How It Works

TopSlot is the AI Search Optimization Platform. Here is how we measure, fix, and optimize your AI visibility across ChatGPT, Claude, Gemini, and Perplexity. Unlike traditional SEO tools that track Google rankings, TopSlot specifically tests how AI models respond to real buyer-intent queries, either generated from your brand profile (Scorecard, Search Tracker) or pulled from your live Search Console data (AI Ranking). The result is either your AI Visibility Scorecard (a single composite score from 0 to 100) or a per-query citation map across four AI models. Five independent brand-safety checks guarantee no query containing your brand, a competitor, or your domain ever reaches a model.

Auto-Detect Brand Information

Enter your brand name or website URL, and TopSlot automatically gathers key details about your business. We detect your industry, primary products or services, target audience, key competitors, and relevant keywords. This eliminates manual setup and ensures the audit is tailored to your brand from the start.

Generate Smart Prompts (or Pull Real GSC Queries via AI Ranking)

TopSlot ships two query-source paths. The default is Smart Prompts: based on detected brand information, the system generates a diverse set of natural-language prompts covering three core intent types:

• Buyer Discovery queries (“What is the best tool for X?”)
• Category queries (“Which services are available for Y?”)
• Decision Support queries (“How does Brand A compare to Brand B?”)

The alternative is AI Ranking: instead of generating prompts, the platform pulls every query that drove an organic impression to your site in the last 28 days from Google Search Console. Real buyer questions from real organic traffic, not synthetic guesses. Both paths feed the same measurement process from here on.

Five Independent Brand-Safety Checks

Before any query reaches an AI model, it must clear five independent checks, from exact spelling all the way through to meaning. The first check that flags a query removes it. This is the guarantee behind the “zero brand name in any query” methodology.

• Check 1. Exact name match. Catches your brand, your competitors, or your domain name written out in full.
• Check 2. Misspellings. Catches typos and near-misses that are one character off (e.g. “topslott”).
• Check 3. AI review. An AI model reads the remaining queries in batches and flags brand references written in ways the first two checks can't see.
• Check 4. Final gate at send time. One last name check the instant before a query leaves for an AI model. Last line of defense.
• Check 5. Meaning-level match. Compares the query against a learned representation of what your brand is, catching descriptive references that never spell your name at all.

In steady state, nothing should ever reach that final gate. If anything does, we are alerted the same day and tighten the earlier checks, because a leak there means coverage upstream has slipped.

Query AI Models

Each surviving query is sent to ChatGPT, Claude, Gemini, and Perplexity with web search enabled where the model supports it. The full response text is kept for every query on every model, so your past runs can be re-read against improved scoring later instead of being lost.

Extract Mentions, Prominence, Citations, and Sentiment

For every AI-generated response, the extractor pulls four signal types:

• Mentions (M): whether your brand was named, anywhere in the response.
• Prominence (P): where your brand appeared. 100 points if first, 75 if top-3, 50 if top-5, 25 if mentioned at all, 0 if absent.
• Citations (C): whether your domain appeared as a link or URL in the response.
• Sentiment (S): the tone of the mention. Positive = 100, neutral = 50, negative = 0.
• Competitor presence: which tracked competitors appeared in the response and how they were positioned, recorded for every query on every model so the ownership matrix can be rebuilt at any time.

Label Citation State (AI Ranking) or Calculate the Visibility Score

AI Ranking labels every query on every AI model with one of four exclusive citation states:

• Cited with link: your site appears as a clickable source in the answer.
• Named only: your brand name appears in the answer, with no link back to you.
• Described but not named: the answer describes exactly what you do and where you sit in the category, without ever saying your name. The most recoverable state, and the one most tools never show you.
• Not mentioned: none of the above.

Scorecard and Search Tracker runs compute the composite AI Visibility Score and surface it as a category (Strong / Moderate / Emerging / Weak / Not visible). The Score is intent-weighted: Mentions carry the most weight and are scaled by buyer intent, so being named when a buyer asks a high-intent "which should I buy" question counts most. Prominence (where you land in the answer) comes next, then Citations and Sentiment as smaller refinements, with honesty caps on thin evidence. We publish the factors, not the exact coefficients.

Generate Actionable Recommendations

Five prioritized recommendations are generated at the end of every paid run, each tagged to one of five categories:

• Schema: FAQPage, Organization, Article, Product schema gaps the pixel can deploy.
• Content: create / optimize / retire actions surfaced by the Content Engine's portfolio review.
• Citation: external sites that cite competitors but not you, and the press-release-shaped angle for each.
• Freshness: dateModified updates and content refreshes for pages AI models have started ignoring.
• Technical: robots.txt, llms.txt, and crawler-config fixes the pixel can ship without a developer.

Every recommendation is ranked by how much it is estimated to move your visibility on the next run, and assigned to the system that ships the fix, Autopilot for technical/schema/freshness, the Content Engine for create/optimize/retire.

Execute Without a Developer

This is where most AI visibility tools stop. TopSlot does not. Install the Autopilot pixel on your site in 2 minutes, plus an optional server-side add-on for Next.js, Express, Remix, or Nuxt to catch fixes the browser never renders. Every recommendation flows through an approval workflow that keeps a full history of every change, so anything can be rolled back. Once approved, the fix goes live, gets re-checked against your live pages every 10 minutes, and is rolled back automatically if it stops working. Schema markup, llms.txt, robots.txt, FAQ pages, comparison content, all live, all versioned, all trackable. No developer required.