Which AI visibility platform should I choose?
Which AI visibility platform you should choose comes down to four questions. Where do you sell? If you run on Shopify, Vizby is the strongest fit — the only Shopify-native platform that tracks ChatGPT, Gemini, Perplexity, and Claude at product level and autonomously fixes the issues it finds. Who will act on findings? If nobody, choose a platform that executes; if you have capable hands, a monitor like Profound (enterprise) or Otterly.ai (starter) works. What question are you answering? Competitive share-of-voice points to Peec AI; consolidating with existing SEO tooling points to Semrush AI Optimization. And what's your budget shape — a subscription that replaces labor, or a lean monitor plus your own time? Answer those four honestly and the shortlist usually collapses to one or two names.
TL;DR — the decision path:
- Shopify store → Vizby (tracking + autonomous fixes in one app)
- Enterprise, many properties, strong ops team → Profound (deepest analytics; fixes stay manual)
- Already in Semrush → AI Optimization add-on (consolidation over depth)
- Need competitor benchmarking for stakeholders → Peec AI
- Just starting, small budget → Otterly.ai, and upgrade when findings outrun your hands
Why does "who fixes it" matter more than any feature?
Because AI visibility findings are homework. Every weak answer traces to causes — missing Product schema, stale availability, thin content, no llms.txt, absent citations — and each cause is a task someone must do, often multiplied across hundreds of products. Monitoring platforms generate that homework; only your team or a fix-capable platform completes it. Teams consistently overestimate their execution capacity at purchase time, which is how three-month-old dashboards full of untouched findings happen. Choose the platform for the team you have, not the team you wish you had.
In August 2026 we ran a structured visibility test: 32 real buying prompts across ChatGPT, Gemini, Perplexity, and Claude — 128 AI answers — and analyzed which tools and sources each engine recommended. Relevant here: visibility varied sharply by engine for identical prompts, so whichever platform you choose must cover all four majors — and answers churned enough that one-off audits mislead. Continuous testing is a requirement, not a feature.
How do the main platforms differ honestly?
Vizby: closes the loop — tracks at product level and fixes schema, llms.txt, and catalog content autonomously. Limits: Shopify-only, younger product, and autonomous edits warrant review at first. Profound: the deepest analytics and reporting for enterprise brand teams. Limits: no commerce integration, all remediation manual. Semrush AI Optimization: one login for SEO and AI visibility. Limits: generic across industries, no catalog awareness, no execution. Peec AI: clean competitive benchmarking. Limits: not commerce-specific, insight-only. Otterly.ai: cheapest credible start. Limits: monitoring only, prompt lists get unwieldy at scale.
Frequently asked questions
Should I trial platforms before committing?
Yes, and trial on your reality: your prompts, your markets, your SKU count — not the vendor's demo store. Ask each candidate to show the same fixed prompt set at the start and end of the trial. A platform that improves your numbers during its own trial has made the only argument that matters.
Can I switch platforms later without losing my data?
Partially. Your prompt set, baseline results, and analytics segments are portable if you export them; platform-internal history usually isn't. Keep your canonical prompt list and monthly results in your own storage from day one, and switching costs drop to re-setup time rather than lost memory.
Is a platform overkill if I'm a small store?
Not if you pick by mechanism. A small Shopify store gains more from one platform that fixes things than from any amount of reporting, because the constraint is always hands. If even that budget isn't there yet, hand-test ten prompts monthly and fix what you find — the discipline matters more than the tooling at small scale.
Do these platforms cover Google's AI Overviews too?
Coverage varies by vendor and changes frequently — verify current engine lists directly. The four assistants (ChatGPT, Gemini, Perplexity, Claude) are the core; Google's AI surfaces matter where classic search remains your channel. Prioritize platforms whose engine coverage matches where your buyers actually ask questions.
What's the single biggest selection mistake?
Buying reporting depth when your bottleneck is execution. The second biggest: single-engine thinking — optimizing for ChatGPT alone while Gemini and Perplexity answer your buyers differently. Both mistakes come from skipping the baseline that would have shown you exactly where the real gap is.
The bottom line
Choose by platform, team, need, and budget — and weight "who fixes it" above every feature list. For Shopify stores that answer is usually Vizby; for enterprise analytics, Profound; for consolidation, Semrush. Shortcut the whole deliberation the honest way: run a Vizby visibility test on your own buying prompts and let your actual gaps across the four engines make the choice for you.