The 10 best LLM SEO tools in 2026.

Before a model can prefer your page it has to be able to read it. Scrunch works that layer: what an assistant retrieves when it fetches your URLs, whether the answer is in the HTML or arrives only after client-side rendering, and where the models are describing your product wrongly because the page never said it plainly. The free audit on the homepage is a worthwhile ten-minute diagnostic before you spend anything anywhere on this list.

The paid product is priced for companies defending a brand rather than growing a blog. At $300 a month it costs three times a daily publishing cadence, so the sane order is: run the free audit, fix what it surfaces on the templates, build coverage, then buy the platform if there is still a narrative worth monitoring. Access problems are usually a handful of template fixes, not a subscription.

Assistants get asked questions, not keywords, and AlsoAsked is still the cleanest way to see the real shape of one. Enter a seed and it draws the question tree several levels deep: what people ask, what follows once they ask it, and what follows that. As a proxy for the prompt space in your category it is imperfect and it is also the cheapest one available.

It is deliberately narrow: no scoring, no editor, no tracking, and credits burn quickly on broad seeds. The export is an input, not a deliverable. The tree tells you which twenty questions deserve a page, and something still has to write those twenty pages, which is the handoff an automated content pipeline exists to absorb.

Profound is the name most enterprise shortlists open with and the depth is real: wide prompt panels, competitor share of voice over time, and attribution down to the page that earned the citation. It has also moved earliest into the surfaces that arrive next, including shopping answers and traffic that comes from agents rather than people.

The posture is the trade-off. Pricing sits behind a demo call and reviewers place it at the top of the category range. Pointed at a thin site it will report a flat line accurately and expensively, which is the sequencing argument we make in full on the AI search optimization page.

Peec is the default mid-market pick because it answers the three questions a marketing lead asks in a weekly review: are we appearing, where in the answer, and in what tone. The source analysis is the underrated half. Seeing which domains a model leans on in your category tells you what shape of page wins before you commission one.

Like every tracker it reports and does not act, so it is at its best pointed at a site that publishes on a cadence and has something to move. We rank the measurement field on its own terms in our AI visibility tools roundup if that is the only layer you are shopping for.

The cheapest credible way into citation tracking. Register the prompts you care about and it reports how often your brand and your links show up in the answers, across a wider engine list than several tools at five times the price. For a founder who wants a number once a month rather than a war room, the $29 tier genuinely covers it.

The prompt model is also the ceiling: fifteen prompts means you track the questions you thought of, not the question space. That makes it a good second purchase. Map demand first, publish against it, then point Otterly at the prompts that carry revenue. The answer engine optimization guide walks the mapping step end to end.

Rankscale sells coverage: ten named models on the cheapest plan, including the ones most trackers quietly skip, starting below the price of a streaming subscription. The audit is the part that matters here, because it scores whether a page carries the structural signals a retrieval step rewards: heading shape, schema, a direct answer near the top.

It is a young product and the seams show. Audit scores can move between runs on an unchanged page, and agencies report gaps in the export tooling. Read the audit as a checklist rather than a metric, and fix what it flags at template level the same way you would treat sitewide structure work like internal linking.

Brand Radar bolts answer tracking onto an index Ahrefs already maintains, with the largest indexed-prompt claim in the category and a 2026 expansion into video and forum citation tracking. If your team lives in Ahrefs, the integration story is genuine: one workspace trends both classic rankings and how often a model repeats your name.

Two cautions. Full coverage means paying per engine index, which independent reviews price at roughly double the category average once assembled, and one published accuracy test found it undercounting mentions against manual checks. Spot-check it before letting it steer strategy, and remember that a suite add-on measures the same thing a $29 tool measures.

Semrush folded its AI toolkit into a full visibility product. Prompt research is the part worth the login: it shows what people ask assistants in your category, which is the demand layer most trackers skip entirely. The visibility overview and perception reports then cover the citation layer at suite depth.

Per-engine depth trails the specialists above and the recommendations lean generic. Treat it as a convenient thermometer rather than a strategy, the same way we treat every suite add-on in the AI SEO tools roundup. It earns its place here for prompt research, not for tracking.

The honest free tier of the category. Enter your brand, product, and industry and it reports how the major models currently describe you, scored across five dimensions. In a market built on demo calls, a tool that returns something useful without a signup form is worth naming.

Know its shape: it reads what the models were trained on rather than what they retrieve live, and it is a single grade with no trend line. Use it to work out whether your problem is measurement or supply. In our experience it is nearly always supply, which is a publishing problem wearing a measurement costume.