The LLM SEO tools we tested: what we kept, dropped and skipped

Over Q1 2026 we worked through most of the LLM SEO tools on the market for our B2B SaaS clients, trying to answer one question: when a buyer asks ChatGPT, Claude, Gemini, or Perplexity “who are the best vendors for X,” does our client show up, and if not, why not.

Most of these tools are a dashboard built on the same handful of public APIs and a big pile of simulated prompts. A few are genuinely useful. Here is what we kept, what we skipped, and the part most roundups leave out: why we stopped trusting any single dashboard and built our own layer instead.

What an LLM SEO tool is supposed to do

The job has three parts, and almost no single tool does all three well.

First, measure whether you get cited in a model’s answer, not whether you rank in blue links. Different question, different winners. Second, run the same prompts on a schedule, because model answers move day to day and a single check tells you nothing. Third, explain why a competitor got picked, which usually comes down to content structure and who else references them.

If a tool only does the first part, it’s a monitoring dashboard, not an optimization tool. That line sorted our shortlist faster than anything else. We cover the underlying strategy in our AI search SEO guide, so this piece stays on the tools.

Start with the free version of the job

Before you spend anything, build the baseline yourself. Take 20 prompts your customers actually ask, run them weekly across ChatGPT, Claude, Gemini, and Perplexity, and log whether you were cited and which competitor showed up instead. A spreadsheet does this for free.

We still run this for every new client in week one. It sets a baseline the paid tools then have to beat, and it stops you buying a subscription to answer a question a Google Sheet already answers.

The suites you probably already pay for

If you run SEO, you likely already own two of the better LLM SEO tools and don’t need a new invoice.

• Semrush AI Visibility Toolkit. Around $99 a month per domain at the time of writing, and it sits inside the Semrush account you already have. It tracks brand mentions and share of voice across ChatGPT, Google AI Overviews, AI Mode, Gemini, and Perplexity, and its “missing sources” view, the sites that cite your competitors but not you, is the single most useful report for planning outreach. Enterprise AIO is the bigger, custom-priced version for teams managing many brands or regions.
• Ahrefs Brand Radar. Already in our stack, so it costs nothing extra. For a fast share-of-voice read across AI answers on a large dataset, it’s the quickest way to see whether a brand is trending up or down before we decide a deeper look is worth it.

The honest caveat on both: their scale comes from simulated prompts run at volume, not from watching what a specific buyer actually sees. That’s great for breadth and benchmarking, and it’s why we still don’t stop there. More on that below.

The AI-first tools worth knowing

If you don’t already run a suite, these are the ones we’d shortlist, by budget.

• Profound is the enterprise pick: live answer monitoring plus synthetic queries across ChatGPT, Claude, Google AI, and Perplexity, tied back to revenue through GA4. Deep, and priced like a funded category leader.
• Otterly.AI is our default mid-market all-rounder, with the widest surface set in one place, Google AI Overviews, AI Mode, ChatGPT, Gemini, Copilot, Claude, and Perplexity, plus a free trial with no card so you can pilot before committing a client budget.
• LLMrefs is the one for teams that think in keywords rather than prompts. It tracks keyword visibility across roughly ten engines including Gemini, Grok, Copilot, and Meta AI, auto-generates fan-out prompts from real query data, and shows the exact citation URLs models pull from.

The ones we skipped

Not bad tools, just not the right fit for how we work, and worth knowing before you pay.

• SE Ranking’s AI tracker sits around $189 a month but, as of mid-2026, tracked mainly ChatGPT and Google AI Mode with other engines still rolling out. Steep for the coverage unless you already live in SE Ranking, so confirm what’s shipped before you judge it.
• Frase bundles tracking into a full content-to-citation workflow. Excellent if you produce content at volume, more than you need if all you want is a visibility number.
• Trakkr and Allmond are the honest budget options, roughly $29 to $99 a month at entry tiers. The tradeoff is lighter competitive depth and, on some plans, weekly rather than daily scans. Fine for a founder tracking one brand, thin for an agency reporting across clients.
• Daydream and BrightEdge AI Catalyst are enterprise, custom-priced, and bundled into bigger platforms. We skipped them for the same reason: we didn’t want tracking welded to a suite we weren’t otherwise buying.

Coverage is the thing most people get wrong

The question we get most is some version of “what’s the best chatgpt seo software,” or “what’s the best seo tool for perplexity,” or whether you need a separate claude seo tool at all. You’re asking the wrong question.

Under the hood, a tool sold as the best chatgpt seo software and one branded as the best perplexity seo software usually run similar prompt-and-scrape mechanics. What differs is how each engine exposes its sources. Perplexity shows citations openly, so any competent tool reads it cleanly. ChatGPT and Claude are more opaque, so tools infer more and get it wrong more often. And the engines cite different places: 2026 citation analyses show ChatGPT leaning on Wikipedia, Google AI Overviews pulling from Reddit and YouTube, and Perplexity leaning on Reddit, with LinkedIn climbing fast for professional queries. Buy for coverage and method, not the model name on the homepage.

Why we don’t rely on any tool alone

Here’s the part the vendor pages won’t tell you. Every tool above, the suites included, builds its numbers from modeled or simulated prompts run at scale. That is the only way to cover millions of queries cheaply. It’s genuinely useful for benchmarking. It is not the same as knowing what your specific buyer saw when they asked their specific question this morning.

So we don’t rely on the dashboards for the number that decides a client’s content roadmap. We run our own LLM layer, OneSEO, that queries ChatGPT, Claude, Gemini, and Perplexity directly on each client’s real target prompts, on a schedule, and logs the exact answer and every citation in it. The suites give us breadth and competitor context. Our own layer gives us the ground truth we’re willing to put in front of a client and act on. When the modeled data and the direct read disagree, and they do, we trust the direct read.

If you want the strategy behind the tooling, that lives in our generative engine optimisation breakdown, and the notes on how to rank on ChatGPT and writing content for AI do more for actual visibility than any dashboard.

The takeaway

Buy for method and coverage, not model. Start with the suite you already pay for, Semrush or Ahrefs, before adding a new invoice. Treat measurement and optimization as two line items, because most LLM SEO tools do one and imply the other. And remember every dashboard is showing you modeled data, so before you bet a roadmap on a number, read at least a few of the actual answers yourself. Pick one prompt your best client would want to win, run it across all four engines this week, and write down what you see.

If AI search visibility is becoming a real line item for your SaaS and you’d rather not build the tracking layer yourself, OneMetrik does this for clients every month, dashboards plus direct reads.

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