How to Improve Your AI Visibility Score: A Practical Playbook
You ran a scorecard, you saw a number, and now you want it to go up. Fair enough. The good news is that the levers that improve your AI visibility score are concrete and learnable. The honest news is that none of them are one-click switches, and anyone promising you a guaranteed jump is selling you something.
Your AI Visibility Score is the 0-100 headline number that summarizes how prominently and positively AI assistants like ChatGPT, Gemini, Claude, and Perplexity feature your brand when real buyers ask generic questions about your category. Every audit query is a buyer-intent question that never names your brand, so the result reflects what a genuine prospect actually sees. That design choice matters for improvement, because it means you cannot game the number by talking about yourself. You have to earn your way into the answer.
This playbook walks the factors that build the score, in order of how much they move it, then covers the two readiness layers underneath. If you haven't run a baseline yet, start with a free AI visibility scorecard so you know where you actually stand.
Start with what the score is actually measuring
Before you optimize anything, understand the shape of the number. The score comes from TopSlot's measurement system, the AI Visibility Index, and it is intent-weighted — the factors are not equal:
- Mentions carry the most weight — roughly four-fifths of it — and they are scaled by buyer intent. Being named when someone asks a high-intent "which should I buy" or "best tool for my situation" question counts most. A broad category-awareness mention counts less. An evaluation or comparison mention sits somewhere in between.
- Prominence comes next: where you appear inside the answer. Leading the recommendation beats a passing footnote.
- Citations and Sentiment are smaller refinements that sharpen the picture.
Honesty caps sit on top of all of this. Zero mentions, a very low mention rate, or zero citations will cap the score no matter what else looks good. If you want the full anatomy of how these fit together, read what an AI Visibility Score is first — this post assumes you know the parts and want to move the number.
Because Mentions dominate and are intent-weighted, your single highest-leverage move is showing up on high-intent buyer questions, not category trivia.
Factor 1: Raise Mentions by being in the sources AI reads
AI models do not invent recommendations from nothing. They synthesize answers from the content they were trained on and, increasingly, from the live sources they retrieve. To be mentioned, you have to exist in those sources for the questions buyers actually ask.
Map the real buyer questions. Start from the high-intent queries in your category — "best X for a small team," "X alternative for Y," "most affordable X that does Z." These are the questions where a mention is worth the most. If you don't know which ones you're winning or losing, AI Ranking runs those buyer queries across all four models and shows you exactly where you're cited, named only, described without a name, or absent entirely.
Get named in the sources those answers draw from. That means the roundups, comparison articles, category guides, community threads, and reputable directories that AI models lean on. You don't need to be everywhere. You need to be present, accurately, in the handful of pages that answer the question the buyer is asking. This is the heart of generative engine optimization — optimizing for the answer, not just the ranking.
Publish content that directly answers the buyer's question. Not a brochure — an answer. A clear, well-structured page that states who a product is for, what it does best, and how it compares gives a model something clean to quote you from.
A single strong mention on a high-intent query moves the number more than a dozen mentions on low-intent category chatter.
Factor 2: Improve Prominence with structure and clarity
Getting mentioned is half the battle. Where and how you appear is the other half. Prominence rewards brands that show up early and unambiguously in the answer, framed as a recommendation rather than a hedge.
You influence prominence by making your positioning legible to a language model:
- Lead with a crisp, specific claim about who you serve and what you do best. Vague "we do everything for everyone" copy gets summarized into nothing.
- Structure content so machines can parse it — clear headings, direct answers up front, comparison tables, and plain statements of differentiation. This is the core discipline of answer engine optimization.
- Reduce ambiguity about your category. If a model isn't sure what bucket you belong in, it won't confidently slot you into a recommendation.
The clearer and more quotable your best sources are, the more likely a model is to put you near the top of its answer instead of burying you in an also-ran list.
Factor 3: Earn Citations through linkable authority
An AI citation is when a model doesn't just name you — it points to your domain as a source. Citations are a smaller refinement in the score, but they matter twice over: they lift the factor directly, and zero citations trigger an honesty cap that holds the whole score down.
You earn citations the way you earn any durable authority: by being genuinely reference-worthy. Original data, clear documentation, and pages that are the best answer to a specific question get linked and quoted. This is also where the AI Authority Rating comes in.
The AI Authority Rating is a 0-100 off-site authority driver built from your referring domains and citation authority. It is a driver of visibility, not the score itself, and it's currently a related influence rather than a hardwired mathematical component — so raising it does not mechanically raise your Score. What it does do is describe the off-site authority foundation that makes citations and confident mentions more likely over time. Treat it as a leading indicator to grow, not a dial that instantly turns the headline number.
Factor 4: Manage Sentiment as reputation hygiene
Sentiment is the smallest factor, but it's the one you can most easily neglect. It captures how positively or negatively you're characterized when you do appear. A brand that's mentioned but framed as "outdated" or "overpriced" is leaving points on the table.
Sentiment tracks your public reputation: reviews, community discussion, press, and how your own material frames your strengths. You improve it the slow, honest way — resolve recurring complaints at the source, encourage satisfied customers to leave real reviews, and make sure the accurate, current version of your story is the one that's easiest for a model to find. There is no shortcut here, and there shouldn't be.
The readiness layers: Brand Health and off-site authority
Two things sit underneath the four factors and determine how fast your improvements actually land.
Brand Health is a separate operational-readiness gauge — site quality, deployment velocity, and predictive signals. It measures how you improve, distinct from the Score, which measures where you stand. A brand with strong Brand Health ships fixes and new content faster, so its visibility work compounds sooner. If your site is slow, thin, or hard to crawl, even great content struggles to become a source AI trusts.
Off-site authority, tracked by the AI Authority Rating, is the compounding foundation. Referring domains and citations accumulate slowly and then pay off for a long time. Start early; it's the least reversible advantage you can build.
Put it in the right order
If you want a sequence, use this:
- Find your high-intent gaps with an AI Ranking run so you know which buyer questions you're losing.
- Fix Brand Health basics so your pages are fast, crawlable, and clearly structured.
- Raise Mentions by getting into the sources that answer those high-intent questions.
- Sharpen Prominence with clear, quotable, well-structured positioning.
- Build Citations and the Authority Rating through genuinely reference-worthy assets.
- Tend Sentiment as ongoing reputation hygiene.
Then watch the direction, not the daily wobble. The Tracker captures snapshots over time so you can tell a real trend from run-to-run noise, and the Advisor turns your own scorecard results into a prioritized, brand-specific action list so you're working on the lever that will move your number the most.
A word on honesty
One caveat that keeps you sane: on small samples, the score shows a band — like "Strong Visibility" — plus an "insufficient data" note rather than a precise number, and it should. AI answers vary run to run, and a few queries can't tell you much. Don't chase a single-point movement across two audits. Look for the trend across enough data to trust it. And be skeptical of anyone — including yourself — who claims a single change caused a jump. Correlation is easy; causation is hard, and honest measurement means not pretending otherwise.
This is also why AI visibility differs from traditional SEO rankings: there's no single position to chase, only how consistently you earn your way into the answer. Do the work on the four factors, keep your readiness layers healthy, and the number follows. Not because we guaranteed it, but because you earned it.
Yatin Malik, Founder
Writing on AI visibility, GEO/AEO, and the mechanics of getting cited by ChatGPT, Gemini, Claude, and Perplexity. New tactical playbooks weekly.
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