20 Best AI Visibility Tools for 2026: An Evidence-Led Enterprise Comparison

Verdict: Best overall for evidence-led enterprise GEO: per-brand question scope, inspectable answer evidence, entity intelligence, specialists plus agents, and owned implementation through remeasurement.

Best for

Enterprise brands, portfolios, and agencies that want per-brand buyer questions, evidence across eight supported AI systems, entity intelligence, expert-led implementation, and enterprise controls in one program

Availability

Available now with expert-led onboarding, tailored configuration, and ongoing advisory support, plus a free public AI Readiness Check that needs no account; selected Enterprise capabilities have onboarding dependencies

Pricing orientation

Pro is published at EUR 399 per month billed annually, or EUR 499 monthly, at verification time, covering one brand, three markets, 60 monitored prompts, and twelve months of history; Agency and Enterprise are scoped with a CiteSurge specialist before launch

CiteSurge treats enterprise GEO as an evidence and implementation discipline, not a single score. It observes ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Google AI Mode, Bing Copilot, and Grok when each provider is configured, ready, enabled for the project, and returning reliable evidence. Available answers, mentions, citations, questions, engines, markets, timing, and limitations remain inspectable. Confirmed, ambiguous, and unavailable observations stay distinct.

CiteSurge builds a per-brand buyer-question set from the brand brief, entity record, offerings, audiences, markets, competitors, existing questions, and latest audit. The project owner can review, edit, activate, and retire the active set within plan limits. Presence, Mention Share of Voice, and Citation Share of Voice remain unweighted measures over that observed panel, not traffic, reach, search volume, demand, or market share.

The program is expert-led. CiteSurge specialists help shape the brief, advise client teams, review evidence, and guide implementation while agents handle suitable repeatable work. Pro guidance covers existing pages and evidence-backed content gaps; full GEO and AEO content strategy belongs to managed Agency and Enterprise scope.

CiteSurge connects findings to accountable owners and implementation work. Teams can use a live dashboard, branded reports, REST API, and MCP server subject to plan and permissions. Signed audit-completion webhooks are pre-release, developer-gated, completion-only, and not self-service. Scores summarize declared evidence, while decisions and later observations remain reviewable.

CiteSurge does not receive a perfect score. Guided onboarding adds friction, and its eight supported AI systems are fewer than the largest discovery indexes. The #1 result comes from evidence integrity, entity intelligence, implementation ownership, and governed remeasurement, not the widest count or lowest price.

Vendor metric boundary. CiteSurge defines Presence, Mention Share of Voice, and Citation Share of Voice as unweighted closed-roster shares over available observations in the declared question panel, with separate eligible denominators for each measure. This is CiteSurge's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: The closest enterprise alternative, with exceptional platform breadth and prompt discovery; public documentation is less specific about entity disambiguation and evidence-failure controls than CiteSurge's standard.

Best for

Large brands that prioritize broad consumer-answer coverage, real-prompt discovery, crawler analytics, and enterprise controls

Availability

Self-serve entry with a free start advertised on the Growth tier, plus tailored enterprise plans

Pricing orientation

Public entry has been advertised from $99 per month, which covers ChatGPT only; the $399 Growth tier covers three engines and enterprise terms are tailored

Profound is the strongest pure-platform challenger in this review. Answer Engine Insights tracks visibility, Profound's documented share-of-voice metric, citations, sentiment, positioning, and regions across a broad list of consumer answer experiences. Profound says it captures front-end experiences rather than relying only on model APIs, runs tracked prompts daily, and retains the answer data needed for analysis. Its current public list reaches beyond CiteSurge's eight surfaces to include products such as Amazon Rufus, Meta AI, and DeepSeek.

Prompt Volumes is a meaningful differentiator. Profound describes a dataset of real, consented user conversations that helps teams move beyond prompts invented in a workshop. That supports demand discovery and prioritization at a scale most point trackers cannot match. Answer Engine Insights also supports custom prompts, topics, tags, regions, personas, citation analysis, accuracy review, and CSV export, which makes the measurement layer credible for mature analytics teams.

The platform extends below and beyond prompt monitoring. Agent Analytics uses CDN or server-layer data to classify AI crawler activity and AI-referred traffic. Profound also documents integrations with analytics and CDN providers, API access, enterprise security controls, SSO, role-based access, SOC 2 Type II compliance, and backups. For a large organization that needs a broad data product with recognizable procurement controls, this is a substantial package.

Profound increasingly addresses the insight-to-action gap through Agents, content optimization, campaign execution, FAQs, trend monitoring, PR, and reporting. That earns strong implementation credit. The public evidence still describes a platform-led execution model rather than the same combined audit, owned implementation program, GitHub delivery, and evidence-linked remeasurement record CiteSurge publishes. Buyers should test the exact review, approval, publishing, and causation boundaries for their workflow.

The main scoring gap is evidence integrity at the ambiguous-entity and collection-failure layer. Profound documents accuracy features and browser-based capture, but its public pages reviewed here do not describe comparable ambiguous-entity resolution, response-integrity controls, or collection-failure states. That does not mean those controls are absent. It means the public evidence does not support equal credit under this rubric.

Choose Profound when consumer prompt discovery, very broad answer-engine coverage, agent and crawler analytics, and enterprise adoption are the leading requirements. Choose CiteSurge when the buying decision depends more heavily on inspectable evidence boundaries, ambiguous entity resolution, a managed implementation record, and delivery integrations that keep action and remeasurement together. Both deserve a serious enterprise evaluation; the difference is operating emphasis, not whether Profound is capable.

Vendor metric boundary. Profound defines its metric as responses mentioning the brand divided by total brand mentions across all measured responses. This is Profound's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: A broad enterprise platform with an ambitious closed loop and standout commerce capabilities; public integrity mechanics and commercial detail remain less transparent.

Best for

Global brands needing research, monitoring, content action, attribution, crawler experience, and commerce visibility

Availability

Self-serve Explorer plan with a seven-day free trial; Pro and Enterprise are demo-led

Pricing orientation

Explorer at $399 per month with self-serve signup and a seven-day trial at verification time; Pro and Enterprise are quoted after a demo

Goodie presents one of the broadest enterprise narratives in this market. Its platform joins prompt research, visibility monitoring, optimization actions, content production, agent experience, analytics and attribution, and an agentic-commerce suite. The named monitoring coverage includes ChatGPT, Claude, Perplexity, Gemini, Copilot, Grok, and Meta AI, while commerce material adds ChatGPT Shopping, Google AI Mode Shopping, Amazon Rufus, and Perplexity Shopping.

The monitoring layer reports mentions, citations, ranking position, sentiment, Goodie's published share-of-voice label, cited domains, competitors, geography, persona, language, topic, and historical movement. Goodie says data is tracked daily. This gives enterprise marketing teams a broad view of brand representation and source influence, with enough segmentation to diagnose whether a problem belongs to a specific market, model, audience, or topic.

Goodie's action layer is substantial. Optimization Actions produces prioritized recommendations; Content Studio and the AEO Writer create material in the brand voice; the Agent Experience Suite examines crawler interaction; and the main product promises a research, monitor, action, and measure loop. The commerce suite goes further by tracking individual products and enabling feed enrichment, copy, FAQs, schema, image improvements, and publishing or deployment from the platform.

Attribution is another differentiator. Public pages describe connections from AI visibility to traffic, assisted carts, checkouts, revenue, match-back, and incrementality reporting. Those are vendor claims that require validation during procurement, but they show a product designed around business outcomes rather than only response counts. Multi-market and enterprise-scale positioning, SOC 2 claims, and MCP and integrations strengthen the governance story.

The public evidence is less specific at the integrity layer. The reviewed pages do not describe how ambiguous short brand names are adjudicated, how provider response changes are detected, how citation-format parsing is validated, or how collection failures appear in reporting. Those omissions reduce reproducibility even though Goodie's breadth is impressive.

Vendor metric boundary. Goodie describes the metric as relative mention frequency against tracked direct and indirect competitors; the reviewed first-party page does not publish a full denominator formula. This is Goodie's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: A technically ambitious platform with strong crawler and delivery capabilities; staged availability and the AXP content model deserve careful governance review.

Best for

Enterprise teams that want monitoring, site and crawler intelligence, optimization, and AI-agent content delivery

Availability

Self-serve Core plan with a seven-day free trial; Enterprise is demo-led, and some product features have documented staged rollouts

Pricing orientation

Core at $250 per month at verification time, with a seven-day free trial; Enterprise is custom

Sitecore announced its acquisition of Scrunch AI on 3 June 2026 and has not disclosed terms. Sitecore says the product is still sold standalone while its capabilities are integrated into Sitecore workflows, and scrunch.com carries no Sitecore branding. Treat roadmap, packaging, and support as questions for Sitecore.

Scrunch AI combines monitoring, auditing, optimization, and content delivery through its Agent Experience Platform. Monitoring covers brand presence, position, sentiment, citations, competitors, prompts, topics, personas, funnel stage, country, and sources. Engine coverage is gated by plan: Core covers four, ChatGPT, Perplexity, Google AI Overviews, and Copilot, while Enterprise covers nine, adding Claude, Gemini, Meta AI, Google AI Mode, and Grok. Core also caps unique prompts at 125, countries at one, personas at three, and competitors at five. Its help center documents flexible model-level prompt controls, an Enterprise Data API, and expanded support for Google AI Overviews and Claude.

Site Maps brings together site structure, AI-agent traffic, citations, AI referrals, and audit scores for each page. That is a useful operational view because it connects answer evidence with whether bots can discover and consume the underlying site. The feature was still rolling out across organizations in the reviewed documentation, so availability receives proportionate rather than full credit.

Scrunch's optimization story is strong. Content Gaps identifies missing coverage and prioritizes opportunities. Technical audits identify access and quality barriers. Its public FAQ says the platform can update content and deliver optimized material through AXP. Enterprise teams can use filters, API data, monitoring, insights, and site-level views to move from a broad visibility trend to a particular page or source problem.

AXP is the most distinctive and controversial part of the product. Scrunch describes an edge middleware layer that detects AI agents and serves a parallel, structured, LLM-optimized representation while human visitors continue to receive the normal site. Scrunch argues that this is beneficial and not deceptive cloaking. Buyers should still involve search, legal, brand, accessibility, and web governance teams before adopting any dual-delivery model, and should verify exact parity, canonicalization, cache behavior, and crawler treatment.

Public documentation does not describe ambiguous-entity resolution, response-integrity controls, or collection-failure handling at the depth needed for a top integrity score. The platform's technical crawler and page evidence are valuable, but they answer a different part of the integrity problem. Sales-led pricing and staged feature access also make independent evaluation harder.

Verdict: The best accessible all-rounder in this review, with unusually strong API, MCP, team, and audit capabilities for a self-serve product.

Best for

Teams wanting accessible daily monitoring, GEO audits, API and MCP access, and broad workspace collaboration

Availability

Seven-day free trial and self-serve plans

Pricing orientation

Lite $29, Standard $189, and Premium $489 per month at verification time, with enterprise from $1,000 and a 15 percent annual discount; Claude, Google AI Mode, and Gemini are priced as separate add-ons

Otterly.AI has matured beyond a low-cost mention tracker. Its help documentation describes daily automated monitoring across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Claude, and Microsoft Copilot, though the public pricing page includes only four of those in its named plans and sells Claude, Google AI Mode, and Gemini as add-ons. Teams define prompts, attach a brand report and competitors, choose country context, and inspect whether the brand was mentioned, whether its domain was cited, and how the result compares with competitors.

The workflow begins with prompt research and continues through brand reports, content gaps, and a GEO audit. The audit checks whether AI engines can crawl and read a site and produces a list of improvements. That supports stronger implementation credit than monitoring-only tools, although the public workflow still places most execution with the customer or its agency rather than a managed delivery program.

Otterly's data-access story is a notable strength. Its public API can return brand mentions, citations, prompt results, Otterly's documented share-of-voice metric, sentiment, and coverage, and can trigger supported GEO audits with write permission. The documented MCP server uses OAuth and can expose current Otterly data and recommendations to compatible AI clients. Looker Studio, exports, workspaces, unlimited team members during trial, and admin, member, and viewer roles make the product practical for collaborative reporting.

The self-serve trial is generous enough to evaluate the product on a real prompt set: Otterly documents 50 prompts, API and MCP calls, GEO audit URLs, unlimited workspaces, and unlimited members during seven days. This earns full accessibility credit. Public documentation is also detailed, current, and easy to inspect, which lowers procurement ambiguity for smaller teams.

The integrity ceiling is lower than CiteSurge's because the reviewed documentation does not describe comparable ambiguous-entity resolution, response-integrity controls, or a state that distinguishes collection failure from a genuine no-citation response. Otterly may have internal protections, but the rubric awards what buyers can verify publicly.

Vendor metric boundary. Otterly defines its metric as binary brand mentions divided by total mentions across all tracked brands. This is Otterly.AI's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: The safest suite choice for existing Semrush users, with excellent reporting and prompt research but less ownership of complex entity evidence and implementation.

Best for

Existing Semrush teams that want AI visibility beside SEO, competitor, prompt, audit, and reporting workflows

Availability

Self-serve plans, add-ons, and enterprise; Semrush's own pages differ on free access, with the knowledge base documenting a free plan at zero cost and the pricing page offering a seven-day free trial instead

Pricing orientation

$99 per month per domain billed annually for the public Base plan at verification time

Adobe completed its acquisition of Semrush on 28 April 2026, and Semrush states there are no immediate changes to services, agreements, or points of contact. Treat packaging and roadmap continuity as an Adobe question.

Semrush has developed a substantial AI Visibility Toolkit rather than a single bolt-on chart. The public Base plan monitors mentions from ChatGPT, Google AI, Gemini, and Perplexity, tracks 25 custom prompts daily, analyzes one domain for Brand Performance, and includes competitor analysis, prompt research, and an AI-readiness site audit. Enterprise material advertises fuller model coverage including Grok and Claude.

Visibility Overview provides a benchmark score, trends, mention audits, model and country breakdowns, topic opportunities, cited pages, and citations. Brand Performance adds Semrush's documented share-of-voice metric and sentiment based on domain, location, and generated prompt sets, while Competitor Research compares up to four rivals. Prompt Research draws on Semrush's prompt database and topic-volume estimates to identify demand and gaps.

Reporting is a clear advantage. Semrush documents PDF and CSV exports, scheduled reports, shareable dashboards, editable report templates, and integration with My Reports. Semrush's knowledge base still documents a free plan exposing high-level mentions, citations, visibility, and a hundred-page AI-readiness audit, while its AI pricing page now leads with a seven-day free trial rather than a free plan, so confirm which applies before relying on free access. Paid add-ons extend scheduling, external integrations, branding, white labeling, and AI-generated summaries. Existing customers gain a familiar procurement and data environment.

The implementation layer includes site-audit guidance, topic and source opportunities, content products, and enterprise consulting or workflows. It is still more modular than CiteSurge's owned evidence-to-implementation program. A team may need separate toolkits, internal specialists, or an agency to turn the analysis into coordinated content, brand, source, engineering, and governance work and then preserve the delivery record.

Semrush's public pages explain many metrics but do not document how short or ambiguous entities are resolved, how response-format changes are detected, or how parser failure is separated from true absence. Some coverage and integrations depend on the exact toolkit, add-on, or enterprise package. Those are commercial and integrity boundaries to verify, not evidence that the features do not exist.

Vendor metric boundary. Semrush says Brand Performance uses brand mention frequency and prominence; Enterprise AIO can also apply ChatGPT topic search volume. This is Semrush AI Visibility Toolkit's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: A broad action-oriented product with public entry pricing, but its public marketing claims require careful verification and its evidence-integrity mechanics are not deeply documented.

Best for

Marketing teams wanting broad model monitoring, recommendations, content assistance, and a relatively accessible enterprise-style command center

Availability

Free entry credit and a public Starter plan, with enterprise sales

Pricing orientation

Free Essential credit; Starter listed at $295 per month at verification time

AthenaHQ positions itself as an AI-search command center that combines cross-platform visibility, competitive intelligence, factual claim-checking, recommendations, and content action. The public Starter plan lists visibility across nine models, API access, integrations, CSV export, on-page and off-page actions, a content optimization agent, and self-learning content improvement. Its own interfaces give two different counts: nine models appear in the filter enumeration and on the plans page, while eight appear in the scheduling enumeration, because DeepSeek can be filtered but not scheduled. The free Essential entry covers five named surfaces and includes prompt and response analysis, source and competitor insights, recommendations, and an Athena agent.

Its product story spans several buyer roles. GEO managers receive workflow management, model tracking, recommendation, citation-source, and link-building functions. Executives receive ROI and competitive reporting. SEO and content teams receive content-gap analysis, templates, and citation optimization. PR teams receive mention alerts, sentiment, press-kit support, and crisis detection. Multi-brand, multi-location, and industry use cases broaden the enterprise fit.

The platform also publishes an extensive research library and a state-of-AI-search report. That report advocates targeted prompt strategy, open and structured content, intent matching, on-page and off-page work, authority signals, and continuous monitoring. Those principles align with a responsible GEO program and give buyers more context than a feature page alone.

The caution is evidence quality in the marketing layer. AthenaHQ's public resource index includes aggressive comparative and outcome headlines, future-dated shopping articles, and claims such as model accuracy or visibility gains that should not be treated as independent validation. Our score relies on current product and plan descriptions, not Athena's claims that it outperforms named competitors. Buyers should request the underlying measurement design for any outcome claim.

AthenaHQ writes into the customer's content stack. Its Webflow integration requires a token with CMS read and write permission, WordPress supports publishing, Shopify catalog optimization publishes product titles, descriptions, metadata, and FAQs on Agency and Enterprise, and Athena hosts shopping pages itself. Two limits belong beside that: its citation-likelihood scoring predicts rather than publishes, and its outreach feature drafts emails without sending them.

The reviewed public pages do not explain how entity aliases, collisions, uncertain matches, response-shape drift, or collection failures are handled. For ambiguous brands AthenaHQ documents a manual identifier list with text keywords, domain wildcards, a match-case toggle, and AI-suggested identifiers a person accepts or dismisses. Its Oracle feature checks factual claims against knowledge-base pillars, which is a different problem from resolving which entity an answer refers to. AthenaHQ also publishes no controlled-experiment verification: its own research post calls the relationship a correlation rather than proof of causation and lists controlled experiments as future work.

Vendor metric boundary. AthenaHQ's API reference defines relative mention rate as an entry's mentions as a percentage of responses that mention at least one tracked brand. Its headline share-of-voice value is reported alongside that field, and no AthenaHQ value should be compared with another product's. This is AthenaHQ's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: A credible monitor-to-action product with clear agency packaging; its self-ranking article is marketing, not proof of category leadership, and plan-level model breadth is narrower than its headline coverage.

Best for

Brands and agencies wanting monitoring, an action center, agentic content help, unlimited workspaces, and straightforward public packages

Availability

Seven-day free trial on Explorer and Core, with brand, agency, and enterprise plans; enterprise starts with a demo

Pricing orientation

Explorer EUR 99, Core EUR 399, and Agency Starter EUR 499 per month at verification time; enterprise custom

Kime tracks visibility, sentiment, keyword associations, citations, competitors, and prompt performance across major AI-search products. Its public plans track two AI engines on Explorer and three on Core and Agency Starter, while enterprise plans choose from all available engines. Kime's integrations page lists ten: Google AI Mode, Google AI Overviews, ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, Meta AI, and Microsoft Copilot. Kime's own ranking article states nine, so confirm the current roster with the vendor.

The Action Centre is Kime's main differentiator. It generates prioritized tasks intended to explain what to improve and why. Public pricing says all plans include the full intelligence and AI Perception suite plus a monthly allowance of agentic executions, from ten a month on Explorer to thirty on Core and forty to one hundred on enterprise. Prompt suggestions, location targeting, volume estimates, competitor selection, languages, countries, and citation analytics support the path from measurement to a content decision.

Agency packaging is thoughtful. Agency Starter includes shared prompts, unlimited client workspaces, pitch workspaces, support, MCP access, analytics, and AI Perception. The agency product also describes view-only client access, team task assignment, live dashboards, and no user limits. That can reduce the overhead of turning a visibility product into a client service.

Kime's own best-tools guide ranks Kime first and carries a named byline from Vasilij Brandt. The page is useful as a product and market source, but it is not independent proof: Kime authored the rubric, selected the comparison set, and benefits from the result. CiteSurge follows the same necessary authorship and disclosure standard here. A self-authored ranking becomes credible only when the scoring, sources, definitions, limitations, and correction route are visible and reproducible.

The public documentation reviewed does not explain entity collisions, alias arbitration, response-format drift, collection failures, or an inspectable evidence chain at CiteSurge's depth. Headline engine access is also two chosen engines on Explorer and three on Core, rather than the full published roster. MCP and API access are listed on every published plan, with advanced API access reserved for enterprise; buyers should confirm exact data-access rights for their plan.

Verdict: A polished monitoring product with strong commercial clarity and enterprise options; it relies more on the buyer for implementation and does not publicly document deep entity controls.

Best for

Marketing teams and agencies that want clean daily monitoring, flexible model selection, multi-country projects, and public pricing

Availability

Self-serve trial, public brand and agency plans, and enterprise

Pricing orientation

Starter EUR 85, Pro EUR 205, Advanced EUR 425 per month at verification time, or EUR 70, EUR 180, and EUR 360 billed annually; enterprise custom

Peec AI is a focused AI search analytics platform rather than a content generator or general search suite. Public pricing starts with 50 prompts across three selected models and scales through 150 and 350 prompt tiers. Enterprise customers can choose from all models, use daily or weekly tracking, create unlimited projects, and access custom prompt setup, API, SSO, and broader model coverage.

The supported model list includes ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini, with up to eleven models advertised for enterprise. Peec separates prompts, models, projects, countries, and answer volumes so buyers can understand how usage maps to cost. Multi-country support, unlimited users, sub-brand handling, project allocation, and agency bundles make it practical for portfolio teams.

Measurement focuses on visibility, brand performance, citations, competitors, and prompt-level answers. The platform's official AI instruction page documents brand and agency pricing, model selection, tracking frequency, Looker Studio, API, MCP, SSO, and an AI-shopping feature that can inspect product recommendation, position, price accuracy, and competitor products. Buyers should confirm current availability because instruction pages can summarize rapidly changing product packaging.

Peec scores well for transparent access and governance. Its public prices and quotas are unusually legible, and enterprise SSO, API, MCP, projects, support, and model choice address common procurement requirements. The platform is designed to make analytics understandable rather than overwhelm teams with infrastructure details.

Two controls deserve credit a feature list would miss. A campaign tracker compares the standing prompt set before and after a customer-supplied launch date, and ambiguous brand names are handled by customer-authored regular expressions with a case-sensitivity option, documented for dictionary words that appear in non-brand contexts. Both are customer-authored rather than resolver-side, but they are documented and usable.

The tradeoff is the action layer, which Peec states plainly: the product does not write or publish content itself, and its own comparison table records content generation as not offered by design. Its public product also does not describe a managed audit-to-implementation program, GitHub delivery, a unified action record, resolver-side entity arbitration, response-integrity controls, or collection-failure states.

Verdict: The strongest publicly accessible agent-readiness option in this review, with direct edge context and credible AEO measurement direction; it remains narrower than a full per-brand GEO operating program.

Best for

Site owners who want a strong publicly accessible technical readiness check plus Cloudflare-native crawler and referral context

Availability

Publicly accessible Agent Readiness scanner; Attribution Business Insights is available to Cloudflare Bot Management customers and the AEO Visibility Dashboard is early access by request

Pricing orientation

Agent Readiness is publicly accessible with no documented account requirement and no published price; the AEO Visibility Dashboard is in early access by request and no pricing was documented at verification time

Cloudflare's publicly accessible Agent Readiness scanner is a strong technical check. It reviews machine-access and discovery controls, records request and response evidence, and turns observed gaps into guidance. Cloudflare's April 2026 research published four scored dimensions and ran the agentic-commerce checks unscored beside them. The live scanner now scores five categories, having renamed Capabilities to Protocol Discovery and brought Commerce into the score.

Cloudflare can also observe AI crawler requests and per-operator referral traffic for sites using its network. In August 2026 it announced an AEO Suite whose Visibility Dashboard names Citation Rate, Prominence, Mention Rate, and AI Operator Activity, with covered assistants documented as Anthropic's Claude and OpenAI's GPT. Buyers should verify the current AI platform coverage, question controls, cadence, entity handling, and account availability because the public material does not define them at mature GEO-platform depth.

Readiness is not managed implementation or answer selection. Site owners still own changes and later verification, and the richest edge evidence depends on Cloudflare context. Choose Cloudflare for an agent-access check at no documented cost, or for Cloudflare-native AI traffic governance. Choose a broader GEO program for per-brand questions, recurring answer evidence, entity controls, accountable implementation, and governed remeasurement.

Verdict: A capable CMS-native AEO option for eligible Webflow estates, but not a standalone cross-stack GEO system or a substitute for a human-led enterprise program.

Best for

Enterprise Webflow customers that want native prompt analytics, bot and conversion data, prioritized fixes, and in-CMS execution

Availability

Available for eligible Team or Enterprise Webflow customers; analytics requires the relevant Analyze add-on, though Webflow's marketing feature page states availability for Enterprise only while its help center documents Team or Enterprise Platform plans

Pricing orientation

Bundled or add-on enterprise packaging; not offered as a standalone AEO product

Webflow AEO changed materially in 2026 and should not be described as ChatGPT-only or as a future beta. Current documentation says Prompt insights runs configured prompts through ChatGPT, Claude, Gemini, and Perplexity. AEO analytics also combines prompt visibility, citations, LLM bot activity, AI-referred visitor behavior, engagement, and conversions inside Webflow Analyze. The product is available now to eligible enterprise customers.

The native operating loop is measure, recommend, and act. Technical agents scan the site and prioritize recommendations for metadata, schema, alt text, and broken links, grouped into quick wins and further opportunities and categorized by themes such as discoverability and accessibility. Content optimization agents separately identify citation gaps against tracked competitors. Users review, edit, accept, or dismiss changes, and accepted updates write to Webflow page settings, CMS items, or assets before the next site publish. This is a useful implementation control inside Webflow, not human strategic or delivery ownership.

Webflow's main advantage is proximity to its own CMS. The platform can scan at scale, ground suggestions in site and brand context, and apply accepted technical changes across a Webflow content footprint. Prompt and bot analytics can then show later visibility and discovery behavior. That advantage ends at the Webflow boundary and does not provide CiteSurge's cross-stack delivery, human review, external-source program, API, or MCP operating layer.

The scope is deliberately bounded. Webflow AEO is not offered as a standalone product and requires a Webflow Team or Enterprise platform context, with Analyze and AI settings for some capabilities. Its prompt layer currently names four models, fewer than dedicated cross-engine tools. Content optimization agents became generally available on 28 July 2026 and now produce a topic recommendation, a generated brief, and a draft CMS item, though that capability needs an Enterprise plan with the Analyze add-on.

The reviewed documentation does not describe ambiguous entity resolution, cross-provider citation normalization, response-shape drift, or a parser-failure state. Bot and visitor analytics are valuable, but they do not replace entity-level evidence adjudication. Buyers should also model AI-credit consumption for agents and verify which site, workspace, and Analyze entitlements their contract includes.

Consider Webflow AEO when the website is already on Webflow and the narrow goal is to find and ship technical readiness improvements without leaving that CMS. Choose CiteSurge when the organization needs evidence across eight supported AI systems, broader source evidence, entity intelligence, agents plus human delivery, GitHub and cross-stack integration work, API, MCP, and governed remeasurement not tied to one CMS.

Verdict: One of the strongest execution products in the category, especially for content operations, but less publicly specific about entity and collection-integrity controls.

Best for

Content and growth teams that need to turn AI visibility gaps into production content workflows at scale

Availability

Free Insights tier, self-serve Solo and Pro signup, and a fourteen-day trial, alongside custom-priced Pages and Enterprise

Pricing orientation

Insights starts at $0 per month; Solo and Pro are self-serve with no published price; Pages and Enterprise are custom

AirOps combines AI-search visibility with a mature content-execution layer. Its visibility documentation covers mention rate, AirOps' documented share-of-voice metric, average position, topics, platforms, regions, personas, competitors, and history. Its enterprise page describes live queries across ChatGPT, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Claude, and Copilot, while its documentation lists six tracked engines and enables Claude by default only for Enterprise workspaces. Its Solo plan card is labeled ChatGPT insights only. Buyers should confirm the exact engine set and cadence in their package.

Execution is the main reason AirOps scores highly. The platform connects gaps to content strategy, refreshes, programmatic production, and publishing workflows, with enterprise support and outcome reporting. That is a stronger operational bridge than a recommendation-only dashboard. AirOps also publishes substantial AI-search research and openly describes the role of Reddit, YouTube, third-party authority, content freshness, and structure in its model of visibility.

Vendor metric boundary. AirOps defines its metric as answers mentioning the brand divided by answers mentioning the brand or configured competitors. This is AirOps's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: The broadest published engine list in this registry and its most open European entry point, with no published method behind the measurement.

Best for

European teams that want the widest published engine list, AI crawler analytics, and content briefs in one self-serve product

Availability

Free plan with no card required, self-serve paid tiers, and demo-led Enterprise; Qwairy SAS, France, with stated EU data hosting and GDPR alignment

Pricing orientation

Starter EUR 65, Growth EUR 165, and Business EUR 374 per month at verification time, discounted on annual billing, plus a free plan carrying 120 credits; Enterprise is quoted after a demo

Qwairy's platform page is headed "The Complete GEO Platform" and names ten systems: ChatGPT, Claude, Perplexity, Gemini, Copilot, Grok, Google AI Overview, Google AI Mode, Mistral, and DeepSeek, several of them through both API and interface routes. It reports mention rate, citation rate, share of voice, question coverage, and sentiment, and adds crawler analytics over fifteen or more AI crawlers, which is a distinct signal most vendors here do not publish. Coverage extends to a stated 240 or more countries and 45 or more languages, and prompt allowances rise from 100 on Starter to 800 on Business.

The delivery surface is unusually complete for a self-serve product: a REST API from the Growth tier, an MCP server, CSV and JSON export, SSO and white-label on Enterprise, multi-client account management, and integrations spanning Search Console, Bing Webmaster Tools, GA4, Looker Studio, Slack, WordPress, Vercel, Netlify, and Cloudflare. A Content Studio generates briefs and the product runs site readiness audits. What the sources reviewed here do not describe is method: how observations are collected, how brand ambiguity is resolved, whether raw answers and citations are retained for inspection, or how a failed observation is told apart from a genuine absence.

Vendor metric boundary. Qwairy publishes share of voice as brand performance against competitors across the systems it monitors, and publishes no formula, weighting, or denominator, so its values are not comparable with CiteSurge's closed-roster measures. This is Qwairy's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: A well-rounded, accessible platform that connects monitoring, crawler evidence, and weekly actions more clearly than many dashboard-first tools.

Best for

Brands and agencies wanting broad monitoring, crawler visibility, actionable playbooks, MCP-style workflows, and public packaging

Availability

Fourteen-day self-serve trial with brand and agency plans

Pricing orientation

Public plans advertised at $100 Growth and $500 Scale per month at verification time, with an Enterprise tier from a higher figure and a fourteen-day trial; the site offers a currency switcher but states that prices are in USD and plans are billed in USD, so local figures are a display conversion

Trakkr combines visibility, citations, brand perception, competitors, and prioritized weekly actions across eight advertised AI models. Its public product presents the workflow as understand, improve, and report rather than stopping at a score. The action layer can recommend tasks such as schema fixes, crawler-policy changes, content work, or authority outreach, with step-by-step playbooks intended to make the next move clear.

The crawler documentation is unusually practical. It distinguishes training, indexing, live-conversation, and agent traffic; checks robots and JavaScript visibility; and follows crawl, citation, and click context. Agency packaging adds multi-brand support, client seats, API and Looker Studio access, and optional white-label portals. Public trial access and pricing improve buyer accessibility. The public material does not document entity arbitration or response-shape controls in comparable detail, so integrity stops below CiteSurge despite a strong operational package.

Trakkr documents a structured verification step, which is rare here. Its Results feature freezes the measurement plan when work starts, requires the work to be linked to a page with a completion date, and applies standard windows from fourteen days for a technical fix to seventy for a campaign. That is a published before-and-after method, not a general promise to remeasure.

Verdict: The discovery leader: unmatched scale and strong reporting, but it is less complete for implementation and evidence review.

Best for

SEO and market-intelligence teams that need huge prompt discovery, instant historical exploration, and source-channel context

Availability

Standalone index access and custom prompts; some emerging-channel indexes are beta

Pricing orientation

$199 per month per single platform index or $699 for all platforms at verification time; the all-platform tier includes 2,500 custom prompt checks per month and further checks are purchased separately

Ahrefs Brand Radar's help center puts its index at more than 405 million search-backed prompts across AI platforms and connects them with search demand, web visibility, YouTube, Reddit, and TikTok context. It covers Google AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Grok, and custom Claude prompts, with broad historical data and no setup delay for the main index. Ahrefs' help center states that Grok collection is temporarily paused following Grok policy changes, and that Claude is available for custom prompts only. Mentions, citations, impressions, and Ahrefs' impression-weighted AI share-of-voice metric can be filtered across brands, products, regions, people, topics, pages, and sources.

Ahrefs is transparent about collection frequency and methodology. The large chatbot index is generally monthly, while custom prompts can run as frequently as daily. API, Report Builder, Looker Studio, exports, and unlimited-domain research support enterprise analysis. YouTube, Reddit, and TikTok indexes broaden discovery, although beta status and search-derived methodology must be understood when interpreting community visibility.

Vendor metric boundary. Ahrefs defines its metric as the brand's share of search-volume-derived impressions versus tracked brands, with multi-platform values weighted by impressions. This is Ahrefs Brand Radar's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: A capable agency-oriented option with strong action and reporting surfaces, especially when white-label delivery and integrations matter.

Best for

Agencies and growth teams wanting monitoring, content, audits, integrations, and white-label workflows

Availability

Fourteen-day Pro trial plus self-serve and enterprise paths

Pricing orientation

Published plans at $125 Pro, $400 Scale, and $999 Enterprise per month at verification time, plus a custom tier, with 20 percent off annual billing

Searchable combines AI visibility with a trained agent, technical audits, content generation, and marketing integrations. Its pricing comparison table names nine answer engines selectable during onboarding, ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Copilot, Gemini, Claude, Grok, and DeepSeek, while the prose on the same page describes several of those as custom add-ons and the homepage names only five. Documentation describes multi-platform prompt tracking, mentions, rank, position, sentiment, citations, and Searchable's published share-of-voice label. Daily checks and movement tied to prompt, platform, answer, and source make the monitoring layer useful for diagnosis.

Agency support is a strength: multi-client dashboards, pitch workspaces, view-only access, unlimited countries, seats and sub-brands, API and Looker access, exports, custom branding, and white-label client surfaces are publicly described. GA4, Search Console, HubSpot, and Salesforce integrations support attribution and workflow continuity. The product also creates briefs and content and identifies technical fixes, so it scores well for action.

Vendor metric boundary. Searchable describes the metric as a brand's share of the answer space versus competitors across the same prompts; the reviewed first-party page does not publish a full denominator formula. This is Searchable's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: An unusually broad and accessible tracker with useful audits and opportunity discovery, but a lighter public governance and integrity story.

Best for

Teams prioritizing very broad engine coverage, flexible cadence, prompt research, audits, and self-serve analytics

Availability

Self-serve start, a seven-day free trial on the Pro plan, and a demo path

Pricing orientation

Credit-based public pricing with named plans at $20 Essentials, $99 Pro, $385 Growth, and $780 Enterprise per month at verification time; Rankscale's own facts page quotes an entry tier of EUR 20, so confirm currency and current totals on the live calculator

Rankscale advertises 17 or more AI engines, 240 or more countries, all languages, and scheduling from hourly to monthly. It combines a brand visibility dashboard, rank tracking, competitor analysis, citation and sentiment analysis, page audits, prompt research, and content-opportunity discovery. The broad model list and flexible schedule make it useful for teams that need more than the five or six most common AI systems.

The platform reports visibility, mentions, citations, sentiment, position, Rankscale's published share-of-voice label, trends, and campaign impact. Its page audit advertises more than 90 technical checkpoints, while opportunity tools identify uncovered prompts, citation gaps, missing entities and topics, competitor-owned answers, and low-coverage themes. A public facts page helps entity definition, and credit rollover plus unlimited search-term creation makes the commercial model flexible.

Vendor metric boundary. Rankscale defines Share of Voice as a brand's share of all mentions across tracked prompts, measured against a set of three to five top competitors, and reports it alongside visibility, mentions, citations, and rank. This is Rankscale's published metric, not CiteSurge's closed-roster Competitive Share of Voice definition, and cross-product values are not directly comparable. Metric source · reverified 2026-08-19.

Verdict: A credible incumbent answer to AI visibility for teams already on BrightEdge, narrower in surfaces and less documented in method than the dedicated platforms here.

Best for

Existing BrightEdge customers who want AI answer visibility inside the SEO platform they already run

Availability

Included in all BrightEdge SEO Platform subscriptions rather than sold separately; no trial or self-serve route is documented on the sources reviewed here

Pricing orientation

No public price at verification time; BrightEdge states that AI Catalyst is included in all SEO Platform subscriptions rather than priced separately

BrightEdge positions AI Catalyst as a way to "Expand beyond traditional search strategies by tracking, understanding, and influencing your presence across generative AI search engines." It covers three surfaces by name, Google AI Overviews, ChatGPT, and Perplexity, and reports brand visibility, sentiment, citations, and mentions, with a Copilot that suggests prompts from the site's own search patterns and BrightEdge's historical query data. Its own packaging statement is unambiguous: "AI Catalyst is included in all BrightEdge SEO Platform subscriptions."

The strength is integration rather than depth. Teams already running BrightEdge get AI answer metrics beside traditional search metrics with no separate purchase and no second tool to reconcile, which is a real advantage for an incumbent. The boundaries are that three surfaces is narrow against platforms naming eight to ten, and that the sources reviewed here do not document how the data is collected, whether prompt-level evidence is inspectable, or how an unavailable observation is represented.

Verdict: A practical monitoring extension for the SE Ranking ecosystem, but a narrower weekly analytics product than the leaders in this enterprise operating-model comparison.

Best for

SE Ranking customers and agencies that want straightforward weekly AI visibility, sentiment, competitor, and source reporting

Availability

Standalone product and included access with the SE Ranking AI Search add-on

Pricing orientation

AI Search add-on starts at $89 per month for 200 checks, where a check is one prompt on one AI platform; SE Visible is also sold standalone from $99 per month for 200 prompts, with Core at $189 and Plus at $355, and a ten-day free trial. SE Ranking lists the same add-on at EUR 79 per month in euro locales, so confirm which currency applies

SE Visible reports where a brand is mentioned, how it compares with competitors, the sentiment of mentions, and the prompts shaping answers, alongside source reporting that the product page presents as available while the official FAQ still labels it coming soon. Official help documentation says updates run weekly and describes a strategic overview designed for business owners, agencies, and marketing leaders. The related AI Search add-on supports research across five engines and gives SE Ranking customers access to SE Visible.

Its strongest fit is ecosystem continuity. An existing SE Ranking team can connect AI visibility with keyword, audit, content, backlink, and competitor workflows while keeping procurement and reporting in one vendor. The add-on publishes check-based pricing, which makes a prompt-by-platform cadence possible to model. Competitor, sentiment, answer snapshot, and source views cover the monitoring fundamentals.

Verdict: A good unified rank-tracking choice, but its AI layer is narrower and more monitoring-oriented than dedicated enterprise GEO systems.

Best for

SEO teams that want traditional rank tracking and AI visibility in one familiar reporting environment

Availability

Fourteen-day trial and self-serve plans with AI tracking

Pricing orientation

Published self-serve tiers from EUR 79 per month for 50 AI prompts to EUR 399 per month for 500, with AI prompts bundled into every tier and enterprise priced on request; verify prompt and response allowances before purchase

Nightwatch unifies traditional search rankings across Google, Bing, YouTube, DuckDuckGo, and Yahoo with AI visibility across a model list its own pages state inconsistently: its documentation names ChatGPT, Perplexity, Google AI Mode, and AI Overview, gates Gemini to plans of 300 prompts or more, and never names Claude, while its product pages name ChatGPT, Claude, Gemini, Perplexity, and Microsoft Copilot. Confirm the model list against the intended plan. It emphasizes daily updates, competitor gaps, prompt analysis, citations, and attribution running from Google ranking positions to later AI visibility, which Nightwatch calls Citation Intelligence. Existing rank-tracking depth, localization, raw HTML snapshots for traditional results, and reporting make it attractive to data-oriented SEO teams.

The AI and LLM documentation identifies provider and model context and builds on a platform with mature rank, location, language, keyword, and site-audit capabilities. That can be more efficient than buying a separate point solution when AI visibility is an extension of an established search program. A fourteen-day trial improves evaluation access.