Dageno AI is the best SE Visible alternative for teams that want AI visibility and citation intelligence connected to opportunity prioritization, content execution, specialized agents, and measurable result attribution.

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Updated on Jul 28, 2026
Dageno AI is the best SE Visible alternative for teams that need AI visibility intelligence to become an operating workflow for prioritization, execution, and attribution rather than remaining primarily a measurement layer.
SE Visible is a dedicated AI-search product built by the team behind SE Ranking.
Its current public positioning is straightforward: monitor brands, sentiment, competitors, prompts, and sources across ChatGPT, Gemini, Google AI Mode, Perplexity, and Google AI Overviews.
The platform currently helps teams answer questions such as:
SE Visible also supports multi-brand/client workflows, unlimited-user collaboration in its current product presentation, CSV exports, source categorization, regional visibility analysis, and localized prompt configurations.
Its API makes the product more infrastructure-ready than its dashboard-focused positioning might initially suggest.
Current API documentation allows teams to:
That makes SE Visible a strong choice for organizations whose core requirement is:
Build a reliable AI-search measurement and reporting layer.
Dageno AI overlaps with that use case but moves further toward strategy and execution.
Dageno's current Answer Engine Insights tracks visibility, share of voice, competitors, industry position, sentiment, and citations across real AI answers. Its opportunity layer then uses real prompts, competitor coverage, source structures, communities, backlinks, and commerce scenarios to identify where action is likely to create the most value.
The operating distinction can therefore be summarized as:
SE Visible: understand AI visibility deeply and distribute the data into your workflow.
Dageno AI: understand AI visibility, decide what deserves action, execute through specialized workflows, and measure the result.
A practical shortlist is:
| Platform | Best for | Primary strength |
|---|---|---|
| Dageno AI | GEO strategy + execution | Opportunity prioritization connected to agents, content, sources, and attribution |
| SE Visible | AI visibility intelligence | High-capacity prompt tracking, competitors, sentiment, sources, reporting, API |
| Profound | Enterprise AEO | Deep answer-engine intelligence, Agents, enterprise governance |
| Writesonic | SEO + GEO consolidation | AI visibility combined with SEO, audits, content, and agent workflows |
| Peec AI | Focused AI analytics | Simple prompt-based measurement with flexible team access |
| OtterlyAI | Lower-complexity monitoring | Daily monitoring, citations, audits, API/MCP on higher tiers |
Original insight: Observation-to-Intervention Distance
A useful way to evaluate SE Visible alternatives is to measure Observation-to-Intervention Distance:
How many decisions, tools, and handoffs sit between detecting an AI visibility problem and completing the action intended to fix it?
A typical monitoring workflow might be:
AI gap → analyst investigation → spreadsheet → SEO meeting → content brief → writer → CMS → follow-up tracking
That is a long distance.
A more integrated workflow might be:
AI gap → prioritized opportunity → content/source action → publish → re-measure
That is a shorter distance.
SE Visible is particularly strong near the observation and intelligence end of this chain.
Dageno is particularly relevant when the goal is to compress more of the downstream intervention process.
SE Visible is an AI visibility intelligence platform that monitors how brands appear in AI-generated answers and exposes the prompts, competitors, sentiment, positions, and sources behind those results.
Its current product can be understood through six major layers.
SE Visible currently monitors:
and lets teams compare brand visibility across those systems.
Its API exposes metrics including:
and can return those metrics at individual prompt or aggregated topic level.
That gives teams multiple ways to evaluate a brand.
For example:
A company may appear frequently but low in recommendation lists.
Another company may appear less frequently but consistently occupy the first recommendation position.
A single “visibility” metric cannot fully describe those differences.
SE Visible organizes tracked questions into topics and allows teams to analyze visibility at both the prompt and thematic level.
Prompts are central to the data model.
Current API documentation supports:
This helps teams move beyond one giant list of questions.
A SaaS company, for example, could create topics around:
and then determine whether AI visibility weakness is isolated or systematic.
SE Visible benchmarks the tracked brand against competitors across the same AI-search environment.
The current product allows teams to compare performance, see which prompts favor competitors, evaluate sentiment differences, and inspect the sources associated with competing brands.
Its API also allows teams to add competitor brands with domains and aliases and retrieve brands that AI systems mention even if they were not originally part of the tracked competitor set.
That second capability matters.
Your traditional SEO competitor is not necessarily your AI-search competitor.
A software company may discover that AI systems frequently compare it with:
rather than the competitors the marketing team originally selected.
SE Visible analyzes whether AI-generated answers describe the tracked brand positively, neutrally, or negatively.
The current platform presents sentiment as part of brand visibility monitoring and competitive comparison, and the API exposes sentiment both at prompt-result level and as an aggregated brand metric.
This is important because visibility alone can be misleading.
Consider:
“Brand X is inexpensive but may not be appropriate for enterprise security requirements.”
The brand is visible.
But the answer may reduce purchase probability.
A serious GEO program therefore needs to distinguish:
SE Visible identifies the domains and individual URLs that AI systems use when generating answers.
The current platform lets users see:
and its API can filter source analysis by model, country, topic, prompt, sentiment, tracked brand, and competitor.
This is one of SE Visible's most strategically useful capabilities.
Knowing that a competitor appears more often is interesting.
Knowing that one particular industry publication repeatedly appears behind that competitor's recommendations is actionable.
SE Visible now provides a meaningful API surface for organizations that want AI-search data inside internal reporting or operational systems.
The API can manage:
and retrieve:
That makes SE Visible particularly relevant for teams with:
Companies usually look for an SE Visible alternative when they need stronger execution workflows, broader geographic flexibility, integrated content production, technical optimization, enterprise orchestration, or a lower-cost/smaller starting footprint.
SE Visible has clear strengths.
Its Basic plan currently includes 200 prompts, which is a comparatively large entry-level monitoring capacity.
That can be useful for:
But monitoring capacity is not always the bottleneck.
A team may already have 500 prompt observations and still struggle to answer:
What should we do on Monday morning?
SE Visible's current public product emphasizes:
with more advanced analytics and reporting features also highlighted as areas of continued expansion.
A company may evaluate alternatives when:
SE Visible currently advertises monitoring in the US, UK, Canada, France, Germany, the Netherlands, and Spain, with monitoring configurations in English, French, German, Dutch, and Spanish.
Dageno's current standard plans, by comparison, list unlimited countries and languages.
That geographic difference may matter for international brands.
Practical example: 200 prompts can create more work than clarity
Suppose an SE Visible customer tracks 200 prompts.
The monitoring identifies:
That is useful intelligence.
It is also a substantial backlog.
If the team can execute only five major initiatives this quarter, the problem becomes:
Which five actions create the greatest strategic leverage?
That is a different problem from visibility monitoring.
The Dageno AI opportunity intelligence workflow is designed specifically around this transition from a large monitoring dataset into prioritized opportunities. Dageno's current methodology analyzes real prompts, competitor coverage, and citation structures while distinguishing content, community, source, backlink, and commerce opportunities.
SE Visible is strongest as a high-capacity AI visibility and source-intelligence system, while Dageno AI places greater emphasis on converting monitoring evidence into prioritized cross-channel execution and measurable outcomes.
Both platforms provide substantial monitoring.
| Capability | SE Visible | Dageno AI |
|---|---|---|
| AI visibility monitoring | Strong | Strong |
| Share of voice | Yes | Yes |
| Average answer position | Yes | Yes |
| Competitor analysis | Strong | Strong |
| Sentiment | Yes | Yes |
| Citation/source intelligence | Strong | Strong |
| Prompt/topic grouping | Yes | Yes |
| Raw answer access | API supports raw responses | Real-answer intelligence workflow |
| Source categories | Media, blogs, forums and source-level analysis | Source/citation opportunity intelligence |
| API | Current SE Visible API | Enterprise/custom API |
| Prompt management through API | Yes | Platform workflow |
| Content generation | Not current core SE Visible positioning | Dedicated Content Creator + agent |
| Opportunity prioritization | Competitive and source insights | Dedicated opportunity layer |
| Backlink workflow | Source data can guide outreach | Dedicated Backlinks Agent/opportunities |
| Pitch workflow | External workflow | Pitch Builder Agent |
| Community opportunities | Source analysis can identify forums | Explicit community/social opportunity workflow |
| Technical SEO/GEO audit | SE Ranking ecosystem can complement it | Dedicated SEO/GEO Auditor Agent |
| Commerce opportunity analysis | Not current SE Visible focus | Explicit commerce/product analysis |
| Standard geographic coverage | Publicly listed country/language set | Unlimited countries/languages |
| Core center of gravity | Measurement + intelligence | Strategy + execution + attribution |
SE Visible's strength is not merely its dashboard.
Its API gives sophisticated teams programmatic access to the underlying visibility, brands, prompts, results, and source structures.
Dageno's differentiation begins where the monitoring dataset becomes an allocation problem.
Dageno currently describes itself as a GEO data strategy platform designed to identify where brands are missing from decision queries, where competitors capture demand, which source structures influence AI recommendations, and which priorities should be acted on first.
Original insight: Monitoring Density vs. Decision Density
Two platforms can create value in different ways.
Monitoring density asks:
How many prompts, answers, sources, competitors, and markets can we observe?
Decision density asks:
How many defensible marketing decisions can we extract from those observations?
A team can have:
and still make only two good decisions per quarter.
Another team can track 100 prompts and convert them into ten measurable interventions.
The best platform depends on whether your bottleneck is evidence collection or decision throughput.
The best SE Visible alternatives are Dageno AI, Profound, Writesonic, Peec AI, and OtterlyAI, each optimized for a different operating model.
Dageno AI is the strongest SE Visible alternative when monitoring needs to lead directly into prioritized strategy, specialized execution, content creation, and result attribution.
Dageno's AI Visibility & Competitive Insights analyzes real AI answers across:
Its AI Opportunity & Source Intelligence then identifies potential actions across:
Current monthly plans are:
| Dageno plan | Price | Prompts | Projects | Platforms |
|---|---|---|---|---|
| Starter | $79 | 50 | 1 | Choose 3 |
| Growth | $199 | 150 | 2 | Choose 3 |
| Scale | $499 | 500 | 5 | Choose 3 |
| Enterprise | Custom | Custom | Custom | Custom |
Starter, Growth, and Scale currently include daily tracking, unlimited countries and languages, up to ten competitors, and agent credits.
Dageno is particularly appropriate when the buyer's requirement is:
Give us fewer raw observations and more completed GEO loops.
Profound is a stronger SE Visible alternative when enterprise governance, autonomous Agents, attribution, and multi-team AEO orchestration matter more than affordable high-volume monitoring.
Profound's current self-service offering includes:
Starter currently includes 100 Agent credits per month, while Growth includes 400. Enterprise adds multi-company support, customized tracking, dedicated support, SSO/SAML, and enterprise security capabilities.
Profound is particularly relevant when:
SE Visible may remain more attractive when large prompt capacity, source analysis, and straightforward monitoring are the priority.
Writesonic is a strong SE Visible alternative when AI visibility needs to live inside a broader SEO, technical audit, content-production, and agentic workflow stack.
Writesonic's current Starter plan is $79/month on annual billing and includes:
Current published plan pricing lists Starter at $79, Basic at $199, Growth at $399, and Enterprise at custom pricing.
Enterprise expands AI-platform coverage to ten environments.
Writesonic is therefore attractive when a team wants:
SEO + GEO + content + audit + agents
inside one stack.
SE Visible is more specialized around measurement and intelligence.
Peec AI is a strong SE Visible alternative when teams want a simpler analytics-first product with daily tracking and unlimited users.
Current Peec plans provide:
Standard plans include daily tracking and unlimited users, while Advanced adds multi-country and Looker Studio support. Enterprise adds custom prompt tracking, API access, SSO, unlimited projects, and support for up to 11 LLM models.
Peec is especially relevant when:
OtterlyAI is a practical SE Visible alternative when teams want recurring AI monitoring, citations, audits, reporting, and API/MCP access without a larger strategy-and-content platform.
Current plans provide:
with daily tracking across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Google AI Mode, Gemini, and Claude are currently available as paid add-ons.
All current plans include:
Standard and Premium also provide API, MCP, and Looker Studio functionality with tier-specific limits.
SE Visible currently costs $99/month for Basic, $189/month for Core, and $355/month for Plus on its public monthly pricing.
The current monthly structure is:
| SE Visible plan | Monthly price | Prompts | Approx. AI answers/month | Projects |
|---|---|---|---|---|
| Basic | $99 | 200 | ~12,000 | 3 |
| Core | $189 | 450 | ~27,000 | 5 |
| Plus | $355 | 1,000 | ~60,000 | 10 |
All three currently list:
as supported answer engines. SE Visible currently advertises a 10-day free trial and a 20% saving for annual billing.
This is an important pricing model because SE Visible provides relatively high prompt counts at each tier.
Compare the basic monitoring allocation:
| Platform | Entry prompt capacity |
|---|---|
| SE Visible Basic | 200 |
| Dageno Starter | 50 |
| Profound Starter | 50 |
| Peec Starter | 50 |
| OtterlyAI Lite | 15 |
But raw prompt count is not equivalent to value.
SE Visible Basic is attractive if a team genuinely needs 200 prompts.
A company that needs only 40 commercial decision prompts may receive greater value from a system that uses more of the subscription around execution.
Original insight: Visibility Portfolio Density
Calculate:
Visibility Portfolio Density = commercially relevant tracked prompts ÷ total tracked prompts
Suppose Team A tracks 1,000 prompts.
Only 250 relate to actual customer decisions.
Its density is 25%.
Team B tracks 150 prompts.
120 relate directly to:
Its density is 80%.
Team B may have the smaller monitoring portfolio but the stronger strategic dataset.
Prompt capacity is useful only when the organization has a disciplined prompt-selection process.
SE Visible is better when the organization primarily needs high-capacity AI visibility intelligence, detailed source analysis, competitor monitoring, and programmatic access to raw AI-search data.
Several SE Visible capabilities are especially compelling.
Basic currently provides 200 prompts for $99/month.
For a brand with:
that capacity can be useful.
SE Visible makes source investigation central to its product.
Teams can inspect:
This is particularly strong for:
SE Visible's API can return complete prompt results and raw unmodified LLM responses.
That is valuable when internal researchers want to:
SE Visible is an especially rational choice when the organization already has:
In that situation, the organization may not want another execution layer.
It may simply need better AI-search intelligence.
Practical example: SE Visible as an intelligence layer
An enterprise has:
The team does not need its AI visibility tool to write an article.
It needs:
SE Visible fits this architecture well.
Dageno AI is better when the team needs AI visibility data to determine priorities and then move directly into content, source, backlink, social, audit, and attribution workflows.
Dageno becomes particularly relevant when:
Dageno's current opportunity methodology explicitly separates:
and recommends using confidence scoring so one unstable AI answer does not automatically create a content project.
That distinction is strategically important.
A visibility gap does not imply a content gap.
For example:
AI may recommend Competitor A because:
Publishing another blog article may not fix any of those causes.
SE Visible is extremely strong for source inspection, while Dageno AI becomes stronger when the source data needs to be converted into a prioritized source-acquisition strategy connected to broader GEO opportunities.
SE Visible can show which domains and URLs appear most frequently in AI answers, categorize source types, measure citation frequency, and inspect whether sources mention the tracked brand or competitors.
This answers:
Which sources shape AI answers?
Dageno's opportunity workflow additionally asks:
Which source should we pursue first, for which commercial scenario, and what action should follow?
The Dageno AI opportunity intelligence connects citation structures with:
Original insight: The Source Control Spectrum
Every important AI citation sits somewhere on a Source Control Spectrum.
Examples:
You can edit these directly.
Examples:
You can influence these but do not fully own them.
Examples:
You must earn inclusion.
Examples:
The community controls the narrative.
The correct intervention depends on where the source sits.
A source-intelligence system tells you where the source is.
A mature strategy also determines what level of control you actually have over it.
SE Visible is strong at revealing prompts and sources that should inform content strategy, while Dageno AI is stronger when the platform is expected to turn that evidence into a content roadmap and produce the resulting assets.
SE Visible gives marketers useful inputs:
A content strategist can use those inputs to answer:
What subjects are we underrepresented in?
But the downstream work generally remains part of the organization's existing content workflow.
Dageno's content strategy workflow focuses on maintaining consistent narratives across:
Its AI Content Creator then supports:
The distinction is:
SE Visible: data that informs the content strategist.
Dageno AI: data + strategy + content-production workflow.
SE Visible is better for teams that prioritize high prompt capacity and transparent AI-search measurement, while Profound is better for enterprises that want deeper AEO orchestration, Agents, attribution, and governance.
SE Visible Basic currently provides 200 prompts across five AI environments for $99/month.
Profound Starter instead provides:
while Growth provides:
The tradeoff is clear.
Choose SE Visible when:
Choose Profound when:
SE Visible is better for specialized AI visibility intelligence, while Writesonic is better when organizations want AI monitoring combined with traditional SEO, content creation, technical auditing, and agent workflows.
SE Visible is a focused AI-search product.
Writesonic is broader.
Its current Starter plan includes:
Higher Writesonic tiers expand prompt capacity and execution capabilities, while Enterprise expands AI-platform coverage to ten environments.
Choose SE Visible when:
We already have our SEO stack and need dedicated AI intelligence.
Choose Writesonic when:
We want to consolidate AI visibility, SEO, auditing, and content.
SE Visible is stronger for larger entry-level prompt portfolios and source-level intelligence, while Peec AI is attractive when teams want streamlined daily analytics with unlimited users and flexible prompt allocation.
Peec Starter currently includes:
Pro expands to 150 prompts and two projects.
Advanced expands to 350 prompts and five projects and adds multi-country support and Looker Studio integration.
SE Visible Basic instead starts with:
SE Visible may therefore be more suitable when prompt capacity and citation-source analysis matter heavily.
Peec may be more suitable when the team prioritizes daily monitoring, simple project management, and broad user access.
SE Visible is better for deeper competitive/source intelligence and higher prompt capacity, while OtterlyAI is better for teams that want a simpler monitoring-and-audit stack.
OtterlyAI currently supports 15, 100, or 400 prompts depending on plan and includes daily tracking across its core platform set.
Its standard functionality includes:
with API, MCP, and Looker Studio available on higher tiers.
SE Visible's differentiators include:
Choose OtterlyAI when a lighter operational footprint is preferable.
Choose SE Visible when AI visibility intelligence itself is a more substantial research function.
The best SE Visible alternative should be selected by identifying whether the current bottleneck is measurement capacity, source intelligence, decision-making, execution, geographic coverage, or attribution.
Use this eight-step framework.
Determine how many prompts represent meaningful customer decisions before comparing plan limits.
Separate:
Do not choose 1,000 prompts simply because the plan allows 1,000 prompts.
Identify which AI surfaces customers actually use.
SE Visible currently covers five major surfaces.
If those five cover your acquisition environment, extra engine counts may add little value.
If Claude, Copilot, Grok, DeepSeek, or another platform is material, alternative coverage may become more important.
Map the countries and languages where AI recommendation differences materially affect revenue.
SE Visible currently publicly lists seven countries and five languages.
Dageno's standard plans currently list unlimited countries and languages.
Geographic scope should therefore be an explicit procurement criterion.
Test whether the tool identifies exact domains and pages that influence important answers.
Do not accept only a citation count.
You need:
SE Visible performs strongly here.
Document how many handoffs occur after an insight is detected.
If the workflow still requires:
then execution friction may be the reason to choose another system.
Determine whether you need reporting access or a broader automation layer.
SE Visible's current API is meaningful because it can both retrieve analytics and manage tracking entities such as prompts, topics, and competitor brands.
That can be valuable for custom research pipelines.
Determine whether the GEO platform itself must create the asset or only identify what needs to change.
Possible execution requirements include:
The more of these that need to live in one product, the more relevant execution-oriented alternatives become.
Decide how the organization will prove that a GEO intervention worked before buying the platform.
Potential metrics include:
Without attribution, optimization becomes a sequence of disconnected activities.

Dageno AI works as an SE Visible alternative by connecting real AI-answer monitoring with opportunity prioritization, specialized agent execution, content production, source strategy, and result attribution.
Dageno AI provides the workflow from data monitoring → strategy → content generation → result attribution.
Dageno's Answer Engine Insights monitors:
across real AI answers.
This stage answers:
Where are we winning or losing?
Dageno's AI Opportunity & Source Intelligence analyzes:
Its current opportunity-ranking methodology recommends scoring opportunities using:
This stage answers:
Which problem deserves resources first?
When content is the correct intervention, Dageno's AI Content Creator supports:
This stage answers:
Which asset should we build?
Not every AI visibility gap requires new content.
Dageno's current agent architecture includes:
This creates different execution paths for different root causes.
A citation gap may require a pitch.
A technical gap may require an audit.
A community gap may require social engagement.
A coverage gap may require content.
Dageno closes the workflow by re-measuring the signals connected to completed interventions.
Its current methodology explicitly frames monitoring data as the beginning of an operating loop rather than the final output and connects execution with subsequent visibility, citation, answer-position, referral, engagement, lead, and conversion signals where available.
The full workflow becomes:
Monitor → diagnose → prioritize → execute → measure → repeat
SE Visible remains a strong choice when the organization wants to own much of that downstream workflow itself.
Dageno becomes stronger when the organization wants more of the workflow connected inside one GEO operating system.
Ready to dominate AI search?
Get started - it's free! >A 30-day SE Visible alternative evaluation should compare how efficiently each platform moves the same AI-search evidence from monitoring through diagnosis, intervention, and follow-up measurement.
Select:
Record:
Use the same prompt portfolio across every platform.
Choose ten significant gaps.
For each gap, ask:
SE Visible should perform strongly during this phase because source, competitor, prompt, and sentiment analysis are core strengths.
Take three gaps and require a concrete action:
Measure:
This is where differences between monitoring-centric and execution-centric platforms become clearer.
Return to the same affected prompt clusters.
Measure:
Then calculate the percentage of interventions that reached a valid follow-up measurement.
Practical example: A source gap may not require content
Suppose SE Visible shows that your brand loses several prompts because a prominent industry publication repeatedly cites two competitors.
Your own website already has:
Creating another blog article may add little value.
The more appropriate intervention may be:
The correct GEO platform should help the team distinguish the visibility symptom from the actual intervention.
SE Visible source data becomes strategically useful when every cited domain is evaluated according to influence, relevance, controllability, and the commercial importance of the prompts it affects.
SE Visible already provides important raw evidence.
Its current source API can show:
A mature source strategy adds four questions.
A publication that appears in:
“What is CRM software?”
may be less important than one appearing in:
“Best CRM for enterprise financial services.”
Frequency alone does not determine business value.
A source may be:
The required tactic changes with control.
A source that repeatedly reinforces the market leader may deserve more attention than a source mentioning many unrelated companies.
The ideal source strategy creates a loop:
Source identified → action executed → source coverage changes → AI citation changes
Without this loop, source analysis remains research rather than optimization.
Original insight: Coverage-to-Credibility Matrix
Source strategy should distinguish coverage from credibility.
| Low credibility | High credibility | |
|---|---|---|
| Low coverage | Low priority | Strategic gap |
| High coverage | Noise risk | High-value authority asset |
A website may have high citation coverage but weak credibility for the relevant buyer.
Another source may appear infrequently but carry substantial category authority.
The objective is not simply to increase the number of sources mentioning the brand.
It is to improve the brand's presence in sources that AI systems and buyers plausibly rely on for important decisions.
A successful SE Visible alternative implementation should preserve useful monitoring, prompt, competitor, source, API, and reporting data while improving the strategy or execution layer that motivated migration.
Teams evaluating an SE Visible alternative can start with the Dageno AI free GEO report to determine whether the primary problem is visibility, competitor positioning, source authority, content coverage, execution capacity, or attribution.
The most common questions about SE Visible alternatives concern pricing, prompts, AI engines, competitors, citations, countries, languages, API access, Dageno AI, and whether SE Visible is part of SE Ranking.
Dageno AI is the best SE Visible alternative for teams that want AI visibility monitoring connected directly to opportunity prioritization, content execution, specialized agents, and result attribution.
Profound is stronger for enterprise AEO orchestration, Writesonic for SEO + GEO consolidation, Peec AI for focused analytics, and OtterlyAI for lightweight monitoring.
Dageno AI is better when execution and strategic prioritization are the main bottlenecks, while SE Visible is better when the organization primarily needs high-capacity monitoring, source intelligence, raw response data, and API-driven analytics.
The correct choice depends on whether the team needs more help collecting evidence or acting on it.
No, SE Visible is a dedicated AI visibility product built by the SE Ranking team, while SE Ranking is the broader SEO platform.
SE Visible's current website explicitly positions the product as powered by SE Ranking but built for AI search.
SE Visible currently costs $99/month for Basic, $189/month for Core, and $355/month for Plus on monthly billing.
The plans currently provide 200, 450, and 1,000 prompts respectively, with a 10-day free trial and an advertised 20% annual-billing discount.
SE Visible currently supports 200 prompts on Basic, 450 on Core, and 1,000 on Plus.
The corresponding public plans currently list approximately 12,000, 27,000, and 60,000 analyzed AI answers per month.
SE Visible currently tracks ChatGPT, Gemini, Google AI Mode, Perplexity, and Google AI Overviews on its public plans.
All three currently published paid tiers list the same five answer engines.
Yes, competitor benchmarking is a core SE Visible capability.
Teams can compare visibility, sentiment, prompts, and source patterns, while the API allows competitor brands and aliases to be added programmatically.
Yes, SE Visible's current API exposes share of voice alongside visibility, mentions, average position, and sentiment.
These metrics can be analyzed by prompt or aggregated topic.
Yes, SE Visible analyzes sentiment in AI-generated answers and uses it in brand and competitor analysis.
Current prompt results can be filtered by positive, neutral, or negative sentiment through the API.
Yes, SE Visible tracks the domains and URLs appearing as sources in AI answers.
Its source analysis includes citation frequency, prompt reach, page-level URLs, source categories, brand mentions, and competitor presence.
Yes, the SE Visible API can return full answer text and download the raw, unmodified LLM response for individual results.
This is useful for research teams that want to audit the underlying response rather than relying only on parsed metrics.
Yes, SE Visible currently has an API covering topics, prompts, brands, sources, subscription limits, and AI-result data.
The API can both retrieve analytics and manage tracking resources such as prompts, topics, and competitors.
Yes, the current SE Visible API can create prompts under a topic and move prompts between topics.
It can also create topics and manage competitor brands.
SE Visible's current public product page lists the US, UK, Canada, France, Germany, the Netherlands, and Spain for multi-country monitoring.
Organizations requiring a broader country footprint should verify current coverage before purchase because international support can expand over time.
SE Visible's current public product page lists English, French, German, Dutch, and Spanish for localized monitoring configuration.
The platform can generate localized topic and prompt suggestions for those supported configurations.
Yes, SE Visible is well suited to agencies that need multiple projects, client monitoring, collaboration, reporting, and high prompt capacity.
Its current positioning explicitly highlights multi-client management, dashboards, competitive gaps, collaboration, and exports for agency workflows.
Yes, Profound is a strong alternative for enterprise teams that need Agents, AI attribution, organizational controls, and broader AEO orchestration.
Its current self-service plans include 50 prompts on Starter and 100 prompts across three answer engines on Growth, while Enterprise supports up to nine answer engines and tailored organizational requirements.
Yes, Writesonic is a strong alternative when AI visibility needs to be combined with SEO, site audits, content generation, and agentic workflows.
Its current Starter plan includes 50 AI-search prompts, three AI environments, 15 monthly AI articles, and site auditing.
Yes, Peec AI is a strong alternative when the team wants focused daily AI-search analytics, unlimited users, and flexible project-based monitoring.
Its current standard tiers provide 50, 150, and 350 prompts with three selected models.
Yes, OtterlyAI is a practical alternative for smaller teams that want daily tracking, citations, prompt research, GEO audits, and reporting without SE Visible's larger intelligence footprint.
Current prompt limits are 15, 100, and 400 across Lite, Standard, and Premium.
No, mention count alone is not sufficient because teams also need position, share of voice, sentiment, citations, competitor context, and source influence.
SE Visible's own data model reflects this by exposing visibility, share of voice, average position, sentiment, brands, and cited URLs rather than relying on one metric.
No, more prompt capacity is useful only when the additional prompts represent strategically meaningful buyer questions and the organization can interpret and act on the resulting data.
A smaller high-intent prompt portfolio can create more value than a large collection of low-priority questions.
No, GEO does not replace SEO because technical accessibility, useful content, authority, search discovery, and clear entity information continue to influence how information is found and reused.
The practical change is that teams must now measure both traditional search performance and how AI systems mention, cite, compare, and recommend brands.
A company should measure success after switching from SE Visible by evaluating whether the replacement improves the specific bottleneck that motivated the migration.
Useful measures include:
The objective is not to recreate every SE Visible dashboard.
The objective is to improve the complete workflow:
data monitoring → strategy → content generation → result attribution
The following official and primary sources support the current SE Visible and alternative-platform details discussed in this article.
SE Visible – AI Visibility Platform
SE Visible – 2026 Product Plans and Capabilities
SE Ranking API – SE Visible Prompts
SE Ranking API – SE Visible Topics
SE Ranking API – SE Visible Brands and Competitors
SE Ranking API – SE Visible Sources
SE Ranking API – SE Visible Subscription and Limits
Profound – Pricing and Platform Capabilities
Writesonic – AI Search Visibility Pricing

Updated by
Ye Faye
Ye Faye is an SEO and AI growth executive with extensive experience spanning leading SEO service providers and high-growth AI companies, bringing a rare blend of search intelligence and AI product expertise. As a former Marketing Operations Director, he has led cross-functional, data-driven initiatives that improve go-to-market execution, accelerate scalable growth, and elevate marketing effectiveness. He focuses on Generative Engine Optimization (GEO), helping organizations adapt their content and visibility strategies for generative search and AI-driven discovery, and strengthening authoritative presence across platforms such as ChatGPT and Perplexity

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