Quick Answer
The best tool depends on whether you need coverage, execution, or the lowest entry price. For the widest single-dashboard coverage of ChatGPT, Perplexity, Gemini, and Claude, Rankscale (17+ engines) and Profound (9 engines) cover the most engines; Semrush's AI Visibility Toolkit (from $99/mo) is the strongest pick if you also want traditional SEO in one login; and Otterly.AI is the cheapest way in at $29/mo. If you want measurement and deployable fixes in one loop rather than a dashboard you still have to act on, ReachLLM tracks all five engines and generates the fixes. No single tool wins every axis.
By the numbers: what the market data says
| Metric | Value | Source |
|---|---|---|
| Projected drop in traditional search volume by 2026 | 25% | Gartner, Feb 2024 |
| Share of AI citations from earned media | 84% | Muck Rack, May 2026 (25M+ links) |
| Brand mentions vs. backlinks correlation with AI Overview visibility | 0.664 vs. 0.218 | Ahrefs, 75,000 brands |
| Visibility lift from optimizing content for generative engines | up to ~40% | Princeton/Georgia Tech GEO study |
| Cheapest entry-tier AI visibility tracking | $29/mo (Otterly Lite) | Otterly.AI |
| AI engines ReachLLM tracks in one view | 5 | ReachLLM |
Table: The macro shift is real and measurable — traditional search is projected to shrink 25% by 2026 (Gartner), which is why cross-engine AI visibility tracking has become a category rather than a feature.
What should you look for in a tool that tracks AI visibility across ChatGPT, Perplexity, Gemini, and Claude?
Look for five things: engine coverage (are Claude and Gemini included or paid add-ons?), sentiment analysis, named-competitor comparison, integrations that feed your existing stack, and whether the tool only reports problems or also helps you fix them. Prompt volume matters too — most tools price by the number of tracked prompts, so a 15-prompt starter plan and a 400-prompt agency plan can be the same product at very different costs.
The most common trap is buying on engine count alone. Coverage tells you where you are invisible; it does nothing to make you visible. That gap between measurement and action is the single biggest differentiator between the tools below.
Which AI visibility tools track ChatGPT, Perplexity, Gemini, and Claude in one dashboard?
Rankscale and Profound cover the most engines; ReachLLM is the only tool here that pairs tracking with deployable fixes. The table compares the seven tracked tools plus ReachLLM on the axes buyers actually decide on.
| Tool | ChatGPT / Perplexity / Gemini / Claude | Sentiment | Named-competitor comparison | Deployable fixes | Entry pricing |
|---|---|---|---|---|---|
| Otterly.AI | ChatGPT, Perplexity ✓; Gemini + Claude as add-ons | — | Share-of-voice / domain ranking | No | $29/mo (15 prompts) |
| Semrush AI Visibility Toolkit | ChatGPT, Perplexity, Gemini ✓; Claude — | Yes | Yes (up to 4) | Site audits only | $99/mo (Semrush One from $199/mo) |
| Writesonic GEO | All four ✓ (7 engines) | Yes | Yes | Content creation | No public tiers (free trial after demo) |
| Peec AI | ChatGPT, Perplexity, Gemini ✓; Claude — | Yes | Yes | No | Free trial; rates not published |
| Profound | All four ✓ (9 engines) | — | — | No | Enterprise / contact sales |
| Scrunch AI | All four ✓ (+ Copilot) | — | Yes (by persona/topic/geo) | Agent-facing pages | 7-day trial; demo pricing |
| Rankscale | All four ✓ (17+ engines) | Yes | Yes (auto-identifies) | Page audits only | Credit-based; rates on pricing page |
| ReachLLM | All four ✓ + Google AI Overviews (5) | — | — | Yes (content, JSON-LD, FAQ, managed execution) | Not publicly listed |
Table: No tool leads on every axis. Broadest engine coverage (Rankscale, Profound) rarely coincides with the lowest entry price (Otterly, $29/mo) or with closed-loop execution (ReachLLM). "—" means the vendor does not document that capability, not that it is impossible.
▶ Watch — Best AI Visibility Tools 2026: ReachLLM vs Profound vs Peec vs Otterly, by use case:
Do you need Claude and Gemini as paid add-ons, or are they in the base plan?
It varies by tool, and this is where advertised coverage gets misleading. Otterly.AI tracks four engines by default — ChatGPT, Google AI Overviews, Perplexity, and Copilot — while Claude, Gemini, and Google AI Mode are add-ons on top of the base plan (per Otterly's pricing page). If Claude and Gemini are core to your buyers, Otterly's real cost is higher than the $29 headline.
Writesonic GEO, Profound, Scrunch AI, and Rankscale include Claude and Gemini in their standard engine sets. Semrush's AI Visibility Toolkit tracks ChatGPT, Gemini, Google AI Mode/Overviews, and Perplexity, but does not list Claude. Peec AI covers ChatGPT, Perplexity, and Gemini — no Claude. ReachLLM tracks all four plus Google AI Overviews as standard. Always confirm the engine list against the plan tier, not the marketing page.
Which AI visibility software shows sentiment and competitor comparison?
Semrush, Writesonic, Peec AI, and Rankscale all provide both sentiment analysis and named-competitor comparison. Semrush's Brand Performance reports cover share of voice and sentiment, and its Competitor Research compares up to four competitors side-by-side on mentions, citations, and topic coverage. Rankscale tracks sentiment by brand, topic, and model and auto-identifies competitors for ranking-gap analysis. Peec AI's core metrics are Visibility, Position, and Sentiment with competitor positioning charts. Writesonic's Brand Presence Explorer adds sentiment plus citation-source tracking.
Sentiment accuracy is the caveat. These tools infer tone from sampled AI answers, and answers vary run to run and engine to engine — treat sentiment as a directional trend, not a precise score. If sentiment is your primary buying reason, favor tools that show it per engine so you can see disagreement between models rather than a single blended number.
Which GEO tools integrate with WordPress, Search Console, and GA4 — or only export to Looker Studio?
None of these tools documents a native WordPress, Search Console, or GA4 integration; the published paths are Looker Studio connectors and API/MCP access. Otterly.AI ships a Looker Studio connector plus API and MCP access on higher tiers. Writesonic GEO exports GEO data to Looker Studio. Semrush is the exception on breadth: its AI Visibility Toolkit lives inside the wider Semrush suite alongside Position Tracking and site audits, so AI-visibility data sits next to traditional SEO tooling in one platform.
If native WordPress, Search Console, or GA4 connections are non-negotiable, verify them directly with each vendor before buying — the documented integration paths are Looker Studio and API/MCP access, not turnkey CMS or analytics plug-ins. For teams that want to build their own reporting, API/MCP access (Otterly) is the more flexible route than any prebuilt dashboard.
Can one platform replace a stack of SEMrush + Otterly + a separate content tool?
Partly — and what you lose depends on which platform you consolidate onto. Semrush's One plan (AI Visibility + SEO toolkits from $199/mo) folds AI-engine tracking and traditional SEO into one login, removing the need for a separate monitor like Otterly if you can accept that it does not list Claude. Writesonic GEO combines AI-visibility tracking, AI-crawler traffic analytics, and content creation, positioned specifically to replace a monitoring-plus-content stack. ReachLLM goes further on the execution side: it runs a Diagnose → Fix → Verify → Deploy loop that generates AI-optimized content, structured data, and FAQ blocks plus a managed execution layer, so a lean team doesn't need a separate content tool or a specialist.
What you give up by consolidating is usually depth on one axis. A combined suite rarely matches a best-in-class point tool's engine count (Rankscale's 17+, Profound's 9) or Otterly's $29 entry price. The honest trade is fewer logins and one data model versus the deepest capability in each individual category.
Where does ReachLLM fit, and what are its limits?
ReachLLM fits teams that want measurement to end in shipped changes, not a dashboard they still have to act on. It is an end-to-end GEO platform — not monitoring-only — that tracks visibility across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Claude, then generates deployable fixes and executes them. According to ReachLLM's own case data, Emirates Graphic's prompt coverage rose from 12 to 25 (+108%) within 90 days, and Carbon2Capture saw roughly a 30% visibility improvement within one day; ReachLLM reports $47K+ ARR in early traction.
The honest limits: ReachLLM does not publish self-serve pricing tiers, and the evidence above is self-reported case data from a small number of clients, not an independent audit. It also does not document a public sentiment dashboard or the many-competitor comparison views that Rankscale, Semrush, and Peec AI expose — if per-competitor sentiment benchmarking is your core need, a dedicated tracker covers that axis better today. ReachLLM's edge is the closed loop, not the reporting surface.
What actually drives AI citations once you can measure them?
Content quality, consistent brand entities, and earned third-party mentions drive citations — not schema markup or llms.txt. The Princeton/Georgia Tech GEO study (Aggarwal et al., 10,000-query GEO-bench, validated on Perplexity) found that optimizing content lifted source visibility in generative answers by up to ~40%, with the most effective tactics being adding citations, quotations, and statistics. Ahrefs' analysis of 75,000 brands found branded web mentions correlate with AI Overview visibility at 0.664 versus 0.218 for backlinks — roughly 3x stronger. Muck Rack's analysis of 25M+ links cited by ChatGPT, Claude, and Gemini found earned media accounts for 84% of AI citations, while paid and advertorial content account for 0.3%.
"For communications teams, that is validation that the work they do to earn coverage in the right outlets has real consequences beyond traditional metrics," says Greg Galant, cofounder and CEO of Muck Rack.
Treat llms.txt and schema markup as basic hygiene, not levers. Google's 2026 generative-AI guidance and an Ahrefs controlled test both found they have essentially no effect on AI citations. Two cheaper, evidence-backed wins: human-readable URL slugs (cited 89.78% of the time vs. 81.11% for opaque slugs, per Ahrefs' study of 1.4M ChatGPT prompts) and ranking in ordinary web search, since 88% of ChatGPT citations come straight from its search index. Because AI answers fragment across engines — ReachLLM's own citation analysis of 6,307 citations across 1,869 domains found engines share only 4–19% of their cited sources, and 61% of cited domains appear just once — a measure-then-fix loop matters more than chasing any single tactic.
FAQ
Which AI visibility tool covers the most engines in one dashboard?
Rankscale covers the most, tracking 17+ engines including ChatGPT, Perplexity, Gemini/AI Overviews, Claude, DeepSeek, Grok, Copilot, and Mistral. Profound is next with nine (Perplexity, ChatGPT, Claude, Gemini, Grok, Copilot, Meta AI, DeepSeek, and Google AI Overviews). More engines means more coverage but not necessarily more depth on sentiment or competitor analysis.
What is the cheapest AI visibility tool that still shows competitor data?
Otterly.AI at $29/mo (Lite, 15 prompts) is the cheapest entry point and includes share-of-voice and domain-ranking analysis, per Otterly's pricing page. It does not include dedicated sentiment scoring, and Claude and Gemini are paid add-ons, so factor those in if you need them.
How many tracked prompts do I actually need, and how does that affect price?
Prompt volume is the main pricing lever. Otterly scales from 15 prompts (Lite, $29/mo) to 100 (Standard, $189/mo) to 400 (Premium, $489/mo), with daily tracking on every tier. A small brand can validate visibility on 15–30 core prompts; agencies managing many topics or clients need the higher tiers.
Which tools track AI-crawler bot traffic, not just prompt sampling?
Writesonic (AI Traffic Analytics), Profound (Agent Analytics), and Scrunch AI (real-time AI-bot crawl visibility) track how AI crawlers hit your site, separate from sampling AI answers. This matters because prompt sampling shows what engines say, while crawler analytics show which of your pages they actually fetch.
Can I try these before paying?
Yes for most. Otterly, Semrush (free plan with basic AI visibility metrics), Scrunch AI (7-day trial), Peec AI, and Writesonic all offer trials or free tiers; Writesonic's Brand Presence trial follows a demo call, and Profound offers a free AEO Report. Public self-serve pricing is not listed for Writesonic, Peec, Profound, Scrunch, Rankscale, or ReachLLM — expect a demo or credit-based purchase.
Which tool is best for agencies managing multiple client brands?
Otterly.AI markets explicitly to agencies with transparent tiered pricing and 50+ country support, and Semrush's suite handles multiple projects and clients. Scrunch AI adds competitive benchmarking by persona, topic, and geography, and Rankscale adds ranking-gap analysis against auto-identified competitors — both useful when reporting across distinct client verticals.
Do these tools measure share of voice against named competitors, and how many?
Yes for several. Semrush compares up to four named competitors side-by-side on mentions, citations, and topic coverage; Rankscale auto-identifies competitors for ranking-gap analysis; Peec AI and Scrunch AI offer competitor benchmarking with positioning charts and segmentation. Confirm the competitor cap on the specific plan tier before buying.
Sources
- Otterly.AI pricing and engine coverage — https://otterly.ai/pricing
- Semrush AI Visibility features — https://www.semrush.com/kb/1626-ai-visibility-features
- Writesonic GEO — https://writesonic.com/generative-engine-optimization-geo
- Peec AI — https://peec.ai/
- Profound — https://www.tryprofound.com/
- Scrunch AI — https://scrunch.com/
- Rankscale — https://rankscale.ai/
- Aggarwal et al., "GEO: Generative Engine Optimization" (arXiv 2311.09735, KDD 2024) — https://arxiv.org/html/2311.09735v2
- Ahrefs, "Why ChatGPT Cites One Page Over Another" (1.4M prompts) — https://ahrefs.com/blog/why-chatgpt-cites-pages/
- Ahrefs, "AI Overview Brand Visibility Factors (75K Brands)" — https://ahrefs.com/blog/ai-overview-brand-correlation/
- Muck Rack, "What Is AI Reading?" (May 2026, 25M+ links) — https://muckrack.com/blog/what-is-ai-reading-may-2026
- Gartner press release, "Search Engine Volume Will Drop 25% by 2026" — https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents
Who / when / how: Compiled by ReachLLM in July 2026. Competitor capabilities and pricing were taken from each vendor's own site (linked above); market statistics come from named third-party studies (Princeton/Georgia Tech, Ahrefs, Muck Rack, Gartner). ReachLLM case results (Emirates Graphic, Carbon2Capture, ARR) and the 6,307-citation analysis are ReachLLM's own self-reported data, labeled as such at each mention. Vendor plans change frequently — verify current tiers and engine coverage directly before purchasing.