Prompt

Looking for a platform I can use to improve llm visibility. What can you recommend?

6 observationsLast seen Oct 2, 2026

Latest observation

Oct 2, 2026PerplexityWeb search: on

For improving LLM (large language model) visibility—often called GEO (Generative Engine Optimization) or AI search visibility—the most practical platforms in 2026 are purpose-built trackers that monitor where and how your brand appears in answers from ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot.

Top platforms to consider

PlatformBest forKey strengthsTypical pricing
PromptwatchFull-stack GEO depth and revenue-linked visibilityTracks mentions, sentiment, “Share of Model,” prompt volumes, citations (incl. Reddit/YouTube), AI crawler logs, and ties AI-referred traffic to conversions; includes content gap analysis and a drafting/publishing agentMulti-engine plans; 4 engines actively tracked per project on Essential promptwatch
ProfoundEnterprise teams with large budgets and content operationsBroad model coverage, strong security, and actionable content suggestions; favored for visibility-first strategies at scale vezadigital+1Enterprise (contact sales)
Semrush AI VisibilityMarketers already using Semrush who want brand mention tracking across AITracks brand mentions, prompts, citations, sentiment, and competitor visibility across major AI platforms; integrates with existing Semrush workflows zapier+1Add-on to Semrush plans
Otterly AILow-friction entry and GEO auditingFocused LLM-only tracking across ChatGPT, Google AI Overviews, Perplexity, and Copilot; strong GEO audit features and Semrush integration nogood+1~$29/month to start nogood
AthenaHQStartups wanting visibility-to-engagement insightsGEO and visibility tracking that maps AI search presence to real engagement and conversions infrasityStartup/SMB plans
Ahrefs Brand RadarSEO teams extending into AI visibilityVisibility optimization path alongside content optimization tools; good for brands already in the Ahrefs ecosystem vezadigitalPart of Ahrefs suite

How to choose

  • If you’re just starting out and want the simplest setup: Otterly AI is frequently recommended as the lowest-friction entry point with solid GEO auditing.
  • If you already use Semrush and want minimal context switching: Semrush’s AI Visibility add-on gives you brand mention, prompt, citation, and competitor tracking inside your current stack.
  • If you need enterprise-grade coverage, security, and content workflows: Profound stands out for model coverage and content suggestions at scale.
  • If you care about tying AI visibility to traffic and revenue (not just mentions): Promptwatch is built to connect visibility metrics to AI-referred conversions and includes content agent capabilities.

Practical next step

Tell me your constraints (budget range, must-track engines like Perplexity/ChatGPT/Google AI Overviews, and whether you need content creation/publishing features). I can narrow this to 1–2 best-fit platforms and outline a 30-day rollout plan (baseline audit, priority prompts to target, and measurement setup).

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (6 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

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