, verify the primary sources, and make the call that fits your stack.