See how AI answers describe your brand.
Track when ChatGPT, Claude, Gemini, Perplexity, and Grok mention your brand, cite your sources, recommend competitors, or leave you out entirely.
Free instant check — no signup or credit card required.
Evidence before score
Many tools show an aggregate score first. Prompts-GPT.com keeps answer excerpts, citations, and source context visible.
Prompt-to-monitor handoff
Prompt discovery, Prompt Studio, public checker, and saved monitors share the same buyer-question workflow.
Agent orchestration for execution
The CLI turns evidence into local agent runs, parallel reviews, pipelines, evals, and worktree diffs.
12
Configured engines
5
Core report surfaces
6
Free tools
23
Visibility metrics
Product proof
Teams need evidence they can explain fast.
The strongest product pattern is consistency: one place to see the answer, the cited sources, the competitor pressure, and the next action without opening five tools.
12
Configured engines
Pulled from the current product configuration instead of testimonials or unverifiable review counts.
5
Core report surfaces
Pulled from the current product configuration instead of testimonials or unverifiable review counts.
6
Free tools
Pulled from the current product configuration instead of testimonials or unverifiable review counts.
Most AI visibility tools stop at the dashboard.
Buyers now compare platforms across three tiers: monitoring-only tools, optimization layers, and enterprise suites. The wedge for prompts-gpt.com is simple: make the monitoring useful enough to ship fixes, not just report them.
Tier 1: Monitoring-only
Fast visibility snapshots, but limited help turning findings into content or implementation work.
Tier 2: Optimization platforms
Add content recommendations and audits, but often stop before implementation and proof workflows.
Tier 3: Enterprise suites
Broad reporting and large data layers, but usually expensive and harder to operationalize across smaller teams.
Monitor
Monitor with evidence
Track 23 metrics across 12 configured engines with prompt-level answer evidence, citations, and competitor context.
Optimize
Optimize with evidence
Turn misses into source fixes, FAQ updates, comparison pages, schema improvements, and prompt-gap prioritization.
Implement
Implement with evidence
Use content briefs, project workflows, free tools, and agent workflows to move from findings into shipped changes.
Orchestrate
Orchestrate with evidence
Run parallel agents, chain pipelines, and evaluate results via CLI so AI visibility gaps can become local implementation work.
Crawler proof is still thin
Competitive pages increasingly mention sources and citations, but the strongest buyer need is still a provable path from crawler reads to answer evidence and page fixes.
Prompt intelligence is fragmented
Otterly, Peec, Semrush, Ahrefs, and Profound all emphasize prompt or question tracking. The gap is turning discovery prompts into saved monitors, briefs, and implementation queues.
Traffic attribution is inconsistent
AI referral conversion research is directionally strong but varies by study and industry. Product copy should show attribution as a workflow, not a guaranteed conversion multiplier.
Implementation is the missing layer
Most platforms can identify misses and recommendations. Buyers still need a workflow that creates briefs, schema tasks, comparison pages, source outreach, and validation runs.
No agent orchestration for visibility
Multi-agent coding tools are growing quickly, and AI visibility platforms are adding recommendations. Public competitor materials do not show a visibility-focused CLI with parallel, pipeline, and eval modes.
MCP is becoming table stakes
Peec AI launched MCP integration (33 read + 17 write tools) in April 2026 for all paid plans. Qwairy offers REST API + MCP. Dashboards alone are no longer enough — SDK and MCP-style access make visibility evidence usable inside content, engineering, and reporting workflows.
Brand monitoring tools are converging on AI
Yext Scout, BrandBeacon, Trackerly, and ClayHog now offer AI-specific brand monitoring alongside traditional brand tracking. The category boundary between brand monitoring and AI visibility is dissolving.
Keyword-to-prompt expansion eliminates setup friction
SEOmonitor generates 50K+ prompt variations per keyword automatically. This eliminates the manual prompt setup barrier that slows adoption on prompt-based platforms.
AboutWhat is Prompts-GPT.com?
Prompts-GPT.com is an AI search visibility platform that monitors how brands appear in AI-generated answers across ChatGPT, Claude, Gemini, Perplexity, and Grok. It tracks 23 visibility metrics including brand mention rate, citation share, competitor displacement, sentiment analysis, citation velocity, and prompt-space occupancy. The platform combines monitoring, optimization, implementation, and local agent orchestration so missed mentions can become content briefs, schema fixes, outreach targets, and verified implementation runs.
Category: AI Search visibility platform — monitoring + optimization + implementation
Engines: ChatGPT, Claude, Gemini, Perplexity, Grok + 7 more (12 total, no per-engine surcharges)
Free tools: 6 tools, no signup required
Pricing: Free tier plus Starter $99/mo, Pro $249/mo, Agency $579/mo.
Market context: AEO and GEO tooling is an emerging high-growth category; research quality varies, so the product emphasizes prompt-level evidence instead of unsourced guarantees.
Unique: CLI agent orchestration (parallel, pipeline, eval modes), self-evaluation scoring, cross-OS support
The AI visibility gap
Traditional SEO rankings don't guarantee AI citations.
15–48%
Public trackers show wide variance in Google AI Overview prevalence. Treat query-set and industry ranges as directional, not universal.
12
Configured answer engines are documented in the live product model and should be monitored with plan-specific engine caps.
5
Starter plan coverage begins with five core recurring report surfaces: ChatGPT, Google AI, Gemini, Perplexity, and Grok.
23
Documented visibility metrics are measured from saved answer evidence rather than from a single vanity score.
6
No-signup free tools give teams a public baseline before they commit to recurring monitoring.
25+
Funded and bootstrapped AI visibility vendors now compete across monitoring, optimization, and enterprise-suite categories.
The questions that matter
Know what AI says about your brand — before anyone else does.
Every day, people ask AI assistants about your category, your competitors, and your products. The answers they get shape perception and decisions before anyone visits your website.
Is AI recommending your brand?
Find out when ChatGPT, Claude, or Perplexity mention, rank, cite, or skip your brand across the prompts that define your category.
Which sources does AI trust?
Discover the pages, reviews, directories, and competitor URLs that shape how AI engines answer questions about your category.
What prompts matter for your market?
Map the comparison, alternatives, recommendation, and high-intent questions where AI visibility determines who gets mentioned.
What should you fix first?
Get a prioritized action queue — missing mentions become comparison pages, schema fixes, outreach targets, and content briefs.
What gets tracked
Every signal behind AI-driven brand discovery.
Go beyond vanity scores. Track the prompt asked, the answer generated, the competitors mentioned, the sources cited, and the specific actions that will improve your next AI answer.
Share of answer
Measure how often your brand is mentioned, ranked, and recommended against named competitors for the same category prompts.
Citation gap
See which owned pages, review sites, directories, forums, and media sources AI answers cite for competitors but not for you.
Prompt coverage
Group category, alternative, comparison, problem-aware, and research prompts so reporting matches real discovery journeys.
Action backlog
Turn misses into prioritized comparison pages, FAQs, schema fixes, llms.txt updates, media outreach, and content briefs.
Narrative drivers
Identify the domains, prompts, and sentiment patterns driving brand perception across AI answers. Surface top narrative contributors.
Prompt gap analysis
Find prompts where competitors are mentioned but your brand is absent. Turn coverage gaps into content briefs and outreach priorities.
Social thread intelligence
Track Reddit, Hacker News, LinkedIn, and other social threads that AI models cite during training. Identify discussions where your brand should be present.
Citation quality scoring
Score content across 6 dimensions AI engines reward: fact density, structured data, entity clarity, named frameworks, freshness, and answer readiness.
AI traffic attribution
Connect AI citations to site visits and conversions. Treat AI referral lift as a measured analytics workflow because conversion benchmarks vary by study, industry, and attribution method.
Citation velocity tracking
Measure week-over-week citation momentum. Know whether your brand is gaining or losing ground in AI answers — trajectory matters more than snapshots.
Beyond monitoring
Most tools show the problem. We help you fix it.
Most AI visibility tools hit a monitoring ceiling — they show accurate data but leave teams without clear next steps.
Monitoring-only tools
Show you're invisible in AI answers — then leave you with a dashboard and no action plan. Teams hit a ceiling where data is accurate but next steps are unclear.
Prompts-GPT.com
Turns every missed mention into a specific content brief, schema fix, comparison page, or outreach target. Monitoring + optimization + implementation in one workflow.
Monitor
Track brand mentions, citations, and competitors across AI answers — the table stakes every tool offers.
Optimize
Score content for citation readiness, identify prompt gaps, and prioritize fixes based on competitive evidence.
Implement
Generate content briefs, FAQ structures, schema recommendations, and outreach targets directly from answer gaps.
How it works
From blind spots to action items in three steps.
A visibility score alone doesn't help your team. You need to know exactly which prompts matter, what evidence exists, and what to fix next.
Map your prompt landscape
Identify the category, comparison, alternative, and intent-driven prompts that matter most for your brand's AI visibility.
Collect answer evidence
Run recurring checks across AI engines and capture exact mentions, rankings, citations, and competitor context from every answer.
Prioritize and fix
Turn gaps into a prioritized action queue — comparison pages, schema fixes, llms.txt updates, media outreach, and content briefs.
AI Visibility metrics
Metrics built for AI search, not traditional SEO.
Track what's actually in the AI answer — mentions, citations, competitors, sentiment, and source quality across every engine.
AI Visibility Score
BaselineA rollup score for whether the brand is mentioned, cited, recommended, and framed well across monitored prompts.
Brand Mention Rate
PresenceHow often the brand appears in AI visibility answers across the tracked prompt set.
Answer Position
PresenceAverage placement when the answer lists vendors, products, agencies, or recommended sources.
AI Share of Voice
CompetitionThe brand's share of answer mentions compared with named competitors in the same prompt cluster, weighted by prompt intent and audience reach.
Narrative Drivers
MessageTop cited domains and specific prompts shaping the brand's story, revealing influential publishers for outreach and the exact queries driving conversation.
Source intelligence
Understand why AI cites a competitor instead of you.
AI answers don't just pick brands randomly. They're shaped by owned pages, third-party reviews, community discussions, and competitor content. Understanding these sources is the key to improving your AI visibility.
Your pages
Product, docs, pricing, support, and comparison URLs you control.
Third-party proof
Reviews, directories, news, podcasts, and partner pages that validate your brand.
Community sources
Forums, social discussions, videos, and practitioner guides where your audience engages.
Competitor pages
Alternative, feature, pricing, and category pages that shape how AI contrasts your brand.
Example action queue
Prioritized fixes from real evidence
Unique to Prompts-GPT
Agent orchestration via CLI.
Race agents in parallel, chain pipelines, or run eval scoring from your terminal. Competitive research found strong monitoring and recommendation features across Otterly, Peec, Profound, Semrush, Ahrefs, and Searchable, but not a visibility-focused CLI that turns answer gaps into local parallel, pipeline, and eval runs.
Quick start
npx prompts-gpt orchestrate --mode parallelParallel execution
Race multiple AI agents simultaneously, score results, and pick the best output. Ideal for A/B testing visibility fixes across different models.
npx prompts-gpt orchestrate --mode parallelPipeline chaining
Chain agents sequentially with context passing. Each phase builds on the previous output — audit, then optimize, then verify.
npx prompts-gpt orchestrate --mode pipelineEval scoring
Run and evaluate with configurable criteria. Score agent outputs against visibility benchmarks, citation readiness, and content quality.
npx prompts-gpt orchestrate --mode evalThe attribution gap
AI traffic is invisible in your analytics.
AI referrals are still hard to measure because platforms, browsers, and analytics tools do not preserve attribution consistently. Treat visibility monitoring as upstream evidence: what answers appeared, which sources were cited, and which prompts deserve conversion analysis.
Prompt evidence
before traffic evidence
Know which buyer questions mention you before trying to explain downstream attribution.
Source evidence
before conversion claims
Separate owned, competitor, review, community, and media sources so teams know what shaped the answer.
Repeat checks
before trend claims
Run the same prompt set over time so movement is not confused with one-off model variance.
UTM hygiene
for known campaigns
Pair AI visibility monitoring with clean landing pages, UTMs, and assisted-conversion reporting where possible.
Dark traffic review
for analytics teams
Review direct and referral traffic spikes against visibility scans instead of assuming attribution is complete.
Revenue context
for executives
Use AI visibility as an influence signal that should be connected to CRM and analytics data, not as a standalone ROI promise.
Why AI visibility still matters
AI referral traffic is growing, but exact conversion multipliers are not stable enough for homepage promises.
Current 2026 tracker coverage points in the same direction: AI referrals are rising and often arrive with stronger intent than broad organic traffic, but platform-by-platform conversion rates vary materially by source, attribution setup, and industry.
Rising
Signal
Independent referral trackers and vendor benchmark coverage both show AI-driven visits increasing in 2026.
Directional
Signal
Use your own analytics stack to validate conversion impact by engine, landing page, and prompt group.
Measured
Signal
Treat visibility scans as upstream evidence and connect them to UTMs, CRM data, and assisted-conversion reporting before making ROI claims.
Sources reviewed May 20, 2026: Google Search Central guidance, Statcounter referral reporting, BrightEdge Q1 2026 referral coverage, and Searchless cross-platform conversion analysis.
Platform features
Built for teams that need more than a dashboard.
Most AI monitoring tools stop at showing you a score. We give you the operating layer — prompt evidence, citation intelligence, trend history, exports, and free tools for the whole team.
Prompt coverage mapping
Map every category, comparison, alternative, and high-intent prompt across the AI engines that matter for your brand.
Presence scoring
Measure brand mentions, answer rank, share of answer, sentiment, and competitive pressure from actual AI-generated answers.
Citation intelligence
See exactly which pages, reviews, forums, and directories AI engines cite — and which ones they trust for your competitors.
Crawler evidence
Connect AI crawler visits with answer mentions and citation patterns to understand what influences your discoverability.
Action briefs
Turn every gap into a specific action — comparison pages, FAQ updates, schema fixes, source outreach, and editorial briefs.
Competitor tracking
See which competitors get mentioned alongside you, which prompts they dominate, and where you can close the gap.
Get started in 3 steps
1. Free check
Run an instant AI visibility check for any domain — no signup required, with six public free tools available today.
2. Create a project
Set up your brand, competitors, and target prompts to start tracking. Auto-detect industry and generate relevant prompts in under 60 seconds.
3. Monitor & improve
Get recurring reports, action briefs, and alerts with evidence-based priorities. Unlike monitoring-only tools, every gap becomes a specific fix.
6 free tools, no signup required
Most competitors offer 0–1 free tools. Prompts-GPT.com keeps 6 entry tools available without signup: visibility checks, market research, GEO scoring, prompt generation, llms.txt drafting, and Codex launching.
Market context
How the AI visibility market is evolving in 2026
AI search is now a serious discovery channel, but exact adoption, conversion, funding, and prompt-database claims vary by source. The practical buyer question is simpler: which answers mention you, which sources are cited, and what implementation work can improve the next run?
AI Mode
SearchGoogle AI Mode and AI Overviews make generated answers part of mainstream search behavior.
Prompt tracking
MonitoringSemrush, Peec, Otterly, Ahrefs, Profound, and Searchable all show that prompt-level visibility is now table stakes.
Sources
EvidenceThe cited-domain layer matters because answers are shaped by owned pages, reviews, communities, media, and competitor content.
Actions
ExecutionThe durable gap is moving from findings into briefs, schema, comparison pages, source outreach, and validation.
Agents
OrchestrationMulti-agent coding tools are expanding quickly; visibility workflows should use them to implement and evaluate fixes.
Attribution
MeasurementAI referral conversion research is promising but variable, so visibility reporting should connect to analytics instead of replacing it.
GEO research (2026)
The signals that earn AI citations.
Research across thousands of AI citation events identified the content patterns and technical signals that determine whether AI engines cite your content. Our GEO Content Scorer and content briefs are built on this evidence.
High
Entity clarity
Recurring AEO and GEO guidance pattern
High
Answer-ready structure
GEO research and practitioner audits
High
Fresh citations
AI citation and source-quality studies
High
Third-party proof
Answer engine source analysis
Medium
Schema and metadata
Technical SEO and AEO guidance
Medium
Owned canonical pages
Brand source hygiene audits
Medium
Community source coverage
Reddit and forum citation discussions
Emerging
llms.txt and source maps
AI-readable discovery file guidance
Your competitors are already in the answer. Are you?
Run a free AI visibility check and see exactly how AI engines describe your brand today.
Platform presence across AI engines
ChatGPT
Mention rankTrack recommendations, alternative comparisons, and category mentions.
Claude
PositioningMonitor research-style evaluations and reasoning-led positioning.
Gemini
Source fitSee Google-connected summaries, entity clarity, and source-backed discovery.
Perplexity
CitationsAnalyze citation-led answers, source visibility, and competitor mentions.
Grok
RecencyTrack real-time web synthesis, trending awareness, and news-driven recommendations.
FAQ
Everything you need to know about AI visibility.
What is AI visibility?
AI visibility is how your brand appears in AI-generated answers. When someone asks ChatGPT, Claude, or Perplexity about your category, AI visibility determines whether you get mentioned, recommended, or left out entirely.
Why does AI visibility matter for my brand?
More people are using AI assistants to research products, compare options, and make decisions. If AI doesn't mention your brand in category and comparison prompts, you're invisible to a growing share of your audience.
Which AI platforms should I monitor?
Focus on the AI engines your audience uses most. ChatGPT, Claude, Gemini, Perplexity, and Grok each generate different answers from different sources — tracking all of them reveals the full picture.
How is AI visibility different from SEO?
SEO tracks search rankings and organic traffic. AI visibility tracks the generated answer itself — whether you're mentioned, what competitors appear alongside you, which sources get cited, and how sentiment shapes recommendations.
Can I improve my AI visibility?
Yes. AI answers are shaped by the sources they cite — your website, reviews, directories, forums, and media coverage. By strengthening these sources and filling content gaps, you can influence how AI describes and recommends your brand.
How do I get started?
Run a free visibility check with your domain — no signup required. You'll see a live snapshot of how AI engines currently describe your brand, which sources they cite, and where the biggest opportunities are.
Research-backed positioning
What the competitive audit changed.
The category is no longer just dashboards. Current leaders cover prompt tracking, share of voice, sentiment, sources, exports, and recommendations. Prompts-GPT.com should win by proving the next layer: implementation and orchestration from the same evidence.
2026 category comparison
Dedicated GEO tools are compared against SEO-suite add-ons, with Otterly, Peec, Profound, Semrush, Ahrefs, and other vendors evaluated on citation depth, audit coverage, and reporting.
AI Search Visibility 2026 comparison, reviewed May 20, 2026
Monitoring vs action platforms
The category is splitting between monitoring-only products and action platforms that add discovery, response generation, monitoring, and reporting. This supports positioning Prompts-GPT.com around the implementation layer.
MentionLayer AI visibility tools comparison, reviewed May 20, 2026
User complaint pattern
Practitioners complain that many AI visibility tools are interesting in theory but still do not fit a normal workflow. The product should make recurring prompts, evidence, and next actions visible instead of ending at an aggregate score.
Reddit practitioner thread, reviewed May 20, 2026
Measurement uncertainty
Research warns that single-run visibility metrics can be misleadingly precise. Prompts-GPT.com should label free-checker scores as directional and emphasize repeated monitors, evidence confidence, and citation quality.
Quantifying Uncertainty in AI Visibility, arXiv, reviewed May 20, 2026