Answer Capsule
NoGood is a good fit for companies hiring an AI search optimization agency, with meaningful qualifications. Two of seven platforms named NoGood during the ranking stage — Google and Grok, both at rank 5 — giving it a 28.6% share of included platform responses and an average listed rank of 5.0. Its strongest asset is a dedicated Answer Engine Optimization (AEO) service paired with the Goodie AI visibility platform, covering strategy, content optimization, technical AEO, and multi-platform measurement. The main limitation is transparency: managed-service pricing, contract terms, and the exact "AEO Growth Squad" package are not publicly documented, and outcome claims are primarily company-reported rather than independently validated.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (Google, Grok) |
| Share of included platform responses | 28.6% |
| Average listed rank | 5.0 |
| Best listed rank | 5 |
| Relevant product/model/plan | Answer Engine Optimization (AEO) Growth Squad; Goodie AI visibility platform + AEO services |
| Overall use-case fit | Strong (2 platforms); Good (4 platforms); Uncertain (1 platform) — 7 platforms analyzed |
| Research date | 2026-09-17 |
Why NoGood Qualified for This Study
Questions This Section Answers
- Is NoGood a good choice for AI Search Optimization Agencies in the United States?
- Why did only two of seven AI platforms name NoGood during the ranking stage?
NoGood qualified because it publicly markets a dedicated AEO service line rather than treating AI search as a generic SEO add-on, and because it pairs that service with a named measurement platform. Google and Grok both placed NoGood at rank 5 during ranking discovery, meeting the study's minimum-mention threshold of two platforms [1].
The qualification rests on a documented service footprint. NoGood's AEO page describes strategy, AI-platform coverage, competitive analysis, content optimization, and technical work [3]. Its GEO article discusses content quality, technical accessibility, entity and brand authority, and off-page signals [4]. Independent reviewers describe NoGood as a New York growth marketing agency that treats AEO as a named service and built its work around the Goodie platform [5], and one review calls it the growth agency that "most aggressively pivoted toward AEO," launching dedicated services in May 2025 [6].
The qualification also has a ceiling. NoGood is primarily a growth marketing agency where AEO is one service among many [7], and one source characterizes its foundation as traditional SEO adapting to AI rather than a purpose-built AI methodology [8]. Buyers evaluating the broader field can compare this profile against other AI Search Optimization Agencies in the category index.
The Product, Model, Plan, or Service Most Relevant to AI Search Optimization Agencies
Questions This Section Answers
- Which NoGood service or plan is most relevant for a company hiring an AI search optimization agency?
- Is the NoGood "AEO Growth Squad" a real, publicly documented package a buyer can price before signing?
The most relevant offering is NoGood's Answer Engine Optimization (AEO) service, delivered where applicable with the Goodie AI visibility platform. The exact package name "AEO Growth Squad" appears in platform research and in NoGood's own marketing [9], but OpenAI's review could not verify that name on the reviewed public pages and flagged it as possibly unlisted, renamed, or sales-only [11].
What is publicly verifiable is the service-plus-platform combination. NoGood's homepage describes AEO and SEO services and states that it uses Goodie as an AI visibility tracking platform [12]. Goodie is described in NoGood materials as an AEO platform built to track brand visibility inside ChatGPT, Gemini, Claude, and Perplexity [13], and NoGood says Goodie shows where a brand appears in LLM answers, which sources are pulled, what topics are cited, and where AEO opportunities exist [14].
There is a documented conflict about Goodie's ownership. Some NoGood marketing describes Goodie as built by NoGood [13], while NoGood's own AEO page describes Goodie as a third-party tool used as an external platform [15]. Anthropic's research concluded this likely means NoGood founded or developed Goodie but operates it as a separate entity with separate contracting. Buyers should confirm the commercial relationship directly rather than assume either framing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree NoGood does well for AI search optimization buyers?
- Does NoGood cover the major AI answer platforms a buyer cares about, including ChatGPT, Gemini, and Perplexity?
Platforms broadly agreed on three points: NoGood has a genuine AEO service line, it covers major AI answer surfaces, and it combines services with a measurement platform.
On coverage, NoGood publicly positions AEO as a dedicated service for earning citations and recommendations across ChatGPT, Gemini, Perplexity, Google AI Overviews, and other answer engines [16]. Its AEO services explicitly cover ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, and Copilot [18]. Goodie is reported to monitor 11 or more AI models including ChatGPT, Gemini, Claude, Perplexity, AI Overviews, Amazon Rufus, Meta AI, and DeepSeek [19].
On measurement, Goodie's public pricing page lists visibility monitoring, competitor and industry benchmarking, prompt research, optimization actions, Google Analytics revenue attribution, and integrations including Google Analytics and Google Search Console [21]. Independent review coverage states Goodie ties AI impressions, sessions, and conversions to business outcomes rather than vanity mentions [22].
On service structure, independent sources describe NoGood as running an end-to-end AEO service built on four pillars: AI visibility intelligence, content optimization, earned media/digital PR, and technical AEO [23]. NoGood's own materials describe technical AEO work addressing crawlability, rendering, server responses, and crawlers that do not execute JavaScript [24].
Agreement among platforms does not establish product quality. It establishes that these claims appear consistently across independent and company-owned sources.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How much does NoGood cost, and why do AI platforms disagree about NoGood's pricing?
- Is NoGood a specialist AEO agency or a generalist growth agency, and does that distinction matter for buyers?
Pricing is the sharpest disagreement. Grok reported an average retainer above $20,000 per month [26], and NoGood's own homepage states engagements are structured as monthly retainers with an average above $20,000/month (official:C1). Google's research cited a minimum project investment starting at $50,000+ [27]. Anthropic estimated mid-five-figures based on client profile selectivity [28]. DeepSeek found no published price points at all [29]. These figures are not reconciled in the sources and should be treated as indicative only.
Goodie software pricing also conflicts. Goodie's official pricing page lists a Growth plan at $350/month, Core at $399/month with 100 prompts and 10 optimization actions, Pro at $999/month with 250 prompts and 30 optimization actions, and Enterprise as custom [30]. Independent reviews list Explorer at $399/month [31], while a NoGood blog page lists Goodie monthly plans starting at $495 [33]. Google's research lists Explorer at $399/month billed annually and $478.80 billed monthly, with Pro at $999/month billed annually and $1,198.80 billed monthly [34]. The tier names and prices do not align cleanly across sources.
Specialization is the second disagreement. Most platforms treat NoGood's AEO positioning as a strength. Kimi rated fit "uncertain," arguing that NoGood's generalist growth-squad positioning makes it impossible to isolate AI search investment from broader marketing spend, and that public materials lack verifiable methodology for citation architecture and multi-engine monitoring [35]. Google rated fit "strong" and Grok rated it "strong," while OpenAI, Anthropic, DeepSeek, and Perplexity all rated it "good."
Outcome evidence is a third area of uncertainty. NoGood's AEO page reports a SteelSeries result of 23x growth in AI search traffic and 27% year-over-year conversion growth from AI platforms [36]. These are company-reported claims on the agency's own site; independent validation, methodology, baseline, and attribution are not publicly established in the reviewed sources.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does NoGood handle citation architecture, source and authority strategy, and content optimization for AI search?
- What AI visibility measurement does NoGood provide through Goodie, and how is it reported?
NoGood's public materials cover most of the evaluation criteria, with uneven depth. Strategy, platform coverage, content optimization, and measurement are well documented. Citation architecture and authority-building methodology are described at a high level but not detailed publicly.
| Criterion | Assessment | Evidence |
|---|---|---|
| AI search strategy and platform coverage | Advantage | Dedicated AEO positioning across ChatGPT, Gemini, Perplexity, Google AI Overviews |
| Content optimization | Advantage | Q&A-structured content for AI readability; dedicated AEO content writers and optimizers |
| Technical AEO | Advantage | Crawlability, rendering, server responses, non-JavaScript crawler handling |
| Measurement and attribution | Advantage | Goodie tracks AI impressions, sessions, conversions; GA and Search Console integrations |
| Competitive analysis | Neutral | Competitor benchmarking described; deliverable specifics not public |
| Citation architecture | Neutral to unclear | Authority-building via digital PR and citation strategies described; repeatable methodology not published |
| Source and authority strategy | Advantage | Earned media, digital PR, off-page brand mentions |
| Independent outcome validation | Unclear | SteelSeries results are company-reported |
NoGood's stated approach combines audits, competitive analysis, content creation, query-focused optimization, and technical website work [38]. Independent coverage adds that NoGood builds strategies considering how each platform sources and cites content differently, optimizing across the entire AI search ecosystem [39]. One source notes NoGood's model is built around custom, data-backed growth squads running rapid experimentation cycles so AEO optimizations feed into broader acquisition and revenue objectives [40].
The gap is methodological transparency. Public pages do not specify a repeatable proprietary citation-architecture methodology, publisher targets, or authority-building operating procedures [38]. Buyers who need documented citation workflows should request samples.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does NoGood charge per month for AEO services, and is there a setup fee?
- What are NoGood's contract, cancellation, and renewal terms for an AEO engagement?
NoGood's managed AEO service pricing is not publicly disclosed. The most concrete public figure is NoGood's own statement that engagements are structured as monthly retainers with an average above $20,000/month (official:C1). Independent estimates range from mid-five-figures [42] to a $50,000+ minimum project investment [43]. These figures conflict and none is confirmed by a published rate card.
Goodie software pricing is partially public but inconsistent across sources:
| Plan | Price | Source |
|---|---|---|
| Goodie Growth | $350/month | |
| Goodie Core | $399/month; 100 prompts, 10 optimization actions | |
| Goodie Explorer | $399/month; self-serve, free trial, 30-day money-back guarantee | |
| Goodie Explorer | $399/month billed annually; $478.80 billed monthly | |
| Goodie Pro | $999/month; 250 prompts, 30 optimization actions | |
| Goodie Pro | $999/month billed annually; $1,198.80 billed monthly | |
| Goodie monthly plans | Starting at $495 | |
| Goodie Enterprise | Custom/demo pricing |
On fees, Goodie's pricing page states each agency client requires its own brand plan in addition to the agency Growth plan [44]. Goodie's agency Growth plan is listed at $350/month with 10 pitch workspaces per month, client workspaces requiring individual brand plans, MCP access, and unlimited seats [44]. Potential implementation, content production, technical development, analytics, media, outreach, or third-party platform costs are unclear and should be confirmed [44].
On contract terms, the reviewed public pages do not state NoGood managed-service contract length, minimum commitment, cancellation terms, renewal terms, service-level commitments, or ownership of work product [44]. Goodie displays monthly, quarterly, and annual billing options, with annual billing shown as offering two months free; exact cancellation and refund terms were not verified [44]. Google's research adds that Goodie monthly subscriptions can be cancelled prior to the end of the current billing cycle, annual plans require at least 30 days' written notice to decline renewal, and late payment fees of 1.5% per month apply [45]. Anthropic's research notes Goodie Explorer includes a 30-day money-back guarantee and free trial on the self-serve option [46].
One independent review describes Goodie pricing as premium and quote-based, making it inaccessible for smaller businesses [47]. Another notes Goodie publishes one price and quotes the rest [48].
Best Suited For
Questions This Section Answers
- What type of company gets the most value from NoGood for AI search optimization?
- Is NoGood worth it for a brand that wants AEO integrated with SEO, paid media, and content?
NoGood is best suited to companies that want strategy plus execution rather than software-only monitoring, and that can support a premium retainer. The strongest fit profile is a funded growth-stage or enterprise brand with existing content, SEO, analytics, and technical teams that can implement recommendations [49].
Platforms converged on several buyer profiles. OpenAI's research lists companies wanting strategy plus execution, brands with existing content and technical teams, and organizations seeking multi-platform AI visibility measurement and revenue-attribution support through Goodie AI. Anthropic's research lists post-Series A funded startups and established enterprises, SaaS, B2B, fintech, healthcare, and ecommerce brands with multi-channel growth ambitions, and teams treating AI search as a measurable growth channel rather than a monitoring dashboard. One independent source describes NoGood as best for growth-stage B2B SaaS and consumer tech brands wanting measurable AEO with proprietary tracking [50].
NoGood's integrated model is the differentiator for buyers who want AEO connected to revenue. Independent coverage describes growth squads combining AEO specialists with paid media, content, and creative talent [51], and notes NoGood is good for companies wanting an integrated team rather than siloed efforts [52]. One source reports an 88% client retention rate [53], and another reports 84% retention [54]; these figures come from different sources and are not reconciled.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose NoGood for AI search optimization services?
- Is NoGood a bad fit for a small business that needs only a low-cost AI visibility dashboard?
NoGood is probably not the right choice for buyers who need published fixed-fee packages, low-cost self-serve tooling, or extensive independent case-study validation before purchase.
OpenAI's research lists buyers needing publicly documented fixed-fee agency packages or guaranteed scope and deliverables, small companies seeking a low-cost self-serve solution, and procurement teams requiring extensive independent case-study validation. Anthropic's research adds pre-revenue startups, organizations needing AEO as a single narrow discipline, brands requiring engineering-led technically complex AI optimization, and buyers prioritizing lowest-cost entry. DeepSeek's research lists buyers requiring published transparent per-engagement pricing before shortlisting, enterprises needing independently audited AEO benchmarks, and organizations wanting only a low-cost self-serve dashboard with no services retainer.
Kimi's research is the most skeptical, rating fit "uncertain" and stating that NoGood may suit companies already committed to its broader growth marketing services who want to add AI search optimization without managing separate vendors, but that this efficiency tradeoff sacrifices verifiable depth in the specific use case [55].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to NoGood for a buyer who needs transparent published pricing?
- When should a buyer choose a software-first AI visibility platform instead of NoGood's managed service?
Another option may be better in four recurring situations: when pricing transparency is required, when the buyer wants software only, when technical depth is the priority, and when budget is constrained.
On pricing transparency, multiple platforms noted that competitors publish at least entry-tier pricing while NoGood is quote-based. Kimi's research names Foundgrove at $2,500/month with no setup fee and month-to-month terms [56], FORKOFF at $4,000–$7,000/month with 5-engine monitoring and 20–40 queries [57], Rankite at $900+/month with cancel-anytime terms [58], Shahan Digital at $850+/month with regulated-sector experience [59], and SEOH with starter pricing bands from $450–$1,000 [60]. These are vendor-published figures from the platforms' own research and were not independently validated.
On software-only needs, OpenAI's research suggests choosing a software-first platform such as Goodie directly when the buyer has internal SEO, content, analytics, and engineering resources and mainly needs measurement and workflow tooling. Perplexity's research notes that if the buyer wants only software, a dedicated AI visibility platform may be a better fit.
On technical depth, Anthropic's research points to iPullRank for enterprises with complex technical architecture or multilingual sites requiring deep data-science firepower, and to Siege Media or Omniscient Digital for AEO-exclusive service. Google's research points to Windgrove AI for a strict hyper-focused AEO specialist without paid social or general SEO overhead [61].
On budget, Anthropic's research suggests AEO Engine for purpose-built automation and lower cost, and Goodie self-serve Explorer or Otterly AI/Peec AI at lower price points for pre-revenue or early-stage startups needing a monitoring dashboard only. Buyers comparing the wider vendor field can browse the ai search geo agencies directory.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with NoGood about AEO Growth Squad scope before signing a contract?
- How should a buyer verify NoGood's AI visibility measurement methodology and platform coverage?
The verification list below consolidates the questions platforms flagged as unresolved. Every item reflects a gap in public documentation rather than a known defect.
- What exactly is included in the AEO Growth Squad: strategy, content production, technical implementation, digital PR, outreach, reporting, and account management? [62]
- Is Goodie included in the managed-service fee, and which models, countries, prompts, brands, seats, and optimization actions are covered? [63]
- What are the minimum term, renewal, cancellation, payment, and termination provisions for NoGood services? [63]
- Which activities are performed by NoGood versus the client, contractors, or Goodie software? [62]
- How are citations, source quality, recommendation rate, sentiment, share of voice, and revenue attribution defined and sampled? [62]
- How will NoGood separate AI-platform volatility from actual campaign impact, and what baseline and control methodology will be used? [62]
- Are content, technical changes, third-party placements, and analytics integrations included or billed separately? [63]
- Who owns created content, prompt datasets, dashboards, integrations, and historical visibility data after termination? [62]
- Can NoGood provide recent, independently referenceable customer examples in the buyer's industry and geography? [62]
- Which AI platforms and answer surfaces are actually monitored today, and what happens when platform APIs, interfaces, or citation behavior change? [62]
- Does NoGood offer any AEO-only service, or is the full growth squad required as a minimum engagement? [64]
- If the Goodie relationship ends or terms change, can NoGood continue AEO work with alternative tools? [65]
- Will the $50,000+ minimum project budget be allocated purely to AEO, or is bundling general SEO, paid ads, or creative services mandatory? [66]
- Does the proposed AEO squad package include manual developer resources to implement schema, crawlability, and HTML rendering fixes, or does it only deliver strategic insights via Goodie AI? [67]
- What is the exact citation architecture methodology, and can NoGood provide a sample cross-engine citation gap analysis? [68]
Final AI Consensus Verdict
NoGood is a good fit for AI Search Optimization Agencies, with meaningful qualification. Two of seven platforms named it during ranking discovery, both at rank 5, and fit ratings across the seven platform evaluations were two "strong," four "good," and one "uncertain."
The case for NoGood rests on a dedicated AEO service line, broad platform coverage across ChatGPT, Gemini, Perplexity, Claude, Copilot, and Google AI Overviews, technical AEO capability, and the Goodie measurement layer with revenue attribution [69]. The case against rests on transparency: no published managed-service pricing, no published contract terms, an unverified "AEO Growth Squad" package name, and outcome claims that are primarily company-reported [69].
The practical verdict is that NoGood appears stronger than a generic SEO agency for AI search strategy and execution, but buyers should treat the managed-service package, pricing, contract terms, exact platform coverage, and claimed outcomes as sales-stage items requiring verification rather than as fully documented public facts [69]. Buyers who require published pricing or independently audited benchmarks before shortlisting should evaluate alternatives first.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms — OpenAI, Anthropic, Google, Grok, DeepSeek, Perplexity, and Kimi — each of which independently evaluated NoGood against the AI Search Optimization Agencies use case. The study date is 2026-09-17.
Platforms evaluated fit using a shared prompt covering AI search strategy, GEO/AEO, competitive analysis, citation architecture, source and authority strategy, content optimization, and measurement of AI visibility. Two platforms named NoGood during ranking discovery, which is the basis for its inclusion. All seven platforms produced fit assessments, strengths, limitations, pricing findings, and verification questions.
Citations in this article are platform-reported evidence, not independently verified facts. Company-owned sources materially outnumber independent sources in the supplied catalog. No personal testing, customer interviews, or independent verification was performed.
Methodology Limitations
Several limitations apply. Platform-reported research dates differ from the authoritative run date: DeepSeek's research is dated 2026-01-15 while the remaining platforms and the study date are 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
DeepSeek's research ran with search disabled, so its findings are model-reported rather than retrieved from live pages. All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery, so the 28.6% share reflects ranking-stage naming rather than total evaluation coverage.
Pricing conflicts were not resolved. NoGood's managed-service cost appears as "above $20,000/month" (official:C1), "mid-five-figures" [72], and "$50,000+ minimum" [73] across sources. Goodie plan names and prices also conflict across sources. Buyers should treat all figures as indicative.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned citations materially outnumber independent citations, so company claims are not described as independently verified. The exact "AEO Growth Squad" package name could not be verified on reviewed public pages. NoGood's reported SteelSeries results are not independently substantiated in the reviewed sources. An independent directory describes thin third-party review evidence and reports different indicative pricing that was not verified against NoGood's official materials [74].
Sources
Company-Owned Sources
- AI Search Optimization Service — Clear Cited: https://clearcited.com/ai-search-optimization/
- Goodie AI Review: What the GEO Platform Actually Does - Mostafa ElBermawy: https://elbermawy.com/goodie-ai-review
- AI Search Optimization Agency · FORKOFF: https://forkoff.xyz/services/ai-search-optimization
- AI SEO Agency — GEO + AEO, Month-to-Month | Foundgrove: https://foundgrove.com/services/ai-seo
- Goodie by NoGood — AI Visibility Platform: https://goodie.ai/
- NoGood: The #1 Growth Marketing Agency in ChatGPT | Goodie: https://higoodie.com/case-studies/nogood/
- Pricing Plans | Power Your AI Search Visibility | Goodie: https://higoodie.com/pricing/
- NoGood: Growth Marketing Agency: https://nogood.io/
- AEO Services - Answer Engine Optimization - NoGood: https://nogood.io/aeo-services/
- AEO Services: Answer Engine Optimization: https://nogood.io/answer-engine-optimization-aeo/
- Answer Engine Optimization (AEO) Services | AEO Agency | NoGood: https://nogood.io/answer-engine-optimization-service/
- NoGood — Answer Engine Optimization (AEO) Services: https://nogood.io/answer-engine-optimization/
- Best Answer Engine Optimization (AEO) Agencies In 2026 - NoGood: https://nogood.io/best-aeo-agencies/
- AI Reputation Management on Google & LLMs | NoGood: https://nogood.io/blog/ai-reputation-management/
- 15 Best AI SEO Tools in 2025 (Free and Paid: https://nogood.io/blog/ai-seo-tools/
- The Best Answer Engine Optimization (AEO) Tools 2026: https://nogood.io/blog/best-aeo-tools/
- Best Tools for LLM Visibility in 2026: Our Top 9 Picks - NoGood: https://nogood.io/blog/best-tools-for-llm-visibility/
- Generative Engine Optimization (GEO): Strategies to Boost AI Search Visibility: https://nogood.io/blog/generative-engine-optimization/
- Goodie AI Review: Features, Pricing & More: https://nogood.io/blog/goodie-ai-review/
- Profound Review vs. Goodie: Which Is the Better AEO Tool?: https://nogood.io/blog/profound-review/
- Goodie AI Review: Features, Pricing & More - NoGood: https://nogood.io/goodie-ai-review/
- How To Optimize Content for AI Search (And How Often) - NoGood: https://nogood.io/how-to-optimize-content-for-ai-search/
- Technical AEO: The Checklist for AI Search Visibility - NoGood: https://nogood.io/technical-aeo-checklist/
- AI Search Optimization (AEO & GEO) | Rankite: https://rankite.com/services/ai-search-optimization
- AI search optimization for answers | SEOH: https://seoh.team/en/services/geo-aeo-ai-search
- AI Search Optimization for ChatGPT & Google AI Overviews: https://shahandigital.com/ai-search-optimization/
Additional AI research evidence74 records
- AI research evidence record google:1.1.1
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:6-1
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:32-3
- AI research evidence record deepseek:c1
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record google:1.2.1
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:1-10
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:10-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:7-1
- AI research evidence record google:1.1.9
- AI research evidence record google:1.3.4
- AI research evidence record grok:13
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:3-21
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:14-8
- AI research evidence record anthropic:14-9
- AI research evidence record anthropic:15-4
- AI research evidence record google:2.2.3
- AI research evidence record kimi:nogood_site_2026
- AI research evidence record openai:c1
- AI research evidence record google:1.3.2
- AI research evidence record openai:c1
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:20-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-21
- AI research evidence record google:1.4.8
- AI research evidence record openai:c3
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:14-9
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:14-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:6-2
- AI research evidence record anthropic:8-3
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:26-7
- AI research evidence record grok:13
- AI research evidence record kimi:nogood_site_2026
- AI research evidence record kimi:foundgrove_seo
- AI research evidence record kimi:forkoff_services
- AI research evidence record kimi:rankite_services
- AI research evidence record kimi:shahan_digital
- AI research evidence record kimi:seoh_team
- AI research evidence record google:1.4.6
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-10
- AI research evidence record google:1.4.8
- AI research evidence record google:1.1.9
- AI research evidence record kimi:nogood_site_2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c3
- AI research evidence record anthropic:3-21
- AI research evidence record google:1.4.8
- AI research evidence record openai:c5
Independent Sources
- AEO Engine vs NoGood: Growth Marketing Agency Alternative (2026) | AEO Engine: https://aeoengine.ai/vs/nogood
- The 7 Best Answer Engine Optimization (AEO) Agencies - Alex Birkett: https://alexbirkett.com/answer-engine-optimization-agencies/
- Goodie AI Review: What the GEO Platform Actually Does: https://bermawy.com/blog/goodie-ai-geo-platform-review
- NoGood Alternatives – 2026 - Genesys Growth: https://genesysgrowth.com/nogood-alternatives-2026
- NoGood Reviews | LLMSeoNetwork.com: https://llmseonetwork.com/agency/nogood
- 10 Best Answer Engine Optimization (AEO) Agencies in current_month_year: https://minuttia.com/best-aeo-agencies/
- Best AI Visibility Agencies for Consumer Brands 2026: https://newengen.com/insights/best-ai-visibility-agencies-consumer-brands/
- 9 AI Visibility Optimization Platforms Ranked by AEO Score (2026: https://nicklafferty.com/blog/best-ai-visibility-optimization-platforms/
- NoGood — AI SEO & GEO agency in New York: https://nogood.bestaiseo.agency/
- Goodie AI Review 2026: Pricing, Features, and Better Alternatives | PikaSEO: https://pikaseo.com/articles/goodie-ai-review
- Top 9 Best AEO Agencies in 2026 - Complete Guide to Answer Engine Optimization Providers - Prime Avenue Group: https://primeavenuegroup.com/best-aeo-agencies/
- NoGood Review 2026: Pricing, Features, Pros & Cons | SalesHive: https://saleshive.com/vendors/nogood
- Best AEO Agencies in 2026 | StartupCookie: https://startupcookie.com/agencies/best-aeo-agencies/
- Windgrove AI vs. NoGood: Which AEO Agency Is Right for B2B SaaS Growth-Stage Companies?: https://windgrove.ai/windgrove-ai-vs-nogood-aeo-agency-comparison
- 13 Best AI SEO Agencies (2026) | Charle: https://www.charleagency.com/articles/top-ai-seo-agencies/
- 10 Best AI Search Optimization Agencies 2026: https://www.digitaldiscovery.institute/blog/best-ai-search-optimization-agencies/
- Best AEO Agencies for AI Search Visibility in 2026: https://www.therankmasters.com/insights/vendors/best-aeo-agencies
- The Best AEO Agencies for Growing AI Visibility & Revenue (2026) | Optimist: https://www.yesoptimist.com/best-aeo-agencies/
- 10 Leading AI SEO Agencies in America - 2025 Guide: https://xponent21.com/insights/10-leading-seo-companies-helping-brands-rank-in-ai-search-and-beyond/
- Best AI SEO Agency | How to choose an AI SEO agency? - ZipTie.ai: https://ziptie.ai/blog/best-ai-seo-agency/
Additional AI research evidence74 records
- AI research evidence record google:1.1.1
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:6-1
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:32-3
- AI research evidence record deepseek:c1
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record google:1.2.1
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:1-10
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:10-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:7-1
- AI research evidence record google:1.1.9
- AI research evidence record google:1.3.4
- AI research evidence record grok:13
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:3-21
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:14-8
- AI research evidence record anthropic:14-9
- AI research evidence record anthropic:15-4
- AI research evidence record google:2.2.3
- AI research evidence record kimi:nogood_site_2026
- AI research evidence record openai:c1
- AI research evidence record google:1.3.2
- AI research evidence record openai:c1
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:20-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-21
- AI research evidence record google:1.4.8
- AI research evidence record openai:c3
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:14-9
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:14-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:6-2
- AI research evidence record anthropic:8-3
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:26-7
- AI research evidence record grok:13
- AI research evidence record kimi:nogood_site_2026
- AI research evidence record kimi:foundgrove_seo
- AI research evidence record kimi:forkoff_services
- AI research evidence record kimi:rankite_services
- AI research evidence record kimi:shahan_digital
- AI research evidence record kimi:seoh_team
- AI research evidence record google:1.4.6
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-10
- AI research evidence record google:1.4.8
- AI research evidence record google:1.1.9
- AI research evidence record kimi:nogood_site_2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c3
- AI research evidence record anthropic:3-21
- AI research evidence record google:1.4.8
- AI research evidence record openai:c5
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 17, 2026
- Platforms analyzed
- 7
- Source records
- 46
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #9
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
20 independent · 26 company-owned
Evidence support
43 direct · 3 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 5cddb5fdbda2a4c28efdf91692e9fbe0f86960967d61c4c70d6707fbd49f0ae1