Evidence-first AI visibility workflow.
Use this playbook to connect prompt discovery, recurring monitors, answer evidence, citation repair, alerts, exports, and agent orchestration into one operating loop.
Brand keyword detected in API response text. Limitation: keyword matching cannot always distinguish genuine recommendations from passing references.
Expand category and comparison prompts where the brand is absent. Validate findings by checking consumer interfaces manually.
URLs extracted from API response text, classified by domain pattern. Limitation: API citations may differ from consumer-interface citations.
Prioritize source fixes before treating score movement as durable. Cross-reference with actual consumer interface citations.
Brand position estimated from text analysis. Limitation: AI responses don't have formal rankings — position is inferred from mention order.
Write comparison proof and objection handling for prompts competitors win. Verify position manually in consumer interfaces.
Content freshness assessed from page content. Limitation: does not verify actual crawler access or index status.
Refresh answer-ready sections and validate crawler access after publishing.
Run the same prompt on competitors
One score is directional; comparison shows whether the category answer favors another brand and which prompt should become a recurring monitor.
Save recurring prompts as monitors
Turn high-value prompts into a daily monitor so answer changes become trend evidence. AI Overview prevalence varies materially by industry and query set — track whether you appear.
Export shareable proof
Use markdown, JSON, CSV, or PDF artifacts when the answer must reach stakeholders. Reports include citations, sentiment, and competitive context.
Run CLI agent orchestration
Use `npx prompts-gpt orchestrate --mode eval` to race agents, score results, and automate visibility workflows from your terminal.
Competitor overtake
Competitor appears ahead of the brand in 2+ saved prompts. Send to weekly report and mark as warning immediately.
Citation loss
Owned citation share drops below 25% or loses a key URL. Notify content owner with source and prompt context.
Sentiment drop
Negative or mixed answer framing appears on buying-intent prompts. Open a remediation brief before the next stakeholder report.
Evidence confidence
Fewer than 4 saved answers or fewer than 2 engines for a priority prompt. Keep the alert in watch state until the next scan validates the movement.
Executive
Score movement, competitor risk, business impact, and top three decisions.
SEO and Content
Prompt gaps, source quality, citation repair, and content backlog.
Agency Client
Before/after evidence, competitor movement, and monthly action plan.
Source Repair
Owned citation loss, third-party trust gaps, source freshness, and the pages to update first.
Executive Decision
One-page narrative with confidence, competitor pressure, AI-referral opportunity, and the three decisions leadership needs to make.
What this sweep should prioritize now
The 2026 market has moved toward assistant-native workflows, clearer pricing signals, and stronger confidence framing. These are the changes that should shape product, docs, and conversion work first.
Semrush normalized bundled AI visibility packaging
Reviewed 2026-05-24Semrush now openly segments free snapshots, a $99/month AI Visibility Toolkit, and Semrush One from $199/month.
Prompts-GPT should keep pricing pages explicit about when users get one-off diagnostics, recurring monitors, and implementation workflows instead of hiding packaging behind generic plan copy.
Semrush AI Visibility featuresPeec made assistant-native workflows part of the core story
Reviewed 2026-05-24Peec publicly documents MCP access, metric definitions, and prompt workflows for assistants like Claude and Cursor.
Prompts-GPT needs to keep prompt-to-monitor and CLI orchestration handoffs obvious on public pages instead of assuming buyers will infer them from docs alone.
Peec AI MCP docsOtterly still wins on simplicity but exposes scaling friction
Reviewed 2026-05-24Otterly's public pricing stays easy to understand at $29/month entry, but prompt caps and paid engine add-ons remain the visible tradeoff.
Prompts-GPT should keep engine breadth, free-tool value, and monitor guidance clear enough that buyers see the difference between a starter check and a usable recurring workflow.
OtterlyAI pricingBuyer trust now depends on confidence framing
Reviewed 2026-05-22Recent AI visibility research keeps warning that one-off scores look more precise than they really are.
Free-tool and reporting surfaces should keep calling scores directional until repeated prompts, engine breadth, and source quality support a stronger claim.
Quantifying Uncertainty in AI VisibilityThe category is splitting into monitoring versus operating layers
Reviewed 2026-05-22Current comparisons increasingly separate monitoring-only dashboards from platforms that help teams publish fixes, compare sources, and operationalize the next step.
Prompts-GPT should lean harder into full-loop positioning: discovery, monitoring, source repair, exports, and local implementation orchestration.
MentionLayer AI visibility tools comparedScrunch moved entry pricing higher but made packaging easier to compare
Reviewed 2026-05-22Scrunch now exposes Starter and Growth plans with prompt, persona, audit, and seat allowances on one public page, making the cost of broader monitoring easier for buyers to judge upfront.
Prompts-GPT should keep recurring-monitor capacity, proof exports, and implementation workflow language concrete so buyers can compare operational value, not only feature lists.
Scrunch pricingAhrefs is widening the category into search-backed AI visibility research
Reviewed 2026-05-22Brand Radar now leans on a 400M+ prompt database, free AI visibility previews, and cross-surface source tracking that extends beyond LLM-only dashboards.
Prompts-GPT should keep prompt-level evidence, source classification, and recurring monitor handoff visible enough that buyers understand where workflow depth beats broad discovery datasets.
Ahrefs Brand RadarCLI verification
Run npx prompts-gpt orchestrate --mode eval --dry-run --eval-criteria correctness,risk from a synced workspace to verify the orchestration path before executing real agents.