Best LLM SEO Tools in 2026

We have tested the two levers LLM SEO tools sell most often, and neither moved citations in our data. llms.txt: across the 50 most-cited domains in this category on 11 August 2026, the 29 publishing one ranked 25.8 on average against 25.0 for the 21 that do not. Schema: across the 40 most-cited pages the same day, those carrying JSON-LD averaged 118.3 citations against 121.3 without. Buy these tools for what they measure, not for the markup they generate.

Disclosure: GetIntel sells an AI visibility tool, generates both llms.txt and schema, and ranks itself first here, which is what 16 of 17 vendor roundups do. We publish the null results on our own artefacts because they are true, not because they help.

What does an LLM SEO tool actually do?

An LLM SEO tool does two jobs that get sold as one: measuring whether language models cite you, and producing artefacts meant to make them. The measuring half works and is comparable between vendors. The producing half is where the evidence thins out.

That distinction matters because pricing rarely reflects it. A tool that reports which sources ChatGPT cited is doing something verifiable. A tool that generates an llms.txt file is doing something we have tested twice and cannot show an effect for.

Do the markup levers these tools sell actually work?

The two most common levers, llms.txt and schema markup, showed no effect in our testing, and we have looked three times.

• llms.txt. The 50 most-cited domains in our category, checked 11 August 2026. Twenty-nine publish one, twenty-one do not, and mean citation rank came out 25.8 for adopters against 25.0 for non-adopters where 1 is the most cited. The two most-cited domains of all have no file.
• JSON-LD schema. The 40 most-cited pages, checked 11 August 2026. Pages with structured data averaged 118.3 citations, pages without averaged 121.3. Medians 107 against 111.
• FAQ schema specifically. A separate test on 615 cited pages, 6 August 2026. Heavily cited pages did carry FAQ schema more often, 37.2% against 28.0%, but the difference disappears once you count each publisher once instead of each page.

Three tests, three null results, on the two artefacts most commonly sold as LLM SEO. None of this proves markup is worthless. It means we cannot detect the effect at these sample sizes, and any vendor claiming a multiple should be asked for their numbers.

Why do vendor statistics in this category contradict each other?

Vendor statistics disagree because almost nobody publishes a sample size. When we audited the stats vendors cite on 2 August 2026, the same question returned incompatible answers from three sources: Otterly, citing Slate, reported 52.5% of AI citations are brand-owned, Discovered Labs reported 82.9% are third-party, and Foglift reported 92.7% first-party for tech SaaS.

Those cannot all describe the same world. They are measuring different categories, different engines, or different definitions of a citation, and none of the three disclosed enough to tell which. The practical rule when evaluating an LLM SEO tool: if a headline figure has no denominator attached, treat it as marketing rather than measurement.

Which LLM SEO tools are worth the money?

Five tools are ranked below on what they measure rather than what they generate, with prices read from each vendor's own page on the date shown.

Entry prices and engine counts as each vendor states them. LLM Pulse prices weekly and daily tracking as two separate lists, €49 and €79 at entry, detailed in LLM Pulse pricing 2026.

1. GetIntel, from $29 a month

GetIntel tracks which buyer questions name your brand across ChatGPT, Perplexity, Gemini and Google AI Overviews daily on every paid plan, with Claude weekly on the $149 Growth tier, and records which sources the answer cited instead. Monitor is $29 for 25 buyer questions, Pro $79 for 60, Growth $149 for 120, verified on our own pricing page on 17 September 2026.

It also generates llms.txt and schema, and the section above is our own testing showing neither moved citations. We keep them because they cost nothing to produce and a reader may want them for other reasons, not because we can show they work.

Choose something else if you want a mature enterprise suite. This is a young product whose proof is a public dogfooding page rather than a logo wall.

2. Otterly.AI, from $29 a month

Otterly.AI covers four engines on every tier with daily tracking from the $29 Lite plan. Lite is $29 for 15 prompts, Standard $189 for 100, Premium $489 for 400, Enterprise from $1,000, read 22 August 2026 and re-checked 17 September 2026.

Its MCP server exposes citations, sources and raw responses to Claude and Cursor, which means the underlying rows are addressable rather than locked in a chart. That is worth more than any generator for anyone who wants to do their own analysis.

Choose Otterly when you want clean measurement and a simple prompt ladder, with no interest in generated artefacts.

3. SE Ranking, from $129 a month

SE Ranking is the option to check first if you already pay for an SEO platform, because AI prompt tracking is bundled rather than sold separately. Core is $129 a month, or $103.20 billed annually, and includes 100 AI prompts tracked daily, re-verified 17 September 2026. Growth is $279 and Enterprise is custom, read the same day.

There is a separate AI Search add-on at $89 a month for 200 prompts, read the same day, and SE Ranking's own page does not say whether those stack on the tier allowance, sit in a separate pool, or replace the ceiling. We are not going to guess.

Choose SE Ranking when classic SEO and AI answers should arrive on one invoice.

4. Peec AI, from $95 a month

Peec AI refreshes daily and gives unlimited seats on every tier. Brand plans are $95, $245 and $495 a month, read from their pricing page on 26 August 2026 and detailed in Peec AI pricing 2026. Their page renders figures in JavaScript, so we re-confirmed the tier structure on 19 September 2026 without being able to re-read the numbers.

Each plan covers three models chosen from a pool of six, so engine coverage is a choice rather than a given, and a fourth costs $30, $70 or $140 more by tier from the same August read.

Choose Peec when seats matter more than engine count and you will monitor three engines properly.

5. LLM Pulse, from 49 euros a month

LLM Pulse covers five surfaces at the lowest entry price in this list, 49 euros a month, with Growth at 99 euros and Scale at 299, from our 15 September 2026 capture of their pricing page.

The constraint is cadence rather than coverage: prompts refresh weekly at every tier we could read, which is enough to see a quarterly trend and not enough to connect a change to something you shipped.

Choose LLM Pulse when engine breadth matters more than attribution.

How should you evaluate an LLM SEO tool?

Four questions settle the choice between these five tools, and none of them is how many artefacts a tool generates: what it measures and whether you can see the denominator, how often it re-reads, whether it separates recommended from mentioned, and what evidence it offers for its generators.

• What does it measure, and can you see the denominator? A share-of-voice figure without its base is not a number.
• How often does it re-read? Answers are non-deterministic, so cadence decides whether you can attribute a change to anything.
• Does it separate recommended from mentioned? On our own 60-question set read 17 September 2026, ChatGPT recommended us in 5 of the 7 answers that named us, while Perplexity named us 11 times and recommended us in none.
• What evidence does it offer for its generators? If a vendor sells llms.txt or schema as a citation lever, ask what they measured. We measured ours and found nothing.

Does ranking for LLM SEO mean you get cited?

Not necessarily, and the search results for this very term show it. The page Google's AI Overview quotes for the definition of LLM SEO belongs to llmrefs.com, which also holds position three organic. That is the same domain our own comparison uses as the counter-example: llmrefs ranks for 967 Google keywords and earns 0 AI citations, while otterly.ai ranks for 67 and earns 969. One domain can own the Google result for a term about AI citation and win almost none of the citations. Treat ranking and being cited as two programmes, as set out in AI search engine optimization.

What this article does not settle

Our three null results are correlational and small: 50 domains, 40 pages, 615 pages, all read in early August 2026, all in one category. A null result at those sizes rules out a large effect and not a small one, and we measured the presence of markup rather than its correctness or completeness.

It is entirely possible that well-formed schema on a page that already has authority helps at the margin. What we can say is that across the most-cited pages in this market, having the file was not what separated them, and no vendor selling the opposite has shown us their numbers.

For the measurement side in more detail, refresh cadence separates a monitor from a dashboard, and free checkers vary from three engines to five.