8 LLMrefs Alternatives Compared by Price, Prompts and Pipeline

What sends teams looking for LLMrefs alternatives?

Teams replace LLMrefs when they need more than basic AI search visibility, ranking and citation tracking. Its All in One plan covers brand visibility across ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini and additional answer engines, but buyers may need a different billing model, workflow or reporting outcome.

• Billing unit. LLMrefs All in One is listed at $79 per month for 500 prompts, per industry-lens.com on October 20, 2026.
• Refresh cadence. LLMrefs lists 500 prompts refreshed weekly, as of its public listing in October 2026. That cadence does not provide the daily prompt history some teams use to separate sustained movement from a one-day answer change.
• Action queue. Peec AI offers an Actions module with a 1 to 3 priority work queue, per reddit.com.
• Revenue reporting. Teams reporting pipeline from AI search need attribution that connects AI-referred visits, accounts and deals, rather than a 500-prompt visibility snapshot alone. Sona AI Visibility connects AI citations and AI-referred visits to pipeline and revenue.

LLMrefs has been described as a solid entry-level choice for basic mention tracking, per youtube.com. Teams usually switch because they need daily resolution, a prioritised work queue, agency workflow or revenue measurement.

Which LLMrefs alternative fits a lean team, an agency or an enterprise?

The right LLMrefs alternative depends on the operating model, not a headline engine count. Lean teams need a clear prompt allowance. Agencies need client administration and reporting. Enterprise teams need a deeper model for optimization and governance.

• Lean teams. Otterly.ai starts at $29 per month for 15 daily prompts across four engines, as of the October 2026 listing. Sona AI Visibility starts from $75 per month billed annually and tracks about 56 prompts daily across three engines on Starter.
• Agencies. Ask each vendor about client workspaces, white-label reports, exports and seats before migrating. Those details determine whether a multi-client workflow works.
• Enterprises. AthenaHQ, Scrunch AI and Profound suit teams evaluating guided optimization or deeper service tiers, with pricing and usage structures that require direct scope checks.
• Revenue teams. Sona AI Visibility suits teams that must connect AI search activity to pipeline and revenue, rather than stopping at citations and rankings.

Running the same prompt list daily reveals patterns that a weekly snapshot can obscure. Daily prompt tracking and quarterly positioning reviews serve different reporting needs, so buyers should test both cadence and workflow.

How do the 8 LLMrefs alternatives compare on price, prompts and engines?

The table compares public entry plans and published agency offers as of October 2026. Monthly fees are not directly interchangeable because plans use prompt slots, credits, answer responses and agency workspaces. Sona AI Visibility appears first because it connects AI citations and prompts to pipeline and revenue on one account timeline.

Tool	Starting price	Agency Plans? (Yes/No)	# of Answer Engines Tracked	Answer Engines	# of Daily Tracked Prompts (entry plan)	Cost per Daily Tracked Prompt	Differentiation
Sona AI Visibility	From $75/month billed annually	Yes	11	Not published	5,000 credits/month, about 56 daily tracked prompts across three engines	$0.45 per daily tracked prompt	Connects AI citations and prompts to pipeline and revenue, and tracks AI crawler activity from server logs or an edge worker without a JavaScript tag.
Profound	From $99/month for Agency Growth	Yes	Not published	Not published	Not published	No refresh cadence published	Agency Growth includes 10 pitch workspaces per month.
Peec AI	From $95/month	Yes	3	Not published	50 prompts daily	$0.63 per daily tracked prompt	Cross-engine visibility reporting and an Actions workflow.
Otterly.ai	From $29/month	Yes	4	ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot	15 prompts daily	$0.48 per daily tracked prompt	Entry-level prompt monitoring across four answer engines.
Scrunch AI	From $250/month	Yes	4	ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot	125 prompts	No refresh cadence published	Enterprise optimization focus.
AthenaHQ	From $295/month	Not published	11	Not published	3,600 credits/month, unlimited prompts	No refresh cadence published	Guided optimization for enterprise teams.
PromptWatch	From $95/month	Yes	Not published	Not published	50 prompts per month	$0.48 per daily tracked prompt	Prompt and response allowances across all supported models on every plan.
Goodie	From $295/month	Yes	5	Not published	110 prompts daily	$0.67 per daily tracked prompt	Daily prompt allowances with Core, Pro and Enterprise tiers.

A brand-level visibility score is not a work item. Prompt-level results identify the buyer question that produced a citation and the source in the answer. Sona AI Visibility connects that prompt-level view to citations, pages, accounts and revenue, giving teams a basis for prioritisation.

What are the 8 best LLMrefs alternatives?

Sona AI Visibility: best for tying AI visibility to pipeline and revenue

Sona AI Visibility connects buyer prompts and AI citations to pipeline and revenue on one account timeline, then tracks the AI crawler and agent activity behind potential citations. Mention and competitor tracking across 11 AI engines provides the baseline. Sona also identifies companies behind anonymous AI-referred visits on Growth plans and connects activity to account-level intent.

Plans start from $75 per month billed annually, with about 56 prompts tracked daily across three engines on Starter, per Sona pricing as of October 2026. It suits B2B teams that need AI search measurement inside revenue reporting. Migration requires rebuilding the prompt list, connecting attribution data, establishing a fresh baseline and running both systems on identical prompts.

Otterly.ai: best for lean teams that want low-cost prompt monitoring

Otterly.ai tracks prompts across ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot on its Lite plan. Its entry plan is listed at $29 per month for 15 daily prompts across four engines, while Standard is listed at $189 per month for 100 prompts, as of the October 2026 listing.

Otterly.ai suits small teams that need a contained prompt-monitoring scope before expanding into more engines or prompts. Moving from LLMrefs means copying the current prompt set, selecting the four entry-plan engines, recording a baseline and running the same prompts in parallel. The parallel period matters because two tools can return different answer samples for the same query.

PromptWatch: best for teams that need prompt and response allowances

PromptWatch starts from $95 per month for 50 prompts and 6,000 responses per month, as of October 2026. All supported models are available on every plan, without engine add-ons. Agency plans start from $199 per month for 10,000 responses per month.

PromptWatch suits teams that need to evaluate prompt monitoring alongside a published response allowance. Migration requires transferring the prompt list, confirming the required response volume and recording a baseline before interpreting changes. Teams should distinguish between prompt counts and answer-response counts when comparing the plan with LLMrefs.

Peec AI: best for teams that want cross-engine reporting and a prioritised work queue

Peec AI provides cross-engine reporting and an Actions module with a 1 to 3 priority work queue, per reddit.com. Its Starter plan is listed from $95 per month for 50 prompts tracked daily across three active engines, as of October 2026 public pricing.

Peec AI suits teams that want visibility reporting paired with a queue for work prioritisation. Migration requires importing or rebuilding prompts, defining competitors, setting the active engines and establishing a baseline before interpreting changes. Run the same prompt list daily during the comparison period because a change that holds for four days is a trend, while a one-day spike is noise.

Goodie: best for teams that need higher daily prompt allowances

Goodie starts from $295 per month for 110 prompts tracked daily across five models, as of October 2026 public pricing. Its Pro plan lists eight models and 250 prompts daily, while Enterprise has custom pricing and lists up to 14 models.

Goodie suits teams that need a published daily prompt allowance and an agency plan. Migration requires rebuilding the monitored prompt list, confirming the selected plan's model coverage and documenting a fresh baseline. Teams should confirm the billing period before comparing Core-plan pricing with monthly plans from other vendors.

Profound: best for mid-market and larger teams that expect deeper functionality

Profound offers a free trial with 50 prompts tracked daily for seven days across ChatGPT, Gemini and Google AI Overviews. Agency Growth starts at $99 per month, while client workspaces are listed from $399 per month each, as of October 2026 public pricing.

Profound suits mid-market and larger teams that expect a scoped agency or enterprise deployment. Migration requires recreating the prompt universe, deciding whether trial coverage represents the production engine mix and documenting a baseline before adding client workspaces. The setup conversation should establish workspace requirements early because the published pricing separates pitch workspaces from client workspaces.

AthenaHQ: best for enterprise teams wanting guided optimization

AthenaHQ is positioned for enterprise teams wanting guided optimization. Its Starter plan is listed from $295 per month for 3,600 credits and 11 models, while its Essential offering includes $25 of credit, equivalent to 300 credits, as of the October 2026 listing.

AthenaHQ suits enterprise teams that want to test an optimization-oriented workflow before committing to a larger programme. Migration requires mapping existing prompts into credits, validating model coverage, setting governance for shared reports and capturing a new baseline. The 300-credit offering provides a defined evaluation pool, but the test should use the same prompts, locations and account conditions as the incumbent tool.

Scrunch AI: best for enterprise optimization and agent-experience workflows

Scrunch AI focuses on enterprise optimization and agent-experience workflows. Its Core plan starts from $250 per month and includes 125 prompts across ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot, as of October 2026 public pricing. Enterprise pricing is custom.

Scrunch AI suits teams with an enterprise optimization brief and a defined operating group for AI search work. Migration requires rebuilding the monitored prompt set, selecting the required engines, documenting current citation visibility and running parallel reports during the initial baseline. Procurement teams should also confirm enterprise-scope requirements before comparing Core-plan data with a broader deployment.

Why can't you rank AI visibility tools by monthly price alone?

Monthly price alone cannot rank AI visibility tools because vendors sell different measurement units. LLMrefs lists 500 prompts at $79 per month, Peec AI lists 50 daily prompts at $95 per month, and Otterly.ai lists 15 daily prompts at $29 per month or 100 prompts at $189 per month, as of October 2026 listings.

AthenaHQ sells 3,600 credits on Starter, while PromptWatch sells prompts and answer responses rather than a comparable daily prompt allowance. Compare the billing unit, refresh cadence, engine coverage and included usage. A prompt quota, credit balance and response allowance are not interchangeable units.

Engine count is also a weak proxy for relevance. AthenaHQ Starter lists 11 models, while Otterly.ai Lite lists four engines, as of October 2026 public pricing. Sona AI Visibility tracks 11 engines and connects AI citations and prompts to pipeline and revenue. The stronger shortlist tracks the two or three answer surfaces where buyers research vendors.

How can you evaluate LLMrefs alternatives with a repeatable buyer test?

This is a desk-research comparison based on public listings read in October 2026, not a hands-on accuracy test. Sona publishes this comparison and has a commercial interest in the category. The editorial method separates published plan facts from judgments that require a buyer’s controlled test.

• Billing-unit comparability, 20%. Can a buyer understand what the plan measures and buys?
• Engine and surface coverage, 15%. Does the plan cover the answer surfaces relevant to the buyer?
• Citation visibility, 15%. Does the product report brand mentions, rankings or cited sources?
• Action workflow, 15%. Does the product provide prioritisation or optimization workflow?
• Revenue and traffic attribution, 20%. Can the buyer connect AI search activity to commercial outcomes?
• Agency and exportability evidence, 10%. Are multi-client workflow and data movement details published?
• Published methodology, 5%. Does the vendor explain how it samples and scores answers?

Break a tie by testing the buyer’s actual prompt set. Use identical prompts, location and account state, repeat each prompt run, log model version and date, then compare share of voice as a range rather than a point. AI answers change with location, account history, model version, retrieval context and time.

Ask every vendor for the prompt set, sample size, scoring rule, update frequency and engine-specific limits. Sona’s own AI visibility data, September 2026, covers eight answer surfaces: ChatGPT, Google AI Overviews, Perplexity, Google AI Mode, Gemini, Mistral, Qwen and Claude. That scope illustrates why an engine list alone does not establish comparable scoring.

Does tracking AI visibility show whether it produces pipeline?

Tracking AI visibility alone does not show pipeline. A brand can appear frequently in AI answers without generating qualified traffic, conversions or opportunities. Mention counts and rankings remain the category baseline; Sona AI Visibility connects AI citations and prompts to pipeline and revenue, then identifies the account behind AI-referred visits.

Sona AI Visibility infers the likely prompt behind an AI-referred visit and supports configurable buying stages. Agent Analytics shows which AI crawlers visit a site and which pages they read, using server logs or a lightweight edge worker rather than a JavaScript tag.

Teams that need only mention and rank tracking should keep a mention tracker. Teams reporting commercial impact need an account-and-deal measurement path, including analytics or CRM connections. Those connections usually require the longest attribution-led implementation effort.

What does LLMrefs still do better than its alternatives?

LLMrefs remains a sensible option for basic mention and rank tracking across a broad set of answer engines. Its All in One plan includes 500 prompts for $79 per month, per industry-lens.com on October 20, 2026.

Staying with LLMrefs makes sense when the requirement is basic brand visibility, rank and citation tracking across ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini and additional engines. It also makes sense when no attribution workflow or prioritised work queue is required. Migration should solve a specific operating need, not replace a tool simply because more alternatives exist.

What does moving off LLMrefs take in time and setup?

Moving off LLMrefs requires a controlled prompt migration and a fresh baseline, not just a new subscription. Scores will not match one-to-one because answer engines vary by model version, location, retrieval context, account state and time. Compare new trends from a shared baseline rather than isolated scores.

1. Export or copy the current prompt list, tracked brands and competitors.
2. Map the old billing unit to the new one, whether prompts, credits or keywords.
3. Rebuild the prompt set and record a baseline in the replacement tool.
4. Run old and new tools in parallel on identical prompts each day.
5. Cancel the incumbent only after the new reporting pattern is understood.

AthenaHQ’s free offering includes $25 of credit, equal to 300 credits, as of the October 2026 listing. That provides a bounded test before commitment. For attribution-led platforms, analytics and CRM connections require the longest setup effort because the objective extends beyond prompt tracking into account and deal measurement.

What are the frequently asked questions about LLMrefs alternatives?

Which AI engines do LLMrefs alternatives monitor?

LLMrefs covers ChatGPT, Google AI Overviews, Perplexity, Claude and Gemini, plus additional AI engines. Otterly.ai Lite covers four engines, while AthenaHQ Starter covers 11 models, as of October 2026 public listings. Sona AI Visibility covers 11 engines. Match engine coverage to the answer surfaces where buyers ask vendor-research questions.

Are the prices of AI visibility tools comparable?

Not directly. Vendors bill in prompts, credits, keywords and model runs, so a monthly-fee ranking misleads. Compare the billing unit, engine coverage and included usage using October 2026 listings. A credit balance is not equivalent to a daily prompt allowance.

Why do visibility scores differ between tools?

AI answers vary by location, account history, model version, retrieval context and time. Without identical prompts and sampling rules, two tools can report different scores for the same brand. Test a shortlist on one controlled prompt set, with repeated runs and a documented date range.

Does tracking mentions in AI answers show revenue impact?

Mention tracking alone does not show revenue impact. Teams reporting pipeline need a tool that connects prompts and citations to traffic, accounts and deals. Sona AI Visibility is built around that measurement path, rather than treating citations as the final outcome.

Is there a free way to try an alternative before cancelling?

AthenaHQ lists a free offering of $25 credit, equal to 300 credits, as of the October 2026 listing. Otherwise, run a parallel evaluation on identical prompts before cancelling LLMrefs. The comparison should use the same location, account state and sampling schedule.

How long does it take to switch AI visibility tools?

Setup mainly involves rebuilding the prompt list, tracked brands and competitors, then establishing a fresh baseline. Run both tools in parallel so trend lines can be compared. Analytics or CRM connections are the slowest setup step when the replacement tool includes attribution.

Last updated: October 2026