AI Visibility Score
One score for AI visibility,
tied to your revenue.
Most AI visibility trackers stop at the citation count. Attrifast scans ChatGPT, Claude, Gemini, and Perplexity on your real buyer prompts, rolls the appearance rate into one score, and joins each citation to the Stripe payment it eventually produced.
5-day free trial · $29/mo · no credit card needed
A citation count is not a visibility score
Every AI visibility tracker I tried before building this one reported the same shape of number: "you appeared in N of M answers." That number ignores where the answer surfaced, which prompt drove it, whether the prompt was buying-stage or research-stage, and most importantly whether the resulting click bought anything.
- ✕Treats research prompts and buying prompts the same
- ✕Cannot tell a Claude bare-mention from a Perplexity link-out
- ✕Stops one step short of the Stripe payment
- ✕Optimizes for vanity, not budget reallocation
- ✓Weighted by prompt intent (buying vs research)
- ✓Engine-level sub-scores (ChatGPT, Claude, Gemini, Perplexity)
- ✓Each citation joined to its Stripe revenue line
- ✓Drives the next budget decision, not the next slide
How the visibility score is computed
One number, four engines, transparent weights. The full methodology is documented; you can audit every prompt and every parsed citation.
A 100-prompt scan that finds your domain in 38 answers, weighted by how commercial each prompt is and which engine surfaced it, yields a single 0-100 score. Move the prompts and the weights are recomputed transparently.
Each engine gets a weight proportional to how much traffic and revenue it sent your site in the last 30 days. AI Overviews-heavy sites weight Google higher; product-led SaaS often weights ChatGPT and Perplexity higher.
Prompts tagged as buying-stage ("best X tool", "X vs Y", "alternative to X") count more than research-stage ("what is X"). You tag the prompts during setup; the weights are exposed and editable.
Closing the loop: citation → click → revenue
The score is the headline number. The loop underneath it is what makes the score worth tracking in the first place.
The last row — payment matched back to citing engine — is the join that makes the visibility score worth optimizing. No other tool in the AI-analytics category does it for $29/mo[1].
Why AI visibility matters in 2026
ChatGPT crossed 800 million weekly active users in late 2025 and OpenAI has continued to publish growth numbers into 2026[2]. Search Engine Land's ongoing tracking puts AI Overviews on roughly 13-15% of US English SERPs and climbing[3]. Across the sites I have instrumented, AI engines now send 3-15% of total traffic for SMB SaaS — a slice that grew from effectively zero in 24 months.
The visibility score exists because that slice grew faster than the analytics layer that was supposed to measure it. GA4's default channel grouping does not maintain a ChatGPT source/medium mapping, so chatgpt.com referrals get bucketed as Direct or Referral depending on cookie state and session context[4]. The result: the channel growing fastest is the channel your dashboard cannot see, and the citation event that drove the visit is invisible to every classic SEO tool you own.
The Princeton GEO research found that adding citations, statistics, and quotations to a page lifted generative-engine visibility by up to 40%, while keyword stuffing barely moved the needle[5]. Translation: the levers that lift an AI visibility score are not the same as the ones that lift a classic SEO rank. Knowing which lever moved your score by how much — and whether it paid — is the entire job. Our deeper treatment of the AI-citation scoreboard versus the classic backlink scoreboard lives in AI citations vs backlinks.
Attrifast vs Profound vs Loamly vs SEOcrawl
All four track AI visibility. Only one ties each citation to revenue.
Profound and Loamly publish their methodology pages publicly; SEOcrawl bundles AI tracking into its broader SEO suite[6][7].
$29/mo for the only score that includes revenue
The enterprise AI-visibility tools are priced for Fortune 500 marketing budgets. Attrifast is priced for the founder who needs the number this week.
AI visibility score FAQ
How the score is computed, what engines it covers, and how the Stripe join actually works.
›What is an AI visibility score?
An AI visibility score measures how often large language models like ChatGPT, Claude, Gemini, and Perplexity reference your domain when users ask buying-stage questions in your category. Attrifast runs your seed prompts on a schedule, parses every answer for your domain plus competitor domains, and rolls the appearance rate into a single 0-100 number. A score of 38 means your domain showed up in 38 of every 100 sampled answers. Unlike a typical AI visibility tracker, the score is reported alongside the revenue those citation-driven sessions actually produced, so you can see whether the score correlates with paying customers.
›How is your AI visibility tracker different from Profound or Loamly?
Profound and Loamly stop at the citation count: they tell you that you appeared in N answers across M prompts. Attrifast takes the same scan output and joins it back to Stripe via the same session-stitching pipeline that powers our revenue attribution product. The result is a single dashboard row per AI engine showing citation share, referral sessions, paid trials, and revenue. That join is the part GA4 cannot do because chatgpt.com referrers get bucketed as Direct, and the part Profound and Loamly do not do because they have no read into your Stripe account.
›Which AI engines does the visibility score cover?
ChatGPT (including ChatGPT Search), Claude with web search, Google Gemini, Perplexity, and Google AI Overviews. We also separately track Microsoft Copilot when it is available for the prompt set. Each engine gets its own sub-score because, as the Princeton GEO research shows, the levers that win a citation are not identical across engines — what works for Perplexity does not always work for AI Overviews. Treating the four as one bucket hides the signal you actually need to act on.
›How many prompts do you scan and how often?
On the $29/mo Pro plan you get up to 100 monitored prompts scanned every 24 hours across all four major engines. You bring the seed prompt list (we suggest a starter set of 30-50 based on your category) and Attrifast handles the daily scan, parsing, deduplication, and longitudinal storage. Every prompt comes with a presence trend chart so you can see when a model retrain dropped you from an answer or when a competitor displaced you. The scan output feeds the score, the share of voice number, and the revenue join.
›Why does AI visibility need to be tied to revenue?
Because a citation that sends no buyers is vanity. I have watched DR-80 sites get cited heavily by ChatGPT on competitive prompts and produce zero trials, because the visitors that did click were research-stage. I have watched DR-20 niche pages get cited rarely but convert at 2-3x because the citation arrived inside a buying-shaped query. The only way to tell those apart is to join the citation event to the eventual Stripe payment, which is the thing Attrifast was built to do. Without that join you optimize a score that does not pay the bills.
›Will this work for a small SaaS without a big marketing team?
Yes — it is built for that case. The setup is one tracking script (4 kb) plus one Stripe OAuth click, then you paste in the prompts you want monitored. There is no consultant onboarding, no annual contract, and no per-seat upsell. Pricing is $29/mo with a 5-day free trial. Compared to Profound, which is sold via demo into Fortune 500 marketing teams, Attrifast is sized for the founder or growth lead who needs the data to make a budget decision this week, not next quarter.
›How accurate is the AI visibility score?
Accuracy depends on two things: prompt coverage and parse fidelity. Prompt coverage is on you — if your seed list misses the queries your buyers actually ask, the score reflects the wrong universe. We help with that by suggesting starter prompts from your category and from your existing GSC and keyword data. Parse fidelity is on us: we extract every cited URL and bare brand mention from each engine's structured response (where available) and fall back to regex on the rendered answer. For the engines that publish a citations array (Perplexity, ChatGPT Search), parsing is effectively 100%; for Claude web answers, we hit 90%+ in our own validation.
›Can I export the AI visibility data to a spreadsheet or BI tool?
Yes. Every prompt, citation event, and revenue join is exportable to CSV from the dashboard, and the Pro plan includes a JSON API for programmatic pulls. Most users connect the export to Google Sheets or to a lightweight BI tool to build their own internal monthly reports. The schema is documented at /docs and is stable — we have not made a breaking change in twelve months.
Sources
Every numbered citation in this article links to its primary source below.
- [1]Answer Engine Insights — methodology and pricing — Profound (2026).
- [2]ChatGPT usage and product updates — OpenAI (2026).
- [3]AI Overviews trigger-rate tracking — Search Engine Land (2026).
- [4]Default channel groups and attribution windows — Google Analytics Help (2025).
- [5]GEO: Generative Engine Optimization — Princeton University / KDD (Aggarwal et al.) (2024).
- [6]AI Visibility methodology and audit samples — Loamly (2026).
- [7]AI SEO Visibility Tracker product page — SEOcrawl (2026).
Stop tracking citations in a spreadsheet
See your AI visibility score and the revenue each citation drove — same dashboard, one Stripe connect away.
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