Best Waikay Alternatives in 2026: 7 AI Visibility Tools Compared

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Last updated: August 10, 2026

Waikay, short for “What AI Knows About You”, is an AI brand-perception platform that monitors how ChatGPT, Gemini, Claude, Perplexity, Google AI Mode, and Microsoft Copilot describe your brand. It leans hard into perception and accuracy: a Fact Tracker to catch hallucinations, a Source Tracker for citations, Topic Reports that score your brand by topic, and GEO Action Plans that hand you optimization steps. It supports 47 languages across 100+ countries, which makes it a genuine option for international brands.

The catch is how it is metered. Almost everything in Waikay runs on credits, where one credit covers a single topic, action plan, or prompt tracked across four AI models weekly, and plans split prompts into “API” and “scraped” buckets with different allowances. That is flexible, but it makes the simple question every buyer asks, “what does it cost to track one prompt across the AI models my customers use”, surprisingly hard to answer.

This guide is for teams who want AI visibility to be the headline product with predictable unit economics. We compared 7 credible Waikay alternatives in 2026 on AI model coverage, prompt and credit economics, sentiment and citation depth, agency features, and switching cost. LLM Pulse is our top pick because it was built around LLM outputs from day one, includes five standard models with no add-on fees, and uses one flat price per prompt. We have tried to be fair about everything else.

Why teams look for Waikay alternatives

• Credit math depends on frequency. A weekly prompt across Waikay’s four tracked models uses one credit; more frequent runs use more credits.
• The four-model unit needs context. Waikay currently tracks ChatGPT, Gemini, Claude, and Sonar/Perplexity. A weekly run across all four uses one credit, while every-two-days and daily schedules use more.
• Perception-first, analytics-second. Fact Tracker and GEO Action Plans are the marquee features. Teams that want deep, historical visibility analytics (mention-level sentiment, URL-level citation history, share of voice over time) sometimes want a tool where that is the core, not a supporting act.
• USD pricing and seat limits on entry tiers. The cheapest plans cap seats, which pinches small agencies who want to add a client manager or two without jumping a tier.
• Agencies need clean white-label and per-prompt costs. When you rebill clients, “€0.66 per prompt across 5 models” is a line item you can defend. A blended credit allowance is not.

Evaluation criteria

• AI model coverage: which AI surfaces are tracked, and on which plan.
• Prompt and credit economics: can you compute a stable cost per prompt across the models your buyers use.
• Analytics depth: sentiment quality, citation tracking, share of voice, query fan-out, content tooling, models comparison.
• Agency fit: white-label, unlimited seats, multi-project, API, Looker Studio, CSV exports.
• Trial and onboarding: how fast a buyer can see value, with or without a sales call.
• Multi-language and locale: can the same prompt run across languages with country targeting.
• Integration surface: REST API, MCP, GA4, Plausible, Looker Studio, Chrome extension, exports.

Quick comparison: 7 Waikay alternatives

The thing to notice: more models on the label does not mean lower cost per prompt. Waikay advertises 6 AI engines, but the credit unit covers four per prompt per week, so all-in coverage costs more than the headline. The real comparison is cost per prompt across the models your buyers actually use, not the size of the model list.

1. LLM Pulse, the top Waikay alternative for AI-native tracking

Why it stands out

LLM Pulse is the AI visibility platform we build, designed from day one around LLM outputs rather than Google keywords or brand-perception scores. Every prompt runs across ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews, with no AI engine add-on fees and no credit pool to budget. We position the product as an all-in-one AI search platform: a clean dashboard that tells you whether you appear in AI answers, how often, in what position, with what sentiment, and which URLs the models cite when they recommend you.

The contrast with Waikay is the pricing model. Where Waikay meters topics, action plans, and prompts through a shared credit system split into API and scraped buckets, LLM Pulse gives you one number: cost per prompt across all 5 models, all seats. That is a figure you can plug straight into a per-client model and multiply without surprises.

Key features

• 5 standard AI models tracked: ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews. Every paid plan can add Claude, Copilot, Grok, DeepSeek and Alexa for Shopping (formerly Amazon Rufus) as paid extras. See Brand Visibility.
• Native sentiment analysis at mention level, so you can see whether a specific AI answer about your brand is positive, neutral, or negative. See Brand Sentiment.
• Citation tracking for every URL that AI models reference when they mention you or your competitors, with historical behaviour at URL and domain level. See Citation Sources Analysis.
• Share of voice against named competitors, computed weekly, with a Top 4 plus Others breakdown that scales to crowded markets. See Share of Voice.
• Models Comparison and Query Fan-Out for retrieval subqueries exposed in an AI response. See Models Comparison and Query Fan-out.
• GEO Writer that turns the data into publish-ready briefs and content, so insight becomes output without a separate editor. See GEO Writer.
• Looker Studio, REST API, CLI, webhooks, and MCP integration. See Looker Studio, API Access, and MCP.
• Web analytics integration with GA4, Plausible, Piano, PostHog, Adobe, and Google Search Console, plus an app store tracking module and a Chrome Extension Query Detector for spotting AI overlays in the wild. See Web Analytics Integration and App Tracking.
• Full white-label, unlimited team members, CSV and Excel exports, and a free AI Visibility Report you can run before committing to a plan.

Watch-outs

LLM Pulse is not a brand-perception suite in the Waikay mold. There is no standalone Fact Tracker product, and recommendations are framed as content briefs and GEO guidance rather than topic-level action plans with a checklist. The default coverage is 5 models versus Waikay’s 6, with Claude and Copilot available as paid add-ons rather than part of the base model set. Starter at 50 prompts is enough for a single brand or pilot, but agencies tracking 5+ clients will move to Growth or Scale within the first month.

Pricing

Starter €49/month (50 prompts), Growth €99/month (150 prompts), Scale €299/month (450 prompts), Scale+ €599/month (1,200 prompts), Scale++ €1,199/month (2,400 prompts), Enterprise custom. LLM Pulse includes 5 standard AI models, citations, share of voice, MCP, CSV and Excel exports, and unlimited team members. Sentiment analysis, the REST API, and the Looker Studio connector are available too. Cost per prompt on Scale is €0.66 across all 5 models, all seats. Full pricing at llmpulse.ai/pricing.

2. Profound, enterprise AI visibility

Key features

Profound is the well-funded enterprise option in the category, with deep AI answer analytics, agent traffic insights, and a polished dashboard built for large in-house teams. It tracks brand presence across the major AI engines and layers on conversation-level analysis, with coverage expanding as you move up the tiers.

Watch-outs

The Starter plan tracks ChatGPT only, so the full multi-model picture lives on higher tiers. Pricing climbs quickly, but Starter is self-serve and Growth has a free trial path; Enterprise remains sales-led. Agency white-label is not the core focus.

Pricing

Starter is $99/month billed yearly for ChatGPT, Growth is $399/month billed yearly for ChatGPT, Perplexity, and Google AI Overviews, and Enterprise is custom.

3. Otterly, entry-level AI brand visibility

Key features

Otterly is one of the cheapest ways into AI brand tracking, covering Google AI Overviews, ChatGPT, Perplexity, and Copilot. It does the core job well: prompt tracking, mention monitoring, and basic competitor comparison, with a friendly free trial.

Watch-outs

Model coverage on the entry tier is narrower than Waikay’s, and the deeper analytics (mention-level sentiment, URL-level citation history, query fan-out, content generation) are not the focus. It suits a single brand more than a multi-client agency.

Pricing

From $29/month on Lite, with higher tiers for more prompts and models. Free trial available.

4. Scrunch AI, enterprise GEO with agent analytics

Key features

Scrunch AI targets the enterprise end of generative engine optimization, pairing AI answer tracking with analytics on how AI agents and crawlers interact with your site. It is a fit for large organizations that treat AI search as a board-level channel and want infrastructure-grade reporting.

Watch-outs

Pricing is custom and sales-led, with no quick self-serve entry. Smaller teams and agencies that want to start tracking a handful of brands this week will find the procurement cycle heavy compared to Waikay or LLM Pulse.

Pricing

Custom, quoted per contract. Expect a demo and an enterprise commitment.

5. Trakkr, comparison-led tracking with a 14-day trial

Key features

Trakkr advertises eight AI engines on its paid plans: ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Meta AI, and Google AI Overviews. A 14-day trial is available for evaluation.

Watch-outs

Growth covers one brand. Scale covers ten brands and adds API access and unlimited seats. More models is not automatically more insight; depth per model matters more.

Pricing

Growth is $100/month for one brand and 50 prompts. Scale is $500/month for ten brands and 50 prompts per brand. Enterprise pricing is custom.

6. AthenaHQ, GEO workflow for in-house teams

Key features

AthenaHQ is a generative engine optimization platform aimed at in-house marketing teams, blending AI visibility tracking with workflow and recommendations. It covers the major AI engines and frames the product around an end-to-end GEO process, which overlaps with Waikay’s action-plan angle.

Watch-outs

It is more of an in-house team tool than an agency white-label platform. Per-prompt economics and the Looker Studio or MCP integration surface are not as developed as LLM Pulse for agencies rebilling multiple clients.

Pricing

Essential is free with 300 credits. Starter is $295/month for 3,600 credits, and Enterprise pricing is custom.

Other alternatives worth considering

If your remit also includes classic SEO, blended tools like SE Ranking or Rankability fold AI tracking into a Google SERP suite. For pure brand-monitoring across the web (not just AI answers) you might look at established media-monitoring vendors. And if you want a quick, no-signup read on where you stand across the AI models, run the free LLM Pulse AI Visibility Report before you commit to any paid plan.

Decision framework

Waikay vs LLM Pulse, head to head

The short version: if AI visibility is your primary job and you want predictable per-prompt economics, LLM Pulse gives you a deeper analytics stack and a cleaner cost model. If your priority is brand-perception accuracy, fact-checking, and topic-level action plans across a wide language set, Waikay’s framing fits well. Both are credible; they optimize for different questions.

Cost savings analysis

Here is the rough monthly cost picture for a brand tracking 50 prompts across the major AI surfaces, plus an agency tracking 10 clients with 30 prompts each (300 prompts total).

Anchor on cost per prompt. On LLM Pulse Scale, €299 for 450 prompts is €0.66 per prompt across 5 AI models, unlimited seats. That is a stable unit of comparison whatever your prompt count, and it survives multiplication by client and month without surprises. Waikay can be cheaper at the very bottom, but the credit-and-bucket structure means your effective per-prompt cost shifts with how many models and topics you track.

Switching from Waikay to LLM Pulse

Migration takes less than a day for a single brand and a few days for a 10-client agency.

1. Export your prompt and topic list from Waikay. Most teams have 30 to 150 prompts per brand in production.

2. Run a free AI Visibility Report on your domain for a baseline across the 5 AI models before you commit.

3. Choose an LLM Pulse plan. Create projects, import prompts as CSV, and name competitors. The first run provides a baseline across all five AI models with no credits to allocate.

4. Connect Looker Studio. Clone the LLM Pulse template, point it at your project, and a live agency-ready dashboard renders. CSV and Excel exports also available.

5. For agencies, add white-label. Custom domain, custom branding, and client-level permissions, through an agency or enterprise arrangement. See llmpulse.ai/agencies.

6. Decide whether to keep Waikay for fact-checking. If hallucination detection and topic-level action plans are central to your workflow, some teams keep Waikay for that and move core visibility analytics to LLM Pulse.

Summary and final recommendation

Waikay is a well-thought-out brand-perception tool with genuine strengths: six-model coverage, fact and source tracking, GEO action plans, and serious multilingual reach. If your central question is “what do the AI models get right and wrong about my brand, and what should I do about it”, it earns a look.

But if AI visibility is the analytics job your team needs to answer well in 2026, with predictable per-prompt economics you can rebill to clients, LLM Pulse is the best Waikay alternative: 5 standard AI models, URL-level citation history, query fan-out, GEO Writer, MCP, unlimited team members, mention-level sentiment, a Looker Studio connector, and a REST API, with transparent per-prompt pricing and no credit pool to budget. Start with the free AI Visibility Report or see current plans at llmpulse.ai/pricing.

If you need enterprise pedigree and have the budget, Profound is the well-funded option. If you want a broad model line-up with a 14-day trial, Trakkr is a lighter entry point. If multilingual self-serve tracking is your priority, LLM Pulse is the closest like-for-like to Waikay’s language breadth.