Answer Capsule
Go Fish Digital is a good fit for brands that want an agency-led GEO program combining owned-site optimization, technical SEO, content strategy, digital PR, and AI-search measurement. Three of seven platforms named it during the ranking stage (openai, perplexity, deepseek), and it placed as high as rank 3. Its strongest asset for this use case is an explicit citation-architecture and third-party-authority methodology backed by proprietary tooling. The main limitation is that pricing, contract terms, platform-specific measurement detail, and independently verified AI-citation outcomes are not publicly established, so buyers must validate commercial terms and reporting methodology before signing.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms |
| Share of included platform responses | 42.9% |
| Average listed rank | 4.67 |
| Best listed rank | 3 |
| Relevant product/model/plan | Generative Engine Optimization services, including AI Search Optimization, semantic content audits, technical SEO, digital PR for brand citations, and measurement through Barracuda |
| Overall use-case fit | Good (per openai, anthropic, deepseek, perplexity, google); strong per grok; uncertain per kimi |
| Research date | 2026-09-17 |
Why Go Fish Digital Qualified for This Study
Questions This Section Answers
- Is Go Fish Digital a good choice for GEO Agencies for AI Citation and Authority Building?
- What ranking position did Go Fish Digital earn across AI platforms for citation and authority building?
Go Fish Digital qualified because it was named by three of the seven included platforms during ranking discovery — openai, perplexity, and deepseek — with listed ranks of 4, 3, and 7 respectively [1]. That is a 42.9% share of included platform responses, above the two-mention minimum this study required.
The entity is a full-service digital marketing agency with roughly 20 years of search heritage, per an independent review platform profile [4]. It markets a dedicated Generative Engine Optimization service rather than only traditional SEO [1]. It also publishes educational material on how AI systems select and cite sources, which is directly relevant to the citation-architecture half of this use case [6].
Qualification here means the entity cleared the study's inclusion threshold. It does not mean the platforms agreed on fit strength — they did not, and that disagreement is documented below.
The Product, Model, Plan, or Service Most Relevant to GEO Agencies for AI Citation and Authority Building
Questions This Section Answers
- Which Go Fish Digital service should a buyer choose for AI citation and authority building?
- Does Go Fish Digital's GEO service include digital PR and third-party authority work, or only on-site optimization?
The relevant offering is Go Fish Digital's Generative Engine Optimization (GEO) service, sold alongside its SEO and AI Search practice and supported by the Barracuda tool suite [8].
The GEO service is described as covering semantic content audits, page- and passage-level optimization, technical SEO for discoverability, and digital PR intended to increase brand citations on authoritative sources [8]. Go Fish frames the approach around three pillars: expanding semantic footprint, increasing fact density, and implementing structured data [11]. It also states that it helps brands become trusted sources AI systems surface and cite by aligning with how large language models fetch and synthesize information [12].
Supporting services include Owned Media Services spanning SEO, GEO, Digital PR, and ORM [13], and an integrated SEO-and-AI-search offering covering content strategy, digital PR and authority building, local SEO, and analytics through Barracuda [14]. Go Fish also markets a GEO audit framework built around fixing extractability — restructuring content so it can be retrieved and used in AI answers [16].
Proprietary tooling named in the sources includes Barracuda, the AI Overview Analyzer, and a Semantic Content Audit [17]. Barracuda is described as an AI-powered marketing platform delivering page-level analysis against 14 factors identified in Google patents as influential to search rankings [18], with modules for Content Similarity, Fan Out Queries, Page Optimization, Page Outlines, and Smart Labels [19]. Go Fish also describes an E.C.H.O. operating model that coordinates agentic AI and marketing teams using Barracuda [20].
One packaging caveat: independent analysis states Go Fish has not defined a stand-alone AI Citation Share product, though its DNA is described as closer to that work than most competitors [21]. Buyers wanting a citation-only product rather than an integrated engagement should treat this as a scoping question.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Go Fish Digital does well for AI citation and authority building?
- Is Go Fish Digital's digital PR capability relevant to earning AI citations?
Platforms broadly agreed on four points.
Citation architecture and source-layer emphasis. Multiple platforms described Go Fish as explicitly emphasizing entity presence, topic coverage, fact density, structured data, summarization-friendly content, and authoritative third-party mentions [22]. Independent commentary credits the firm with deep research into how large language models work, including coining concepts like fact density and semantic footprint [25].
Digital PR as an authority lever. Go Fish's digital PR service is described as focused on backlink acquisition and media coverage to build authority [26], and the firm states that in an AI-first world citations are currency — the more a brand is mentioned in credible outlets, the more likely inclusion in generative answers [27]. An independent earned-media analysis highlighted Go Fish as a top-tier digital PR agency with retainer pricing from $3,000 to $15,000 per month [28].
Multi-platform targeting. Go Fish publicly references Google AI Overviews or AI Mode, ChatGPT, Bing Copilot, Claude, and Perplexity as environments it targets [29]. One platform reported that Barracuda provides visibility insights across Google, ChatGPT, and other AI/search platforms [32].
Technical SEO as a foundation. Platforms agreed the service includes technical audits, structured data optimization, entity optimization, schema engineering, and Core Web Vitals work described as foundational to AI readiness [33]. An independent agency ranking placed Go Fish at the intersection of technical SEO (schema, entities, structured data) and digital PR [34].
Agreement among platforms reflects how consistently the entity was described in retrieved material. It is not evidence that the service performs as described.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How confident are AI platforms that Go Fish Digital delivers repeatable AI citation results?
- Does Go Fish Digital publish transparent pricing and contract terms for its GEO service?
Fit ratings diverged. Grok rated the fit strong; openai, anthropic, deepseek, perplexity, and google rated it good; kimi rated it uncertain [35].
Outcome evidence. Independent analysis expressed lower confidence that the public record alone proves repeatable, client-level improvement in valid AI recommendations, first-choice placement, competitive displacement, and AI-attributed pipeline [42]. The same source expressed moderate confidence that Barracuda and current GEO methodology create a durable advantage over other sophisticated search agencies [43]. Public case material references keyword ranking gains — for example, SimpleTexting's 308% increase in positions 1–3 — and more frequent AI Overview appearances, but not citation frequency or competitive placement [44].
Measurement opacity. One platform reported that public materials suggest AI search visibility work but do not clearly verify a standardized reporting framework or multi-platform measurement methodology [45]. Another found that sources describe AI visibility reporting in general terms without verifiable detail on which platforms are tracked [38]. A third noted a "prompt-level gap" where agencies cannot completely track which private user queries surface a brand [47].
Pricing conflict. Reported figures conflict. One independent review platform reports typical project costs of $30,000–$200,000 [48]. Another independent profile reports custom managed-services engagements from four-figure project rates to six-figure annual contracts [49]. Go Fish's own GEO-vs-SEO article cites GEO retainers for mid-sized businesses typically ranging from $5,000 to $20,000+ per month [50]. Third-party pricing pages exist but are described as unverified context [51]. No verified public list price, minimum engagement, or standard monthly retainer was located [36].
Post-acquisition clarity. Go Fish Digital was acquired by Agital in February 2024, and limited public information exists on service continuity, operational changes, or integration impact on GEO delivery [37]. Go Fish later consolidated with Exclusive Concepts and EK Creative under the Agital portfolio and launched the Barracuda AI suite [53].
Standalone product definition. One platform rated the fit uncertain specifically because it could not verify whether Go Fish's GEO service includes competitor-standard features such as llms.txt, dedicated AI citation monitoring, or evidence logs [41].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Which citation and authority-building capabilities does Go Fish Digital actually deliver for GEO buyers?
- How does Go Fish Digital measure AI citation performance across platforms?
| Capability | What the sources describe | Assessment |
|---|---|---|
| Citation analysis | Published content on how ChatGPT, Gemini, and Copilot decide what to cite; Barracuda AI Overview Analyzer and Semantic Content Audit | Advantage |
| Citation architecture | Semantic footprint expansion, fact density, structured data; extractability restructuring | Advantage |
| Third-party authority | Digital PR for brand citations on authoritative sources; earned media and backlink acquisition | Advantage |
| Source-layer visibility | Emphasis on entity presence, topic coverage, and authoritative third-party mentions | Advantage |
| Content strategy | Structured content, technical foundations, intent-rich strategy across search, chatbots, and voice | Advantage |
| Multi-platform measurement | Barracuda visibility insights across Google, ChatGPT, and other platforms; tracking of citations, carry-through, prompt coverage, and conversion contribution | Unclear — methodology not publicly specified |
| Outcome proof | Company case studies report AI traffic and conversion lifts; independent analysis finds lower confidence in repeatable AI recommendation outcomes | Limitation |
Go Fish states it measures success by tracking backlinks earned, growth in referring domains, and improvements in Domain Rating [54]. Those are authority proxies rather than direct AI-citation outcomes, and no published framework for measuring AI-attributed conversion, revenue, or pipeline was located [55].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Go Fish Digital cost per month for GEO and AI citation work?
- Are there setup fees, minimum terms, or cancellation fees in a Go Fish Digital GEO engagement?
Pricing is not publicly confirmed. Reported figures conflict across sources, and no verified public list price, minimum engagement, hourly rate, or standard monthly retainer was located [56].
| Source type | Reported figure | Citation |
|---|---|---|
| Independent review platform | Typical project costs $30,000–$200,000 | |
| Independent firm profile | Four-figure project rates to six-figure annual contracts | |
| Company article | GEO retainers for mid-sized businesses $5,000–$20,000+ per month | |
| Company article | Enterprise-level annual AI search engagements averaging around $100,000 | |
| Independent earned-media analysis | Digital PR retainer pricing from $3,000–$15,000 per month |
One platform reported a minimum project size of $5,000+ [57]. Another reported that Go Fish sells custom managed-services engagements [58]. Contract length, renewal, cancellation, notice period, ownership of deliverables, and exclusivity terms were not publicly disclosed in the reviewed sources [56].
Go Fish's published terms of service describe monthly billing based on posted website pricing or a signed order form indicating a flat monthly fee, with legacy usage-based and results-based billing structures also described (official:C2). Those terms reference Agital as the contracting entity and specify Massachusetts governing law, binding arbitration through the American Arbitration Association, and a $300 code-removal fee for certain services (official:C2). Buyers should confirm whether those legacy provisions apply to a GEO engagement, since the terms describe multiple service generations.
Likely cost components may include strategy, technical SEO implementation, content production, digital PR, media outreach, analytics, and platform or reporting work, but the applicable fee structure is unclear [56]. Whether Barracuda access is included in a retainer or licensed separately is not publicly established [59].
Best Suited For
Questions This Section Answers
- Who gets the most value from Go Fish Digital for AI citation and authority building?
- Is Go Fish Digital a good fit for enterprise brands that need GEO integrated with SEO and digital PR?
Go Fish Digital is best suited to established brands that want GEO integrated with enterprise SEO and content operations [60]. It fits brands seeking third-party mentions, digital PR, backlinks, and broader authority development [61], and organizations wanting a managed strategy across Google AI experiences, ChatGPT, Bing Copilot, Perplexity, and traditional search [63].
It also suits ecommerce and B2B brands requiring content restructuring for AI retrievability and semantic footprint expansion [64], and brands with existing strong SEO foundations seeking an AI-specific analytical layer and measurement framework [65]. Buyers who value an agency that publishes its own GEO analysis, tools, and case-study-style proof are a reasonable match [66].
Probably Not Best Suited For
Questions This Section Answers
- Who should not hire Go Fish Digital for AI citation and authority building?
- Is Go Fish Digital suitable for a buyer with a limited GEO budget?
Buyers seeking a low-cost self-service GEO tool or publicly posted package pricing are not a good match [68]. Teams requiring guaranteed citations, guaranteed recommendations, or independently audited AI-platform outcomes should look elsewhere — no agency can guarantee placement inside specific AI platforms, and no verification was found [69].
Buyers wanting a narrowly focused citation-monitoring vendor rather than a full-service agency are also a poor fit [70]. Small businesses with limited budgets are excluded by reported minimums and typical engagement ranges [71]. Organizations needing standalone AI citation measurement or monitoring dashboards without execution should not expect that packaging [70]. Brands prioritizing creator or influencer work as a standalone channel rather than integrated search-aligned strategy are also misaligned [72].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Go Fish Digital if the buyer needs transparent published GEO pricing?
- When should a buyer choose a GEO-only specialist instead of Go Fish Digital?
Consider a specialized AI-visibility monitoring platform when the primary need is self-service tracking of brand mentions, prompts, citations, and competitors [73]. Consider a specialist digital PR or reputation agency when the main objective is large-scale third-party coverage and earned-media authority rather than technical GEO [73].
Consider a conventional enterprise SEO agency when the buyer primarily needs site migrations, international SEO, or large-scale technical implementation and AI visibility is secondary [73]. Consider a vendor with transparent platform-by-platform reporting when procurement requires independently reproducible measurements across ChatGPT, Google AI features, Bing, Perplexity, and other systems [73].
One platform named specific alternatives with published terms: UPLIFY at $1,000/month with a 3-month minimum, ThinkProfits at $995/month with a $1,680 setup fee, Foundgrove at $2,500/month month-to-month with no setup fee, and Citeme with recurring measurement across nine engines [74]. Those figures are competitor-published and were not independently validated. Another platform suggested a performance-based operator for buyers wanting pay-for-placement media coverage optimized for AI indexing [78].
Questions to Verify Before Buying
Questions This Section Answers
-
What should a buyer confirm with Go Fish Digital before signing a GEO contract?
-
Which AI platforms and prompt sets will be included in Go Fish Digital's reporting scope?
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Which AI platforms, regions, languages, prompt sets, and buyer journeys are included in the proposed scope? [79]
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Will reporting show cited URLs, source domains, citation frequency, answer presence, recommendation share, sentiment, and competitor comparisons? [79]
-
How does the agency identify influential source layers and prioritize owned content versus reviews, publishers, directories, forums, partners, and digital PR? [79]
-
What portion of the work is technical SEO, content production, digital PR, link acquisition, reputation management, or proprietary tooling? [79]
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What independent or client-verifiable case evidence can be provided for AI citation and recommendation improvements? [79]
-
Are Barracuda or other tooling fees included, and who owns the underlying data, dashboards, content, outreach lists, and deliverables after termination? [79]
-
What are the minimum term, monthly fees, setup fees, cancellation notice, renewal provisions, and pass-through costs? [79]
-
How does the agency handle platform volatility, inaccessible responses, personalization, hallucinated citations, and changes to AI-search interfaces? [79]
-
What happened operationally post-Agital acquisition, and who is the dedicated GEO account lead? [80]
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Does the engagement include llms.txt, entity schema, Knowledge Graph submission, and AI-specific structured data? [81]
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What outcomes are explicitly not guaranteed? [79]
Final AI Consensus Verdict
Go Fish Digital is a good fit for GEO Agencies for AI Citation and Authority Building, with one platform calling it strong and one calling it uncertain. Five of seven platforms converged on "good."
The case for it rests on an explicit citation-architecture methodology — semantic footprint, fact density, structured data, and extractability — combined with digital PR for third-party authority and proprietary Barracuda tooling [82]. The case against treating it as a strong fit rests on unverified outcomes, undisclosed pricing and contract terms, and unclear platform-specific measurement methodology [85].
Buyers with substantial budgets, existing SEO foundations, and willingness to integrate GEO with digital PR and content strategy are the best match. Buyers needing GEO-only scope, published citation metrics, or sub-$30,000 engagements should compare alternatives first.
How This Review Was Produced
This review evaluates Go Fish Digital only for the GEO Agencies for AI Citation and Authority Building use case. It draws on structured fit-research responses from seven AI platforms, each of which assessed the entity against the same criteria: citation analysis, citation architecture, third-party authority, source-layer visibility, content strategy, digital PR or authority development, and multi-platform measurement.
Three of the seven platforms named Go Fish Digital during ranking discovery. All seven produced fit assessments. Platform-reported research dates were 2026-09-17 for six platforms and 2026-06-11 for deepseek. The authoritative study date is 2026-09-17.
This article sits within a broader consensus study; the full ranking and cross-entity comparison is available in the GEO Agencies for AI Citation and Authority Building index. Related agency profiles and category context are collected in the ai search geo agencies directory.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date. Deepseek's response is dated 2026-06-11, roughly three months earlier than the other six platforms, and its provenance record shows search was not enabled — its claims require explicit verification before being treated as current facts.
Company-owned citations materially outnumber independent citations in the supplied evidence. Go Fish Digital's own service pages, blog posts, and press releases account for the majority of cited material. Company claims are not independently verified and should not be read as such.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts.
Platform agreement on a description does not prove product quality or performance. Several platforms described Go Fish's methodology similarly because they retrieved similar company-authored material.
Pricing figures conflict across sources and none were confirmed by the vendor. Missing pricing data was not treated as disagreement among platforms.
No personal testing, customer experience, or independent verification of AI-citation outcomes was performed for this review.
Sources
Company-Owned Sources
- Generative Engine Optimization Strategist | Careers at Go Fish: https://ats.rippling.com/gofishdigital/jobs/53ce6155-52e3-49df-ae24-90d43740acbf
- Generative Engine Optimization Agency (GEO) | Foundgrove: https://foundgrove.com/services/geo
- Award-Winning Digital Marketing Agency - Go Fish Digital: https://gofishdigital.com/
- Barracuda Modules - Go Fish Digital: https://gofishdigital.com/barracuda-modules/
- Go Fish Digital Blog — AI and search content: https://gofishdigital.com/blog/
- 3 GEO Tools to Better Understand & Improve AI Search Performance: https://gofishdigital.com/blog/3-geo-tools/
- How ChatGPT, Gemini, and Copilot Decide What to Cite: https://gofishdigital.com/blog/ai-citation-sources/
- Generative Engine Optimization (GEO) Case Study: 3X'ing Leads: https://gofishdigital.com/blog/generative-engine-optimization-geo-case-study-driving-leads/
- Generative Engine Optimization Strategies (GEO) for 2026 - Go Fish Digital: https://gofishdigital.com/blog/generative-engine-optimization-strategies-geo-for-2026/
- Generative Engine Optimization Strategies (GEO) for 2026: https://gofishdigital.com/blog/generative-engine-optimization-strategies/
- GEO vs SEO: Differences, Similarities, and More - Go Fish Digital: https://gofishdigital.com/blog/geo-vs-seo-differences-similarities-and-more/
- Go Fish Digital Review 2026: AI Consensus Index: https://gofishdigital.com/blog/go-fish-digital-review-2026-ai-consensus-index/
- How to Audit Your Site for AI Search Readiness (GEO Audit Framework for 2026: https://gofishdigital.com/blog/how-to-audit-your-site-for-ai-search-readiness-geo-audit-framework-for-2026/
- How To Build Content That Ranks in AI Search in Minutes: https://gofishdigital.com/blog/how-to-rank-in-ai-search/
- The New Rules of AI Search: How PR and GEO Shape Visibility, Revenue, and Competitive Advantage: https://gofishdigital.com/blog/the-new-rules-of-ai-search-how-pr-and-geo-shape-visibility-revenue-and-competitive-advantage/
- What is Generative Engine Optimization (GEO)? Guide for 2025: https://gofishdigital.com/blog/what-is-generative-engine-optimization/
- Why E.C.H.O. Is the Foundation for Modern, AI-Driven Marketing - Go Fish Digital: https://gofishdigital.com/blog/why-e-c-h-o-is-the-foundation-for-modern-ai-driven-marketing/
- Winning AI Search in 2026: How Brands Actually Get Cited, Ranked: https://gofishdigital.com/blog/winning-ai-search-2026/
- Go Fish Digital — Digital PR services: https://gofishdigital.com/digital-pr/
- Go Fish Digital Unveils Unified Brand Identity and Barracuda AI Suite to Power Next-Gen Performance Marketing: https://gofishdigital.com/press-release/go-fish-digital-unveils-unified-brand-identity-and-barracuda-ai-suite-to-power-next-gen-performance-marketing/
- AI Search Executive Brief: https://gofishdigital.com/resources/whitepaper/ai-search-executive-brief/
- SEO and AI Search That Drives Growth: https://gofishdigital.com/seo-ai-search/
- AI SEO Services | Generative Engine Optimization (GEO) for Visibility: https://gofishdigital.com/services/generative-engine-optimization/
- Owned Media Services | Go Fish Digital: https://gofishdigital.com/services/owned/
- Generative Engine Optimization (GEO) Services: https://gofishdigital.com/services/owned/generative-engine-optimization/
- GEO Optimization - First AI citation in 90 days | Hub365: https://hub365.ai/ai-suite/geo-optimization
- Generative Engine Optimization (GEO) Services — Get Cited by AI | ThinkProfits: https://thinkprofits.com/aeo-services/geo/
- GEO Agency for AI Search: proof & measurement — UPLIFY: https://uplify.agency/en/generative-engine-optimization/
- The GEO agency that gets you cited by AI. | Citeme: https://www.citeme.io/services/geo-agency
- GEO Agency & GEO Services: one program, not four agencies | Geology: https://www.getgeology.com/services
- Generative Engine Optimization (GEO) Services | Siege Media: https://www.siegemedia.com/services/geo
- Cited: Win the answer, not just the link. | The GEO Agency: https://www.thegeoagency.co/
- Official pricing and terms source: https://gofishdigital.com/terms-of-service/
Additional AI research evidence87 records
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:2-4
- AI research evidence record perplexity:c8
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:6-1
- AI research evidence record grok:1
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:4-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:2-9
- AI research evidence record anthropic:6-3
- AI research evidence record google:2.1.2
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:10-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:9-10
- AI research evidence record anthropic:4-3
- AI research evidence record anthropic:11-3
- AI research evidence record google:3.2.9
- AI research evidence record openai:c3
- AI research evidence record anthropic:29-3
- AI research evidence record perplexity:c8
- AI research evidence record grok:3
- AI research evidence record anthropic:1-1
- AI research evidence record google:3.2.4
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:34-14
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.9
- AI research evidence record kimi:gofish_digital_site
- AI research evidence record anthropic:34-16
- AI research evidence record anthropic:34-15
- AI research evidence record anthropic:11-18
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:21-1
- AI research evidence record google:3.2.2
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:11-14
- AI research evidence record anthropic:34-16
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:21-1
- AI research evidence record google:1.1.9
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-3
- AI research evidence record anthropic:31-13
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:34-14
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c14
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-5
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:34-14
- AI research evidence record openai:c1
- AI research evidence record kimi:uplify_agency
- AI research evidence record kimi:thinkprofits_com
- AI research evidence record kimi:foundgrove_com
- AI research evidence record kimi:citeme_io
- AI research evidence record google:3.2.9
- AI research evidence record openai:c1
- AI research evidence record anthropic:34-14
- AI research evidence record kimi:gofish_digital_site
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:2-9
- AI research evidence record anthropic:4-3
- AI research evidence record anthropic:34-16
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
Independent Sources
- Generative Engine Optimization: How to Dominate AI Search: https://arxiv.org/abs/2509.08919
- Best Earned Media Platforms for AI Visibility in 2026 - AuthorityTech: https://authoritytech.io/blog/best-earned-media-platforms-ai-visibility
- Go Fish Digital: Details, Reviews, Pricing, & Features | CheckThat.ai: https://checkthat.ai/brands/go-fish-digital?subcategory_id=baba629c-2c13-4c8b-8f01-1998b9506d3a
- Go Fish Digital Reviews (13), Pricing, Services & Verified Ratings: https://clutch.co/profile/go-fish-digital
- Go Fish Digital Firm Profile 2026: Search-Engineering ORM | EPR: https://everything-pr.com/go-fish-digital-firm-profile
- 10 Best GEO Agencies for AI Startups in 2026 - GTM 8020: https://gtm8020.com/blog/best-geo-agencies-ai-startups
- Go Fish Digital Review 2026: AI Consensus Index | LLM Authority Index: https://llmauthorityindex.com/ai-search-agencies/go-fish-digital-review
- TOP 13 Generative Engine Optimization (GEO) Agencies in 2026: https://seoprofy.com/blog/generative-engine-optimization-agencies/
- 14 Best AEO Agencies in 2026 (Vetted & Ranked) - TripleDart: https://tripledart.com/blog/best-aeo-agencies
- Go Fish Digital Pricing: What It Costs in 2026: https://www.flinque.com/blog/go-fish-digital-pricing/
- Go Fish Digital Pricing Explained: Cost, Plans & Alternatives: https://www.flinque.com/go-fish-digital-pricing-cost-plans/
- Comparing Siege Media, Go Fish Digital & First Page Sage: Strengths, Weaknesses, and the GEO Market Vacuum: https://www.gen-optima.com/geo/comparing-siege-media-go-fish-digital-first-page-sage-strengths-weaknesses-and-the-geo-market-vacuum/
- Go Fish Digital: https://www.linkedin.com/company/go-fish-digital
Additional AI research evidence87 records
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:2-4
- AI research evidence record perplexity:c8
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:6-1
- AI research evidence record grok:1
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:4-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:2-9
- AI research evidence record anthropic:6-3
- AI research evidence record google:2.1.2
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:10-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:9-10
- AI research evidence record anthropic:4-3
- AI research evidence record anthropic:11-3
- AI research evidence record google:3.2.9
- AI research evidence record openai:c3
- AI research evidence record anthropic:29-3
- AI research evidence record perplexity:c8
- AI research evidence record grok:3
- AI research evidence record anthropic:1-1
- AI research evidence record google:3.2.4
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:34-14
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.9
- AI research evidence record kimi:gofish_digital_site
- AI research evidence record anthropic:34-16
- AI research evidence record anthropic:34-15
- AI research evidence record anthropic:11-18
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:21-1
- AI research evidence record google:3.2.2
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:11-14
- AI research evidence record anthropic:34-16
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:21-1
- AI research evidence record google:1.1.9
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-3
- AI research evidence record anthropic:31-13
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:34-14
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c14
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-5
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:34-14
- AI research evidence record openai:c1
- AI research evidence record kimi:uplify_agency
- AI research evidence record kimi:thinkprofits_com
- AI research evidence record kimi:foundgrove_com
- AI research evidence record kimi:citeme_io
- AI research evidence record google:3.2.9
- AI research evidence record openai:c1
- AI research evidence record anthropic:34-14
- AI research evidence record kimi:gofish_digital_site
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:2-9
- AI research evidence record anthropic:4-3
- AI research evidence record anthropic:34-16
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
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
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #3
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
13 independent · 33 company-owned
Evidence support
38 direct · 8 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 9b71d7bf56afafcd27b143be74049212e8fbd9661be29d950cd8566a628c5d5b