Best AI Visibility Tools: How to Evaluate 18 Platforms

AI visibility platforms, also called LLM tracking tools, measure how a brand appears in generated answers: mentions, citations, answer placement, sentiment, competitors, and how those signals change over time. The 18 platforms below differ in their monitored engines, prompt sampling, evidence, limits, and what happens after a gap is reported.

Answer engine optimization (AEO) tools and generative engine optimization (GEO) tools are buyer categories within AI visibility software. Software sold under either label measures the same kind of answer-level evidence, so this guide evaluates both categories with one rubric and one table. For the concepts and workflows behind each label, see what answer engine optimization is and what generative engine optimization is.

[!TIP] Looking for enterprise AI visibility tracking? If your goal is to immediately monitor and benchmark your brand's citations across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, explore the dedicated Search Atlas LLM Visibility Platform. This comparative guide evaluates 18 standalone software options across the broader market.

Results are directional. AI answers vary with prompt wording, location, account context, model updates, retrieval conditions, and run timing. A platform's result is a sample, not a permanent ranking. Search Atlas publishes this comparison and sells LLM Visibility, so Search Atlas appears first and is evaluated by the same fields as every other platform.

The most useful comparison is controlled: use your own buyer questions, hold the prompt set steady, ask what each plan includes, and inspect a sample of responses yourself.

Key takeaways

• AI visibility platforms, including software sold as AEO or GEO tools, report different answer-level signals: mentions, citations, first-mention position, sentiment, and share of voice.
• Engine lists are not interchangeable. A vendor may list a model, an answer interface, a crawler, or an indexed prompt dataset.
• Prompt origin matters. A platform may use your prompts, vendor-generated prompts, keyword-derived prompts, or a real-user panel.
• Some platforms report gaps; others recommend work, draft content, publish through a CMS, or change what AI agents receive from a site.
• Export and API access ranges from PDF and CSV reports to REST APIs and MCP connections, so confirm the channel before relying on a platform for internal reporting.
• Public price, billing term, trial language, usage limits, add-ons, and unavailable fields belong in separate columns.
• No platform is the universal winner. The right fit depends on engines, sampling, evidence, governance, budget, and desired workflow.

TL;DR

What are the best AI visibility tools? The best fit depends on the job. Search Atlas fits teams that want AI visibility tracking alongside SEO, content, and execution. Profound, Conductor, and Athena fit broader enterprise workflows. Peec, Otterly, Waikay, and Geneo pair monitoring with recommendations, while SE Visible, Trackerly, and LLMrefs focus on reporting. Mangools offers a free first check. Ahrefs Brand Radar fits teams already using Ahrefs for research. Scrunch changes what verified AI agents receive from a site, while Evertune adds a large prompt panel, advertising, and content activation.

Are AEO tools and GEO tools different products? AEO tools and GEO tools are buyer labels for the same category of AI visibility software. Both categories can be compared on the same fields: prompts, engines, citations, competitors, sentiment, history, alerts, exports, and reporting.

How should I compare AI visibility platforms? Compare the same prompt set, engine coverage, run cadence, citation detail, competitor scope, export/API access, plan limits, price term, and path from finding a gap to acting on it.

Can one week prove that a platform improves visibility? No. One week can test data collection, prompt fit, evidence quality, and workflow usability. It cannot establish that a platform caused a later visibility change.

What AEO and GEO tools measure

AEO and GEO tools measure brand presence inside AI-generated answers and the evidence behind each result, rather than page position in a conventional search results page. A useful platform reports each of these fields separately:

• Prompt coverage: the buyer questions that run, who wrote them, and how many the plan allows.
• Engine and model coverage: the answer interfaces and models sampled on the plan you would buy.
• Citations and source URLs: cited domains and pages behind each answer, where the vendor exposes them.
• Competitor visibility: how named competitors appear for the same prompts, often reported as share of voice.
• Sentiment or framing: the tone and description an answer attaches to the brand.
• History: change across runs over time, plus how long results are retained.
• Alerts: notifications when a tracked signal changes, which are different from scheduled reports. The table records where each vendor states alerts, how they are delivered, and where alerts are user-built rather than native.
• Exports: CSV, XLSX, Google Sheets, Looker Studio, API, or MCP access to prompt-level data.
• Reporting: dashboards, scheduled or white-label reports, and shareable views for stakeholders.

A mention names the brand. A citation links or attributes an answer to a source. Sentiment describes the tone associated with the brand. Share of voice compares a brand's presence with competitors within a defined prompt set; learn the mathematical weighting in our guide to AI share of voice. These signals answer different questions and should not be collapsed into one number without understanding the calculation.

For context, see what brand AI visibility measures and AI search visibility monitoring for brands. The difference between the two monitoring categories is covered in LLM monitoring vs AI search monitoring.

How we selected and evaluated the platforms

Every entry was checked against vendor-owned product, documentation, pricing, help, or terms pages on October 12, 2026, and corrected rows were rechecked on October 13, 2026. Third-party reviews are excluded. No platform was tested hands-on; each row reports what the vendor states. Alerts were checked separately on October 14, 2026, including vendor help centers. Prices, plans, and engine lists change often, so confirm each field on the vendor's page before buying.

The reproducible rubric has 10 fields:

1. Engine coverage: Which engines or answer interfaces does the vendor name? The table preserves vendor wording.
2. Prompt controls: Can teams add prompts, edit prompt groups, choose models, or set cadence?
3. Mention, position, and share-of-voice metrics: Which answer-level metrics are explicitly stated?
4. Citation and source inspection: Does the platform show cited domains, URLs, source types, or source influence?
5. Competitor comparison: Does it compare brands, prompt results, gaps, or buying-journey visibility?
6. Sentiment: Is sentiment reported, and at what stated level?
7. Historical trend reporting: Does the vendor state that results can be compared over time? Retention is listed only when stated.
8. Exports and API: Which channels are explicitly named: CSV, XLSX, Google Sheets, Looker/Data Studio, REST API, or MCP?
9. Pricing transparency: What public price, billing term, trial, prompt limit, credit meter, or add-on is stated?
10. Actionability: Does the platform report, recommend, draft, publish, alter an AI-facing site experience, or connect findings to execution?

This rubric evaluates evidence and fit. It does not assign numeric scores or produce a universal ranking.

18 AI visibility platforms compared

The source date and evidence label apply to the verified fields in each row. “Official product page,” “official documentation,” “official pricing,” and “unavailable” describe the evidence type, not a quality score.

Platform	Best fit	Engines named by vendor	Prompt model	Metrics	Citation/source reporting	Competitor analysis	Alerts	Sentiment	Trend history	Exports/API	Reports or acts	Price, term, trial/free tier	Source date / evidence
Search Atlas LLM Visibility	Teams wanting AI visibility inside a platform that also runs SEO, content, and fixes	Growth: ChatGPT, Gemini, Google AI Mode; Pro and Agency add Copilot and Perplexity (five total)	Tracks topics and prompts by brand, competitor, and AI platform	Mentions, citations, sentiment, share of voice, competitor visibility	Citation data connects to Digital PR and authority workflows	Competitor visibility and Answer Engine Insights	Email alerts on citation changes; negative-sentiment alerts stated	Stated	Historical monitoring stated	Unavailable in the reviewed material	Acts through connected Search Atlas skills	Included from Growth, $199/month billed monthly; seven-day trial with free onboarding on Starter and Growth	Oct. 13, 2026 / official pricing page and product catalog
Conductor	Enterprise SEO and content teams	ChatGPT Auto, ChatGPT Search, Claude Sonnet, Gemini, Google AI Mode, Google AI Overviews, Grok Auto, Microsoft Copilot, Perplexity	Synthetic prompts from keyword data; editable/custom lists	Mentions, citations, sentiment tied to cited sources, market share	Mentions and citations; cited-source sentiment	Market share and topic-level competitor benchmarking	AI-visibility alerts not stated; Monitoring alerts cover site changes	Stated	Trends stated	Table/XLSX download, Data API, MCP	Produces publish-ready content; final publishing remains in the customer's CMS	No published price; Essentials has a three-week free trial with no card; AI-tracking scope in Essentials not stated	Oct. 13, 2026 / official product, pricing, documentation
Mangools AI Search Grader / Watcher	Free first check for beginners and small businesses	Watcher names ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Claude, Grok, Mistral, Llama	Grader suggests prompts from brand and niche; user input supported	Visibility, average position within top 20, competitor results	Watcher citation insights stated; source-URL detail not stated	Competitor analysis stated	Alerts not stated; weekly or monthly email reports	Unavailable	Watcher provides ongoing tracking; retention not stated	REST API	Reports	Watcher has a free tier; paid price unavailable from JS-only pricing	Oct. 13, 2026 / official product page; price unavailable
Ahrefs Brand Radar	Teams already using Ahrefs for AI visibility research	AI Overviews, AI Mode, ChatGPT, Perplexity, Microsoft Copilot, Gemini; Grok added, but new Grok data temporarily unavailable	Prompts modeled from Ahrefs keyword data; custom prompts; Claude for custom prompts	Mentions, citations, AI Share of Voice, Estimated Impressions	Cited pages, YouTube, Reddit tabs; YouTube/Reddit beta	Competitive mention and citation research	No native alerts; scheduled alerts through the separate Letaido product	Unavailable	Custom prompts daily, weekly, or monthly	Google Sheets, CSV, API, Looker documentation	Reports	Custom Prompts from $50/month; Index from $199/month per index; all platforms $699/month with 2,500 custom checks; AI indexes require Brand Radar AI add-on; prices are per month; annual add-on price not stated	Oct. 13, 2026 / official product, help, pricing, methodology
Writesonic GEO	Growth teams and agencies wanting tracking plus content and outreach	ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, Google AI Mode, Google AI Overviews (all eight on Enterprise; Starter tracks ChatGPT, Gemini, Google AI Overviews)	Prompts from 2B+ AI chats, Search Console, Keyword Planner, Reddit	Visibility, citations, share of voice, sentiment, prompt-volume estimates	Citation reporting stated	Action Center identifies gaps	Threshold alerts on visibility and citation metrics by email; Enterprise only	Stated	Trends and date ranges stated	PDF, CSV, shareable reports	Action Center, content drafts, outreach drafts, CMS push; some rewrite/fix claims are limited by docs	Starter $79/month billed annually; seven-day trial, no card; Growth has limited Action Center trial	Oct. 13, 2026 / official product, pricing, documentation
Profound	Enterprise AEO, content, PR, and brand teams	ChatGPT, Perplexity, Claude, Microsoft Copilot, Google AI Overviews, Google AI Mode, Gemini, Grok, DeepSeek; Enterprise says up to nine engines; vendor pages differ on Grok and Exa Search	Prompt Volumes models real user questions; Trial uses a fixed industry prompt set	Visibility score, share of voice, sentiment, inaccurate claims	Websites influencing answers, authority, claim sources	Stated	Visibility and citation alerts built with Agents and sent to Slack	Stated	Trends stated; all-time history on Enterprise, none on Trial	CSV and JSON on Enterprise; none on Trial	Agents research, write, publish through CMS; approval default	Trial: 50 prompts daily for seven days on three engines; Enterprise custom; Agency Growth 400 credits per client workspace, price unavailable	Oct. 13, 2026 / official product, pricing, documentation
Rankscale AI	Agencies, enterprise, SEO teams running AEO/GEO	17+ engines; named examples include ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode, Muse Spark, Copilot, DeepSeek, Grok, Mistral	Query fan-outs and semantic prompt-volume reconstruction	Visibility score, rankings, sentiment, citation frequency, AI readiness, crawlability	Citation frequency and sources	Competitor tracking stated	Email notifications on critical changes; plan tier not stated	Stated by brand, topic, model	Trends stated	Sharing, MCP, REST API	Reports and audits; recommendations beta	Essentials $17/month yearly only; Pro $99/month with seven-day trial and Enterprise $780/month (billing term not labeled; yearly billing saves 15%); other tiers include Pro+, Growth, Custom	Oct. 13, 2026 / official product and pricing
Otterly AI	Agencies and small teams wanting lower-cost monitoring	ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot; AI Mode, Gemini, Claude add-ons	Buyer prompts; origin not stated	Mentions, position, share of AI voice, sentiment, domain citations	Domain citations and crawler history	Competitor benchmarking and share of AI voice stated	Brand-mention change alerts stated; API alerts via Zapier, Make, or Slack from Standard	Stated	Crawler-bot history stated	API and MCP from Standard	Reports and recommendations; team makes fixes; Marketplace placements exception	Lite $29/month monthly or $25/month annually for 15 prompts; free trial, length conflicts publicly	Oct. 13, 2026 / official product, pricing, help
XFunnel / HubSpot AEO	Marketers wanting a low-cost beta tracker (no HubSpot subscription required), or enterprises wanting managed AEO	HubSpot AEO: ChatGPT, Gemini, Perplexity; XFunnel: ChatGPT, ChatGPT + Browsing, Perplexity, Claude, Google AI Overviews, Google AI Mode, Gemini, Copilot, Grok (Enterprise; free audit covers ChatGPT, Gemini, Claude, Perplexity)	HubSpot suggests prompts from company, competitors, industry; XFunnel not stated	Mentions, share of voice, sentiment, citations; buying-journey gaps	Citation reporting stated	Persona and buying-journey gaps	Trend alerts named in HubSpot blog posts only; not on product or help pages	Stated	HubSpot trend history stated	Unavailable	HubSpot recommends; XFunnel offers managed content, Wikipedia strategy, and partner-managed Reddit engagement	HubSpot AEO $50/month monthly or $45/month annually, beta, 25 prompts; trial conflicts; XFunnel free one-time 50-query audit and custom Enterprise	Oct. 13, 2026 / official HubSpot and XFunnel product/pricing
Evertune AI	Mid-market and enterprise brands and advertisers	11 models; named examples include ChatGPT, Claude, Perplexity, Gemini, Copilot, DeepSeek, Meta AI, AI Overview, AI Mode	EverPanel, over 150 million real user prompts	AI Brand Index, frequency, position, word association, sentiment	Source influence described; “Sources Analysis” name unavailable	Category benchmarking	Sentiment-change alerts named in a vendor blog post only; channel not stated	Word Association includes sentiment	Historical trends stated	Unavailable in the reviewed vendor pages	Content drafts, ChatGPT advertising, affiliate distribution; content copied/downloaded to CMS	Pro $800/month; Enterprise custom; demo request, no trial stated	Oct. 13, 2026 / official product and pricing
Peec AI	Marketing and SEO teams starting AI search analytics	ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot, Perplexity, Gemini; Naver AI and others paid options	Real search-volume-based prompt selection; UI scraping daily	Visibility, position, sentiment, share of voice, win rate	Cited sources grouped by type	Ranked actions and competitor analysis	No native alerts; user-built Slack alerts through Peec MCP on paid plans	Stated	Change over time stated	CSV, API, MCP, Looker Studio; plan availability varies across Peec pages	Reports and recommendations; teams execute	Starter $95/month monthly for 50 prompts per Peec's AI-instructions page (the live pricing page shows no prices); annual savings about 15%; free trial, terms unavailable; add-ons priced separately	Oct. 13, 2026 / official product, pricing instructions, documentation
Scrunch	Brands, agencies, enterprises changing what verified AI agents receive	ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta; vendor pages differ on Copilot/Grok	Prompt origin not stated	Presence, position, sentiment, competitor results, prompt variants	Cited domains and source pages; Agent Pages change summary	Competitor analysis stated	Signals alerts on thresholds, trends, and anomalies, in-app and by email digest; all plans	Stated	Changes over time stated	Reporting dashboard; Enterprise Data API (Enterprise only)	Agent Pages; basic mode makes no content changes, restructuring uses the separate Site Optimization feature; human-facing site unchanged	Starter $250/month annually or $300 month-to-month, 350 custom and 1,000 industry prompts; seven-day trial, no card; Growth $417 annual or $500 monthly; Enterprise custom	Oct. 13, 2026 / official product, pricing, release
SE Visible	Marketers and agencies wanting daily browser-collected data	ChatGPT, Gemini, Perplexity, Google AI Mode, Google AI Overviews; Claude coming soon	Prompt origin not stated	Visibility, share of voice, position, sentiment, period comparison	Cited domains and URLs; competitor source lists	Topic gaps ranked by size	No event alerts (described as planned); weekly email flags project changes	Stated	Daily refresh and period comparison stated	CSV, XLSX, Data Studio, API	Reports	Basic from $99/month monthly for 200 prompts; annual dollar amount unavailable; 10-day trial	Oct. 12, 2026 / official product, pricing, API
Trackerly	Agencies and in-house SEO teams needing model-version transparency	ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Google AI Mode, Google AI Overviews	User-configured prompt groups; model and frequency configurable	Mentions, share of voice, first-mention position, sentiment	Native-search citations; exact model version stated	Competitor mention tracking against a custom competitor set (all plans)	Alerts not stated in reviewed official sources	Stated	Configurable history stated; daily-to-monthly claim unavailable	REST API from Growth	Reports	Lite $27/month for 4,500 credits; seven-day trial on every plan	Oct. 13, 2026 / official product and pricing
Waikay	Brand managers, mid-sized agencies, multi-brand enterprises	ChatGPT, Gemini, Claude, Sonar, Google AI Mode, Microsoft Copilot; homepage plan cards list four (ChatGPT, Google, Claude, Sonar)	User-defined queries	Share of voice, topical presence, AI Knowledge Score, citations, fact checks	Knowledge and commercial source tracking	Competitor benchmarking	Alerts not stated; API supports user-built flagging	Sentiment captured per mention; scoring method not stated	Mentions over time stated	API and MCP	Reports and recommendations; structural, enhancement, and content-creation suggestions	From $24.95/month (Site Owners and Freelancers: 40 prompts per week on four models); Small Teams $69.95/month for up to 120 prompts; free plan has three one-time credits	Oct. 13, 2026 / official product, pricing, documentation
Athena	Enterprise and e-commerce teams using GA4 or Shopify	11 models; additional models on request	Prompt source not stated; prompt-volume estimation available	Mentions, citations, sentiment, share of voice, competitors	Sources and competitor insights	Stated	Brand-mention alerts stated on marketing pages; channel not stated	Stated	Continuous changes over time	CSV (Starter); REST API (paid add-on on Starter, included in Enterprise); MCP; Looker Studio	Drafts, two-step review, outreach, publishing via Shopify, WordPress, Webflow, and other CMS integrations	Essential free tier with 300 credits; Starter $295/month monthly; annual dollar amount unavailable	Oct. 13, 2026 / official product, pricing, integrations, terms
LLMrefs	Teams tracking keyword-based prompt sets across many engines at a low entry price	ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta, DeepSeek	Fan-out prompts generated from imported keywords	Share of voice, position	Full set of cited source URLs	Brand-vs-competitor share of voice and position	Notifications on visibility changes; channel not stated	Unavailable	Weekly reports; retention not stated	CSV, API	Reports	$79/month, labeled limited time, 500 prompts; seven-day free trial; annual term unavailable	Oct. 13, 2026 / official product and pricing
Geneo	Small teams, startups, freelancers, agencies, white-label reporting	ChatGPT, Gemini, Google AI Overviews, Perplexity	Prompt origin and automatic industry-prompt behavior unavailable	Mention rate, citation rate, total citations, sentiment, share of voice, position	Citation metrics and content-gap analysis	Competitor topic gaps	Alerts mentioned on vendor blog only; not in product pages or docs	Stated	Continuous monitoring stated; unlimited history unavailable	White-label downloadable reports and client portal (agency plans); no API stated	Reports and recommendations; vendor says it never posts or edits content	Pro $39.90/month for 1,000 credits; 50 free trial credits; Agency Starter $129/month	Oct. 13, 2026 / official product, blog, agency, about

Best fit by use case

Monitoring only or connected to execution

The first buyer-fit question is what should happen after a platform finds a gap. Some platforms stop at reporting. Others rank recommendations, draft content or outreach, publish through a connected CMS, or change what AI agents receive from a site. Scrunch's Agent Pages, for example, changes what verified AI agents receive at the edge while human visitors see the original site.

Monitoring-focused platforms fit teams that already have owners for SEO and content work and need a clean measurement layer. In the table, Mangools, Ahrefs Brand Radar, SE Visible, Trackerly, and LLMrefs report results. Otterly, Peec, Waikay, Geneo, and Rankscale add recommendations or audits, and the team carries out the work.

Execution-connected platforms fit teams that want findings tied to SEO, content, PR, technical, or advertising work. Search Atlas connects LLM Visibility findings to content and technical SEO work, and its citation data can support Digital PR. Conductor, Writesonic, Profound, and Athena produce or draft content. All but Conductor can push or publish through CMS integrations, and Profound and Athena add review steps. Evertune adds content drafts and ChatGPT advertising.

Before choosing execution, check who approves a change and which systems the platform can write to. A monitoring-only platform can still be the better fit when the team only needs measurement or already runs execution elsewhere.

Broad SEO plus execution

Search Atlas fits teams that want AI visibility as part of a wider marketing platform. LLM Visibility monitors answer-level signals, while connected Search Atlas skills support content, authority, and technical work.

Conductor connects AI visibility with enterprise SEO and content workflows. Its content is publish-ready, but final publishing remains in the customer's CMS. Writesonic combines tracking with Action Center work, content, outreach drafts, and CMS push, with some execution claims limited by documentation status.

Specialist AI visibility monitoring

Ahrefs Brand Radar, Peec, SE Visible, Trackerly, Waikay, Geneo, and LLMrefs suit teams prioritizing visibility measurement, citations, competitor context, and trends. Their workflows differ: Ahrefs uses keyword-derived prompt indexes and custom checks; Peec uses UI scraping and search-volume-based selection; SE Visible emphasizes daily browser-collected results; Trackerly exposes model versions and native-search citations; LLMrefs generates fan-out prompts from imported keywords.

Enterprise AI analytics and governed workflows

Profound and Athena combine answer-level analysis with content, outreach, commerce, or governed task workflows. Profound agents include approval by default. Athena connects AI visibility to GA4 and Shopify and moves drafts through review. XFunnel's Enterprise offering adds managed content, Wikipedia strategy, and partner-managed Reddit engagement. For a field-by-field view of two of these options, see Search Atlas vs Profound.

Lower-cost prompt tracking

Mangools offers a free first check and a free Watcher tier. Otterly starts with a low-cost prompt plan and sells extra engines as add-ons. Rankscale uses credit-based plans, with Essentials at $17 per month on yearly billing. Waikay and Geneo also provide lower-cost entry points, but prompt limits and credit units require direct comparison.

API and reporting workflows

Conductor, Ahrefs, Mangools, Writesonic, Profound (Enterprise), Rankscale, Otterly, Peec, Scrunch (Enterprise), SE Visible, Trackerly, Waikay, Athena, and LLMrefs state at least one export or API channel. Ask whether the export contains raw responses, prompt-level rows, citations, engine names, and timestamps. A PDF report is different from an API that supports a repeatable internal dataset.

Engine and citation coverage are different

Read engine lists literally. ChatGPT, ChatGPT Search, ChatGPT with browsing, Google AI Overviews, Google AI Mode, Gemini, and a crawler are different measurement surfaces. A vendor can monitor an answer interface, an underlying model, an indexed prompt corpus, or a site's AI-bot traffic without measuring the same thing as another vendor.

Plan-level coverage matters as much as the headline list. Ask for the exact engine list for the plan you would buy, prompt limits, refresh cadence, and paid add-ons.

Citation reporting also has several meanings. A platform may show the URL cited in a response, group sources by type, identify domains that influence answers, analyze native-search citations, or show source pages in a separate research index. These fields are not one universal citation metric.

Prompt datasets need the same care. A vendor-generated prompt, keyword-derived prompt, buyer-entered prompt, and real-user panel answer different measurement questions. A real-user panel can add demand context, but it does not make every resulting answer a direct observation of an individual user's session.

Pricing, limits, and evidence quality

Compare the price with the unit behind it. A monthly fee may buy prompts, credits, checks, model runs, workspaces, or a mixture. A credit may represent one prompt on one platform for one refresh, while another vendor may price a prompt group or recurring plan. Ask vendors to calculate the cost of your actual prompt set.

Billing terms must stay attached to every price. Scrunch Starter is $250 per month billed annually or $300 month-to-month. Rankscale Essentials is $17 per month on yearly billing. Writesonic Starter is $79 per month billed annually. SE Visible's annual dollar figure is unavailable, even though an annual discount is stated. Athena's annual percentage discount is stated, but its annual dollar amount is unavailable.

Trial language varies. Conductor states three weeks with no card. Profound states 50 prompts daily for seven days. Scrunch states seven days with no card. SE Visible states 10 days. Trackerly states seven days on every plan. Otterly's pages conflict on seven versus 14 days, so this guide says only “free trial.” HubSpot AEO's trial wording also conflicts, so its duration is not presented as settled.

When vendor pages conflict, the table states the conflict. When a vendor does not state a field, the field is unavailable. No field is filled from a competitor review or inferred from a similar product.

Buyer checklist

• Required engines: Which engines and answer interfaces must the plan cover? Are they included or add-ons?
• Prompt set: Can you add, edit, group, pause, and reuse buyer questions?
• Prompt origin: Are prompts vendor-generated, keyword-derived, user-defined, or panel-based?
• Sampling cadence: How often does each prompt run, and how many runs support a reported value?
• Location and context: Can the platform control country, language, device, account, or other context?
• Citation detail: Does it show cited URLs, source domains, source type, citation position, or only a count?
• Competitor scope: Can you compare the same prompts and intent across named competitors?
• Trend data: How far back does history go? Is raw-response retention stated?
• Exports and API: Can the team export raw prompt-level data or connect an internal report?
• Governance: Are approvals, roles, audit history, and CMS permissions clear?
• Actionability: Does the platform report, recommend, draft, publish, or change an AI-facing experience?
• Budget: What does the plan meter, and what does the complete prompt set cost at the intended cadence?

See our LLM visibility tracking plan for a repeatable measurement design and AI search visibility reporting for agencies for agency workflows.

Search Atlas disclosure and fit

Search Atlas publishes this guide and sells LLM Visibility. Search Atlas is listed first, receives no numeric score, and is not presented as the best overall platform.

Search Atlas LLM Visibility measures mentions, citations, sentiment, share of voice, and competitor visibility across topics and prompts. Answer Engine Insights connects visibility findings to Content Genius and OTTO, while citation data can support Digital PR and authority workflows. Search Atlas fits teams that want measurement connected to a broader SEO and execution platform.

Teams that want reporting only may prefer a specialist platform with a narrower scope. Teams that need a particular engine, export, cadence, or governance control should verify that field on the plan they would purchase. See AI Visibility for the first-check experience and LLM Visibility for the ongoing workflow.

One-week comparison method

A one-week trial can test whether a platform's data is understandable, repeatable, and useful. It cannot prove that a platform caused an improvement in visibility.

1. Write the prompt set first. Use buyer questions from sales calls, support tickets, customer research, and Search Console. Include research, comparison, and decision intent.
2. Hold wording steady. Give each vendor the same prompts and record exact text, engine, location, date, and plan.
3. Record limits. Capture included engines, prompt or credit limits, refresh cadence, add-ons, and trial restrictions.
4. Ask how data was collected. Record API, browser, UI scraping, vendor-generated prompt, keyword-derived prompt, or panel source where stated.
5. Repeat a sample yourself. Run five prompts in the same engines and compare the answer, mention, position, and citation with the platform record.
6. Inspect citations. Confirm that the cited URL, domain, source category, or citation count means what the vendor says it means.
7. Separate reporting from action. Note whether the vendor recommends, drafts, publishes, changes an AI-facing page, or leaves work to your team.
8. Review the evidence. Keep reproducible or explainable results. Label one-off differences as directional.

Frequently asked questions

What is an LLM tracking tool?

An LLM tracking tool is another name for an AI visibility platform. An LLM tracking tool samples answers from large language models and AI search interfaces and records brand mentions, citations, answer placement, sentiment, and competitors over time. The results are samples, so they show direction rather than a fixed rank.

Do AI visibility platforms track conventional rankings?

AI visibility platforms generally track brand presence inside generated answers, while conventional SEO platforms track pages in search results, clicks, impressions, and indexed-page signals. Some AI visibility platforms include technical audits or keyword context, but those fields do not turn an AI answer into a stable conventional ranking.

Use both layers when the business depends on search traffic and answer inclusion. Conventional rankings show page performance in indexed search. AI visibility shows how systems describe, mention, or cite the brand during answer generation.

Does one AI engine predict another?

Visibility in one AI engine does not reliably predict visibility in another. Engines differ in retrieval, training data, web-search behavior, citation rules, updates, personalization, and interface. A strong result in ChatGPT does not establish the same result in Gemini, Perplexity, Google AI Mode, or Google AI Overviews.

Cross-engine tracking is useful when engine, prompt, location, date, and sampling method remain visible in the record.

Do these platforms show real user queries?

Most platforms do not provide complete access to live user query logs. They use controlled prompts, keyword-derived prompts, vendor-generated prompts, buyer-entered prompts, or modeled prompt volumes. Evertune states that EverPanel contains more than 150 million real user prompts. Profound's Prompt Volumes describes what people ask answer engines, and Ahrefs models prompts from its keyword database. Those sources add context, but they do not make every tracked answer a direct observation of a named user's session.

Ask each vendor what “real” means in its product, and keep prompt origin separate from answer collection method.

How often should teams sample AI visibility?

Weekly sampling is a reasonable baseline for core prompts when the goal is directional trend detection. Daily sampling can fit a product launch, campaign, public issue, or fast experiment. Monthly sampling can fit lower-priority prompts with lower volatility.

The right cadence depends on prompt volatility, competitive pressure, business impact, and run cost. Record the cadence with every comparison so a daily dataset is not compared casually with a monthly one.

How can teams compare vendors fairly?

Use the same prompts, engines, locations, date window, run cadence, competitor set, and evidence checks. Record what each plan includes rather than using the largest headline engine list. Compare raw response access, citation detail, trend retention, exports, governance, actionability, and price units.

If a vendor does not disclose prompt origin, run count, retention, or a billing term, mark the field unavailable instead of guessing.

Are AI visibility results exact rankings?

AI visibility results are directional measurements, not fixed rankings. The same wording can produce different answers across runs, and prompt samples represent only the questions and contexts included. Use repeated measurements, manual spot checks, and analytics signals such as AI referral traffic or branded search to validate important trends.

What should happen after a platform finds a gap?

The next step depends on the platform and the gap. A report may identify a missing citation, inaccurate claim, competitor source, topic gap, or technical access issue. Some platforms rank recommendations. Others draft content, prepare outreach, publish through an approved CMS, or change an AI-facing version of a page. Review the evidence and approval path before treating a recommendation as a fix.

Final decision

Choose the platform that matches the measurement question and the work your team expects after measurement. Start with required engines and real buyer prompts. Then compare sampling, evidence, competitors, history, exports, governance, price units, and actionability. A controlled trial produces a more useful decision than a universal “best” list because it tests the prompts and workflows your business needs.