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The selection guideSource-backed research ↗
Ecommerce & AI Shopping / AI visibility & analytics
Authoritas
AI Search and SEO visibility platform for brands, publishers, and ecommerce teams
Commerce discovery
Why it stands out
Structured buyer-journey and factor-based prompt research
Source review: · Public-source research, not a hands-on test
↗ Best for
Ecommerce and consumer brands comparing their visibility across product, category, and purchase-intent questions
! Know before you buy
Public evidence supports product scope and one detailed hands-on review, not causal proof of higher citations, rankings, traffic, or revenue.
01 / Editorial assessment
Is Authoritas for you?
The AICiteKit take
Authoritas is a strong candidate for an organization that wants structured AI-answer research plus legacy SEO data, especially when the questions are commercial and category-specific. The Composer-style workflow is more deliberate than sending a handful of ad-hoc prompts: teams define product categories and decision factors, generate question variants, tag them by persona or journey stage, and then compare responses, mentions, sentiment, and sources. Shortlist Authoritas when AI Search source attribution and buyer-journey analysis matter more than a low, transparent entry price. Pair it with a product-feed, onsite-search, or analytics system for the commerce layer, and run a fixed baseline before changing content or outreach.
A good fit if you are…
- Ecommerce and consumer brands comparing their visibility across product, category, and purchase-intent questions
- SEO or digital teams that want AI Search monitoring alongside established SEO workflows
- Agencies or in-house teams able to budget for recurring prompt credits and a sales conversation
- Organizations that need branded versus unbranded query separation, multilingual or regional analysis, and source-domain discovery
- Teams prepared to test AI visibility against fixed prompts and downstream analytics rather than treating a share-of-voice score as an outcome
Consider another option if…
- A merchant looking only for onsite product search, merchandising, recommendations, or product-feed management
- A small business that needs a simple public price and unlimited seats or prompts
- Buyers who expect an AI Search score to explain or guarantee Google Shopping placement
- Teams without the capacity to define categories, key factors, personas, and a reproducible question set
- Anyone looking for independent evidence that the platform itself increases conversions or revenue
02 / Scope, not promises
Features & coverage
- AI workflow
Build brand/category/factor hierarchies → generate or upload questions → run models → inspect responses, sources, sentiment, and competitors
Archived research · Research dated 2026-09-27; confirm current termsResearch excerpt · Quick facts- Surfaces named by official materials
Google AI Overviews, Bing Copilot, SearchGPT, ChatGPT, Gemini, Claude, Perplexity, DeepSeek, and other model or UI variants; confirm current entitlement
Archived research · Research dated 2026-09-27; confirm current termsResearch excerpt · Quick facts- Primary use case
AI Search visibility, citations, source analysis, sentiment, competitor benchmarking, and traditional SEO
Archived research · Research dated 2026-09-27; confirm current termsResearch excerpt · Quick facts- Pricing
Quote/calculator-led and credit-based; an independent 2026 review reported AI Search from $119/month and SEO from $129/month
Archived research · Research dated 2026-09-27; confirm current termsResearch excerpt · Quick facts- Free offer
Free initial AI Search brand report; official AI Search FAQ also says SEO freemium account includes 1 site and 1,000 keyword rank checks/month; neither proves free recurring AI Search monitoring
Archived research · Research dated 2026-09-27; confirm current termsResearch excerpt · Quick facts- G2-listed pricing
Essential from £99/month; Advanced from £399/month; Expert from $799/month, shown as pricing provided by Authoritas on the live G2 profile
Archived research · Research dated 2026-09-27; confirm current termsResearch excerpt · Quick facts
Composer and question research
The current product and the independent review describe a visual workflow in which a team builds a brand hierarchy, product categories, and key factors. Authoritas can then generate question variants across the customer journey and personas. The independent reviewer reported that the system generated ten questions per key factor in a tested setup and also accepted uploaded questions. This is useful for ecommerce because “best running shoes” and “best running shoes for wet weather under $150” are not equivalent measurement units. Keep the category, factor, geography, language, and purchase intent attached to every prompt.
AI Search responses, mentions, and sentiment
Official materials describe response-level brand visibility, mentions, sentiment, competitor comparison, and trends. The independent review reported that the Responses view exposed full AI answers, brands mentioned, model filters, and category/persona filters. These are more actionable than a single score, provided the underlying prompt and model context remain visible. Treat sentiment as a classification to audit, not an objective truth. Preserve the answer text and review borderline labels manually before using the result in a client report.
Citation and source analysis
The official AI Search page says Authoritas combines model APIs with crawling of AI-search interfaces. Its Sources view is available when the selected model or surface returns usable citations. The independent review found this view useful for identifying domains that AI systems cite when discussing a category. A cited domain is not necessarily a recommended outreach target. Check whether the page is authoritative, current, commercially biased, product-specific, or merely a directory. A source gap is a hypothesis for content or digital PR—not a guaranteed ranking recipe.
Ecommerce and regional analysis
Authoritas markets AI Search analysis for ecommerce buying journeys and supports question sets organized by product categories, buyer personas, locations, and languages. Confirm the current plan’s markets, localization behavior, search-enabled models, and product-level granularity. Public materials do not establish automatic product-feed validation, inventory synchronization, retailer-link attribution, or Google Shopping eligibility. Before buying for retail, ask whether the system can record:
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-09-27 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- Pricing at a glance
Sales-led and credit-based. The independent 2026 hands-on review reported SEO from $129/month and AI Search from $119/month, but buyers should confirm current calculator output and plan terms with Authoritas.
Archived research · Research dated 2026-09-27; confirm current termsResearch excerpt · Overview
- Free access & trial
Free initial AI Search brand report; official AI Search FAQ also says SEO freemium account includes 1 site and 1,000 keyword rank checks/month; neither proves free recurring AI Search monitoring
Archived research · Research dated 2026-09-27; confirm current termsResearch excerpt · Quick facts
Pricing context & qualifications
Authoritas’ public positioning is sales-led rather than a simple self-serve rate card. The current official site advertises a free AI Search brand report and a demo, but a free report is a diagnostic and not proof of a free recurring plan.
The independent Target Internet review was updated for 2026 and reported separate subscriptions: SEO from $129/month and AI Search from $119/month. It also described credit-based usage, with standard model questions costing one prompt credit and search-grounded questions costing two credits on enterprise plans. The live G2 Authoritas profile, checked September 27, 2026, separately displayed Essential from £99/month, Advanced from £399/month, and Expert from $799/month as pricing provided by Authoritas. These are different source presentations and currencies, not one normalized rate card; buyers should confirm which module, currency, credit allowance, and package apply.
Treat those numbers as dated, independent configuration evidence—not current universal list pricing. Request a written quote that states:
- AI Search and SEO modules included
- Prompt credits, model multipliers, and overage handling
- Number of brands, domains, competitors, users, and seats
- Daily/weekly/monthly or hourly refresh availability
- Search-enabled versus non-search model access
- Countries, languages, UI crawling, and API access
- Raw response, citation, CSV/PDF, BI, and retention rights
- Onboarding, support, renewal, cancellation, and price-change terms
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- Structured buyer-journey and factor-based prompt research
- Response-level visibility, sentiment, competitors, and cited-source analysis
- Combines AI Search and traditional SEO workflows
- Useful distinction between branded and unbranded research
- Regional, language, and scheduling concepts are stronger than a one-off manual audit
Reasons to pause
- Public pricing is not simple; actual cost depends on credits, models, cadence, and package
- A free brand report is not a recurring free monitoring plan
- Traditional SEO sections were reported as broken or underdeveloped in the 2026 independent review
- AI model and UI coverage can change; named surface coverage is not a complete entitlement matrix
- Search-grounded citations depend on the selected model and retrieval behavior
Public evidence supports product scope and one detailed hands-on review, not causal proof of higher citations, rankings, traffic, or revenue.
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Profound ↗
Profound · Enterprise AI search intelligence and answer monitoring · More focused on enterprise AI visibility and agent workflows; pricing and access are more sales-led
Peec AI ↗
Peec AI · Self-serve-friendly prompt tracking for marketing teams · Simpler visibility workflow and public plan framing; less traditional SEO breadth
Yext ↗
Yext · Entity governance, listings, and distributed brand data · Operational source-of-truth and publisher distribution rather than a substitute for prompt-level measurement
Scrunch AI ↗
Scrunch AI · AI visibility and brand narrative workflows · Compare engine coverage, raw-answer access, source evidence, and implementation support
06 / What we can substantiate
Reviews & evidence
Independent feedback is limited to the archived sources below. No hands-on test or outcome benchmark was performed as part of this layout migration.
AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.
Sources & original verification dates
| Source | Evidence type | Checked |
|---|---|---|
| Authoritas homepage ↗ | Cited in archived research | See research context |
| Target Internet Authoritas Review, updated 2026 ↗ | Cited in archived research | See research context |
| G2 Authoritas reviews and pricing ↗ | Cited in archived research | See research context |
| Authoritas AI Search product page ↗ | Cited in archived research | See research context |
| Authoritas ecommerce AI visibility page ↗ | Cited in archived research | See research context |
| Target Internet pricing section ↗ | Cited in archived research | See research context |
| Authoritas AI Tracker Comparison ↗ | Cited in archived research | See research context |
Original review evidence & date context
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
Evidence snapshot
| Source | Public signal | What it supports | Confidence |
|---|---|---|---|
| Authoritas AI Search product page | Official page names AI engine coverage, branded/unbranded flows, question builder, sentiment, citations, scheduling, reports, alerts, exports, and BI integrations | Current vendor-stated AI Search scope and workflow | High for stated scope; low for outcomes |
| Authoritas ecommerce AI visibility page | Official ecommerce positioning says teams can understand how brands and product listings appear in AI-powered buying journeys and optimize across major AI search engines | Ecommerce use case and positioning; not proof of product-feed or revenue impact | High for positioning; low for outcomes |
| Authoritas homepage | Current homepage positions Authoritas as a complete AI Search + SEO visibility platform for brands, publishers, and ecommerce | Product identity and platform scope | High for current positioning |
| Target Internet independent review | 2026 hands-on review reports strong AI Search workflows, detailed response/source views, and straightforward onboarding; it also reports broken or weak traditional SEO sections | Directional usability and implementation evidence from an independent test | Medium; one reviewer and one tested account |
| Target Internet pricing section | Independent review reports SEO from $129/month, AI Search from $119/month, separate subscriptions, and credit-based usage; exact calculator output varies by cadence and models | Dated configuration-specific pricing signal and cost drivers | Medium for observed test; not a universal current quote |
| G2 Authoritas reviews and pricing | Live profile showed 4.0/5 from 21 reviews plus Essential from £99/month, Advanced from £399/month, and Expert from $799/month as pricing provided by Authoritas when checked September 27, 2026; the sample is categorized around the broader SEO product | Broader-product user feedback and an additional dated pricing presentation; does not validate the newer AI Search module or reconcile currencies/modules | Medium-low; vendor-managed profile |
| Authoritas AI Search FAQ | FAQ says the SEO platform offers a freemium account with 1 site and 1,000 keyword rank checks/month; the same page offers a free AI Search Brand Analyser trial path | Current boundary between a limited SEO freemium account and AI Search diagnostic access; not proof of recurring free AI Search monitoring | High for stated offer; vendor-controlled |
| Authoritas AI Tracker Comparison | Vendor comparison hub lists Authoritas alongside 100+ AI/LLM monitoring tools and presents competitor positioning | Market context and vendor-authored comparison set | Low for neutral product comparison |
Positive themes
The broader G2 Authoritas listing showed 4.0/5 from 21 reviews on September 27, 2026. Its generated summary and visible review distribution support directional themes around keyword tracking, reporting, and all-in-one SEO use, while also surfacing interface confusion and data overload. Because the listing is categorized around the broader SEO product and the AI Search module is newer, this sample should not be presented as independent validation of AI-answer coverage, citation accuracy, or GEO outcomes.
Check the exact account, module, and credit economics during evaluation. The independent test and G2 sample complement each other: Target Internet provides deeper workflow observation, while G2 provides a larger but broader-product feedback sample. Neither establishes causal visibility lift, traffic, leads, or revenue.
Concerns and tradeoffs
The same review reported broken or nonresponsive traditional SEO areas, including parts of visibility analysis. It also describes an AI Search credit system in which cadence, model type, and question volume affect cost. Buyers should therefore pilot the exact workflow they need instead of assuming that a broad platform label means all modules are equally mature or that one monthly price covers every surface.
How much should buyers trust the evidence?
Trust official pages for current stated scope, named surfaces, and workflow descriptions. Trust the independent review for a dated hands-on account of setup, interface behavior, credit mechanics, and observed weaknesses. Do not treat the vendor’s customer logos, AI Share of Voice, sentiment, or citation claims as independent proof of traffic, conversions, or revenue. The available evidence is medium-confidence for product fit and low-confidence for causal outcomes.
What to verify during a trial or sales evaluation
- Freeze a representative product/category prompt set with branded, unbranded, local, and comparison questions.
- Run the same prompts across the target models and document search-enabled versus non-search behavior.
- Export complete answers, citations, model metadata, timestamps, and prompt versions.
- Reconcile the quote’s credit allowance with the desired refresh cadence and search-grounded multipliers.
- Test ecommerce fields separately: product name, variant, price, availability, retailer, and cited URL.
- Compare AI visibility changes with analytics, product-feed logs, review changes, and content changes before claiming causality.
- Test the traditional SEO modules that matter; the independent review’s reported weaknesses may still affect buying fit.
- Official product and current positioning: Authoritas homepage
- Official AI Search scope: AI Brand Tracking & Visibility
- Official ecommerce positioning: AI Visibility for Retailers
- Independent hands-on review and dated pricing observations: Target Internet Authoritas Review, updated 2026
- Vendor-authored market context: AI Tracker Comparison
- Review-platform feedback and rating/count plus current G2-listed pricing: G2 Authoritas reviews, checked September 27, 2026
This page distinguishes vendor-stated capabilities, one independent hands-on test, and unproven outcome claims. It does not treat AI mentions, citations, sentiment, or visibility scores as guaranteed rankings, traffic, recommendations, conversions, or revenue.
Research notes & unresolved discrepancies
- This page reorganizes previously published research. It is not a fresh price check or a hands-on test. Refer to source-specific dates and qualifications in the research context below.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.