A new category of marketing tool exploded in 2026 — AI search visibility platforms that track whether ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews mention your brand. Otterly. Peec AI. Profound. LLMrefs. Scrunch. Signum. AIclicks. The list is getting longer every month.

Every article comparing them is structured the same way: here are 8 tools, here's a table, here's why all of them are great. None of them ask the question worth asking — which is whether you need one of these tools at all yet, and if you do, which kind.

So this isn't another listicle. It's a five-question decision tree. Answer the questions in order, follow the branch that fits you, and you'll end up at a clear next step. For most readers, that next step won't be "buy a tool." For some, it will be a specific tool. For a few, it'll be a different tool than they were about to buy.

Three minutes. Honest answer at the end.

What These Tools Actually Are (Quick Foundation)

 AI search visibility tools monitor whether your brand appears in answers generated by large language models — ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Copilot. They run prompts on a schedule, log the AI's response, and track three things: brand mentions (does the AI name you?), source citations (does the AI link to your website?), and share of voice (how often is your brand surfaced versus competitors?).

The category exists because traditional SEO tools cannot see inside AI engines. Google Search Console doesn't know you got cited by Claude. Ahrefs doesn't track Perplexity. If your buyers research using AI tools, you have an entire demand layer your existing stack can't measure. [/DEF]

With that out of the way, let's diagnose.

The Decision Tree

Five questions. Don't skip ahead — each one depends on the previous answer.

Question 1: Is your category one where buyers research before purchasing?

Categories where buyers actively research and compare before deciding:

  • B2B SaaS
  • Professional services (agencies, consultancies, legal, accounting, financial advice)
  • Considered consumer purchases (insurance, EdTech, healthcare, expensive electronics, software for personal use)
  • Education (universities, courses, training programs)

Categories where buyers usually decide fast, locally, or based on immediate need:

  • Restaurants, cafés, salons
  • Plumbing, emergency services, locksmiths
  • Impulse retail
  • Most local services where intent → action happens in under 24 hours

If your category is in the second list → Skip to the "No Tool" branch. AI search visibility is a real shift, but it's not yet where your buyers are. Your time is better spent on Google Business Profile, local SEO, and reviews.

If your category is in the first list → Continue to Question 2.

Question 2: Have you manually checked whether AI tools mention you in the last 90 days?

This is the question almost every "should I buy a tool" article skips. The honest answer: most teams that pay for an AI visibility tool have never manually checked. They bought a dashboard before knowing what they were measuring.

If no → Skip to the "Manual Check First" branch. You'll save hundreds of dollars a month and learn what your actual problem is in three hours.

If yes → Continue to Question 3.

Question 3: What did the manual check actually reveal?

Three possible outcomes. Each one points somewhere different.

Outcome A: You appear consistently in AI answers. Competitors mostly don't. You're winning. A paid tool would mostly confirm what you already know. Keep doing what you're doing, and re-check manually every 90 days. Go to "Maintain" branch.

Outcome B: Competitors appear consistently. You mostly don't. You have a measurable visibility problem and a tool will help you fix it faster than continuing to check manually. Go to "You Need a Tool" branch — Question 4 narrows the choice.

Outcome C: Mixed results — you appear sometimes, competitors appear sometimes, the data is inconsistent. Run the manual check for two more months before deciding. AI engines produce different answers for the same prompt across sessions, so one-month data isn't enough to trust. Go to "Wait and Watch" branch.

Question 4: What's your monthly content output?

(Only relevant if Question 3 sent you here.)

Under 4 pieces of content per month → You don't have enough surface area to optimise meaningfully. A paid tool will surface problems you can't yet fix at production scale. Stick with manual checks and increase content velocity first.

4 to 10 pieces per month → This is the sweet spot for paid tools. Otterly or Peec AI at the ~$89–€89/month tier fit cleanly. Go to "Mid-Tier Tools" branch.

More than 10 pieces per month → You'll outgrow the basic tier in 6 months. Start with Peec AI Pro, Scrunch, or Profound. Go to "Pro-Tier Tools" branch.

Question 5: What is your real monthly budget for this specifically?

Be honest. Not the budget you wish you had. The budget you'd actually approve.

₹0 → Go to "No Tool" branch. Manual works. Don't pay.

Up to $100/month → Otterly OR Peec AI. Pick one. Go to "Mid-Tier".

$200+/month → You can step up to Pro tiers. Go to "Pro-Tier".

Bundled (you're already on Semrush or SE Ranking) → Use their AI visibility add-on first before paying for a separate tool. SE Ranking's AI Search module starts around $71/month on top of your base plan; Semrush includes an AI Visibility Index in their existing dashboard. Go to "Bundled".

Where Your Tree Ended

Find your branch below. Each one answers exactly one question — what to do next.

<a id="branch-no-tool"></a>

Branch: "No Tool Yet"

You ended here because either (a) your category doesn't have buyers in the AI search funnel yet, or (b) you have a real budget constraint, or (c) you haven't run a manual baseline so you don't yet know what you'd be measuring.

For most local businesses and budget-constrained operators, AI search visibility tools are a premature investment in 2026. A free monthly manual check across ChatGPT, Perplexity, and Google AI Overviews captures most of the signal a $89/month tool would surface. Spend the money on content production and traditional SEO instead — that's what actually moves you into AI answers in the first place.

What to do instead:

  • Strengthen your Google Business Profile (for local) or invest in backlink building (for B2B). AI engines lean on these authority signals to decide who to cite.
  • Read our AEO post and apply the content structure changes (Direct Answer Blocks, definitions, structured data). These compound for free.
  • Set a calendar reminder for 90 days from now. Re-run the diagnostic then. The signals will be clearer.

<a id="branch-manual"></a>

Branch: "Manual Check First"

You ended here because you haven't manually checked yet. Before you spend money, do this.

[EXP — At Emvigo, we ran manual checks for six months before paying for any AI visibility tool. The manual baseline taught us which prompts mattered, which engines our buyers actually used, and which competitors were ahead. By the time we paid for a tool, we knew exactly what to ask it. Teams that skip the manual phase end up paying for a dashboard they don't know how to read.]

The 3-hour manual protocol:

Step 1. Pick 10 buyer-intent prompts. Not generic queries — actual phrases your buyers would type. For B2B SaaS: "Best [category] for [persona]", "[Competitor] alternatives", "[Product type] for under [budget]", "Pros and cons of [competitor]".

Step 2. Run each prompt in four places: ChatGPT, Perplexity, Claude, and Google (which surfaces AI Overviews). Screenshot every answer.

Step 3. Log three things per answer in a spreadsheet:

  • Brand mention (yes/no for your brand)
  • Source citation (does the AI link to your website?)
  • Competitor mentions (which competitors named?)

Step 4. Repeat next month. Watch the trend across 90 days.

After three months, come back to this article and answer Question 3 from the tree. The manual data will make the next decision obvious.

<a id="branch-maintain"></a>

Branch: "Maintain"

You ended here because you're already winning. The AI engines are citing you. Competitors aren't catching up. A paid tool would mostly produce dashboards that confirm what you already know.

What to do:

  • Keep the manual check on a 90-day cadence. Watch for competitor movement.
  • Document what's working — which content pieces are getting cited, what structure they share, which engines they rank in. This is reusable intelligence.
  • Reconsider a paid tool only when (a) a competitor starts catching up, (b) your content team grows past 10 pieces/month, or (c) you want to expand to new geographies or buyer personas where you haven't tested yet.

The thing nobody tells you about AI visibility leadership: it compounds. Once you're being cited consistently, AI engines tend to keep citing you. The advantage gets larger over time, not smaller.

<a id="branch-wait"></a>

Branch: "Wait and Watch"

You ended here because your manual check produced inconsistent results — you sometimes appear, competitors sometimes appear, you can't tell yet whether you have a real problem.

This is the most common outcome for first-time manual checks. AI engines genuinely produce different answers across sessions, models, and weeks. One month of data isn't enough to draw conclusions.

What to do:

  • Run the manual check for two more months.
  • Track which prompts show inconsistency (those need monitoring) vs which prompts consistently surface competitors over you (those are real problems).
  • Add a fourth prompt category in month 2: comparison queries that mention your direct competitor by name. These tend to produce cleaner signal.
  • After three months total, your data will tell you which branch above you actually belong to.

The two-month wait isn't laziness — it's how this measurement works. Tools that promise definitive answers on Day 1 are oversimplifying.

<a id="branch-mid-tier"></a>

Branch: "Mid-Tier Tools (~$89–€100/month)"

You ended here because you've done the manual baseline, you have a measurable visibility gap, your content output is 4–10 pieces/month, and you have ~$100/month budget. Two real options.

Otterly. One of the earliest dedicated tools in the category, used by 20,000+ marketers. Tracks ChatGPT, Perplexity, Gemini, Copilot, AI Overviews, AI Mode. Strong on citation tracking and content recommendations (it tells you what to fix, not just where you're invisible). Starts around $89/month.

Pick Otterly if: you want guidance, not just data. The product nudges you toward content actions.

Peec AI. Cleaner, more SaaS-focused, popular with B2B marketing teams. Daily prompt runs, segmentation by model/region/persona, Looker Studio integration. Starts at €89/month (25 prompts) and scales to €499/month (300+ prompts).

Pick Peec AI if: you want clean data and clear filtering, and you have the in-house skill to act on it without the tool telling you what to do.

Otterly and Peec AI are the two strongest mid-tier AI search visibility tools as of mid-2026. Otterly is better if you want guided recommendations alongside the data. Peec AI is better if you have an experienced team that wants clean data and the ability to slice it by model, region, and persona. Both are around $89/month at entry tier. Don't pay for both — one tool, used weekly, beats two tools used monthly

<a id="branch-pro-tier"></a>

Branch: "Pro-Tier Tools ($200+/month)"

You ended here because you have serious content velocity (10+ pieces/month) or a category where AI search is already a significant revenue channel.

Profound. Tracks how AI engines interpret and crawl your site, not just whether they mention you. Sophisticated, geared toward in-house teams at larger brands. Pricing on request — expect $300+/month.

Pick Profound if: you have engineering resources and need site-level interpretation data, not just mention tracking.

Scrunch. Deeper analysis layer. You can label prompts by buyer persona and theme, then track sentiment and share of voice per prompt across engines. Better for teams that slice data multiple ways.

Pick Scrunch if: your AI visibility strategy is already mature and you need analyst-grade segmentation.

Peec AI Pro/Enterprise. Same product as the mid-tier, scaled up — 100–300+ prompts, multiple countries. The natural upgrade path if you started on Peec AI Starter.

Pick this if: you've already validated Peec AI at the lower tier and need more prompts.

The honest take: at the pro tier, the tools differ less than the marketing implies. The right question is which one your team will actually use weekly. A $300/month tool that gets opened twice a quarter loses to a $89/month tool that gets opened every Monday.

<a id="branch-bundled"></a>

Branch: "Bundled (already on Semrush or SE Ranking)"

You ended here because you're already paying for a traditional SEO platform that's added AI visibility features. Try the built-in module before paying for a separate tool.

SE Ranking AI Search Toolkit. Add-on to existing SE Ranking plans, starts around $71/month. Covers ChatGPT, Perplexity, Google AI Overviews, AI Mode. Solid for the price if you're already on the platform.

Semrush AI Visibility Index. Bundled into Semrush's existing dashboard. Tracks ChatGPT, Gemini, Perplexity. No extra cost on most plans — check your current tier.

Run the bundled tool for 60 days. If it gives you enough signal to act on, you don't need a separate platform. If you find yourself constantly working around its limits — too few prompts, no sentiment, no segmentation — that's the signal you've outgrown it. Then look at Otterly, Peec AI, or Scrunch.

Three Mistakes Regardless of Branch

Wherever your tree ended, four mistakes are universal. Avoid these:

1. Paying before doing the manual check. You'll buy a dashboard you can't read.

2. Tracking too many prompts. Most teams set up 100+ prompts and look at none of them. Twenty well-chosen prompts you actually review weekly beats 200 you never check.

3. Treating AI visibility as separate from SEO. They're the same workflow. Both run on content quality, content structure, and link authority. A tool that monitors only AI without integrating with your SEO data forces you to do twice the analysis.

4. Buying tools promising "guaranteed AI rankings." The technology doesn't work that way. The claim is a red flag. Walk away.

What the Tools Don't Tell You

[EXP — In my work at Emvigo, AI search visibility has gone from "interesting side project" to "core measurement" in about 18 months. The pattern I've watched repeatedly: a team buys a fancy tool, gets impressive dashboards, screenshots them in board meetings, and produces zero content changes. Six months later they realise the tool was never the bottleneck — content was. The teams that win are the ones who treat the tool as a measurement layer and treat content production as the actual lever. Tools tell you where you're invisible. Only content makes you visible.]

The visibility data is the diagnosis. Content built for answer engine optimisation is the treatment. Skipping the treatment in favour of a more expensive diagnostic kit doesn't make you healthier.

Summary: What This Article Just Did

Most AI search visibility tool articles ask "which tool is best?" That's the wrong question for most readers. The right diagnostic is: are you in a category where buyers research before purchasing → have you manually checked your current visibility → what did the check reveal → what's your content velocity → what's your real budget. Answer those five questions honestly and the right answer becomes obvious: for ~70% of readers, the answer is "no tool yet, do the manual check first or focus on content." For the remaining 30%, the answer is a specific tool at a specific budget — Otterly or Peec AI for most teams, Profound or Scrunch for high-velocity operators, and the bundled tools inside Semrush or SE Ranking for teams already on those platforms. 

The decision tree exists because the SERP is saturated with affiliate listicles that assume you need to buy. Most readers don't yet. Knowing which branch you're on saves you anywhere from $89 to $499 a month, and gives you the clarity to invest that money in the content that actually gets you cited.

Want to run the manual check with someone who's done it 50 times — and get a clear answer on whether your brand has an AI visibility problem worth solving?

Talk to WizGrowth →

We run AEO audits that include the full manual AI search baseline, competitor comparison across ChatGPT, Perplexity, and Google AI Overviews, and a content gap report telling you exactly what to fix. No dashboards. Just answers.

FAQ

Do I need an AI search visibility tool in 2026? Not necessarily. For local businesses and impulse-purchase categories, no. For B2B SaaS, professional services, and considered-purchase categories, possibly — but only after running a free manual baseline to confirm you have a measurable problem. Most teams who pay for these tools haven't done the manual check first, which is why their dashboards produce no action.

How do I check my AI search visibility for free? Pick 10 buyer-intent prompts your customers would actually use. Run each in ChatGPT, Perplexity, Claude, and Google (for AI Overviews). Log whether your brand appears, whether your site is cited, and which competitors are mentioned. Repeat monthly for 90 days. This three-hour-a-month protocol delivers most of what a paid tool would tell you.

What's the cheapest AI visibility tool that actually works? At the paid tier, Otterly (~$89/month) and Peec AI (€89/month) are the two strongest entry points. SE Ranking's AI Search add-on (~$71/month) is the cheapest if you're already on their SEO platform. Below that, manual checking is the honest answer.

Are these tools the same as GEO (generative engine optimization) tools? Mostly, yes. "AI search visibility," "LLM visibility," "GEO," and "answer engine optimization" measurement are different labels for the same job — tracking how AI engines treat your brand. Terminology hasn't stabilised; expect it to consolidate in the next 12 months.

How accurate are these tools? Tools that query multiple AI engines daily from multiple locations are more reliable than tools sampling weekly. Always verify how each tool sources its data before paying — how often they query, which engines, and how they handle prompts that produce inconsistent answers across sessions. The category is too new for clear accuracy leaders.

Will my buyers actually use ChatGPT and Perplexity to research my product? In B2B and considered-consumer categories, increasingly yes. Buyers now often start research in an AI tool, narrow their shortlist there, and only use Google later for specific pages. If your category involves any pre-purchase research, you almost certainly have buyers in the AI search funnel — whether you've measured it or not.