LLMrefs Review & Best Alternatives for 2026

A fair review of LLMrefs for SEO teams, agencies and small brands: how its keyword-to-prompt model works, what the single $79 plan buys and where the method stops. Then the alternatives worth shortlisting, sorted by the one choice that separates them most: who writes the prompts.

Quick answer

Canlah AI ranks first among the LLMrefs alternatives in this review for teams that need a locked set of real buyer questions, raw answers they can re-run and someone accountable for closing the gaps. LLMrefs itself is a London-based AI search analytics tool that asks you for SEO keywords, generates the prompts itself and reports share of voice, position and citations across ten named AI engines for $79 a month, which makes it the cheapest way in this review to watch that many engines at once. Peec AI and Otterly.AI fit teams that want to write their own prompts and track them daily, the Semrush AI Visibility Toolkit suits teams already paying for Semrush at $99 per domain, Ahrefs Brand Radar benchmarks a whole category from a $199 prebuilt prompt index and Profound fits enterprise programmes bought on a custom contract.

This is an editorial review based on public product and pricing pages reviewed on September 23, 2026. It is not a controlled test of tool accuracy.

Disclosure: Canlah AI is one of the alternatives below, and we place ourselves first. We compete with LLMrefs, so this is not a neutral review. What we say about LLMrefs and the others comes from their public materials, and none of the tools were tested through paid accounts.

What is LLMrefs?

LLMrefs is an AI search visibility tracker, often filed under generative engine optimization (GEO) or answer engine optimization (AEO), built around keywords rather than prompts. Its homepage states the idea in one line: “With LLMrefs you track keywords, not prompts.” Its About page lists a London address at 85 Great Portland Street and names James Berry as founder and CEO.

The product takes the keyword lists an SEO team already owns, turns each keyword into a set of conversational prompts and runs them across AI answer engines. The homepage FAQ names ten: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Microsoft Copilot, Meta AI and DeepSeek. Results roll up into a keyword-level view of which brands appear, how high they sit and which URLs the engines cite. LLMrefs claims more than 10,000 marketers use it and publishes a Rise at Seven case study for Revolution Beauty, which it reports reached a 73% share of voice for beauty dupe keywords.

How LLMrefs turns keywords into prompts

LLMrefs asks you for keywords and writes the prompts for you, which is the single design choice that shapes everything else in this review. Its homepage says it “automatically generates fan-out prompts based on real conversations users are having with AI chatbots”, then aggregates and weights results “across every prompt to ensure statistical significance for each keyword”.

The ratio of prompts to keywords is not stated on one page. The FAQ refers to an allowance of 50 keywords, the pricing card lists 500 prompts and a GenerateMore review from November 2025 describes one keyword producing ten prompts in its trial. The homepage demo shows 25 prompts under a sample keyword. Buyers should confirm in the seven-day trial how many prompts sit behind each keyword and whether they can edit them.

The trade-off is plain. Keyword input makes setup fast and gives SEO teams a familiar unit to report on. It also means the questions being measured are chosen by the tool, not by you, so a keyword score can move when the generated prompt set changes rather than when AI answers change.

What LLMrefs does well

LLMrefs is strongest when a team wants broad engine coverage at a low, published price without designing a prompt panel first. Four strengths stand out on its public pages.

• Ten engines on one plan. The single plan includes “all AI search engines with no additional fees”, including Grok, Meta AI and DeepSeek, which many tools in this category sell as add-ons or leave out.
• Unlimited seats and projects. One subscription covers unlimited team members and unlimited domains, so an agency can add client brands without a per-seat or per-domain bill.
• Share of voice and position, not one score. Brands are ranked against each other on share of voice and average position per keyword, and the homepage promises “no magic numbers” and transparent data.
• Citations and free utilities. A sources view lists the URLs engines cite, and free tools include an AI crawl checker, a Reddit threads finder, a query fan-out tool and an llms.txt generator. CSV export and API access are included.

Geo-targeting is a further draw for international teams, although the page gives two figures for it, covered in the limits below.

Where LLMrefs fits less well

LLMrefs is a low-cost monitoring layer, which suits many teams but sets boundaries for some buyers. Three limits matter most, and each is a scope question rather than a quality judgement.

• Weekly, not daily, reporting. The FAQ says results are checked “in real-time” and that “every keyword is updated in the dashboard at least once per week”. The weekly figure is the commitment. Peec AI, Otterly.AI and Semrush all publish daily tracking.
• You measure the tool’s questions, not yours. Generated prompts are convenient, but a regulated or B2B brand often needs to track specific buyer questions word for word. GenerateMore’s review rated data accuracy 2 out of 5, arguing that keyword-level roll-ups make prompt-level mentions hard to diagnose.
• Monitoring, not delivery. LLMrefs surfaces gaps and content opportunities. Your team or your agency still writes the content, fixes the pages and earns the third-party mentions.

Two smaller points are worth checking. The marketing copy promises geo-targeting across “20+ countries and 10+ languages”, while the pricing card says “50+ countries & 20+ languages”, a gap EchoWi’s review also flagged. Doubao and Qwen were not found on the reviewed page.

LLMrefs pricing and plans

LLMrefs pricing is one plan: All in One at $79 a month, labelled “Limited time only”, with a seven-day free trial and a free account tier. The /pricing URL redirects to a section of the homepage, so every figure below comes from that one page.

LLMrefs plan, pricing section reviewed September 23, 2026.

Item	What the LLMrefs page states	What it means for a buyer
Price	$79 per month, “Limited time only”	Confirm the renewal price before annual planning
Trial	7-day free trial, cancel anytime	Enough time for one weekly refresh cycle
Prompt allowance	500 prompts for brand mentions, sources and fan-out queries	About $0.16 per prompt per month, prompts generated from keywords
Keyword allowance	FAQ refers to 50 keywords, more on upgrade	Roughly ten generated prompts per keyword if the full 500 are used
Engines	10 named: ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek	No add-on fees for engines
Refresh	“At least once per week”	Weekly trend line, not a daily one
Geo-targeting	20+ countries and 10+ languages in one section, 50+ and 20+ in another	Confirm your markets in the trial
Seats and projects	Unlimited team members and unlimited projects	Fits agencies with many small clients
Extras	CSV export, API access, AI prompt volume estimates	Data can move into Looker Studio or a warehouse

Source: llmrefs.com homepage, pricing section and FAQ, reviewed September 23, 2026. “Not found on reviewed page” in this review means the vendor’s public materials did not state that capability when checked on that date. It is not proof that the capability is absent. The per-prompt figure is our arithmetic, not a vendor claim.

What LLMrefs users say on Reddit

LLMrefs Reddit feedback is mostly positive on price and mixed on depth. A May 8, 2026 post in r/HonestBuyerReviews, written after six months across 15 client brands, says the reviewer would pick LLMrefs again because “the agency math actually works” at $79 with unlimited domains and seats. The same post cites GenerateMore’s 2 out of 5 scores for data accuracy and freshness as the most serious outside criticism.

Threads in r/digital_marketing and r/SaaS during 2025 describe the tool as cheap and easy because it tracks keywords “just like traditional SEO” and generates the prompts. One February 20, 2026 post in r/GEO_optimization reports a user who could not find a billing or cancellation option in the dashboard. Treat each thread as one user’s account, not a representative sample.

The best LLMrefs alternatives in 2026

The right LLMrefs alternative depends on the prompt model you want: prompts generated from keywords, prompts you write yourself, a prebuilt prompt index or a locked set of buyer questions with raw answers kept. The table ranks six alternatives on that axis.

Comparison of LLMrefs and six alternatives by prompt model, public product pages reviewed September 23, 2026.

#	Tool	Best for	Prompt model	Engines named on reviewed page	Entry price	Main point to verify
1	Canlah AI	Locked buyer questions with raw evidence, delivered as managed agency work	4, 8 or 16 buyer intents by tier, locked for 90 days, 3+ phrasing rotations each	ChatGPT, Gemini, Google AI Overviews and AI Mode on every tier	Free 48-hour snapshot; US$99 diagnostic	Entry tier is 4 buyer intents re-measured monthly, on fewer engines than the LLMrefs plan
2	Peec AI	Custom prompts at mid-market scale, self-serve software	You write prompts, tracked daily	3 of 6 default on self-serve; up to 13 on Enterprise	$95 for 50 prompts	Price the models beyond the three Starter includes
3	Otterly.AI	Small custom panel on a budget, self-serve software	You write prompts, tracked daily	4 base; Claude, AI Mode, Gemini as add-ons	$29 for 15 prompts	Add engine add-ons before comparing Lite with $79
4	Semrush AI Visibility Toolkit	Keyword and prompt data inside an existing SEO suite	25 custom prompts plus a prebuilt query set	ChatGPT, Google AI Mode	$99 per domain	Billed per domain and per seat; check your questions are in the query set
5	Ahrefs Brand Radar	Category-wide benchmarking before prompt design	Prebuilt index of 454M+ search-backed prompts	6, incl. AI Overviews, AI Mode, ChatGPT, Perplexity	$199 index	Search the index for your brand first; low-volume coverage can be thin
6	Profound	Enterprise programmes, software with an agent layer	Custom prompts under an enterprise contract	Up to 9, incl. ChatGPT, Perplexity, AI Mode, DeepSeek	Free 7-day trial; Enterprise custom	History, export and API sit on Enterprise, not on the trial
—	LLMrefs (reviewed)	Many engines at the lowest published price, self-serve software	Keywords in, generated prompts out, weekly	10 named	$79 for 500 prompts	Renewal price after “Limited time only”; prompts per keyword

Source: each vendor’s public product and pricing pages, reviewed September 23, 2026. Engine lists refer to public positioning, not independently tested access. None of the seven software tools named Doubao on the pages reviewed.

1. Canlah AI: Best overall alternative for a locked buyer-query pool

Canlah AI is a Singapore-based SEO + GEO agency that measures and improves brand visibility inside ChatGPT, Gemini, Google AI Overviews and Google AI Mode, reporting AI visibility as re-verifiable ranges with timestamped evidence. That engine set is the same on every tier.

Canlah AI ranks first in this comparison because its prompt model is the opposite of LLMrefs. LLMrefs generates prompts from keywords and can change them. Canlah AI’s measurement protocol agrees the real buyer intents with the client, locks them for the contract period, probes each under at least three phrasing rotations per engine and stores every run as a raw JSON record with prompt, full answer, citations and timestamp. Citation frequency is reported as a range, and the archive belongs to the client, so a sceptical stakeholder can re-run it.

The second difference is execution. Canlah AI turns the findings into on-site fixes, AI-optimised content and off-site authority work, delivered by a team of AI agents under human strategists.

Best for

B2B SaaS, export-focused and evidence-sensitive brands that need to track exact buyer questions and want one accountable team to measure and act, including brands that sell across English and Chinese markets.

Limitations

Canlah AI is an agency, not a $79 self-serve seat. It does not publish a rate card, and its pricing page lists 4 buyer intents for the entry tier, rising to 16 on the top tier, each re-measured monthly on ChatGPT, Gemini, Google AI Overviews and AI Mode. That is fewer questions and fewer engines than LLMrefs includes on its single plan.

Its own AI visibility is also low. In a September 7, 2026 self-audit of 39 buyer questions run three times each, Canlah AI was named in seven of 84 non-branded OpenAI answers (8.3%), in none of 93 Gemini answers and in none of 51 browser-rendered Google AI Overviews. It is less suited to a small team that only wants a cheap weekly trend across many engines.

What to verify

Ask for a redacted sample evidence pack showing the prompt, phrasing rotation, engine, full answer, cited sources and timestamp. Confirm in writing which engines your tier includes and how Perplexity and the Chinese engines are sampled for your market.

Verdict: The strongest LLMrefs alternative in this comparison when the questions must be yours, the number has to survive scrutiny and someone has to act on it. Teams that only want an inexpensive dashboard should stay with LLMrefs or a software tool below.

2. Peec AI: Best for custom prompts at mid-market scale

Peec AI is a Berlin-based AI search analytics platform where you write the prompts and it runs them daily. Starter costs $95 a month for 50 prompts on three models chosen from a default six, with unlimited seats, and Pro costs $245 for 150 prompts. Separate agency plans are priced in credits.

Best for

Mid-market teams and agencies that know which questions they want tracked and need daily visibility, position, sentiment and share of voice.

Limitations

Self-serve plans cap engines at three unless you pay per extra model, and DeepSeek and Qwen are paid API add-ons. At $1.90 per prompt on Starter, each tracked question costs about twelve times what LLMrefs charges.

What to verify

Price the models you need at the per-model rate before comparing Starter with the $79 LLMrefs plan, and confirm how many runs sit behind each daily figure.

Verdict: In an LLMrefs vs Peec AI decision, Peec AI wins on prompt control and daily data, and LLMrefs wins on engines and price.

3. Otterly.AI: Best for a small custom panel on a budget

Otterly.AI publishes Lite at $29 a month for 15 prompts, Standard at $189 for 100 prompts and Premium at $489 for 400 prompts. Every tier tracks ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot daily with unlimited team members.

Best for

Solo marketers and small teams that want to hand-pick a short list of prompts and see daily movement.

Limitations

Claude, Google AI Mode and Gemini are add-ons, and API access starts at Standard. Repeat sampling per prompt was not found on the reviewed page.

What to verify

Add the cost of the Claude, Gemini and Google AI Mode add-ons to the $29 Lite price before comparing it with the $79 LLMrefs plan, then ask how many runs sit behind each daily figure.

Verdict: In an LLMrefs vs Otterly decision, Otterly.AI starts at $29 against $79 and gives you prompt control. LLMrefs names ten engines against four in the Otterly.AI base tier.

4. Semrush AI Visibility Toolkit: Best for keyword and prompt tracking in one SEO suite

The Semrush AI Visibility Toolkit costs $99 a month per domain and puts AI visibility in the same account as rank tracking, keyword research and site audits. It includes 25 prompts for daily Prompt Tracking and 300 daily queries in AI Analysis reports, while Brand Performance reports run a large set of common queries through engines such as ChatGPT and Google AI Mode.

Best for

SEO teams that already work in Semrush and want AI visibility beside rank tracking, keyword research and site audits.

Limitations

Twenty-five custom prompts is a small panel, and each extra user needs another licence. The reviewed page names two engines, ChatGPT and Google AI Mode, against ten named on the LLMrefs page.

What to verify

Check whether your buyer questions exist in the Semrush query set before relying on its visibility score, and price the per-domain and per-seat licences for every brand you report on.

Verdict: The natural pick for a Semrush shop. LLMrefs is the cheaper way to cover more engines outside a suite.

5. Ahrefs Brand Radar: Best for category-wide benchmarking

Ahrefs Brand Radar runs more than 454 million search-backed prompts through six AI surfaces and states that it stores every response. The index costs $199 a month, and custom prompts are priced separately.

Best for

SEO teams that want share of voice across a whole category before deciding which questions deserve tracking.

Limitations

The index is built from Ahrefs’ keyword data, and Ahrefs notes that coverage may be thin for low-volume brands.

What to verify

Search the index for your brand and your top ten buyer questions before paying the $199, and ask what a custom prompt costs on top of the index.

Verdict: The broadest prebuilt prompt set in this review. Like LLMrefs, it starts from keywords, so add custom prompts for the questions the index misses.

6. Profound: Best for enterprise programmes

Profound positions itself as an enterprise answer-engine platform with an AI Marketer agent layer. Its pricing page lists a free trial of 50 prompts run daily for seven days on ChatGPT, Gemini and Google AI Overviews, then a custom Enterprise plan with up to nine answer engines, SSO/SAML and SOC 2 compliance.

Best for

Large organisations that need governance, exports, an API and security review in one contract.

Limitations

The pricing page places history, exports and API access on Enterprise rather than on the trial, and Enterprise pricing is quoted case by case, so the cost gap with the $79 LLMrefs plan is wide.

What to verify

Ask which of the nine engines your contract includes and how many runs sit behind each daily data point.

Verdict: The enterprise option. Most teams comparing it with LLMrefs are really choosing between a procurement process and a credit card.

How to decide between LLMrefs and an alternative

Pick LLMrefs if you think in keywords, need many engines and want to spend $79 a month. Pick an alternative when one of the conditions below applies.

• Choose LLMrefs if you run SEO for several brands, want ten engines on one bill and can live with a weekly trend built from generated prompts.
• Choose Canlah AI if your exact buyer questions must stay fixed, you need raw answers you can re-run or you want a team that closes the gaps.
• Choose Peec AI if you want to write your own prompts and see daily share of voice with unlimited seats.
• Choose Otterly.AI if you need a short, hand-picked prompt list at the lowest published price.
• Choose the Semrush AI Visibility Toolkit if your SEO team already lives in Semrush.
• Choose Ahrefs Brand Radar if you want a category benchmark before you write a single prompt.

Whatever you pick, run the same ten buyer questions through your two finalists and compare the raw answers, not only the score.

Frequently asked questions

Is LLMrefs worth it?

LLMrefs is worth it for SEO teams and agencies that want share of voice and citations across ten AI engines for $79 a month with unlimited seats and projects. It is less suited to teams that need daily data, control over the exact prompts measured or someone to act on the findings.

How much does LLMrefs cost?

LLMrefs lists one All in One plan at $79 a month, marked “Limited time only”, with 500 prompts, all engines, unlimited seats, unlimited projects and a seven-day free trial. A free account tier also exists. Pricing was reviewed on September 23, 2026.

What do Reddit users say about LLMrefs?

LLMrefs Reddit threads mostly praise the price and the keyword-first setup. A May 2026 agency review across 15 client brands said it would choose LLMrefs again, while one February 2026 post reported trouble finding a cancellation option. Treat single threads as anecdotes.

Does LLMrefs track prompts or keywords?

LLMrefs tracks keywords and generates the prompts behind each one from what it describes as real AI conversations. Results are aggregated to a keyword-level share of voice and position. If you need specific questions tracked word for word, confirm in the trial whether generated prompts can be edited.

What are the best LLMrefs alternatives?

The strongest LLMrefs alternatives in this review are Canlah AI, Peec AI, Otterly.AI, the Semrush AI Visibility Toolkit, Ahrefs Brand Radar and Profound. Canlah AI locks buyer questions and hands over raw evidence, Peec AI and Otterly.AI let you write your own prompts and track them daily, Semrush keeps AI visibility inside an existing SEO suite, Ahrefs Brand Radar benchmarks a category from a prebuilt index and Profound serves enterprise contracts. Which one fits depends on who writes the prompts and whether anyone has to act on the result.

Can LLMrefs or any alternative guarantee that ChatGPT recommends my brand?

No. A tool or agency can guarantee sampling, reporting and agreed work. It cannot control how an independent model answers every question, so treat any ranking guarantee as a sales claim.

Is this LLMrefs review independent?

No. Canlah AI publishes this LLMrefs review and competes with LLMrefs, so it is a vendor editorial assessment rather than an independent award. Every LLMrefs figure here comes from the llmrefs.com homepage, pricing section and FAQ as reviewed on September 23, 2026, and no tool was tested through a paid account. Check each claim against the vendor pages linked in the references before acting on it.

How is Canlah AI different from LLMrefs?

LLMrefs is self-serve software that turns keywords into generated prompts and reports weekly visibility across ten engines. Canlah AI is an agency that locks the client’s real buyer intents, probes each under phrasing rotation, hands over a raw evidence archive and then does the on-site and off-site GEO work. You can start with a free 48-hour snapshot of your own baseline.

About the author: Haoyang Pang, founder, Canlah AI. Writes on generative engine optimization and AI-search measurement for Singapore and APAC brands. This review was researched and drafted with AI assistance and edited for accuracy; competitor capabilities are taken from public pages and marked where they could not be confirmed.

References

This review uses public product, pricing and documentation pages available on September 23, 2026. Candidate discovery included search results for “llmrefs alternatives” and “llmrefs reddit”, but capability decisions were made from each vendor’s official pages. It does not use paid accounts, independently test engine outputs or treat a model logo as proof of plan entitlement.

• LLMrefs homepage and pricing section. Plan, prompt allowance, engine list, refresh cadence, geo-targeting and FAQ.
• LLMrefs About page. Company location, method description and audience.
• GenerateMore LLMrefs review. Independent ratings, including data accuracy and freshness, November 2025.
• EchoWi LLMrefs review. Independent note on the two geo-targeting figures.
• r/HonestBuyerReviews: LLMrefs review after 6 months and 15 client brands. Agency user feedback, May 8, 2026.
• r/GEO_optimization: cancellation thread. Single user billing report, February 20, 2026.
• Peec AI pricing. Plans, prompt limits and model choice.
• Otterly.AI pricing. Tier prices, prompts and engines.
• Semrush AI Visibility Toolkit. Price, prompt allowance and report limits.
• Ahrefs Brand Radar. Index size, stored responses and coverage caveat.
• Profound pricing. Trial limits, engine ceiling and Enterprise controls.
• Canlah AI GEO services and pricing. Measurement protocol, buyer-intent counts by tier and snapshot.
• Canlah AI self-audit and probe archive, anonymised, September 7, 2026. Self-visibility figures.

Do not choose a tool from this review alone. Use each finalist’s trial to run the same ten buyer questions, then compare the raw answers, how often each figure refreshes and whether you can see the exact prompts behind it.

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