Answer Capsule
First Page Sage is a good fit for companies that want AI search authority built through expert-authored thought leadership, SEO, GEO/AEO, PR, and third-party corroboration under one retainer. Five of seven platforms named it during ranking discovery, with an average listed rank of 6.0 and a best rank of 3. Its strongest asset is a published GEO framework that combines first-party content, list placements, reviews, directories, and authority statements. The main limitation is verification: current pricing, contract terms, and multi-platform citation measurement are not publicly documented, and most outcome evidence is company-reported.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 5 of 7 platforms (anthropic, deepseek, google, grok, perplexity) |
| Share of included platform responses | 71.4% |
| Average listed rank | 6.0 |
| Best listed rank | 3 |
| Relevant product/model/plan | Thought Leadership & LLM Optimization (LLMO) Retainer; GEO thought leadership services; SEO and AI visibility retainer; Thought Leadership and Authority Building Program with GEO Integration |
| Overall use-case fit | Strong (1 platform); Good (3 platforms); Mixed (2 platforms); Uncertain (1 platform) — 7 platforms analyzed |
| Research date | 2026-09-16 |
Why First Page Sage Qualified for This Study
Questions This Section Answers
- Why did multiple AI platforms recommend First Page Sage for AI search authority building agencies?
- Is First Page Sage a good choice for a B2B company that needs AI search authority building?
First Page Sage qualified because it was named by five of the seven platforms evaluated, and because its public service model maps directly onto the study's criteria: first-party content, third-party corroboration, publisher authority, source relationships, citation architecture, entity consistency, and measurement across AI platforms.
The company markets thought-leadership marketing, SEO, multichannel optimization, and AI chatbot citation or recommendation work [1]. Its current SEO service page describes audits, in-house content, client knowledge bases, six to seven monthly deliverables, AI visibility reporting, and month-to-month terms [2]. It also publishes a GEO cost breakdown covering list placements, superlative list articles, metrics articles, authority statements, validation pages, reviews, and directories [3].
Independent reviewers describe it as an established SEO and thought-leadership firm transitioning into GEO and AEO, evaluated against a standard $100,000 annual contract [4]. One independent review notes it launched GEO services in 2023 and built early credibility in the category [5].
Ranking placement varied: grok and anthropic listed it at rank 3, deepseek and perplexity at rank 7, and google at rank 10. That spread is itself a finding — platforms agree the agency belongs in the consideration set, but not on how high.
The Product, Model, Plan, or Service Most Relevant to AI Search Authority Building Agencies
Questions This Section Answers
- Which First Page Sage plan should a buyer choose for AI search authority building?
- Does First Page Sage offer a dedicated GEO or LLMO retainer separate from its SEO services?
The most relevant offering is the combined thought-leadership, SEO, and GEO/LLMO retainer model rather than a standalone citation-monitoring product. Platform-supplied product names include the Thought Leadership & LLM Optimization (LLMO) Retainer, GEO thought leadership services, the SEO and AI visibility retainer, and the Thought Leadership and Authority Building Program with GEO Integration.
A factual conflict matters here: the recommended product names supplied for ranking purposes are not all visible as exact standalone product names on the reviewed public pages. The closest verified offering is the combined SEO/GEO/AEO and thought-leadership service model [6]. Buyers should treat the plan names as directional and confirm the exact package in a scoped proposal.
What the public pages do describe is a service mix. The GEO cost breakdown describes service levels involving list placements, superlative list articles, metrics articles, authority statements, validation pages, reviews, and directories [8]. The thought-leadership service page describes content development, multichannel optimization, and external distribution [11]. The agency also lists GEO/AEO, agentic search optimization, and academic publishing and citations as specialties [12].
For buyers comparing this to a measurement-first GEO vendor, the distinction is structural: First Page Sage sells a managed content and authority program, not a citation-tracking platform.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree First Page Sage does well for AI search authority building?
- Is First Page Sage's thought-leadership content approach considered effective for AI citation and recommendation?
Agreement was strong on four points.
First-party expert content is the core mechanism. The agency describes in-house writers, weekly expert briefings, client-specific knowledge bases, fact-checking against client materials, and roughly six to seven monthly content deliverables [13]. Its thought-leadership page positions expert-driven material as content that earns traditional rankings and is what LLMs prefer to cite [14].
Third-party corroboration is part of the method. Public descriptions include placement in highly ranked list articles, verifiable awards, third-party reviews, PR placements, and directory authority [15]. The agency states that appearing in highly ranked list articles is the largest factor impacting which companies chatbots recommend [15].
Entity and answer structure get explicit attention. First Page Sage's GEO explanation discusses clear entity definitions, machine-readable answer structure, and content designed for retrieval and summarization [19]. Its agentic search page describes mapping what AI believes about clients, finding weak beliefs, and moving them to strong with coordinated on-site and off-site content [20].
Business outcomes are the reported north star. The agency says it reports leads, bookings, purchases, and pipeline before treating AI visibility, rankings, or traffic as supporting indicators [13]. Independent reviewers describe its clearest strengths as expert long-form content, original research, technical SEO, online authority, and conversion-focused organic growth [21].
Platforms also agreed on the buyer profile: complex products requiring sustained education and authority [22], and B2B or enterprise organizations rather than short-campaign buyers.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- What are the main weaknesses or uncertainties of First Page Sage for AI search authority building?
- Is First Page Sage's AI search measurement methodology independently verified?
Fit ratings diverged: grok rated it strong, openai, anthropic, and google rated it good, perplexity and deepseek rated it mixed, and kimi rated it uncertain. The disagreement centers on one question — whether this is an AI-search-native methodology or high-quality SEO aimed at AI surfaces. One independent review identified that as the central disagreement among reviewers [23].
Measurement is the biggest gap. No platform found public documentation of a standardized, platform-by-platform citation measurement framework. Deepseek reported that no verifiable public description of multi-platform citation tracking or share-of-answer reporting was found [24]. Kimi reported no public multi-engine AI visibility tracking with baseline-to-current reporting [25]. Perplexity reported the gathered sources do not clearly verify a public measurement framework [26]. This matters because independent research found only 11% domain overlap between ChatGPT and Perplexity citations, meaning single-platform measurement misses most of the picture [29].
Outcome evidence is thin and mostly company-reported. The agency reports an average 68% increase in client mentions in AI results, but the public page provides no independent audit, sampling design, or causal attribution [31]. One review found every reviewer identified the same evidence gap: strong traditional SEO results but limited public proof of client-level recommendation movement or AI-attributed commercial outcomes [32].
Pricing and contract terms conflict. Company pages claim month-to-month engagement [31], while third-party reviews cite 6–12 month minimums and some cite 12–24 months [33]. One independent review notes the agency does not publish its own rate card and that its site cost tiers are framed as an industry survey, not its own pricing [27].
Client experience is polarized. One review reports a 2.0/5 Flexable rating from 42 reviews reflecting polarized client experiences [36], and a 4/10 GEO capability score from a 2026 review [37]. Another reports a medical professional who invested $13,000 and discovered the blog was hosting content for unrelated third-party clients without clear disclosure [38]. Countering this, a client testimonial reports brand recommendations appearing on ChatGPT and Claude about five months in [39], and Glassdoor shows 4.3/5 across 76 ratings with 79% recommending the company [40].
Content velocity is intentionally low. At reported enterprise pricing, implied output is roughly 3–5 articles monthly [41]. Whether that suffices depends on category maturity and competitive density, and it was not independently verified.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does First Page Sage handle citation architecture and entity consistency for AI search?
- How does First Page Sage build third-party corroboration and publisher authority for AI recommendations?
| Buyer criterion | What the evidence shows | Assessment |
|---|---|---|
| First-party content | In-house writers, weekly expert briefings, client knowledge bases, fact-checking, 6–7 monthly deliverables | Advantage |
| Third-party corroboration | List articles, awards, reviews, PR placements, directories | Advantage |
| Publisher authority | Superlative list placements, directories, awards, consistent authority statements across PR and content | Advantage, scope unverified |
| Source relationships | Journalist relationships and media placement claimed; not documented as AI-source cultivation | Unclear |
| Citation architecture | Answer clarity, explicit entity definitions, machine-readable structure; no published schema or reference-framework spec | Directional only |
| Entity consistency | Brand Authority Statements repeated across PR; belief-mapping process | Directional only |
| Multi-platform measurement | Tracks recommendation share on ChatGPT, Claude, and Google AI Overviews using tools like Profound per one platform; other platforms found no public methodology | Conflicting |
The measurement row is the one to scrutinize. Grok reported the agency tracks recommendation share on ChatGPT, Claude, and Google AI Overviews using tools like Profound, with case studies reporting increases from 8% to 61% share [42]. Other platforms reviewing the same public footprint did not find that documented. This is a platform-reported claim that buyers should verify directly rather than assume.
The agency's published GEO framework covers authority content architecture, thought leadership, list placement, traditional SEO, PR, and verifiability [43]. Independent reviewers credit it with publishing a six-element GEO framework in 2023 that helped define the category [44].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does First Page Sage cost per month for an AI search authority building retainer?
- What contract length and cancellation terms apply to First Page Sage's GEO or LLMO retainer?
Pricing confidence is low across every platform. No verified current price for the recommended GEO or thought-leadership engagement was found on the reviewed pages [45].
What exists is a set of conflicting reference points:
- Company-published GEO cost breakdown tiers: $2,000–$3,000, $4,000–$7,000, and $10,000–$13,000 per month [48]. One platform notes this page is presented as a cost breakdown rather than a confirmed live rate card [48].
- Independent 2026 coverage repeatedly places the agency at roughly $8,000–$20,000+ per month [50].
- One independent source reports Full-Service GEO/AEO at $12,000+/month, enterprise retainers at $8,000–$20,000+/month, and consulting at $200–$300/hour [56].
- Older full-service SEO references include approximately $10,000–$15,000 per month, with some enterprise examples at $15,000–$25,000 per month [57].
- One source reports a $5,000+ minimum initial project investment [52].
Contract terms conflict directly. The current public SEO page states month-to-month engagement [45]. Third-party sources report 6–12 month minimums [58], 12–24 month contracts [60], and annual contract requirements [61]. One source states that if a buyer needs to change direction or pause spend before the commitment ends, they remain on the hook for remaining months [62]. Exact cancellation notice, onboarding fees, minimum spend, and rights to unpublished work are not published.
Additional fees are unclear. Paid publisher, list-placement, PR, review, directory, or media costs may be separate, and pass-through treatment is not documented [45]. One platform notes potential media or placement costs may be pass-through or added but this is not clearly confirmed [48].
Estimated first-six-months exposure at the independent range runs roughly $53,000 at the low end to $125,000+ at the full-service end [52]. Treat all figures as directional, not as a quote.
Best Suited For
Questions This Section Answers
- Who is First Page Sage best suited for in AI search authority building?
- What size and type of company gets the most value from First Page Sage's GEO retainer?
First Page Sage is best suited for B2B and complex-industry companies investing in durable first-party authority and qualified pipeline [63]. That includes enterprise B2B SaaS and technology companies, and organizations in healthcare, financial services, manufacturing, and technology that can absorb long minimums and sustain long-term brand positioning [64].
It fits organizations prepared to provide recurring subject-matter access and fund a premium, ongoing program [63]. Documented clients include Salesforce, Microsoft, Chanel, Logitech, Verizon, NerdWallet, SoFi, Credit Karma, and ZipRecruiter [66].
It also fits teams that want one agency combining technical SEO, expert content, conversion work, PR, and AI-search visibility rather than stitching together separate vendors [63]. Buyers who value published procedural transparency about how a GEO method works are a reasonable match, since the agency publishes framework and strategy material [68].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose First Page Sage for AI search authority building?
- Is First Page Sage a bad fit for startups or companies with limited marketing budgets?
Buyers seeking only low-cost citation monitoring, backlink volume, or a short paid-visibility campaign should look elsewhere [70]. So should companies requiring public, independently audited AI-search lift or fully disclosed fixed pricing before a sales process [70].
Startups and mid-market companies with limited marketing budgets are a poor fit given the reported $8,000–$20,000/month range [72]. Buyers needing month-to-month flexibility should also be cautious, since third-party sources report 6–12 month minimums with early-termination penalties [74].
Teams needing a narrowly technical AI-search measurement platform rather than a managed content and authority program are not the target buyer [70]. Companies outside B2B SaaS, enterprise tech, and select verticals may find the industry focus narrow [72]. Buyers requiring rapid AI Overview or ChatGPT placement should note the reported 6–12 month minimum timeline with no speed guarantee [72].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to First Page Sage for a buyer who needs documented multi-platform AI citation measurement?
- When should a buyer choose a PR or publisher-relations specialist instead of First Page Sage?
Choose a measurement-led GEO specialist when the primary requirement is independently documented prompt testing, citation attribution, share-of-answer tracking, and repeatable cross-platform dashboards [76]. This is the clearest substitution case, because platform fragmentation is severe — only 11% of sites are cited by both ChatGPT and Perplexity, and measuring one platform does not predict others [77].
Choose a PR, digital-authority, or publisher-relations specialist when the main gap is third-party editorial coverage and source relationships rather than owned content and SEO execution [76]. One platform specifically noted that no public documentation confirms structured digital PR or source-relationship programs designed for AI citation [79].
Choose an enterprise SEO or content agency with transparent procurement packages when fixed scope, public pricing, or large-scale international execution matters more than a managed custom model [76]. Buyers needing sub-$8,000 monthly spend or month-to-month flexibility should compare against lower-cost GEO providers [80].
Buyers who need only technical citation or schema architecture without content production may fit a specialist technical vendor better [82]. Buyers wanting a more technical, experimentation-heavy program rather than thought-leadership-led authority building should also compare alternatives [83].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with First Page Sage before signing a GEO or LLMO contract?
- Which deliverables and measurement commitments should be written into a First Page Sage proposal?
The verification list below consolidates the open items every platform flagged. None of these are answered by public materials.
- Which AI platforms, regions, models, and prompt categories are included in measurement, and how are citations, brand mentions, recommendations, sentiment, and source attribution defined and sampled? [84]
- Will the agency deliver a baseline and recurring report showing query-level changes, competitor comparisons, citations earned, and business outcomes? [84]
- What exact monthly deliverables are included: expert interviews, articles, research pieces, PR placements, third-party pages, technical work, and AI monitoring? [84]
- Are publisher placements, list inclusions, PR costs, review-management work, and directory updates included or billed separately? [84]
- What is the exact current monthly fee, onboarding fee, minimum term, cancellation notice, and early-termination penalty? [88]
- Who owns the content, research, accounts, data, dashboards, and relationships if the engagement ends? [84]
- Which reported case studies demonstrate measurable AI-search recommendation or citation gains in the buyer's industry? [86]
- How does the agency prevent unsupported claims, inconsistent entity data, duplicate content, or conflicts between first-party and third-party sources? [84]
- What safeguards prevent client content from being shared with other clients without clear disclosure, given the reported third-party hosting case? [92]
- What content production volume is typical at different price points, and how does velocity scale with budget? [93]
Final AI Consensus Verdict
First Page Sage is a good fit for companies that want AI search authority built through expert-authored thought leadership, integrated SEO and GEO/AEO execution, and third-party corroboration under one managed retainer. Five of seven platforms named it, and its published GEO framework directly addresses first-party content, list placements, reviews, directories, and authority statements.
It is not a strong fit for buyers whose primary requirement is independently documented, platform-by-platform citation measurement, rapid placement timelines, sub-$8,000 monthly budgets, or month-to-month contract flexibility. The evidence gap is consistent across platforms: strong traditional SEO results, limited public proof of client-level AI recommendation movement, and no published measurement methodology.
The practical path is a scoped proposal with a transparent measurement plan, named third-party authority deliverables, explicit commercial terms, and a controlled pilot before a long commitment. Buyers should also reference-check thoroughly, given polarized client experiences and reported contract lock-in.
How This Review Was Produced
This review evaluates First Page Sage only for the AI Search Authority Building Agencies use case. It draws on structured fit-research responses from seven AI platforms — anthropic, deepseek, google, grok, kimi, openai, and perplexity — each of which assessed the agency against the study criteria and supplied citations. Five of the seven named First Page Sage during ranking discovery.
Platform fit ratings were: grok strong; openai, anthropic, and google good; perplexity and deepseek mixed; kimi uncertain. No personal testing, customer interviews, or independent verification of company-reported results was performed. All citations are platform-reported evidence.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-16. Deepseek's response carries a research date of 2026-01-15, and deepseek ran with search disabled, meaning its findings rest on model knowledge rather than retrieved pages. That response should be weighted accordingly.
The supplied URLs were collected from platform responses and were not independently validated. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.
Most evidence about First Page Sage is company-owned. Independent validation of AI-search outcomes, citation share, and recommendation lift is limited. Public pages describe AI visibility across several platforms but do not disclose enough methodology to verify comparability over time.
Pricing and contract terms conflict across sources and are not resolved here. Historical pricing pages and current service pages describe different scopes and dates; no current quote should be inferred from older ranges. The recommended product names supplied for ranking purposes are not all visible as exact standalone product names on reviewed public pages.
Reported performance averages may not generalize to every industry, baseline, platform, or query set. GEO methodology is partly based on the agency's own research in an emerging field where industry standards remain unsettled. Platform agreement on inclusion does not prove product quality.
Explore more ai citation authority building guidance in the category directory.
Sources
Company-Owned Sources
- First Page Sage official website: https://firstpagesage.com/
- Agentic Search Optimization (Agentic GEO) Services: https://firstpagesage.com/agentic-search-optimization-services/
- GEO Case Study: Digital Verification Startup - First Page Sage: https://firstpagesage.com/fps-geo-case-study-digital-verification/
- GEO Case Study: New York Architecture Firm: https://firstpagesage.com/fps-seo-geo-case-study-architecture-firm/
- Generative Engine Optimization (GEO) Services: https://firstpagesage.com/generative-engine-optimization/
- Best SEO Company: https://firstpagesage.com/seo
- AI Search Optimization: Strategy and Best Practices for 2026 - First Page Sage: https://firstpagesage.com/seo-blog/ai-search-optimization-strategy-and-best-practices/
- Generative Engine Optimization (GEO) Cost Breakdown: https://firstpagesage.com/seo-blog/generative-engine-optimization-geo-cost-breakdown/
- Generative Engine Optimization (GEO): Explanation & Algorithm Breakdown: https://firstpagesage.com/seo-blog/generative-engine-optimization-geo-explanation-algorithm-breakdown/
- Generative Engine Optimization (GEO): Explanation & Algorithm Breakdown: https://firstpagesage.com/seo-blog/generative-engine-optimization-geo-explanation/
- Generative Engine Optimization (GEO) Strategy Guide: https://firstpagesage.com/seo-blog/generative-engine-optimization-geo-strategy-guide/
- SEO Management Cost: A 2025 Pricing Survey: https://firstpagesage.com/seo-blog/seo-management-cost-pricing-survey/
- The Generative Engine Optimization (GEO) Guide - First Page Sage: https://firstpagesage.com/seo-blog/the-generative-engine-optimization-geo-guide/
- The Top Generative Engine Optimization / AI Search Experts - First Page Sage: https://firstpagesage.com/seo-blog/the-top-generative-engine-optimization-ai-search-experts/
- The Top Generative Engine Optimization / AI Search Experts: https://firstpagesage.com/seo-blog/the-top-generative-engine-optimization-geo-ai-search-experts/
- The Top B2B SaaS SEO Agencies of 2026: https://firstpagesage.com/seo-blog/top-b2b-saas-seo-agencies/
- Thought Leadership Marketing: Our Services: https://firstpagesage.com/thought-leadership-marketing-services/
- GEO Agency for AI Search: proof & measurement — UPLIFY: https://uplify.agency/en/generative-engine-optimization/
Additional AI research evidence93 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record google:1.1.7
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record grok:web:6
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record google:1.1.6
- AI research evidence record openai:c2
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:6-4
- AI research evidence record anthropic:7-2
- AI research evidence record openai:c5
- AI research evidence record google:1.1.3
- AI research evidence record openai:c7
- AI research evidence record anthropic:8-4
- AI research evidence record anthropic:15-5
- AI research evidence record anthropic:15-9
- AI research evidence record anthropic:15-6
- AI research evidence record deepseek:c1
- AI research evidence record kimi:fps-1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c14
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:25-15
- AI research evidence record anthropic:28-7
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-7
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:33-2
- AI research evidence record grok:web:9
- AI research evidence record anthropic:12-6
- AI research evidence record anthropic:12-7
- AI research evidence record anthropic:33-10
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:23-8
- AI research evidence record anthropic:32-4
- AI research evidence record grok:web:1
- AI research evidence record anthropic:12-5
- AI research evidence record anthropic:12-4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:fps-1
- AI research evidence record perplexity:c1
- AI research evidence record grok:web:6
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:32-4
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record google:1.2.2
- AI research evidence record openai:c8
- AI research evidence record anthropic:32-2
- AI research evidence record perplexity:c4
- AI research evidence record grok:web:9
- AI research evidence record anthropic:12-8
- AI research evidence record anthropic:33-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:7-4
- AI research evidence record anthropic:12-1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:12-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-13
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:33-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:25-15
- AI research evidence record anthropic:28-7
- AI research evidence record kimi:fps-1
- AI research evidence record anthropic:4-1
- AI research evidence record grok:web:7
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:3-13
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:33-3
- AI research evidence record grok:web:9
- AI research evidence record anthropic:15-7
- AI research evidence record anthropic:33-10
- AI research evidence record anthropic:32-4
Independent Sources
- First Page Sage vs Omniscient Digital - CitedIndex: https://citedindex.com/compare/first-page-sage-vs-omniscient-digital
- The 7 Best First Page Sage Alternatives for B2B SaaS in 2026; Ranked by GEO Model, Not Just Price: https://derivatex.agency/blog/first-page-sage-alternatives/
- First Page Sage GEO Review 2026: Pricing and Value: https://fervorstudio.ca/compare/first-page-sage-vs-fervor-studio/
- First Page Sage Pricing: $8K to $20K/Month, Lock-In: https://fervorstudio.ca/first-page-sage-pricing/
- Top 10 GEO Agencies Compared (2026) | Foundgrove: https://foundgrove.com/blog/top-generative-engine-optimization-agencies-2026
- Best LLMO Agencies for B2B SaaS | Ranking 2026 - GrowPad: https://growpad.pro/best-ai-visibility-llmo-agencies-for-saas-brands/
- Top 7 First Page Sage Alternatives in 2026: Compared - GTM 8020: https://gtm8020.com/first-page-sage-alternatives-pricing-compared/
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- First Page Sage Review 2026: AI Search Verdict: https://llmauthorityindex.com/ai-search-agencies/first-page-sage-review
- First Page Sage Review 2026: AI Search Verdict | LLM Authority Index: https://llmauthorityindex.com/first-page-sage-review-2026-ai-search-verdict/
- 13 Best Answer Engine Optimization (AEO) Agencies In 2026: https://moosend.com/blog/best-aeo-agencies/
- Best AI SEO Agencies In The USA: Search Growth Guide: https://percepture.com/geo-insights/best-ai-seo-agencies-usa/
- 12 Best AEO Agencies for AI Visibility Tracking & Reporting 2026: https://piperocket.digital/list/best-aeo-agency/
- First Page Sage Reviews 2026: Glassdoor & Client Scores: https://piperocket.digital/review/first-page-sage-reviews/
- GEO Agency Pricing in 2026: What 20 Agencies: https://red-engage.com/blog/geo-agency-pricing
- 7 Best AI SEO Agencies in 2026 (Ranked by Proven Results: https://stridec.com/blog/best-ai-seo-agencies/
- First Page Sage: SEO & GEO agency that turns content into: https://surferstack.com/first-page-sage
- First Page Sage GEO Agency Review - Top GEO Agencies: https://topgeoagencies.net/agencies/first-page-sage
- First Page Sage Alternatives for AI Search Services: 2026 Complete Comparison: https://www.austinheaton.com/blog/first-page-sage-alternatives-for-ai-search
- AI Citation Tracking: How to Measure Citation Frequency Across ChatGPT, Perplexity, and Claude: https://www.averi.ai/blog/ai-citation-tracking-chatgpt-perplexity-claude
- Best LLMO Agencies in 2026 | AY Rank: https://www.ayrank.com/blog/best-llmo-agencies-2026
- Top Generative Engine Optimization (GEO) Agencies for Brands in AI Search: https://www.fieldtrip.agency/post/top-geo-agencies
- Top 7 First Page Sage Alternatives in 2026: Compared: https://www.gtm8020.com/blog/first-page-sage-alternatives
- 9 Best SEO Agencies in 2026 (Real Pricing and Reviews: https://www.miniloop.ai/blog/best-seo-agencies
- FirstPageSage Overview (2026) – Features, Pros, Cons & Pricing: https://www.salesforge.ai/directory/agencies/firstpagesage
- First Page Sage — Thought leadership SEO | VendorMotive: https://www.vendormotive.com/vendors/first-page-sage
- Yazeo vs First Page Sage: GEO Agency Comparison (2026: https://yazeo.com/yazeo-vs-first-page-sage
- 7 Best AI Search Optimization Services for B2B SaaS: https://yourcontentmart.co/best-ai-search-optimization-services/
Additional AI research evidence93 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record google:1.1.7
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record grok:web:6
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record google:1.1.6
- AI research evidence record openai:c2
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:6-4
- AI research evidence record anthropic:7-2
- AI research evidence record openai:c5
- AI research evidence record google:1.1.3
- AI research evidence record openai:c7
- AI research evidence record anthropic:8-4
- AI research evidence record anthropic:15-5
- AI research evidence record anthropic:15-9
- AI research evidence record anthropic:15-6
- AI research evidence record deepseek:c1
- AI research evidence record kimi:fps-1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c14
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:25-15
- AI research evidence record anthropic:28-7
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-7
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:33-2
- AI research evidence record grok:web:9
- AI research evidence record anthropic:12-6
- AI research evidence record anthropic:12-7
- AI research evidence record anthropic:33-10
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:23-8
- AI research evidence record anthropic:32-4
- AI research evidence record grok:web:1
- AI research evidence record anthropic:12-5
- AI research evidence record anthropic:12-4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:fps-1
- AI research evidence record perplexity:c1
- AI research evidence record grok:web:6
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:32-4
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record google:1.2.2
- AI research evidence record openai:c8
- AI research evidence record anthropic:32-2
- AI research evidence record perplexity:c4
- AI research evidence record grok:web:9
- AI research evidence record anthropic:12-8
- AI research evidence record anthropic:33-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:7-4
- AI research evidence record anthropic:12-1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:12-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-13
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:33-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:25-15
- AI research evidence record anthropic:28-7
- AI research evidence record kimi:fps-1
- AI research evidence record anthropic:4-1
- AI research evidence record grok:web:7
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:3-13
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:33-3
- AI research evidence record grok:web:9
- AI research evidence record anthropic:15-7
- AI research evidence record anthropic:33-10
- AI research evidence record anthropic:32-4
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 16, 2026
- Platforms analyzed
- 7
- Source records
- 47
- Ranking mentions
- 5 of 7
- Platform share
- 71%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
29 independent · 18 company-owned
Evidence support
15 direct · 13 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 ed98917363d3d2e14aaf174064c80f4b929fed4dc1872022877662bb8179dbef