Track AI visibility, competitors, prompts, and citations across answer engines
Clear focus on AI visibility rather than traditional keyword ranking
Source review: · Public-source research, not a hands-on test
SaaS marketing teams tracking category and comparison prompts
Public plan limits are expressed in daily credits, projects, and model coverage; buyers should test how quickly their prompt portfolio consumes credits.
01 / Editorial assessment
AI Search Console has a clear and useful focus: make AI visibility monitoring practical for teams that currently rely on manual checks. Its product areas map closely to the questions a GEO program needs to answer: Are we mentioned? Where do competitors appear? Which sources influence the answer? Is our position improving over time? AI Search Console is a promising focused monitoring product for teams that need prompt-level visibility and source analysis without adopting a broad SEO suite. Treat it as a measurement and diagnosis layer—not as a guarantee of citations, traffic, or conversions.
02 / Scope, not promises
Visibility, mentions, position, sentiment, share of voice, citations
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Quick facts$45/month
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Quick facts$195/month
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Quick factsMonitor brand visibility inside AI answers
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Quick facts$495/month
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Quick factsAdvertised; no card required
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Quick factsAI Search Console tracks how a brand appears across AI answers and presents visibility as a trend rather than a single screenshot. The official site highlights visibility score, mentions, and movement over time. A useful baseline should include several prompt types: A visibility score is most useful for comparing the same prompt set over time. It should not be treated as a universal ranking across unrelated prompts or models.
Prompt analytics helps teams see which queries are active, which topics are covered, and where the brand appears or disappears. The product’s examples include buyer prompts for SaaS teams, enterprise alternatives, and competitor comparisons. Prompt design matters more than prompt volume. A smaller set of high-intent questions can be more useful than hundreds of generic queries. Teams should tag prompts by: The daily credit allowance should be checked against the number of tracked prompts and models.
The Competitors Overview compares brands by visibility, sentiment, share of voice, and position inside AI answers. This helps answer whether a decline is specific to your brand or reflects a broader change in the category. Useful competitor questions include: Competitor rankings are model- and prompt-dependent. They should be used to find gaps, not to declare a permanent market ranking.
Sources Analyse identifies the domains, URLs, and source types that AI models reference. The official product page shows source mixes such as Reddit threads, review sites, comparison pages, official documentation, and owned content. This is one of the most actionable parts of the product. A citation gap can point to different kinds of work: A cited domain is not automatically an appropriate outreach target. Teams should assess editorial fit, audience value, independence, and disclosure requirements.
AI answer history lets teams review exact responses with model, citations, brand mentions, prompt context, and answer details. History is important because an aggregate score can hide why a brand moved. When investigating a change, compare: Answer history also creates an evidence trail for client reporting, but snapshots should be treated as observations rather than permanent facts.
03 / Commercial boundaries
Terms below reflect the 2026-10-05 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
Public plans start at $45/month, with a free trial advertised and no card required.
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · OverviewPrice: $45/month · Daily credits: 60 · Projects: 1 · Best for: Individuals and small teams
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Plans and pricingPrice: $195/month · Daily credits: 360 · Projects: 2 · Best for: Teams serious about AI visibility
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Plans and pricingPrice: $495/month · Daily credits: 960 · Projects: 5 · Best for: Agencies and larger programs
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Plans and pricingAdvertised; no card required
Archived research · Research dated 2026-08-04; confirm current termsResearch excerpt · Quick factsPrices below reflect the public AI Search Console website checked on October 5, 2026.
| Plan | Price | Daily credits | Projects | Best for |
|---|---|---|---|---|
| Starter | $45/month | 60 | 1 | Individuals and small teams |
| Pro | $195/month | 360 | 2 | Teams serious about AI visibility |
| Business | $495/month | 960 | 5 | Agencies and larger programs |
All three public tiers display ChatGPT, Gemini, Claude, and Perplexity model icons. The site advertises a free trial without requiring a card. The public page does not describe every credit-consumption rule, refresh frequency, user-seat limit, or enterprise add-on, so those should be confirmed before purchase.
Estimate monthly usage using:
tracked prompts × selected models × refresh cycles × projectsThen leave capacity for prompt discovery, rechecks, client reports, and experiments. A plan that works for one brand may become restrictive when an agency adds multiple clients or when every prompt is tracked across four models.
04 / The tradeoffs
Public plan limits are expressed in daily credits, projects, and model coverage; buyers should test how quickly their prompt portfolio consumes credits.
05 / Choose by the job
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Choose AI Search Console for a lower public entry price, prompt/source history, and client-ready reports. Choose Peec AI for a more mature analytics positioning with visibility, position, sentiment, and MCP/API workflows described across its plans.
Choose AI Search Console for source mix, answer history, and a compact monitoring workflow. Choose Otterly.AI for a more established GEO audit and recurring report workflow with broader content-audit framing.
Choose AI Search Console for a smaller-team entry point and straightforward prompt/citation monitoring. Choose Profound for enterprise answer-engine intelligence, prompt-volume research, crawler analytics, agents, and advanced governance.
Choose AI Search Console when measurement and diagnosis are the priority. Choose Writesonic GEO Suite when the same platform should also generate content, run site audits, and execute agentic workflows.
06 / What we can substantiate
The official website and application pages are the strongest evidence for AI Search Console’s features, pricing, credits, and reporting workflow. Product Hunt provides an independent launch-directory record with 691 followers and a maker-authored description, but its page states “No reviews yet.” No comparable G2, Capterra, or long-form customer-review sample was found. This is an evidence limitation, not evidence that users are dissatisfied.
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.
| Source | Evidence type | Checked |
|---|---|---|
| Official website and pricing pages ↗ | Cited in archived research | See research context |
| Official application/demo pages ↗ | Cited in archived research | See research context |
| AI Search Console free trial ↗ | Cited in archived research | See research context |
| AI Search Console demo ↗ | Cited in archived research | See research context |
| AI Search Console on Product Hunt ↗ | Independent launch directory |
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
At the time checked, the public product website and application pages were the strongest directly available evidence for AI Search Console’s features, pricing, credits, and reporting workflow. Searches for product-specific G2, Capterra, Product Hunt, and long-form independent customer reviews did not surface a comparable review sample. This is an evidence limitation, not evidence that users are dissatisfied.
| Source | Public signal | What it supports | Confidence |
|---|---|---|---|
| Official website and pricing pages | Feature descriptions, plan prices, daily credits, projects, and advertised model coverage | Product scope and public commercial terms | High |
| Official application/demo pages | Prompt, answer-history, source, competitor, and reporting workflow claims | How the product is intended to be used | Medium-high |
| Independent review platforms | No comparable product-specific review sample surfaced during this check | Lack of independent validation should be disclosed | Low / limited |
| Hands-on trial | Not independently conducted by AICiteKit | The most important way to test data quality, refresh behavior, and credit economics | Pending |
AI Search Console is worth testing as a focused monitoring product, but its evidence profile is currently “strong public product evidence, limited independent customer evidence.” Buyers should treat the trial as part of the evaluation rather than relying on review-platform social proof.
Last reviewed: October 5, 2026
Data confidence: High for the public feature list, displayed prices, daily credit allowances, project limits, and advertised model icons; medium for exact credit consumption, refresh behavior, user limits, and model availability by plan.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.