10 Best Perplexity Rank Tracking Software in 2026

TL;DR

• The ten Perplexity tracking tools compared here are Dageno AI, Profound, Semrush AI Visibility Toolkit, Ahrefs Brand Radar, Otterly AI, Scrunch, Peec AI, AthenaHQ, SE Visible, and Nightwatch. Choose by Perplexity coverage, citation detail, repeatable prompts, and the work your team will do next.
• Perplexity visibility is not a fixed search rank: track brand mentions, owned-page citations, cited source URLs, competitor presence, and changes across repeated answers.
• Check the exact module and plan. Semrush documents Perplexity in Brand Performance; its custom Prompt Tracking currently lists ChatGPT, Google AI Mode, and Gemini instead.

Perplexity rank tracking measures how often a brand appears in repeated answers, which URLs are cited, and which competitors gain visibility, helping teams choose a tool and prioritize source improvements.

Best Perplexity rank tracking tools at a glance

These ten tools serve different Perplexity workflows, from citation research and scheduled prompt monitoring to SEO reporting and content execution. The comparison reflects official product information checked on September 10, 2026; it is a documentation-based selection, not a claim of identical hands-on testing.

Tool	Best for	Perplexity coverage and buying check
1. Dageno AI	Turning citation gaps into GEO actions	Dedicated Perplexity monitoring page; confirm prompt, market, and reporting allowances for your plan
2. Profound	Enterprise citation and competitor intelligence	Perplexity listed in Growth; Starter is ChatGPT-only
3. Semrush AI Visibility Toolkit	Perplexity brand analysis alongside SEO	Brand Performance includes Perplexity and updates weekly; do not assume its custom Prompt Tracking covers Perplexity
4. Ahrefs Brand Radar	Broad Perplexity discovery plus custom checks	Perplexity available in AI Visibility Index and Custom Prompts; these are separate products and datasets
5. Otterly AI	Accessible daily Perplexity prompt monitoring	Perplexity listed among Lite's four included engines; 15 prompts on Lite
6. Scrunch	Perplexity visibility with technical AI readiness	Perplexity included among Core's four engines; advanced technical capabilities depend on scope
7. Peec AI	Clear prompt and competitor reporting	Perplexity is one of the selectable models; Starter includes three chosen models
8. AthenaHQ	Competitive insights and content priorities	Official FAQ lists Perplexity in all plans; verify credits and collection settings
9. SE Visible	Daily multi-project monitoring	Perplexity among five included engines; Basic checks 200 prompts across those engines
10. Nightwatch	AI mentions alongside traditional rank tracking	Official AI tracking page lists Perplexity and daily updates; confirm AI allowances in the selected subscription

For a small daily benchmark, compare Otterly and Peec. Choose Ahrefs for broad source research, Profound for enterprise analysis, or Dageno when monitoring must lead to content and GEO execution. Semrush fits weekly Perplexity brand analysis in an existing SEO workflow. A product appearing here does not mean every feature, collection method, or engine is included in every subscription.

What does Perplexity rank tracking measure?

Perplexity rank tracking measures whether a brand is mentioned or recommended, which sources are cited, and how those observations change for a stable set of prompts. Record citation presence separately from the order of recommendations: a page may be cited without the brand being recommended.

Metric	What to record in Perplexity
Brand mention rate	Share of sampled answers that name the brand
Owned-page citation rate	Share of sampled answers citing your domain or an exact URL
Competitor share of voice	Your presence relative to a fixed competitor set, using the tool's stated denominator
Recommendation position	Where the brand appears in a list or recommendation, when the response has an order
Source URLs and source gaps	Exact pages cited for you and competitors, plus useful sources you lack
Answer accuracy and sentiment	Whether the answer gives correct product facts and how it describes the brand
Prompt history	Prompt, date, model or mode, location, language, collection method, answer, and citations

A Google or Bing position does not establish a Perplexity citation. Consumer Perplexity answers, API responses, and vendor discovery datasets can also differ; compare trends within the same collection setup.

How we compared the tools

We compared the ten products on documented Perplexity access, citations, prompt history, competitor analysis, reporting, and the actions each workflow supports. Ask for a sample Perplexity response and its source URLs before treating a broad “AI visibility” feature list as evidence of engine-specific tracking.

This article is published by Dageno AI, which appears in the comparison. Product coverage changes, and the recommendations reflect workflow fit rather than a universal performance ranking.

1. Dageno AI — Best for Perplexity Insights Connected to GEO Execution

Dageno AI is a fit for teams that need to connect Perplexity mentions and citation gaps with concrete content and GEO work. Its Perplexity monitoring page documents tracking how the platform discusses and recommends a brand; confirm collection frequency, markets, and prompt limits for the plan you choose.

Its Answer Engine Insights analyzes:

• Visibility and mentions
• answer position
• competitors
• Share of Voice
• sentiment
• citations
• source domains and pages
• platform differences
• topics and prompts
• historical trends

Dageno compares brands under the same real questions, showing whether each brand is mentioned, where it appears, which sources support it, and which prompts competitors dominate.

Source influence and competitor analytics

Dageno categorizes citations across source types such as:

• Owned websites
• blogs
• news and media
• social sources
• ecommerce and shopping
• third-party publications

This helps teams move from “A competitor appears more often” to “The competitor is supported by these pages and source categories for these prompts.”

Content and optimization actions

Analytics connect with:

• Find Opportunities & Gaps
• Prompt Volumes Explorer
• Content Creation
• Content Optimization
• SEO and GEO audits
• technical recommendations
• source-building opportunities
• attribution workflows

Strengths

• Complete monitoring-to-execution workflow
• strong prompt and competitor analysis
• citation and source categorization
• native sentiment
• regional and multilingual support
• content generation and optimization
• technical SEO and GEO actions
• useful for SEO, content, PR, agencies, and global teams

Limitations

• A team needing only a basic mention checker may not use the wider feature set.
• Optimization recommendations still require strategic and editorial review.
• Visibility movement is directional evidence, not deterministic attribution.

Best fit

Choose Dageno when the program needs to answer:

1. What is happening?
2. Why is it happening?
3. What should we do?
4. Did the work change the result?

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2. Profound — Best for Enterprise Perplexity Intelligence

Profound supports Perplexity answer and citation analysis, with Perplexity listed in Growth and broader enterprise coverage. Its Starter plan tracks ChatGPT only, so the entry plan is not a Perplexity subscription.

Profound is an advanced enterprise AEO platform covering visibility, citations, sentiment, Share of Voice, answer position, competitors, platforms, regions, topics, and personas.

Official resource: Profound Answer Engine Insights.

Analytics capabilities

Profound runs tracked prompts daily and reports:

• Visibility Score and Rank
• Share of Voice
• citation share
• citation categories
• cited domains and pages
• watched URLs
• sentiment and themes
• answer position
• competitor rankings
• platform differences
• regional performance
• audience persona differences

Its product documentation says it captures front-end answer experiences from major platforms rather than relying exclusively on API outputs.

Citation analytics

Profound includes:

• Owned, competitor, earned media, PR wire, social, institution, and custom categories
• citation share by platform, topic, and prompt
• top publishers and authors
• top domains and pages
• watched-page tracking
• citation relationships
• exports and Agent workflows

Official resource: Profound AI Citation Tracking.

Sentiment and actions

Profound supports:

• daily sentiment tracking
• positive and negative theme analysis
• source URLs connected to themes
• narrative trends
• inaccurate-claim detection
• root-cause analysis
• Agents for content, optimization, reporting, and outreach workflows

Strengths

• Sophisticated enterprise analytics
• daily prompt execution
• deep citation and sentiment analysis
• platform, region, topic, and persona filtering
• accuracy and narrative monitoring
• automated Agent workflows

Limitations

• Platform and prompt coverage varies by plan.
• Advanced programs may require enterprise pricing.
• The product can be excessive for teams starting with a few prompts.

Best fit

Choose Profound when AEO analytics is an enterprise intelligence function shared by SEO, content, communications, analytics, and leadership.

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3. Semrush AI Visibility Toolkit — Best for Perplexity Brand Analysis Alongside SEO

Semrush is useful for analyzing how Perplexity describes a brand while keeping that work close to SEO research. Its Brand Performance reports explicitly cover Perplexity, ChatGPT, Google AI Mode, and Gemini, with weekly updates.

The distinction between modules matters: custom Prompt Tracking currently documents ChatGPT, Google AI Mode, and Gemini, not Perplexity. Do not buy the Toolkit's 25-prompt allowance expecting it to run 25 custom Perplexity prompts.

Analytics capabilities

Brand Performance includes Share of Voice, mentions, sentiment, citations, and average position, with platform-specific views and weekly historical snapshots. Review the Perplexity filter rather than an aggregate AI score when reporting this channel.

Source and regional analysis

The report is configured for a domain, location, and language. Inspect the cited sources and narrative drivers, compare competitors, and use those findings to guide source and content research. The included Brand Performance allowance covers one domain and location; additional scope is a separate purchase.

Strengths

• Perplexity-specific Brand Performance views
• Weekly brand, sentiment, citation, and competitor analysis
• A familiar setting for teams already using Semrush SEO research
• Reporting that can be combined with wider marketing data

Limitations

• Weekly Brand Performance is different from a daily custom Perplexity benchmark.
• Custom Prompt Tracking's supported-engine list does not currently include Perplexity.
• Site Audit, content, and other workflows have their own allowances and product scope.

Best fit

Choose Semrush for weekly Perplexity brand and competitor analysis alongside SEO; choose another supported prompt monitor if daily custom Perplexity questions are the central requirement.

Official sources: Brand Performance reports, Prompt Tracking, and Toolkit limits.

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4. Ahrefs Brand Radar — Best for Large-Scale Perplexity Research

Ahrefs Brand Radar supports Perplexity in its AI Visibility Index and in Custom Prompts. Use the index to discover brands and cited sources at scale, and use your own fixed Perplexity prompts for controlled comparisons over time. These products have different datasets and pricing units.

Official resource: Ahrefs Brand Radar Overview.

Analytics capabilities

Brand Radar tracks:

• Mentions
• citations
• estimated impressions
• AI Share of Voice
• competitors and trends
• custom prompts
• search demand
• web visibility
• YouTube visibility
• Reddit visibility
• emerging TikTok visibility

The prebuilt database allows immediate research into brands, products, topics, authors, and competitors.

Source influence

Brand Radar helps identify:

• cited domains and pages
• brand mentions across the web
• competitor sources
• YouTube and Reddit visibility
• prompt and content gaps
• influential third-party sources

Its connection with Ahrefs keyword, backlink, and web-mention data is a major advantage.

Sentiment and actions

If sentiment is essential to your Perplexity report, verify the exact Ahrefs report and plan rather than assuming a general AI analytics feature is available for every dataset.

Brand Radar is strongest as a research layer. Content creation, technical implementation, and outreach usually occur in other Ahrefs tools or external workflows.

Strengths

• Large search-backed prompt database
• immediate category research
• AI Share of Voice
• citations and source discovery
• custom prompts and history
• integration with Ahrefs SEO data
• web, YouTube, and Reddit context

Limitations

• Broad data can create noise without a commercial prompt strategy.
• Estimated impressions and SOV are modeled, not first-party AI audience analytics.
• Full access and large prompt programs can be expensive.
• The product is more research-oriented than a closed-loop execution platform.

Best fit

Choose Ahrefs Brand Radar when large-scale market intelligence and integration with Ahrefs matter more than built-in execution.

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5. Otterly AI — Best for Accessible Daily Perplexity Monitoring

Otterly AI explicitly checks Perplexity daily and includes it among the four engines in its Lite plan. It suits marketers, SEO teams, and agencies that want a recurring Perplexity prompt set without an enterprise rollout.

Official resource: Otterly AI Features.

Analytics capabilities

Otterly monitors tracked prompts daily and reports:

• Brand coverage and mentions
• competitor mentions
• domain rankings
• link citations
• Share of Voice
• prompt-level performance
• brand sentiment
• answer history
• platform and country differences

Sentiment and regional tracking

Otterly includes:

• Net Sentiment Score
• positive, neutral, and negative breakdowns
• sentiment counts
• competitor benchmarking
• prompt-level sentiment attributes

Official resource: Otterly AI Brand Sentiment.

The platform supports more than 50 countries. Tracking the same prompt in multiple countries uses separate prompt slots.

Actions

Otterly provides:

• Prompt Research
• GEO audits
• recommendations
• reports and exports
• Looker Studio
• API and MCP on qualifying plans

Strengths

• Daily monitoring
• clear citations and competitor reports
• native sentiment
• multi-country support
• accessible interface
• strong agency reporting
• GEO audits and recommendations

Limitations

• Entry plans have limited prompts.
• Some engines require add-ons.
• Country-specific prompts consume separate slots.
• It is not a full traditional SEO suite.

Best fit

Choose Otterly when a small or mid-sized team wants daily Perplexity mentions, citations, and competitor comparisons; check the prompt allowance and country usage before sizing a campaign.

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6. Scrunch — Best for Perplexity Monitoring with Technical AI Readiness

Scrunch includes Perplexity among the four engines in its Core plan and combines visibility monitoring with technical analysis of how AI agents access and understand a website. Confirm the technical modules in your scope rather than assuming every delivery feature is included in Core.

Official resource: Scrunch AI Customer Experience Platform.

Analytics capabilities

Scrunch monitors:

• Brand presence and answer share
• competitor presence
• citations and source Influence Score
• prompt-level details
• sentiment and position
• platform and geographic differences
• AI search trends
• AI referral traffic
• bot traffic

Technical readiness

Scrunch’s separate Agent Experience Platform describes capabilities including:

• Detect AI bot traffic at the edge
• show what agents request
• identify JavaScript and crawlability problems
• visualize site performance for AI agents
• recommend page and content improvements
• deliver bot-friendly AI-optimized content
• serve pre-rendered pages to AI user agents

Official resource: Scrunch Agent Experience Platform.

Strengths

• Monitoring and citation analytics
• technical crawler and agent data
• page-level readiness recommendations
• referral and bot traffic analysis
• competitor gaps
• regional, language, and persona support
• optimized content delivery

Limitations

• Agent-facing content delivery needs engineering review before implementation.
• Pricing and platform coverage differ by tier.
• It may be excessive for teams needing only monthly reports.

Best fit

Choose Scrunch when AI visibility is both an analytics problem and a technical agent-experience problem.

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7. Peec AI — Best for Clear Perplexity Prompt Reporting

Peec AI is a fit for marketing teams that want a focused view of Perplexity visibility, competitors, and cited sources. Perplexity is a selectable model; Starter includes three chosen models rather than every listed model at once.

Use the same prompts and competitors across reporting periods, then inspect the sources behind gains or losses. Daily tracking supports trend reviews, while country, project, and extra-model allowances affect the campaign size.

Best fit: teams prioritizing straightforward prompt and source reporting. Limitation: confirm that Perplexity is one of the selected models and whether more markets or models require an upgrade.

Official source: Peec AI pricing and model selection.

8. AthenaHQ — Best for Competitive Insights and Content Priorities

AthenaHQ's official FAQ lists Perplexity among the platforms included in all plans. Its workflow combines brand and competitor visibility, sentiment, source insights, and recommendations for content priorities.

Use Perplexity-specific evidence to distinguish missing owned pages from third-party sources that repeatedly support a competitor. Review recommended changes against the original answer and citations before assigning editorial work.

Best fit: teams that want competitive findings connected to content actions. Limitation: platform inclusion alone does not establish unlimited prompts, credits, markets, or a particular collection frequency; confirm those settings for the selected plan.

Official source: AthenaHQ platform coverage and FAQ.

9. SE Visible — Best for Daily Multi-Project Perplexity Monitoring

SE Visible, from SE Ranking, includes Perplexity among five engines checked daily. Its Basic plan lists 200 prompts and three projects; the prompt allowance applies across the included engines rather than requiring a separate prompt slot for every engine check.

Use a dedicated Perplexity view to compare mentions, sentiment, and cited URLs across clients or brands. Export the results for a consistent reporting process instead of merging different AI engines into a single unexplained score.

Best fit: teams managing several projects with daily checks. Limitation: SE Visible is its own AI visibility product; do not assume an ordinary SE Ranking SEO subscription includes it. Scheduled report delivery should be verified separately from dashboard refreshes and CSV exports.

Official source: SE Visible engine coverage and limits.

10. Nightwatch — Best for Perplexity Visibility Alongside SEO Rankings

Nightwatch's AI tracking page explicitly lists Perplexity and describes daily AI visibility updates. It shows brand and competitor mentions alongside traditional rank-tracking data, with context and sentiment for the collected answers.

Use the combined view to investigate whether changes in discoverability coincide with citation changes. A correlation with Google or Bing positions is a research lead, not proof that a search rank caused a Perplexity recommendation.

Best fit: SEO teams that want AI visibility close to their existing rank reports. Limitation: confirm AI tracking allowances, Perplexity collection settings, and exports in the selected subscription rather than using a traditional SEO entry price as the AI price.

Official source: Nightwatch AI tracking.

How to Choose Perplexity Rank Tracking Software

Choose a tool that documents Perplexity in the module you need, retains original answers and cited URLs, and lets you repeat a stable set of commercially relevant prompts.

To compare engine coverage, citation reporting, and competitor monitoring across the wider market, explore our guide to AI search monitoring platforms.

Compare methodology, not only scores

Two tools may report an “AI Visibility Score” while using different:

• Prompts
• platforms
• model versions
• countries
• collection methods
• update frequencies
• brand-detection logic
• competitor sets
• weighting formulas

Do not compare scores from different tools as though they are the same measurement.

Test real buying prompts

Use questions such as:

• What are the best tools in this category?
• Which product is best for this use case?
• What are the alternatives to the market leader?
• Which provider is most trusted?
• How does our product compare with a competitor?
• What is the best option for a particular budget, region, or company size?

Inspect raw answers

The tool should let you review:

• Full responses
• exact citations
• source URLs
• sentiment attributes
• prompt history
• platform and country settings
• competitor configuration
• tags and intent groups

Calculate the full cost

Estimate:

Prompts × platforms × regions × update frequency × projects

Then include API, reports, content credits, audits, users, domains, and retention.

How to Build a Perplexity Tracking Workflow

Build the workflow around a fixed Perplexity prompt set: record the baseline, inspect cited sources, assign actions, document changes, and compare repeated results.

For Perplexity-specific tracking criteria and best practices, see our guide on how to track Perplexity rankings.

Step 1: Define prompts

Create groups for category discovery, comparisons, alternatives, use cases, pricing, reputation, implementation, product facts, and regional intent.

Step 2: Establish a baseline

Measure mentions, citations, exact sources, position, Share of Voice, sentiment, competitors, platforms, regions, and source categories.

Step 3: Diagnose gaps

A missing mention may come from:

• Missing content
• weak answer structure
• unclear positioning
• stale facts
• crawler blocking
• weak evidence
• insufficient authority
• competitor review dominance
• poor regional coverage

Step 4: Assign actions

Gap	Potential Action
Competitor cited from its own guide	Build or improve the corresponding page
Review site influences answers	Improve the product profile, reviews, and supporting evidence
Outdated article shapes the narrative	Provide updated facts or conduct PR outreach
Page is retrieved but not cited	Improve clarity, evidence, structure, and topical fit
Brand is mentioned negatively	Correct product issues or strengthen accurate information
One region underperforms	Create localized content and authority signals
AI crawlers cannot access the site	Fix robots, rendering, CDN, WAF, and indexability
High-value prompts lack a relevant page	Create a category, comparison, use-case, or FAQ asset

Step 5: Document changes

Record page edits, technical fixes, PR placements, reviews, product updates, campaigns, and model changes.

Step 6: Measure repeated results

Compare the same Perplexity prompts, mode or model, markets, and competitors over multiple runs. Keep browser-based answers and API results in separate series.

Look for sustained changes in mentions, citations, position, sentiment, competitor share, AI referrals, and conversions.

Technical Readiness for Perplexity Citations

Check that Perplexity can retrieve useful pages before attributing a missing citation to content quality. Perplexity documents PerplexityBot for surfacing and linking websites in search results and Perplexity-User for user-requested page visits; these have different roles.

Review:

• robots.txt
• AI crawler rules
• WAF and CDN blocks
• response codes
• JavaScript rendering
• clean HTML
• canonicals and noindex directives
• sitemaps
• internal links
• structured data
• author and organization information
• product and pricing facts
• dates and freshness

Use the current Perplexity crawler documentation to review robots.txt and WAF access. Perplexity recommends combining user-agent checks with its published IP ranges; do not rely on a user-agent string alone.

Technical readiness does not guarantee citations, but technical failure can keep a useful page out of the source pool.

Content Strategy for Perplexity

Improve the pages and source gaps found in actual Perplexity answers, using clear facts, useful comparisons, and verifiable evidence. Answer-ready content usually includes:

• A direct answer near the top
• descriptive headings
• definitions
• comparison tables
• pros and cons
• decision criteria
• original examples
• verifiable data
• source attribution
• updated dates
• explicit product facts
• practical workflows
• FAQs
• strong internal links

Avoid generic content written only to repeat target phrases. A page should be useful enough that a human would save, cite, or share it even if AI search did not exist.

Common Mistakes

The most common Perplexity tracking mistakes are trusting a generic engine list, recording mentions without citations, and comparing different collection methods as though they produced the same rank.

• Choosing only by the number of supported platforms
• Measuring one prompt once
• tracking mentions without sources
• changing competitors during reporting periods
• confusing modeled impressions with first-party analytics
• buying analytics without execution owners
• assuming owned content alone controls AI answers
• expecting deterministic attribution

Final Recommendation

Choose the tool that matches your Perplexity measurement task: Otterly or Peec for a daily prompt benchmark, Ahrefs for source discovery, Profound for enterprise intelligence, or Dageno for moving from citation gaps to content and GEO actions. Semrush is useful for weekly Perplexity Brand Performance, while Scrunch, AthenaHQ, SE Visible, and Nightwatch offer different technical, competitive, multi-project, and SEO workflows.

Keep the answer, prompt, source URLs, and collection conditions behind each metric. Improvements should be assessed across repeated checks; no tool guarantees that Perplexity will cite a page or recommend a brand.

FAQ

What are the best Perplexity rank tracking tools?

The ten tools compared here are Dageno AI, Profound, Semrush AI Visibility Toolkit, Ahrefs Brand Radar, Otterly AI, Scrunch, Peec AI, AthenaHQ, SE Visible, and Nightwatch. Compare the Perplexity module and plan you will actually use, then choose by citation detail, prompt control, reporting, and workflow fit.

Is Perplexity rank tracking the same as Google or Bing rank tracking?

No. Perplexity tracking measures mentions, recommendations, and citations inside sampled AI answers; Google and Bing rank tracking measures ordered search positions. A strong search position does not prove inclusion in a Perplexity response.

Which tools can monitor custom Perplexity prompts regularly?

Ahrefs Custom Prompts, Otterly, Peec, and SE Visible document recurring tracking with Perplexity coverage; Profound also lists Perplexity in Growth and enterprise scope. Check other vendors' collection settings and plan limits before assuming their brand-analysis reports are a custom prompt tracker.

Does Semrush Prompt Tracking support Perplexity?

Semrush's current custom Prompt Tracking documentation lists ChatGPT, Google AI Mode, and Gemini; Perplexity is documented in its separate Brand Performance reports, which update weekly. Those modules should not be treated as interchangeable.

What should a Perplexity tracking report include?

Include the prompt, collection date and settings, original answer, brand mentions, owned-page citations, exact source URLs, competitor presence, and changes over time. Add sentiment, accuracy, and referral outcomes when they help explain the result.

How often should I check Perplexity visibility?

Daily collection with weekly trend reviews is useful for active campaigns, while slower strategic programs can use a consistent weekly sample. Repeated observations matter more than one favorable answer; use the frequency your tool actually supports.

Can tracking software see every Perplexity conversation?

No. A vendor's report describes its collected prompt sample or dataset, not all private user conversations. Record whether results come from a browser experience, an API, or a discovery index before interpreting coverage.

How can Dageno AI help improve Perplexity visibility?

Dageno connects Perplexity monitoring with prompt analysis, cited-source gaps, content opportunities, and GEO execution. Use those findings to assign a change and then check the same prompts again; this supports evaluation without guaranteeing citations or deterministic attribution.

Does allowing PerplexityBot guarantee citations?

No. Allowing legitimate retrieval helps make content accessible, but Perplexity still chooses which evidence to use. Useful answers, accurate facts, clear structure, credible sources, and current content remain important.

References

• Dageno Perplexity monitoring
• Dageno Answer Engine Insights
• Profound Answer Engine Insights
• Profound pricing and engine coverage
• Semrush Brand Performance reports
• Semrush Prompt Tracking
• Semrush AI Visibility Toolkit limits
• Ahrefs Brand Radar overview
• Ahrefs Custom Prompts
• Otterly monitoring intervals
• Otterly pricing and included engines
• Otterly brand sentiment
• Scrunch pricing and platform access
• Scrunch citations
• Scrunch Agent Experience Platform
• Peec AI model selection and limits
• AthenaHQ platform coverage
• SE Visible daily tracking and limits
• Nightwatch AI tracking
• Perplexity crawler documentation
• Dageno Opportunities and Gaps
• Dageno Prompt Volumes Explorer
• Dageno Content Creation
• Dageno Content Optimization
• Profound AI Citation Tracking
• Otterly AI Features
• Scrunch platform