5 Best AI Visibility Platforms for PR And SEO Agencies

Ok, so your clients have started asking questions such as:

• “Are we showing up in ChatGPT?”

•  “Why does Perplexity mention our competitor and not us?”

•  “Is AI stealing our traffic?”

Now you’re looking for AI visibility tools that help you answer those questions with data — not guesses.

In this article, we’ll break down the five best AI visibility tools for PR and SEO agencies, analyzing where each one fits in your stack: which platform helps you benchmark (Scrunch), which one fixes the issues (AthenaHQ), which one tracks crawlers and prompt data (PromptWatch), and which one strengthens your content foundation (Surfer).

Analyze: The most comprehensive AI visibility platform for PR & SEO agencies

Analyze is the only platform in this list that treats AI visibility as an accountable growth channel—measuring what models say, revealing the sources that shape those answers, and attributing the traffic and conversions that follow, something very few do. It closes the loop between answer engines and business outcomes, so agencies can decide what to produce next, where to influence citations, and how to prove impact without resorting to vanity screenshots or speculative scores.

Key ANALYZE features

• See actual AI referral traffic by engine and model.

• See the pages that receive that traffic, which model it comes from, and which pages contribute conversions or qualified actions.

• Track brand presence, rank, and sentiment by prompt across the major models, and watch movement daily with zero manual replay.

• Audit citations and sources models use, including competitor domains, and target the outlets that will actually shift answers.

• Discover high-intent prompt opportunities where you are absent or weak, then prioritize actions that move both visibility and revenue.

Here’s more details about what Analyze allows you to do:

Prove impact by attributing AI referrals to traffic and conversions

Analyze first answers the question leaders actually ask: which answer engines send meaningful sessions that become pipelines. 

The platform records visits initiated through ChatGPT, Perplexity, Claude, Copilot, and Gemini, then ties those sessions to key events, so you can separate casual curiosity from intent that advances deals. 

Trend lines show whether a client’s engine mix is shifting, which prevents teams from chasing anecdotes or headlines. Once you can point to sessions and conversions with confidence, the next practical question becomes obvious: where do those valuable visits land.

Pinpoint the pages that capture AI traffic and revenue

The landing-page view reveals the URLs that absorb AI-driven demand, the engines that deliver those visitors, and the pages that actually convert. 

That picture turns weekly planning into a focused exercise because it shows winners worth doubling down on, underperformers that need structure or clarity, and experiments that never earned model attention. 

Editorial leaders now have a precise queue of pages to improve, engineering sees technical tasks that raise legibility for models, and PR understands which onsite narratives deserve amplification. With destinations clarified, teams can address the driver behind those visits—namely, the prompts that trigger inclusion and the positions that govern answer share.

Monitor and lift brand presence by prompt across models

Analyze tracks the high-intent prompts that shape your addressable demand and reruns them across engines daily, which surfaces presence, position, and sentiment movement you can actually act on. 

When a prompt rises, falls, or shifts sentiment, the team knows whether recent work improved the answer, missed the mark, or failed to register, and can plan the next iteration accordingly. 

Content strategy becomes surgical because it now aligns to the exact language buyers use and the specific positions models present. Those movements also raise a critical follow-on question that determines durable gains: which sources are models citing when they choose those answers.

Take control of citations and shift the sources models trust

The citations map exposes the domains and specific pages models rely on, how frequently those sources appear, and where competitors enjoy structural advantages. 

PR can now prioritize outreach that earns inclusion inside the sources models already trust, while SEO tightens entity signals and refreshes pages that models still quote with stale information. 

Suggested competitors appear when their domains begin influencing answers, which creates early warning before narratives set hard. With sources identified and on-site fixes queued, the operating plan needs a clear list of moves that will close the most valuable gaps first.

Discover and act on high-intent prompt opportunities

The opportunities view compiles prompts and themes where your brand remains absent, under-ranked, or sentiment-dragged, and links each gap to the competitors currently filling it. 

That list becomes the shared backlog for every function: content receives briefs tied to specific prompts and engines, PR targets the domains that feed those answers, and engineering ships improvements that increase model legibility. As actions land, the same dashboard validates movement in visibility, traffic, and conversions, which lets the team reallocate effort toward the next highest-leverage gap without guesswork.

Taken together, these steps create one continuous cadence: prove which engines drive qualified sessions, strengthen the pages that convert those sessions, track the prompts that govern demand, shift the sources models trust, and execute the prioritized opportunities that unlock the next tranche of growth.

Scrunch AI – best for brand-level visibility and benchmarking

Key Scrunch AI standout features for agencies

• Multi-client workspaces and granular permissions that let agencies manage dozens of brands without data overlap.

• AI answer tracking across ChatGPT, Perplexity, and Claude, with historical snapshots for before-and-after reporting.

• Competitive share-of-voice benchmarking that visualizes which brands dominate key AI prompts.

• Misrepresentation alerts that flag when AI models describe a brand incorrectly or cite outdated content.

• Region and language segmentation for agencies managing global clients with localized AI exposure.

Scrunch AI helps agencies see how the world’s largest AI assistants actually talk about their clients. It collects and analyzes the real text responses produced by ChatGPT, Claude, Gemini, and others — then organizes that information by topic, source, and accuracy. This lets your team answer the kinds of questions clients are beginning to ask: “How often does ChatGPT mention us compared to Competitor X?”, “Are our new product pages being cited yet?”, or “Why is Perplexity still referencing our old pricing?”

For SEO agencies, Scrunch bridges the growing gap between traditional rankings and AI-driven visibility. Instead of reporting only on SERP performance, you can show where clients stand in AI-generated search — a new layer of organic influence. 

For PR agencies, the value shifts toward brand authority tracking. You can measure message consistency, detect misinformation, and prove how press coverage or thought-leadership content changes brand representation in AI summaries. That ability to turn abstract “AI visibility” into measurable proof gives agencies a way to justify strategy shifts and upsells to clients who are worried about being invisible in LLM-driven search.

Scrunch’s biggest differentiator is that it doesn’t just show mentions — it shows context. You can see not only whether your client appears in AI answers but also how they’re being described, which sources are influencing that output, and how that portrayal changes over time. This kind of insight is what clients expect from an expert partner, not a vendor. It means you can walk into every meeting with concrete examples, not theories: showing the actual AI answer text, the misattributed sources, and the pages that need updating.

That said, Scrunch is primarily a visibility and insight layer. It points out where AI understanding diverges from reality, but it doesn’t fix the content or implement structured data. 

For agencies, that’s a double-edged sword. It keeps the platform lightweight and fast, but it also means you must integrate its insights into your existing SEO or content workflows to drive change. The most successful agencies pair Scrunch with tools like Surfer or Schema markup generators to close that loop — turning visibility data into visible results.

Another limitation is coverage and readiness. Some assistants (like Microsoft Copilot or Google’s AI Overviews) are only partially supported, and its “Agent Experience Platform” — a structured mirror of your content built for AI crawlers — is still in private rollout. Agencies should treat that as a roadmap feature rather than a current deliverable. Pricing can also stretch smaller teams, especially if most of your clients need simple presence tracking instead of full benchmarking. But when positioned correctly, Scrunch easily pays for itself: it gives you a new, differentiated deliverable that no client can get from legacy SEO reporting — proof of how visible their brand really is in the AI era.

In short, Scrunch equips agencies to lead a new kind of visibility conversation. It helps you translate AI behavior into actionable advice, turn brand monitoring into strategy, and answer client questions that most competitors can’t yet measure. Whether your agency focuses on search, PR, or content strategy, Scrunch lets you see — and show — how your clients exist inside the minds of AI models. That clarity is fast becoming the new currency of authority.

AthenaHQ – best full-stack GEO platform for agencies

Key AthenaHQ standout features for agencies

• Visibility tracking across major LLMs (ChatGPT, Claude, Gemini, Perplexity, and Copilot) with side-by-side comparison views

• Built-in citation and authority intelligence that identifies which URLs or entities models pull from

• On-page and off-page GEO analysis that bridges technical optimization and AI perception

• Dedicated GEO specialist and white-glove setup for premium agency onboarding

• Unlimited seats, role-based access control, and multi-client workspace management for large-scale agency teams

AthenaHQ was built with the ambition of being the operating system for AI visibility, not just a monitoring dashboard. Where Scrunch focuses on how brands are represented, AthenaHQ goes one step deeper — it helps you understand why. The platform doesn’t just capture AI answers; it ties those answers back to the structural and content-level signals that shape how models interpret a site. This makes it an analytical tool for agencies that want to move beyond reporting symptoms and start diagnosing the underlying technical or semantic issues that cause invisibility in AI search.

For SEO agencies, this diagnostic depth is critical. AthenaHQ’s on-page GEO analysis highlights missing structured data, weak citation presence, or low topical authority across your clients’ content. Its off-page view extends that insight by showing how LLMs associate external sources with your client’s brand — for instance, when ChatGPT keeps citing review sites or competitors instead of the client’s own domain. This dual analysis gives agencies something Scrunch doesn’t: a direct path from monitoring to optimization. Instead of only flagging where AI is wrong, AthenaHQ lets you engineer visibility by fixing the content and metadata that shape those AI outputs.

PR agencies, on the other hand, gain a clearer look at authority flow. AthenaHQ’s Citation Engine (ACE) surfaces the domains, articles, and mentions that contribute to how a client is represented across AI platforms. This transforms PR campaigns from reputation plays into measurable influence operations. You can now prove that your client’s media coverage, guest posts, or research citations directly influence how AI describes them — a powerful narrative when selling strategic retainers or executive reputation work.

Where AthenaHQ outplays Scrunch is in its execution layer. Scrunch tells you what’s broken; AthenaHQ gives you the levers to fix it. It connects data on visibility, content optimization, and schema markup into a unified GEO workflow, which means agencies can audit, prioritize, and implement improvements all from one environment. The platform’s dedicated GEO specialist also lowers onboarding friction — a valuable difference for agencies that lack in-house AI visibility expertise or need to scale GEO as a managed service.

Still, AthenaHQ isn’t without tradeoffs. Its breadth comes at a cost — both in pricing and learning curve. While Scrunch can be deployed in hours, AthenaHQ requires thoughtful integration into your existing SEO or analytics stack. The interface is more complex because it covers everything from structured data mapping to persona-level visibility segmentation. For smaller agencies or those without technical staff, that sophistication might feel like overkill until AI visibility becomes a larger client demand.

Pricing is another consideration. AthenaHQ clearly positions itself for enterprise and upper-tier agencies. Its dedicated support, custom credits, and SAML SSO options are powerful but reflect a premium model. If your clients only need basic brand monitoring or AI share-of-voice snapshots, Scrunch will deliver faster ROI with less overhead. But if your clients want to understand why AI models ignore or misinterpret their brand — and they expect you to fix it — AthenaHQ is the better investment.

In short, AthenaHQ is where agencies graduate when AI visibility becomes a strategic service, not just a metric. It equips teams to go beyond showing the problem — to prove they can control it. For agencies building long-term credibility in the GEO space, AthenaHQ offers both the visibility intelligence and the optimization power to turn “AI invisibility” into a new revenue stream.

PromptWatch – best for prompt-level monitoring and AI crawler insight

Key PromptWatch standout features for agencies

• Crawler analytics that reveal which AI bots (e.g. GPTBot, ClaudeBot) are visiting your site and what content they prioritize

• Brand mention and prompt monitoring across models like Perplexity, Claude, and ChatGPT, with prompt testing and variation tracking

• Traffic attribution from AI-driven sources so you can see which AI answers actually lead users to your site

• AI Agent feature that suggests step-by-step actions to improve visibility or close coverage gaps

• Replayable prompt testing that allows teams to rerun prompts under different conditions and analyze outcome changes

PromptWatch was built for agencies that want to connect AI visibility to real traffic behavior, not just monitor mentions. Its biggest differentiator is crawler analytics — the ability to see when and how AI bots like GPTBot or ClaudeBot access your content. For agency teams, this means you can finally show clients whether their websites are even being “seen” by large language models. If a client asks why their name never shows up in ChatGPT answers, you can check if the bot has ever crawled their site, which pages it favored, and where crawl frequency drops off. That visibility helps you identify structural barriers early — something both Scrunch and AthenaHQ track indirectly, but not at the bot-log level.

PromptWatch also introduces the concept of prompt-to-traffic mapping. It connects prompt monitoring with analytics data so you can see if AI-generated answers lead users to your clients’ pages. This turns visibility tracking into measurable ROI. For SEO agencies, this bridges the gap between “we were mentioned” and “we got traffic.” For PR or reputation teams, it helps quantify brand exposure from conversational search channels. You can even replay or vary prompts to see which question phrasing triggers mentions, omissions, or citations. That kind of hands-on testing creates a live feedback loop for campaign optimization — something Scrunch’s periodic reports and AthenaHQ’s structured audits don’t offer as interactively.

Where PromptWatch outplays AthenaHQ and Scrunch is in speed and crawl transparency. Scrunch delivers accurate benchmarking but relies on scheduled analyses. AthenaHQ connects visibility to structured optimization but still depends on data refresh cycles. PromptWatch gives agencies day-to-day awareness — a pulse on both how AI crawlers behave and how AI mentions evolve. Its combination of prompt tracking, crawler logs, and referral analytics makes it especially valuable for agencies managing multiple campaigns at once or those experimenting with AI-driven content discoverability.

However, PromptWatch stays firmly in the monitoring lane. It does not rewrite content, implement schema, or reconfigure structured data. Compared with AthenaHQ, which provides optimization guidance and GEO audits, PromptWatch focuses on detection and early warning. Once you identify issues — say, that GPTBot ignores your resource pages — you’ll need other tools or internal dev teams to fix them. Its recommendations through the “AI Agent” feature are helpful but still surface-level; they prioritize visibility suggestions, not full implementation roadmaps.

Scaling is another consideration. PromptWatch’s tracking and testing capabilities depend on plan limits: number of prompts, refresh frequency, and model coverage. Agencies managing many clients or tracking large prompt sets may outgrow standard plans and need custom configurations. Reporting and white-labeling options are also less mature than Scrunch’s agency dashboards or AthenaHQ’s enterprise accounts. If you need fully branded client reports, you may need to build that layer externally.

For agencies that value speed, evidence, and crawl-level insight, PromptWatch fills an important operational role. It helps you spot when AI bots stop visiting, measure which prompts drive meaningful exposure, and tie that to tangible referral activity. Used alongside Scrunch for benchmarking and AthenaHQ for optimization, it becomes the intelligence layer that keeps your agency proactive. Instead of waiting for visibility to drop, you’ll know why it’s changing — and be able to show your clients the exact moment AI stopped or started paying attention to them.

Surfer SEO – best for content optimization and AI-ready on-page structure

Key Surfer SEO standout features for agencies

• Comprehensive content editor that analyzes top-ranking pages and surfaces entity, keyword, and topic gaps in real time

• “AI Optimization Mode” that adjusts content to align with signals favored by Google and AI assistants like Gemini and ChatGPT

• Internal linking and topical clustering recommendations to strengthen site structure and help AI crawlers interpret context

• Integrations with Google Docs, WordPress, and Jasper for seamless optimization within existing workflows

• Multi-project management, reporting, and team-sharing features built for agencies with multiple clients

Surfer SEO remains one of the most established content-optimization platforms, but in recent releases it has begun repositioning itself for the AI visibility era. Where Scrunch and AthenaHQ focus on what AI says about your brand, Surfer focuses on the foundational question: what does your content communicate to AI and search systems in the first place? 

Its core strength lies in turning vague “optimize for visibility” guidance into measurable, content-level actions. It dissects top-performing pages across the web, identifies missing entities and subtopics, and offers precise recommendations as writers build or update content.

For agencies, this workflow matters because it’s where the execution actually happens. Scrunch and PromptWatch may flag that an AI model misrepresents a brand, but fixing that problem requires optimized, semantically rich content — and that is where Surfer excels. Its real-time editor helps teams ensure that every client article or landing page carries the right signals for both search engines and large language models. The introduction of AI Optimization Mode strengthens that bridge: it doesn’t just optimize for Google rankings, but also tunes structure and phrasing for AI assistants, improving how content is interpreted, summarized, and cited by them.

Compared with Scrunch or AthenaHQ, Surfer’s advantage is depth in content-layer execution. Scrunch stops at visibility reporting, and AthenaHQ covers structured data optimization and GEO diagnostics, but neither provides the end-to-end writing environment or keyword intelligence that Surfer does. Agencies can take insights from those visibility tools — such as missing AI citations or low topic authority — and use Surfer to rewrite, expand, or interlink pages to close those gaps. This makes Surfer the natural complement in an AI-visibility stack: the platform where strategy becomes text.

Still, Surfer has clear limitations when viewed purely through an AI visibility lens. It is not built to track how AI models currently represent or cite your brand, and it doesn’t monitor LLM crawlers or prompt behavior. Its “AI chat optimization” mode is still in early stages, so while it likely improves semantic clarity, it cannot confirm whether those changes affect ChatGPT or Perplexity outputs. For agencies that need evidence of impact — screenshots, model-specific share-of-voice, or crawler logs — Surfer must be paired with a monitoring platform like Scrunch or PromptWatch.

From an agency operations standpoint, Surfer remains one of the easiest tools to scale. It supports multiple client projects under one workspace, integrates with the authoring tools your writers already use, and generates clean, explainable reports that clients can understand. The learning curve is minimal because it extends the same logic agencies have followed for years: research, optimize, publish, measure. The only difference is that now those optimizations serve a dual purpose — improving search rankings and making content more legible to AI.

For agencies already fluent in SEO, Surfer offers the most immediate, tangible way to act on AI visibility insights. It doesn’t replace GEO or monitoring tools, but it transforms their findings into content improvements that actually move the needle. In a practical stack, AthenaHQ diagnoses, Scrunch benchmarks, PromptWatch alerts, and Surfer builds the optimized assets that keep clients visible — both to search engines and to the new generation of AI-driven discovery systems.