7 Best seoClarity ArcAI Alternatives

seoClarity ArcAI helps brands understand how their content performs inside AI search results. But if you’ve tried it, you know it’s not always the easiest fit.

You might find that ArcAI’s pricing or enterprise focus puts it out of reach for smaller teams.
You might wish for faster updates, more accessible prompt data, or simpler visibility reporting.
Or maybe you want tools that specialize in tracking ChatGPT, Perplexity, and Gemini responses without the complexity of a full SEO suite.

If any of that sounds familiar, you’re in the right place.
In this article, we’ll look at the seven best alternatives to seoClarity ArcAI — tools that help you monitor your brand’s presence inside AI search engines, compare results across models, and find the best fit for your workflow and budget in 2025.

TL;DR

Analyze: The best and most comprehensive alternative to seoClarity ArcAI for ai search visibility tracking

Most GEO tools tell you whether your brand appeared in a ChatGPT response. Then they stop. You get a visibility score, maybe a sentiment score, but no connection to what happened next. Did anyone click? Did they convert? Was it worth the effort? 

These tools treat a brand mention in Perplexity the same as a citation in Claude, ignoring that one might drive qualified traffic while the other sends nothing.

Analyze connects AI visibility to actual business outcomes. The platform tracks which answer engines send sessions to your site (Discover), which pages those visitors land on, what actions they take, and how much revenue they influence (Monitor). You see prompt-level performance across ChatGPT, Perplexity, Claude, Copilot, and Gemini, but unlike visibility-only tools, you also see conversion rates, assisted revenue, and ROI by referrer. 

Analyze helps you act on these insights to improve your AI traffic (Improve), all while keeping an eye on the entire market, tracking how your brand sentiment and positioning fluctuates over time (Govern).

Your team then stops guessing whether AI visibility matters and starts proving which engines deserve investment and which prompts drive pipeline.

Key Analyze features

• See actual AI referral traffic by engine and track trends that reveal where visibility grows and where it stalls.

• See the pages that receive that traffic with the originating model, the landing path, and the conversions those visits drive.

• Track prompt-level visibility and sentiment across major LLMs to understand how models talk about your brand and competitors.

• Audit model citations and sources to identify which domains shape answers and where your own coverage must improve.

• Surface opportunities and competitive gaps that prioritize actions by potential impact, not vanity metrics.

Here are in more details how Analyze works:

See actual traffic from AI engines, not just mentions

Analyze attributes every session from answer engines to its specific source—Perplexity, Claude, ChatGPT, Copilot, or Gemini. You see session volume by engine, trends over six months, and what percentage of your total traffic comes from AI referrers. When ChatGPT sends 248 sessions but Perplexity sends 142, you know exactly where to focus optimization work.

Know which pages convert AI traffic and optimize where revenue moves

Most tools stop at "your brand was mentioned." Analyze shows you the complete journey from AI answer to landing page to conversion, so you optimize pages that drive revenue instead of chasing visibility that goes nowhere.

The platform shows which landing pages receive AI referrals, which engine sent each session, and what conversion events those visits trigger. 

For instance, when your product comparison page gets 50 sessions from Perplexity and converts 12% to trials, while an old blog post gets 40 sessions from ChatGPT with zero conversions, you know exactly what to strengthen and what to deprioritize.

Track the exact prompts buyers use and see where you're winning or losing

Analyze monitors specific prompts across all major LLMs—"best Salesforce alternatives for medium businesses," "top customer service software for mid-sized companies in 2025," "marketing automation tools for e-commerce sites." 

For each prompt, you see your brand's visibility percentage, position relative to competitors, and sentiment score.

You can also see which competitors appear alongside you, how your position changes daily, and whether sentiment is improving or declining.

Don’t know which prompts to track? No worries. Analyze has a prompt suggestion feature that suggests the actual bottom of the funnel prompts you should keep your eyes on.

Audit which sources models trust and build authority where it matters

Analyze reveals exactly which domains and URLs models cite when answering questions in your category. 

You can see, for instance, that Creatio gets mentioned because Salesforce.com's comparison pages rank consistently, or that IssueTrack appears because three specific review sites cite them repeatedly.

Analyze shows usage count per source, which models reference each domain, and when those citations first appeared.

Citation visibility matters because it shows you where to invest. Instead of generic link building, you target the specific sources that shape AI answers in your category. You strengthen relationships with domains that models already trust, create content that fills gaps in their coverage, and track whether your citation frequency increases after each initiative.

Prioritize opportunities and close competitive gaps

Analyze surfaces opportunities based on omissions, weak coverage, rising prompts, and unfavorable sentiment, then pairs each with recommended actions that reflect likely impact and required effort. 

For instance, you can run a weekly triage that selects a small set of moves—reinforce a page that nearly wins an important prompt, publish a focused explainer to address a negative narrative, or execute a targeted citation plan for a stubborn head term.

Peec AI: best seoClarity ArcAI alternative for multi-engine visibility and competitor insights

Key Peec AI standout features

• Multi-engine tracking across ChatGPT, Perplexity, Gemini, Claude, and AI Overviews

• Prompt-level snapshots that save full answers with citations and positions

• Competitor share-of-voice with trends by engine, topic, and time window

• Exports and API access, plus a Looker Studio connector for reporting

• Historical timelines, alerts, and scheduled runs to catch changes fast

Peec solves a daily headache for busy teams that check several AI engines by hand. The platform pulls results into one clean view and stores the exact answer for every prompt you test. You see where your brand appears, which words triggered the mention, and which source fed the answer, which makes next steps very clear. The snapshot gives proof you can show to leaders, because it captures the full block, the placement, and the citation that pointed to the page.

Peec also leans into competitive clarity rather than vague scores. You can stack your brand next to rivals and see share-of-voice by engine, topic, and time. That view helps you decide whether to improve a current page or build a new page. Agencies can use the same view during pitches, because it shows wins and gaps without extra slides. Compared to ArcAI, Peec feels lighter and faster to set up, while still giving deep context tied to each prompt and answer.

That said, Peec leaves gaps that matter for some teams. The tool does not act like a full SEO suite with audits, crawls, or automatic fixes. It will not tell you technical steps to take on a page, and it will not write content for you. It focuses on visibility and proof inside AI answers, so you must connect insights to your SEO play yourself.

You should also weigh needs around data, scale, and control. Peec does not tie AI mentions to traffic or leads inside the product today, so ROI tracking will need help from your analytics stack. Enterprise buyers may want SSO, strict controls, or compliance badges that are still evolving for newer tools. Coverage can vary by engine or region as models change, and plans with credits can feel tight for heavy daily runs.

Peec AI vs seoClarity ArcAI (quick comparison)

When to pick Peec AI: You want a focused visibility tool that centralizes AI answers, saves proof, and compares rivals without carrying a full suite.
When to pick ArcAI: You want AI visibility glued to enterprise SEO workflows, technical modules, and governance in one place.

Rankability AI Analyzer: best seoClarity ArcAI alternative for integrated SEO + AI visibility

Key Rankability AI Analyzer standout features

• Unified SEO and AI workspace combining optimization and visibility tracking

• Multi-engine coverage across ChatGPT, Gemini, Claude, Perplexity, and AI Overviews

• Actionable recommendations to boost AI citations and visibility

• Competitor benchmarking with prompt-level insight and share-of-voice trends

• Historical tracking and alerts that flag visibility changes over time

Rankability’s AI Analyzer extends its SEO platform into the emerging world of AI-driven discovery. It brings together traditional SEO optimization tools—like content briefs, topic scoring, and keyword analysis—with AI visibility data from engines such as ChatGPT, Gemini, and Perplexity. The goal is to help teams understand not only how their pages rank in Google, but also where their content shows up in AI-generated answers. By keeping everything in one workspace, Rankability reduces tool fatigue and unifies both SEO and GEO (Generative Engine Optimization) data under one view.

Unlike single-purpose AI visibility trackers, Rankability doesn’t stop at showing mentions. It adds optimization intelligence—recommendations and audits designed to help increase your AI citations over time. The product’s dashboards let users compare visibility between AI engines, benchmark against competitors, and trace visibility trends back to specific content updates. This “insight-to-action” feedback loop makes Rankability stand out: you don’t just see the data; you get suggestions to improve it. For teams already using Rankability for SEO, the transition into AI visibility tracking feels natural and cohesive.

Still, Rankability AI Analyzer is a young feature and faces the challenges that come with any early-stage rollout. Its coverage across AI engines is still expanding, meaning regional and language support may vary, and refresh rates might not yet match specialized AI visibility platforms. Some modules remain in a “coming soon” phase, so enterprise users may not have full access to all integrations or reporting layers. For now, it provides visibility and analysis but may require additional tools for advanced auditing or large-scale automation.

Like most tools in this category, Rankability must contend with variability in AI answers—the same prompt can return different responses across model versions or times of day. That variability makes it essential to interpret data trends rather than single snapshots. Additionally, while Rankability excels at on-page SEO and visibility insight, it still lacks deeper technical SEO capabilities like crawls, site health audits, and backlink management. In that sense, it’s less a full-suite enterprise SEO platform and more a unified AI + content optimization environment focused on helping marketers win inside AI-generated results.

Rankability AI Analyzer vs seoClarity ArcAI (quick comparison)

When to pick Rankability AI Analyzer: You want a unified SEO and AI visibility platform that connects rankings, content optimization, and generative answer performance without leaving your workflow.
When to pick ArcAI: You need an enterprise-ready solution with mature SEO modules, deeper integrations, and proven governance at scale.

SE Ranking AI Overviews Tracker: best seoClarity ArcAI alternative for teams already using SE Ranking

Key SE Ranking AI Overviews Tracker standout features

• Tracks which of your keywords trigger Google’s AI Overviews and whether your site is cited

• Side-by-side comparison between traditional rankings and AI Overview visibility

• Competitor analysis to see which domains are cited and how often

• Historical snapshots and cached versions of AI Overviews to show changes over time

• Export-ready data that integrates with your ranking and analytics reports

SE Ranking’s AI Overviews Tracker is designed for teams that already live inside the SE Ranking ecosystem and want to add AI visibility tracking without adopting a new platform. The feature works as a native module, showing which of your keywords trigger AI-generated answers in Google’s search results and whether your domain is cited among the sources. By linking AI visibility directly to keyword tracking, the platform bridges two data worlds — organic search rankings and generative answer visibility — in a single view. This integration is valuable for marketers who need to see how often their existing SEO wins translate into presence within Google’s AI Overviews.

The tracker also helps teams visualize change over time. You can see cached versions of past AI Overviews, track whether your domain’s presence increased or decreased, and compare visibility trends against competitors. Because SE Ranking already stores your keyword, volume, and ranking data, adding AI visibility to that dataset makes it easier to find patterns — such as high-ranking pages that never appear in AI Overviews or low-ranking keywords that consistently generate citations. Everything sits in the same familiar interface, with export options that feed your external reports and dashboar

However, the AI Overviews Tracker is limited to Google’s ecosystem and does not currently monitor other AI engines such as ChatGPT, Perplexity, or Gemini. That narrow scope means it works well for teams focused on Google traffic but less so for those analyzing brand exposure across multiple generative platforms. Coverage also depends on where Google has rolled out AI Overviews; in markets where the feature isn’t live, results will be limited or absent.

There are also plan restrictions and insight limitations to note. The AIO Tracker is available only to SE Ranking’s Pro and Business users, with keyword caps (200 and 500, respectively). While SE Ranking visualizes which domains appear in AI Overviews and how often, it stops short of deep prompt-level analysis or optimization guidance. The tool is best viewed as a monitoring and benchmarking layer, not a prescriptive engine for AI SEO. Finally, visibility attribution is directional — the tracker confirms your presence in AI Overviews but cannot tie that visibility directly to traffic or conversions.

SE Ranking AI Overviews Tracker vs seoClarity ArcAI (quick comparison)

When to pick SE Ranking AI Overviews Tracker: You want an easy add-on for tracking Google AI Overviews inside your existing SE Ranking projects and don’t need multi-engine data yet.
When to pick ArcAI: You need comprehensive AI visibility tracking across engines, deeper insight per answer, and enterprise-scale reporting.

ZipTie: best seoClarity ArcAI alternative for simple, lightweight AI Overview monitoring

Key ZipTie standout features

• Monitors brand mentions and citations in Google AI Overviews, ChatGPT, and Perplexity

• AI Success Score that blends mentions, sentiment, and citations into one visibility metric

• Competitive benchmarking that shows which domains are cited most often for tracked queries

• Trend tracking and cached AI Overview snapshots to monitor changes over time

• Keyword tagging, filtering, and query generator to simplify prompt management

ZipTie is a lightweight AI visibility tracker designed for marketers who want clarity without complexity. You list the queries you care about—or let ZipTie generate them—and the platform checks which of those queries trigger AI Overviews and where your brand appears. Each result includes whether your site was cited, mentioned, or ignored, helping you see how Google’s and other AI engines interpret your authority. Instead of overwhelming you with raw data, ZipTie distills this visibility into a single AI Success Score, combining mentions, sentiment, and citations so you can tell at a glance whether you’re gaining or losing ground.

This simplicity is ZipTie’s biggest strength. The setup is fast, and daily checks run automatically, meaning teams can focus on insight rather than configuration. The dashboard visualizes share-of-voice and trends clearly, showing whether visibility in AI Overviews is climbing or slipping. You can also compare your score against competitors to understand who dominates key prompts and by how much. Because ZipTie caches snapshots of past AI Overviews, you can literally see what the summaries looked like last week or last month—a rare capability among lighter tools.

Still, ZipTie’s focus on simplicity means trade-offs. It specializes in monitoring, not optimization. While it shows where your brand appears, it doesn’t recommend how to improve or rewrite pages for stronger AI visibility. Compared to larger AI visibility platforms like seoClarity’s ArcAI or Peec, ZipTie’s engine coverage and depth of analysis are narrower—it emphasizes Google AI Overviews and just a few generative models rather than the full landscape.

There are also practical limits to consider. The platform hasn’t disclosed its scaling thresholds or query volume caps, and visibility may fluctuate in regions where Google’s AI Overviews are still rolling out. Because generative answers shift with each model update, metrics should be interpreted as directional trends rather than fixed ranks. ZipTie itself cautions that AI visibility is inherently fluid, making its historical snapshots useful for context but not for precise measurement.

ZipTie vs seoClarity ArcAI (quick comparison)

When to pick ZipTie: You want a fast, visual way to check your brand’s presence in Google AI Overviews and key AI engines without managing a heavy SEO platform.
When to pick ArcAI: You need deep, multi-engine tracking, prompt-level accuracy, and advanced reporting built for enterprise SEO and analytics teams.

Profound: best seoClarity ArcAI alternative for enterprise-level AI visibility and compliance

Key Profound standout features

• Multi-engine coverage across ChatGPT, Gemini, Perplexity, and Google AI Overviews

• “Answer Engine Insights” module with mentions, citations, and share-of-voice tracking

• “Agent Analytics” that monitors how AI systems crawl and interpret your content

• “Prompt Volumes” and “Conversation Explorer” revealing real user queries and demand signals

• Enterprise-grade infrastructure with SOC 2 Type II certification, SSO, and SLA-backed support

Profound is a high-end AI visibility and generative search analytics platform built for enterprise brands that need precision, security, and proof. It helps large organizations understand where their content appears across AI-powered engines such as ChatGPT, Perplexity, Gemini, and Google’s AI Overviews, while meeting compliance and data-governance standards. Its “Answer Engine Insights” module tracks mentions, citations, and share of voice, showing how AI models reference your pages and which competitors appear alongside you. Profound doesn’t just surface visibility; it layers in behavioral data, monitoring how AI crawlers and bots interact with your site through its “Agent Analytics” feature — a rare capability among visibility tools.

What makes Profound stand out in the enterprise space is the combination of deep analytics and operational rigor. The platform is SOC 2 Type II certified, supports SSO through SAML or OIDC, and includes automated backups with guaranteed uptime and response SLAs. Its “Prompt Volumes” and “Conversation Explorer” modules expose what real users are asking across AI systems, turning visibility tracking into a source of market intelligence. Combined with its Google Analytics integration, Profound ties visibility data to traffic and conversions, helping teams quantify the business impact of AI search. For global brands in regulated industries — finance, SaaS, healthcare — Profound’s structure offers the kind of compliance and reliability smaller platforms simply can’t match.

That said, Profound’s enterprise-grade approach comes with trade-offs. Its sophistication and security make it expensive and less approachable for smaller teams. The setup and onboarding require time and technical resources to connect multiple modules and data sources. For organizations without dedicated analytics staff, the platform’s depth may feel overwhelming at first. Additionally, as a relatively new player (founded in 2024), parts of its coverage and regional support are still evolving, meaning certain AI engines or locales might not yet deliver full reporting fidelity.

Finally, like any platform reliant on rapidly changing AI ecosystems, Profound’s accuracy depends on the stability of underlying models and APIs. As ChatGPT, Gemini, and Google Overviews evolve, Profound must constantly adapt its crawling and attribution logic to maintain precision. For large enterprises with the resources to support it, this is a fair tradeoff for transparency, reliability, and control — but for leaner teams, it may feel like more machine than they need.

Profound vs seoClarity ArcAI (quick comparison)

When to pick Profound: You need a secure, compliance-focused AI visibility platform that scales globally, offers full coverage across AI engines, and provides deep analytics for leadership reporting.
When to pick ArcAI: You want strong AI visibility within a broader SEO platform that’s easier to deploy and maintain across multiple teams.

AthenaHQ: best seoClarity ArcAI alternative for GEO (Generative Engine Optimization) strategy

Key AthenaHQ standout features

• GEO platform purpose-built for visibility in ChatGPT, Perplexity, Gemini, Claude, and other AI engines

• Real-time monitoring of brand mentions, citations, and prompt-level performance across AI assistants

• “Conversation Explorer” and “Prompt Volumes” modules for understanding live user demand

• Actionable insights with visibility improvement recommendations, not just reporting

• Agent analytics that reveal how AI models crawl and reference your content

AthenaHQ positions itself as a GEO (Generative Engine Optimization) platform that helps brands take control of how they appear in AI-generated answers. Instead of focusing on keyword rankings, AthenaHQ maps how generative engines interpret, cite, and present your content across multiple platforms—from ChatGPT and Perplexity to Gemini and Claude. The platform monitors mentions, citations, and brand placement, translating AI visibility into a set of metrics teams can measure and improve. For marketers dealing with volatile AI surfaces, AthenaHQ bridges the gap between visibility data and action steps.

What makes AthenaHQ distinct is its focus on visibility by geography, model, and topic—an angle most other tools overlook. Through modules like Conversation Explorer and Prompt Volumes, the platform shows which questions are trending across regions and how different engines respond. It goes beyond reporting by offering optimization insights, suggesting how to tweak content, metadata, or prompts to improve inclusion in generative answers. The system’s speed also stands out: AthenaHQ claims it can ingest millions of AI responses, map citations, and return optimization suggestions in minutes. For mid-sized and enterprise teams building GEO strategies, it combines broad AI engine diversity with focused recommendations.

Still, AthenaHQ’s newness introduces expected growing pains. Its integrations, stability, and reporting layers are expanding but not yet as battle-tested as mature players like Profound or seoClarity ArcAI. Documentation around APIs, CMS integrations, and automation remains thin, which may slow large-scale adoption. Additionally, because the product evolves alongside fast-changing AI engines, data consistency can fluctuate—what appears in ChatGPT one week may differ the next.

AthenaHQ also skews toward the premium segment, reflecting its enterprise-ready design and GEO depth. Pricing tiers include features like daily prompt monitoring and enterprise support, putting it beyond reach for smaller agencies or solo marketers. In some regions or industries where AI Overviews are still limited, tracking may produce sparse data. These limitations are common to emerging GEO platforms, but AthenaHQ’s roadmap and investor backing suggest rapid progress toward stability and integration maturity.

AthenaHQ vs seoClarity ArcAI (quick comparison)

When to pick AthenaHQ: You want a cutting-edge GEO platform that turns generative AI visibility into actionable insights and helps you optimize presence across multiple engines and regions.
When to pick ArcAI: You prefer mature, enterprise-grade visibility tracking fully embedded within a traditional SEO and analytics ecosystem.

LLMrefs: best seoClarity ArcAI alternative for lightweight citation and reference tracking

Key LLMrefs standout features 

• Tracks citations and brand mentions across ChatGPT, Perplexity, Gemini, and other major AI engines

• Proprietary LLMrefs Score (LS) that aggregates citation and visibility performance into a single KPI

• Keyword-based tracking system for brand or product terms instead of full prompt-level input

• Competitor benchmarking to compare citation frequency and share of references

• Built-in llms.txt generator to help optimize your site for AI crawlers and citations

LLMrefs is a lightweight AI visibility tool built for teams that just want clear answers to a simple question: When does an AI engine cite my brand? It monitors references to your site across ChatGPT, Gemini, and Perplexity, logging every mention or citation associated with your tracked keywords. Rather than flooding you with dashboards or complex prompt datasets, LLMrefs condenses visibility data into one easy-to-read metric — the LLMrefs Score (LS) — which quantifies how often and how visibly your content appears across models. For marketers who want a “set it and see it” view of AI citations, this simplicity is the product’s defining advantage.

Beyond raw tracking, LLMrefs adds useful context for competitive benchmarking. You can see which domains are being cited most often for the same topics you target, how your LS changes over time, and whether your overall AI visibility trend is rising or falling. The inclusion of an llms.txt generator hints at a thoughtful touch — it gives you the means to guide AI crawlers, helping them better understand your content structure. This makes LLMrefs a tool that not only reports on your AI search footprint but also supports small technical steps toward improving it. For startups or smaller SEO teams, it’s an affordable way to monitor AI citation health without taking on the cost or complexity of enterprise suites like ArcAI or Profound.

Still, LLMrefs’ minimalist design comes with trade-offs. It focuses purely on citation-level data, so it lacks deep insight into why your content appears or what you can do to improve visibility. There are no prompt-level breakdowns, sentiment analysis, or AI agent tracking modules; it’s more of a “visibility log” than a full analytics environment. Because data updates are weekly for lower tiers, teams tracking fast-moving queries might find it too slow to catch short-term changes. The lighter framework also limits scalability — while it’s great for small keyword sets, larger enterprise projects may find its regional coverage, automation options, or integration depth insufficient.

In short, LLMrefs is ideal for marketers who want clarity, not complexity. It’s an affordable way to see whether your site is being cited by AI engines — but if you need deeper trends, multi-engine analysis, or full optimization guidance, you’ll likely need a more advanced GEO or visibility platform to complement it.

LLMrefs vs seoClarity ArcAI (quick comparison)

When to pick LLMrefs: You want a fast, affordable way to know when and how your brand is cited by AI models without deep analytics or complex dashboards.
When to pick ArcAI: You need an advanced, enterprise-ready system with granular visibility, optimization recommendations, and scalable AI tracking.