Semrush AI Toolkit vs Dedicated GEO Tools for AI Search Visibility

If you already pay for Semrush and mostly want to know whether AI engines mention your brand, its AI Visibility Toolkit is enough to start. If you need to know which specific pages ChatGPT cites instead of yours, and what to publish to replace them, you need a dedicated GEO tool. Agencies and budget buyers should pick based on how pricing scales per client and per prompt, not on the dashboard.

I'm Tom Benattar, founder of Cited.today. Disclosure up front: Cited.today is one of the tools compared below. I've tried to keep the comparison to what each vendor publishes, and to say clearly where I could not verify something.

Semrush AI toolkit vs dedicated GEO tools for AI search visibility

The short version, by profile:

• SEO team already on Semrush: start with the AI Visibility Toolkit or a Semrush One plan. You get AI mentions across ChatGPT, Google AI, Gemini and Perplexity next to your keyword data, for one login. Add a dedicated tool only when you hit the question the toolkit does not answer: which page do I need to write?
• Agency with many clients: look hardest at how cost grows with each client. Semrush prices per domain and per prompt block, Peec says its plans include unlimited seats and countries, Cited.today is priced per site. Reporting exports matter more than the demo dashboard.
• Budget buyer looking at Profound: the entry prices I could verify for alternatives sit around $85 to $103 a month (Peec, by its own account), $99 (Semrush toolkit, billed annually) and $99 (Cited.today). I could not verify Profound's own prices, so compare against its current pricing page directly.

The rest of this article explains how I got there.

How I compared the tools

One practical test drove everything: does the tool show which specific pages AI engines cite instead of you, and does it tell you what to publish to replace them?

Visibility scores are useful for reporting. But a score of 12% does not tell a content team what to do on Monday. A list of the URLs that win the answer does.

The criteria:

1. Engines tracked (ChatGPT, Perplexity, Gemini, Google AI).
2. Prompt limits on the entry plan and the cost of more.
3. Source and citation detail: domains, specific URLs, or neither.
4. Multi-client support: projects, domains, seats, exports.
5. Entry price, from the vendor's own page where possible.

Prices and limits were checked in October 2026. They change often, so treat every number below as a snapshot and confirm on the vendor's page.

What Semrush's AI toolkit covers, and its limits

Semrush sells AI visibility in two ways.

The AI Visibility Toolkit. According to Semrush's AI pricing page (opens in a new tab), the Base plan costs $99 a month per domain, billed annually. It includes:

• AI visibility reports for any domain
• 25 custom prompts tracked daily
• 1 domain for Brand Performance analysis
• Mentions from ChatGPT, Google AI, Gemini and Perplexity
• AI competitor analysis, prompt research and a site audit for AI readiness
• Daily, weekly and monthly data updates

An extra 50 prompts cost $60 a month and each extra Brand Performance domain costs $99 a month, according to a review citing Semrush's knowledge base (opens in a new tab). Semrush's Prompt Tracking documentation (opens in a new tab) describes daily positions for target prompts in ChatGPT Search, Google AI Mode and Gemini. Enterprise has no published price.

Semrush One, the SEO plus AI bundle. Figures reported by CriticNest (opens in a new tab) from Semrush's page in September 2026:

The SEO-only plan ($139 a month) tracks no AI prompts, and extra users cost $45, $80 or $100 a month depending on plan, per ContextBolt (opens in a new tab).

Where it is strong: one tool for SEO and AI, the broadest engine list of the published entry plans, and prompt research built on Semrush's data.

What I could not confirm:

• Whether the $99 toolkit can be bought alone or needs another paid Semrush plan. Reviews disagree and the pricing page does not say.
• Whether Semrush lists the specific competing URLs cited in each AI answer, rather than mentions and competitor share.
• Any white-label or client-workspace features beyond domain and website counts.

If the URL question matters to you, check it in a trial before buying.

What dedicated GEO tools do differently

Dedicated GEO tools start from prompts, not keywords. Peec's homepage is a good example of the category, and it's the page ChatGPT currently cites for this very question.

Peec (opens in a new tab) builds its product around three metrics:

Peec also lists custom prompts, tags, country tracking, AI-suggested prompts with search volumes, competitor brands, model selection, a "Find Key Sources" view showing the citations behind your visibility, and "Act on Insights" recommendations. Reporting includes CSV export, a Looker Studio connector that pulls data across all your projects for client-ready dashboards, an API and an MCP connection.

The gap shows in the recommendations. Peec's own examples are source types: get a G2 profile with reviews, join LinkedIn, join r/CRM discussions, do digital PR because editorial domains like the NYT are often cited. That's sound advice, but it's the same advice for every company. It does not say which article on which site beats you on which question.

That's the layer Cited.today works at. For every buying question a competitor wins in ChatGPT's answers, it shows who wins it, the page ChatGPT cites, and the article to write to take it back, with its brief. It does not write the articles. 28 days after you mark an article as published, it asks the same questions again and tells you whether ChatGPT now cites your page.

Side-by-side comparison

Checked in October 2026. "Not published" means I could not find it on the vendor pages I checked, not that the feature is missing.

A note on Peec's prices: they come from Peec's AI instructions page (opens in a new tab), around July 2026, not its pricing page, which I could not open. Treat them as Peec's claim.

Other dedicated tools worth adding to a shortlist include Otterly.ai, Scrunch, AthenaHQ, Rankscale and SE Ranking's AI features. I did not verify their prices or limits for this article, so I've left them out of the table rather than guess.

Same prompt, different tools: what each tells you to do next

Here is a real worked example, using the question this article answers.

The prompt: "Semrush AI toolkit vs dedicated GEO tools for AI search visibility."

What we measured: over seven days, ChatGPT cited Peec's homepage in 4 of 4 answers to this question. Cited.today was cited or named in 0.

What a visibility tool reports: something like "Visibility 0%, competitor Peec 100%." Accurate, and useless as a task. It doesn't say why Peec wins or what to write.

What a source-type recommendation suggests: get reviews, join communities, do PR. Reasonable, but none of it addresses why a product homepage is winning a comparison question.

What a citation-level view shows: the exact page that wins, https://peec.ai/, and what's on it. In this case: about 3,725 words, 7 headings, an FAQ, three named metrics, a feature list and agency logo tabs. Also what's missing: no prices, no comparison with Semrush or Profound, no author, no date, and no description of a multi-client workflow despite the agency tab.

The resulting brief:

1. Answer the comparison directly in the first lines, with a verdict per profile.
2. Explain each metric Peec uses and what it leaves out.
3. Build a feature and pricing table covering Semrush, Peec, Profound and Cited.today, dated and sourced.
4. Add a section on agencies with many clients, and one on cheaper Profound alternatives.
5. Replace generic source-type advice with a worked example of one prompt, its cited URL and the brief that follows.
6. Name an author, disclose the conflict of interest, end with an FAQ.

You're reading the article that brief produced. That's the difference between a metric and a writing task: one tells you that you're losing, the other tells you which page to beat and how.

We used the same method on our own product, gethumaninbox.com. In July it had no content and no traffic. For each question it was losing, we took apart the competitor article the engines cited and wrote the one to beat it. In a few weeks its AI visibility score went from 0% to 12%, and it went from 0 to 420 Google clicks in six weeks, with 27,000 impressions.

GEO platforms for agencies managing multiple client sites

Agencies have different needs from a single brand. Here's what to check, and what each vendor publishes.

1. Client separation. You want each client's prompts, competitors and reports kept apart. Peec talks about projects and a Looker Studio connector that pulls data across all your projects. Semrush counts domains and websites. I found no published white-label details for any of the tools.

2. Per-client prompt sets. A B2B SaaS client and a local service client need completely different prompts. Check how many prompts each client really gets once you divide the plan's total.

3. Reporting. Clients want a monthly view they understand. Peec offers CSV, Looker Studio, an API and MCP. For Semrush, check exports and white-label options in a trial.

4. How cost scales at 10+ clients. This is where the choice is usually made. Using the published numbers:

Semrush One looks cheapest per client, but 10 prompts per client is thin for real monitoring. The per-domain options cost more but give each client its own allowance.

5. What you deliver. A dashboard proves you're measuring. A list of articles to write per client is a deliverable your content team can bill for. If your agency sells content, a tool that outputs briefs at the citation level maps directly to the work. If you sell reporting, a metrics tool with good exports maps better.

Verdict for agencies: if your clients already live in Semrush, Semrush One keeps everything in one place, but watch prompt limits per client. If you need richer prompt monitoring and client dashboards, test Peec and ask for multi-project pricing in writing. If your service is content, use a citation-level tool so each client gets a list of pages to beat.

Cheaper alternatives to Profound

Profound is often the first name buyers hear, and often the one they find too expensive. I could not verify Profound's current plans, prices, engines or limits on its own site for this article, so I won't quote them. Check its pricing page and compare against these verified entry points:

When you move to a cheaper tool, the usual trade-offs are fewer prompts, fewer engines, fewer seats, and less enterprise support. Ask each vendor, in writing, which of those apply to the plan you're buying.

Verdict for budget buyers: decide first what you'll do with the data. If you need a number for a monthly report, the cheapest tracker that covers your engines will do. If you need to win answers, pay for the tool that names the page to beat, because that's the part you can act on.

How to choose: a decision checklist

Answer these in order:

1. Do you already pay for Semrush? Yes: try its AI toolkit first. No: you have no reason to start there for AI alone.
2. Which engines matter to your buyers? Make sure the entry plan covers them. Semrush lists four; Peec Starter covers three of your choice.
3. How many prompts do you really need? Count your buying questions per product. 25 goes fast once you add competitors and variants.
4. Do you need specific competing URLs? If yes, confirm in a trial that the tool shows them per answer, not just domains.
5. Do you need a writing task or a report? Metrics tools give reports. Citation-level tools give briefs.
6. How does cost scale? Multiply by your number of domains or clients, then add extra users and prompts.
7. Can you verify the result? Pick a tool that rechecks the same questions after you publish, so you know whether the work paid off.

At MailTracker, blog traffic doubled in six months once we stopped writing about the product and answered the questions people actually asked. The same logic applies to AI search: the tool that tells you the question and the page to beat is the one that changes results.

If you want to see the pages ChatGPT cites instead of yours, Cited.today (opens in a new tab) needs only your domain. It costs $99 per site per month, with a 7-day free trial (card required, cancel anytime) and a full refund if you're not happy after the first month.

FAQ

Is Semrush enough for GEO?

For teams already on Semrush who want to track AI mentions across ChatGPT, Google AI, Gemini and Perplexity, yes, to start. The toolkit's Base plan includes 25 daily prompts for $99 a month per domain, billed annually. It's less clear whether it shows the specific competing URL behind each answer, so if you need to know what to write, test that in a trial or pair it with a citation-level tool.

Which GEO tool suits agencies?

The one whose cost and reporting scale with your client list. Semrush One covers 5, 15 or 40 websites but shares prompts across them. Peec says its plans include unlimited seats and countries and offers Looker Studio dashboards across projects, but ask for multi-project pricing. Cited.today is priced per site, which suits agencies that sell content, since each client gets the pages to beat and the briefs to write.

What is cheaper than Profound?

I couldn't verify Profound's current prices, so compare its pricing page with these verified entry points: Peec Starter at about $85 to $103 a month by Peec's own account, the Semrush AI Visibility Toolkit at $99 a month per domain billed annually, and Cited.today at $99 per site per month. Check engines and prompt limits on each, since that's where cheaper plans differ.

What's the difference between a visibility score and a content gap?

A visibility score tells you how often AI answers mention you. A content gap tells you which page won the answer instead of you and what's missing from yours. The score is for reporting; the gap is a task your writers can start on.

How long before a new article gets cited?

It varies by question and competition. Measure it rather than assume it: rerun the same questions a few weeks after publishing. Cited.today does this automatically 28 days after you mark an article as published.