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The selection guideSource-backed research ↗
Analytics / AI visibility & analytics
Goodie
Full-stack AEO monitoring, optimization, crawler analytics, and AI-commerce attribution
Visibility analytics
Why it stands out
Connects monitoring, recommendations, content, crawler diagnostics, and attribution.
Source review: · Public-source research, not a hands-on test
↗ Best for
SEO and growth teams measuring brand presence beyond traditional rankings
! Know before you buy
Public plan detail is clearer than before but enterprise scope, history, model methodology, overages, and several quotas still require verification.
01 / Editorial assessment
Is Goodie for you?
The AICiteKit take
Goodie is a credible shortlist candidate for a team that wants more than a visibility dashboard. Its product architecture attempts to connect the measurement layer (prompts, mentions, citations, sentiment, competitors), the execution layer (optimization actions, content, technical fixes, and outreach), and the business layer (analytics and attribution). The crawler and agent pages also address a technical question that many visibility tools leave out: whether AI clients can access and process the site in the first place. Goodie is worth testing for mid-market and enterprise teams that can combine AI-answer evidence with content, PR, development, analytics, or ecommerce operations. It is a poor first purchase for a solo marketer who only needs occasional manual checks. Use the trial or demo to validate raw observations, not to promise that recommendations will produce citations or sales.
A good fit if you are…
- SEO and growth teams measuring brand presence beyond traditional rankings
- PR and communications teams monitoring inaccurate or incomplete AI descriptions
- Agencies that need multi-client AEO research, reporting, and action workflows
- Ecommerce and retail teams tracking product visibility in AI-shopping experiences
- Organizations with GA4 or Google Analytics data and a defined attribution owner
Consider another option if…
- Solo operators who only need a handful of manual ChatGPT checks
- Buyers requiring a substantial, independently verified review sample before purchase
- Teams looking for a traditional keyword database, backlink crawler, or general SEO suite
- Organizations without engineering or analytics support for crawler and attribution validation
- Buyers expecting a guaranteed answer position, citation, traffic lift, or revenue outcome
02 / Scope, not promises
Features & coverage
- Core scope
5 core models, 120 prompts, MCP, and 50 optimizations/month
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Quick facts- Agency Growth
$275/month shown for agency pitch workspaces; billed quarterly or annually, with client workspaces sold as an add-on
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Quick facts- Core access
5 seats, AEO strategist support, direct revenue attribution, MCP, and a 7-day free trial
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Quick facts- Primary use case
Monitor and improve brand visibility in AI answers
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Quick facts- Core price
$399/month on the current public pricing page
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Quick facts- Pro price
$999/month; 8 models, 250 prompts, MCP, 100 optimizations/month, and SKU-level agentic-commerce visibility
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Quick facts
Prompt research and visibility monitoring
Goodie says it can identify customer prompts and monitor brand mentions, citations, sentiment, and competitive share across major AI surfaces. The current pricing page is more specific than the broad homepage: Core lists five core models, Pro lists eight, and Enterprise describes up to 13 models. The named model sets vary by tier, so the homepage’s wider list should not be treated as universal plan entitlement. Before treating a visibility trend as comparable, record: A share-of-voice or visibility metric describes the sampled prompt universe. It is not a universal AI ranking and cannot prove that a user saw, trusted, or acted on the answer.
Brand intelligence, sentiment, and misinformation
Goodie’s product pages describe brand intelligence that surfaces value propositions, competitive presence, sentiment trends, citation sources, and possible inaccuracies. This can help a communications team find situations where an engine describes the brand incorrectly or associates it with an unintended topic. AI sentiment is a diagnostic signal, not an objective reputation measurement. Validate important findings against the raw answer, current brand facts, customer research, and the source pages cited by the model.
Optimization actions and content studio
The platform promotes prioritized optimization actions, content generation, and an optimization hub. Public third-party descriptions also mention content gaps, outreach assistance, technical recommendations, and an AEO-oriented writer. Treat recommendations as hypotheses. A useful action should identify the prompt or answer gap, the relevant source or page, the proposed change, the owner, and the measurement signal. Human review remains necessary for factual accuracy, accessibility, internal linking, legal claims, brand voice, and editorial quality. Generated content is not independent evidence that a model will cite the resulting page.
AI crawler and agent analytics
Goodie’s crawler documentation describes logging bot type, pages accessed, crawl frequency, time on page, errors, and access denials. It also lists audits for schema, robots.txt, page speed, mobile rendering, and content structure. These signals are useful for technical investigation, but a crawler request does not equal retrieval into an answer, a citation, a human visit, or a conversion. Ask how bot identity is verified, how spoofed user agents are handled, whether CDN and server logs can be reconciled, and how sampling differs from first-party measurement.
Agentic commerce and product visibility
Goodie’s commerce pages position the product for AI-shopping discovery, including product mentions, comparison position, competitor placement, price accuracy, and product-level attribution. The agentic commerce suite also describes feed remediation, product copy and FAQ generation, schema injection, and image optimization. For ecommerce, verify each observation against the product feed, canonical product page, variant data, price, stock, reviews, shipping, and the raw AI answer. A product appearing in a shopping answer does not prove that the displayed attributes are correct or that the user will purchase.
A focused evaluation workflow
- Start with one brand, market, product family, and stable prompt panel.
- Capture raw answers, citations, source domains, model, date, location, and product attributes.
- Compare answer evidence with crawl logs, canonical pages, feeds, analytics, and conversion records.
- Classify findings as answer, source, crawler, referral, assisted-conversion, or revenue evidence.
- Make one bounded content, technical, PR, or product-data change.
- Re-run the same panel and report visibility movement separately from traffic and revenue.
- Expand models, languages, locations, and products only after the baseline is reproducible.
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-09-19 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- Pricing at a glance
$399/month for the Core brand plan, checked September 19, 2026. The current pricing page also shows Pro at $999/month and Agency Growth at $275/month when billed quarterly or annually.
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Overview
- Core (brand)
Publicly described scope: 5 core models; 120 prompts; MCP; 50 optimizations/month; direct revenue attribution; 5 seats; AEO strategist support; 7-day free trial · Public price: $399/month
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Pricing and plan limits- Pro (brand)
Publicly described scope: 8 models; 250 prompts; MCP; 100 optimizations/month; direct revenue attribution; unlimited seats; SKU-level agentic-commerce visibility across 5+ models · Public price: $999/month
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Pricing and plan limits- Enterprise (brand)
Publicly described scope: Up to 13 models; tailored prompts; complete revenue attribution; multi-brand performance; API/MCP and data export; SOC 2; dedicated strategist · Public price: Contact vendor
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Pricing and plan limits- Agency Growth
Publicly described scope: 10 pitch workspaces/month; unlimited seats; MCP; full client workspaces available as an add-on; client workspaces start at the brand-plan ladder · Public price: $275/month, billed quarterly or annually
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Pricing and plan limits
- Free access & trial
7-day free trial displayed for Core; confirm eligibility and conversion terms
Archived research · Research dated 2026-09-19; confirm current termsResearch excerpt · Quick facts
Pricing context & qualifications
The official pricing page checked September 19, 2026 publicly displayed separate brand and agency ladders:
| Plan | Publicly described scope | Public price |
|---|---|---|
| Core (brand) | 5 core models; 120 prompts; MCP; 50 optimizations/month; direct revenue attribution; 5 seats; AEO strategist support; 7-day free trial | $399/month |
| Pro (brand) | 8 models; 250 prompts; MCP; 100 optimizations/month; direct revenue attribution; unlimited seats; SKU-level agentic-commerce visibility across 5+ models | $999/month |
| Enterprise (brand) | Up to 13 models; tailored prompts; complete revenue attribution; multi-brand performance; API/MCP and data export; SOC 2; dedicated strategist | Contact vendor |
| Agency Growth | 10 pitch workspaces/month; unlimited seats; MCP; full client workspaces available as an add-on; client workspaces start at the brand-plan ladder | $275/month, billed quarterly or annually |
Capterra’s listing, updated August 20, 2026, displayed a starting-price field of $495 per user per month, but also displayed 0 user reviews and did not provide a matching public plan breakdown. This conflicts with Goodie’s current $399/month Core plan and may reflect older or differently scoped provider data. Buyers should treat the official pricing page as the current displayed offer while asking Goodie to explain billing basis, annual terms, taxes, client-workspace add-ons, and whether the agency price is a pitch-only workspace or a full client account.
The current pricing page explicitly advertises a 7-day free trial for Core, but the checked page did not establish overage policy, response retention, data residency, or Enterprise price. A trial is not evidence of a permanent free tier. Do not infer these terms from third-party estimates.
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- Connects monitoring, recommendations, content, crawler diagnostics, and attribution.
- Public Core, Pro, and Agency pricing and limits provide a starting point for evaluation.
- Product pages address both answer visibility and AI-agent access to websites.
- Ecommerce positioning includes product-level discovery and feed-related workflows.
- MCP access may help teams bring AEO data into existing workflows.
Reasons to pause
- The public pricing page exposes only limited plan detail; larger programs are likely sales-led.
- Core’s 120 prompts and five core models may be narrow for global or multi-product programs; Pro and Enterprise change the scale and model mix materially.
- Public sources do not fully specify model versions, sampling, retention, or comparability.
- Capterra showed zero user reviews when checked, so independent satisfaction evidence is thin.
- Some detailed reviews have commercial, affiliate, or disclosed partner relationships.
Public plan detail is clearer than before but enterprise scope, history, model methodology, overages, and several quotas still require verification.
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Peec AI ↗
Peec AI · Monitoring and competitive AI-visibility analytics · Less focused on crawler diagnostics and action execution
Otterly.AI ↗
Otterly.AI · Accessible prompt monitoring and agency reporting · Narrower full-stack action and attribution scope
Scrunch ↗
Scrunch · Visibility combined with crawler and AI-shopping diagnostics · Higher starting price and limited independent evidence
AirOps ↗
AirOps · Content operations and optimization workflows · Not primarily a standalone answer-visibility measurement platform
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 |
|---|---|---|
| Goodie ↗ | Cited in archived research | See research context |
| Goodie’s crawler documentation ↗ | Cited in archived research | See research context |
| agentic commerce suite ↗ | Cited in archived research | See research context |
| Goodie official pricing ↗ | Cited in archived research | See research context |
| Capterra Goodie listing ↗ | Cited in archived research | See research context |
| Bermawy hands-on review ↗ | Cited in archived research | See research context |
| NoGood Goodie review ↗ | 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 |
|---|---|---|---|
| Goodie official pricing | Core $399/month with 5 models, 120 prompts, MCP, 50 optimizations/month, 5 seats, and a 7-day trial; Pro $999/month with 8 models and 250 prompts; Agency Growth $275/month billed quarterly or annually; checked September 19, 2026 | Current displayed commercial ladders, model/prompt/action limits, and trial signal | High for displayed terms; add-ons, overages, retention, and Enterprise price still need confirmation |
| Capterra | Listing updated August 20, 2026; 0 user reviews; provider data and feature summary | Product listing and evidence scarcity | Medium for listing; high for 0-review signal |
| Bermawy hands-on review | Detailed practitioner account covering workflow, pricing uncertainty, strengths, and limitations | Practical observations and tradeoffs | Medium-low; commercial context unclear |
| NoGood review | Detailed review of features and workflow; author discloses a relationship with the tool | Feature observations and possible workflow benefits | Low-medium; disclosed potential bias |
| Goodie crawler documentation | Describes bot logging, access-denial checks, and technical audits | Vendor-stated crawler workflow | High for stated capability; not outcome proof |
Recurring positive themes
A reliable independent user consensus has not been established. The recurring positive themes in practitioner and commercial reviews are breadth of AI-surface coverage, an action layer that goes beyond reporting, competitor and citation-gap analysis, and the attempt to connect visibility to business analytics.
Recurring concerns and tradeoffs
- Agency client-workspace add-ons, overages, and plan scope beyond the displayed ladders are not fully transparent publicly.
- The platform may be overkill for small teams without content, PR, development, or analytics capacity.
- AEO metrics are less standardized than traditional rankings and need careful methodology.
- Reviews that describe the product in depth are not equivalent to a large verified customer sample.
- Traditional SEO capabilities are not the product’s primary focus.
How much should buyers trust the evidence?
Trust Goodie’s official pages for the features and limits they explicitly display. Treat Capterra’s zero-review signal as evidence that independent public feedback is currently limited, not as evidence that customers are dissatisfied. Treat NoGood’s review as potentially useful but biased because it discloses a relationship. Treat vendor customer stories as vendor-selected customer evidence; they do not independently prove causal traffic, citation, or revenue impact.
The public evidence is strongest for product positioning and weakest for independent satisfaction and durable business outcomes.
AICiteKit interpretation
Goodie’s differentiation is the attempt to connect answer visibility, technical agent access, action execution, and attribution. That is a promising operating model, but buyers should demand raw observations and a transparent methodology before treating the platform’s aggregate scores as business KPIs.
What to verify during a trial or demo
- Can the account export full answers, cited URLs, timestamps, models, locations, and prompt IDs?
- Which models and shopping surfaces are included in Core, Pro, Agency client workspaces, and Enterprise?
- Are generated prompts editable, deduplicated, and segmented by intent and market?
- Can crawler classifications be reconciled with CDN, hosting, and server logs?
- Does every recommendation identify a source, page, product fact, or answer gap?
- How are AI referrals, assisted conversions, and revenue attributed in Google Analytics?
- What are the history, retention, overage, API, MCP, seat, and action limits?
- Can the team reproduce a finding after a model, location, or prompt change?
- Does any commerce automation preserve canonical content, accessibility, analytics, and governance?
Review evidence sources
- Goodie — official product scope and vendor-selected customer evidence.
- Goodie pricing — displayed Core, Pro, Enterprise, and Agency Growth prices and limits.
- Capterra Goodie listing — listing, pricing discrepancy, and zero-review signal.
- Bermawy Goodie review — practitioner observations and comparative context.
- NoGood Goodie review — feature observations with disclosed relationship.
Last reviewed: September 19, 2026
Data confidence: Medium-low. Official product and current plan pricing claims are directly checkable, but independent user feedback, plan-level model methodology, and causal outcome evidence remain limited.
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.