Scorecard measures where you stand. Search Tracker watches the prompts that matter every day. AI Ranking pulls your real Search Console queries and runs them through four AI models behind five independent brand-safety checks. Autopilot ships the technical fixes through an approval workflow with auto-rollback. Content Engine generates quality-gated pages. Strategy Advisor synthesizes the signal. Visibility Trends proves what worked. Competitor Heatmap and AI Market Intel map your whole category, and Citation Gap Analysis shows where to earn the citations you’re missing. Everything you need to win the top slot in AI search.
The AI Visibility Scorecard runs 12 buyer-intent queries across ChatGPT, Gemini, Claude, and Perplexity. Every query is generic to your category. None of them mention your brand. The result is an unbiased view of whether AI actually recommends you when buyers ask real questions.
Most brands do not know where they stand in AI search until they run their first scorecard. The scorecard gives you the answer in 60 seconds across three pillars: AI Visibility (whether AI recommends you, with AI Favorability on how positively it describes you), AI Readiness (an on-site check of crawler access, schema, llms.txt, and freshness), and a Google AI Overview view. When no AI model mentions you, it says “No mentions” honestly rather than scoring you as negative.
Every paid plan includes unlimited scorecards. Free users get one scorecard to see their visibility category.
The Scorecard is a snapshot. AI Search Tracker is the movie. Add up to 100 custom buyer-intent prompts, and TopSlot queries all 4 AI models daily (four times a day at 00:30, 06:30, 12:30, and 18:30 UTC on Agency). You see which prompts you win, which you lose, when competitors overtake you, and which fixes moved your visibility.
Three variance layers run on top of the daily snapshots. Prompt variation generation rephrases prompt variations weekly to surface rephrasing-sensitivity (Growth and above). Time-of-day stability scoring computes a stability score per prompt by comparing the four daily snapshots on Agency, so you know which trend lines are signal and which are model-load noise. Geographic variance runs proxy-rotated US/UK/IN snapshots on Agency to expose regional competitor differences. Tracker data is consumed in parallel by Strategy Advisor, Content Engine, and Visibility Trends. No engine drives another's decisions.
Pre-built prompts are guesses. Real GSC queries are evidence. AI Ranking pulls every query that drove an organic impression in the last 28 days, removes anything containing your brand name through five independent checks, ranks what remains by impact, and asks the top 30 of ChatGPT, Claude, Gemini, and Perplexity.
Every result is labeled with one of four citation states: Cited with link (your site appears as a clickable source), Named only (your brand is named but not linked), Described but not named (the answer describes exactly what you do without saying your name), or Not mentioned. That third state catches recoverable visibility most other tools miss.
Autopilot is the execution layer that separates TopSlot from every other AI visibility tool. One pixel plus an NPM server adapter cover both client-rendered and server-rendered fixes. Adapters ship for Next.js, Express, Remix, and Nuxt.
An AI Render Report shows exactly what AI crawlers that don’t run JavaScript actually receive from each page, next to what a browser renders — so you can see the render gap before it costs you a citation, then close it server-side. Six locked sub-features keep deploys honest. AI bot-crawl detection catches AI bot crawls server-side. Hybrid fix delivery ships fixes through the hybrid pixel + NPM model. The deploy-approval workflow routes every fix through tier-gated quotas (1/1/5 per day) and keeps a full history of every change so anything can be rolled back. The verifier + auto-rollback checks every deployed fix every 10 minutes against your rendered HTML and auto-rolls back regressions with a 24-hour alert throttle. The AI bot-crawl tracker tracks which AI bots crawl which pages (GPTBot, ClaudeBot, PerplexityBot, Google-Extended). The cross-platform deployment dashboard is Agency-only.
<!-- TopSlot AI Autopilot --> <script src="https://cdn.topslot.ai/pixel.js" data-site-id="SITE_ID" async></script>
Not a blank-canvas writer. A six-stage content operations system. Portfolio classification classifies every page on your site as winning, opportunity, underperforming, dormant, or neutral. Optimize / create / retire recommendations come with locked dedup precedence (retire > optimize > create) so you don't get conflicting suggestions on the same topic. Strategic brief generation produces 9-section briefs with an approval workflow.
AI draft generation is where most other tools fail. The AI writes finished HTML and JSON-LD from an approved brief, and the output must score at least 60 across eight quality dimensions (citation likelihood, intent match, schema validity, keyword coverage, internal links, length, readability, originality). Drafts that fail are refused and sent back naming the dimension they fell short on, so you never receive bad content. Automatic topic clustering groups your full portfolio into its 11 natural content types and maps the internal links between them. The performance loop baselines every published piece and snapshots performance at day 7, 14, and 30, retuning what the briefs prioritize each month within a strict ±3 point limit so a few outliers can never swing it.
Data without interpretation is noise. The Strategy Advisor ships five distinct intelligence layers. The weekly briefing generates a Wins/Alerts/Opportunities summary every Monday morning. Daily predictions forecast every tracked prompt with locked confidence levels (high ≥0.85, medium-high 0.70–0.85, medium 0.55–0.70, low <0.55). Anomaly detection fires alerts only when volume + rank + citation drops happen together in the same window, severity 2/3/4, capped at 5 active per brand to prevent alert fatigue.
Counterfactual modeling completes the picture. Ask the Advisor what would happen if you publish three FAQ pages next week and it projects impact across 1, 7, 30, and 90-day windows using your tracking history as the baseline. White-label client reports bundle all of this into a monthly white-labeled PDF per client brand on Agency, with cross-tenant isolation enforced at the data layer. The Advisor describes what your data is doing, while Autopilot and the Content Engine ship the fixes. (By design, it synthesizes, never prescribes.)
Single-point data is vanity. Trend data is strategy. Six sub-features stitch together every visibility-relevant event in your brand's life. The unified timeline pulls AI mentions, schema fixes, content publishes, rank changes, external industry events, and calibration corrections into one view. The external event overlay layers in algorithm updates and news cycles so you can see when industry shifts moved your score. Cause-effect attribution ties each move in your visibility to the specific actions that preceded it, across 7, 14, and 30-day windows against a 28-day baseline. Forecast-accuracy tracking compares what we predicted against what actually happened, daily.
The brand-health composite + executive reports roll everything into a daily categorized brand health composite (Strong / Moderate / Weak / Critical) across five dimensions (mentions, citations, prominence, sentiment, freshness) and ship a weekly executive-brief PDF every Friday at 11 AM UTC for Agency tier. (By design, Visibility Trends DESCRIBES, never PRESCRIBES — the same rule as the Advisor.)
Your visibility score in isolation is only half a decision. The Competitor Heatmap puts your tracked buyer queries on one axis and your chosen competitors on the other, so you can see at a glance where you win the AI answer, where it's contested, and where a rival owns it outright.
Every competitor and every referring domain also carries an AI authority score and a spam-risk flag, so you chase citations from sources worth having and defend the queries that actually move buyers.
Brand-only measurement is a mirror. AI Market Intel is a map. It zooms out to the whole category: a ranked league of who AI mentions most, the sources AI cites for its answers, the buyer prompts with real demand, and the citations gained or lost across your market this week.
Because it tracks new and lost citations over time and reaches back before you signed up, it doubles as an early-warning system. You see a challenger climbing or a source gaining authority while there's still time to respond.
AI cites sources. If your competitors sit on the review sites, directories, and editorial pages AI trusts and you don't, you lose the answer before it's written. Citation Gap Analysis pulls the domains that cite your competitors, subtracts the ones already citing you, and hands you the gap, ranked by how many rivals each source backs.
Every gap is categorized by content type (business listings, B2B directories, guest posts, news, reviews, forums), and the earnable ones route straight into the Content Engine, so the roadmap becomes publish-ready content instead of another to-do list.
Every feature above is free to preview on the scorecard. Run yours in 60 seconds, see the data for your brand, decide from there.