Answer Capsule
First Page Sage is a good fit for GEO audit buyers who want audit work embedded in an ongoing B2B SEO/GEO campaign with thought-leadership content, not a standalone diagnostic. Two of seven platforms named it during ranking discovery, at an average listed rank of 1.5 and a best rank of 1. The strongest reason to consider it is its Month One planning audit, which bundles SEO, GEO, and conversion audits with completed technical SEO work. The main limitation is that no standalone, fixed-price GEO audit with published pricing or a fully specified cross-platform measurement methodology was found in the reviewed materials.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (google, grok) |
| Share of included platform responses | 28.6% |
| Average listed rank | 1.5 |
| Best listed rank | 1 |
| Relevant product/model/plan | Custom B2B SEO & GEO Campaign, including Month One Planning Audit; Enterprise B2B GEO services with thought leadership focus |
| Overall use-case fit | Strong (1 platform); Good (5 platforms); Uncertain (1 platform) — 7 platforms analyzed |
| Research date | 2026-09-18 |
Why First Page Sage Qualified for This Study
Questions This Section Answers
- Is First Page Sage a good choice for GEO Audit Companies in the 2026 AI search market?
- How many AI platforms named First Page Sage during ranking discovery for GEO audit companies?
First Page Sage qualified because two of the seven included platforms named it during ranking discovery: google ranked it first and grok ranked it second, producing an average listed rank of 1.5 [1]. That is a 28.6% share of included platform responses, and it is the only qualification path recorded in the ranking statistics — the remaining five platforms evaluated fit but did not name the entity in the ranking stage.
The company also qualified on substance rather than name recognition alone. It states that it launched a GEO service on May 9, 2023, describing it as the first GEO service offering, and it published a six-element GEO framework covering authority content architecture, thought leadership, list placement, traditional SEO, PR, and verifiability [3]. Independent reviewers credit founder Evan Bailyn with coining "GEO" and running 11,128 commercial query studies, and note that his ranking-factor research is widely cited in GEO industry posts [6]. One independent enterprise-agency list notes that First Page Sage's published algorithm research delivers executive-ready proof for stakeholder buy-in [8].
That research profile matters for this use case because the buyer is commissioning an audit of how a brand is positioned for discovery, citation, and recommendation across generative systems. A provider with published methodology is easier to evaluate than one with none. It does not, however, establish audit quality — the same independent review set that credits the research also rates GEO execution at 4/10 [9].
The Product, Model, Plan, or Service Most Relevant to GEO Audit Companies
Questions This Section Answers
- Which First Page Sage plan should a buyer choose if they need a GEO audit rather than a full content retainer?
- Does First Page Sage sell a standalone GEO audit, or only a Month One Planning Audit inside a campaign?
The relevant offer is the Custom B2B SEO & GEO Campaign, which begins with a Month One Planning Audit, plus Enterprise B2B GEO services with a thought-leadership focus. All seven platforms converged on essentially this description, though the exact label "Custom B2B SEO & GEO Campaign" is a ranking-stage description rather than a published plan name — First Page Sage's public pages describe custom SEO/GEO campaigns and enterprise GEO services without using that exact product label [11].
Month one is planning, not production. Across vertical pages, the company describes three parallel audits — SEO, GEO, and conversion — plus completed technical SEO work before content begins [15]. The company states that site architecture, speed, and indexation are resolved in the first month rather than billed across the year [20]. By the time content starts, the stated goal is to know every search an engineer or buyer might run and what AI platforms currently believe about the company [21].
For a GEO audit buyer, the practical question is whether the audit can be bought alone. The reviewed evidence does not confirm that it can. One platform concluded that the firm "does not appear to productize a standalone 'GEO Audit' with fixed tiers or published pricing," and that the Month One Planning Audit is embedded in a broader retainer [14]. Another found standalone audit availability and pricing unverifiable from public sources [12]. Buyers should treat standalone availability as unconfirmed.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree First Page Sage includes in its GEO audit for B2B companies?
- Is First Page Sage's Month One Planning Audit consistently described across AI platforms?
Agreement was strong on structure and mixed on quality. Six of seven platforms described the same engagement shape: a planning-first month containing SEO, GEO, and conversion audits with technical SEO completed, followed by monthly content production [23].
Platforms also agreed on the content engine. The company uses in-house W2 writers, conducts weekly subject-matter-expert interviews, and maintains a knowledge base built from client documentation with product-claim checking [23]. Deliverable volume is consistently reported at six to seven items per month — seven when SEO and GEO are combined, six for GEO alone [32]. Client testimonials on an independent directory describe the writing as "genuinely good, not filler" and as reading "like something our own experts would have written" [35].
Platforms agreed on vertical coverage too: B2B SaaS, healthcare, financial services, fintech, manufacturing, HVAC, law, real estate, higher education, solar, and e-commerce [37]. Regulated verticals get compliance workflows established in month one, including attorney-advertising adherence and fintech claim verification [40].
Agreement on quality was weaker. Independent reviewers place First Page Sage in the enterprise/B2B thought-leadership GEO segment [42], but one 2026 review rates GEO execution at 4/10 and characterizes AI search capability as an extension of thought-leadership content rather than purpose-built citation engineering [45]. Another independent review says the firm "has some modern SEO capabilities but may not be fully specialized in GEO yet" [47]. Platform agreement on engagement structure is not evidence of audit quality.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether First Page Sage is a GEO audit specialist or a thought-leadership agency?
- How much does First Page Sage charge per month for GEO audit work, and why do the estimates conflict?
Pricing is the sharpest conflict. First Page Sage publishes tiered GEO pricing at $2,000–$3,000, $4,000–$7,000, and $10,000–$13,000 per month [48]. Third-party estimates place full-service retainers at $8,000–$20,000+ per month, with a $5,000+ project floor [51]. One platform noted the company describes industry tiers of $2,000–$12,000 per month without specifying its own rates [50]. Another found no published pricing at all on the pages checked [55]. These are not reconcilable from the supplied evidence; buyers should treat cost as unclear until quoted.
Contract length is also contested. Sources report 12–24 month minimums [56], 6–12 month minimums [57], and month-to-month terms with no annual lock-in on the SaaS service page [58]. One platform explicitly flagged the variance as unresolved [50]. Whether month-to-month applies beyond the described SaaS engagement is unconfirmed.
Review credibility is a third conflict. A self-hosted review site claims a 4.9/5 rating from 20+ enterprise client reviews, while Clutch showed zero verified reviews as of June 2026; independent reviewers flag the self-hosted site as a procurement credibility issue [59]. One platform described Clutch coverage as platform-reported rather than independently verified [61].
Measurement scope is a fourth gap. Independent sources state that the audit establishes a baseline AI platform standing but lacks a documented AI Visibility Score metric or citation-rate measurement framework, and that prompt tracking and platform-specific citation measurement are not included in the Month One audit [62]. One platform found no public evidence confirming prompt-level testing across AI engines [64]. Another noted the public materials do not fully define platform coverage, sampling methodology, refresh frequency, or attribution rules [58]. Community signals are a related gap: independent sources identify Reddit as a major citation source — 46.7% of Perplexity citations — and note that First Page Sage's framework does not appear to natively address Reddit or community engagement [65].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does First Page Sage's GEO audit cover citation architecture, competitor visibility, and source gaps?
- Which AI platforms does First Page Sage benchmark in its GEO audit, and is prompt-level testing included?
Against the seven audit criteria in this use case, the evidence is uneven.
First-party content — advantage. In-house writers, weekly SME interviews, documentation-based knowledge bases, and product-claim checking support content accuracy for complex B2B products [67]. GEO guidance emphasizes direct, concise, machine-readable answers and topical depth [69].
Third-party authority — neutral. The campaign includes original research intended to earn links and brand-authority PR on external sites, plus PR, review facilitation, directory optimization, and superlative list articles [67]. The company states that appearing in highly ranked list articles is the largest factor in which companies chatbots recommend, and that inclusion in established databases raises the likelihood of being suggested [71]. No guaranteed publisher placements, backlink quantities, or source-quality thresholds are published.
Citation architecture — mixed. The approach targets list placement, structured databases, highly ranked sources, and review signals [71]. Independent reviewers counter that this is thought-leadership extension rather than purpose-built citation engineering [73]. No formal citation-architecture schema is publicly specified [67].
Competitor visibility — advantage with caveats. Audits map AI beliefs about the client versus competitors and identify weak or outdated perceptions for correction [74]. A published GEO case study addressed competitor framing and category misclassification, reporting an increase in the percentage of tracked AI answers describing the client in the target category [75]. A standardized competitor matrix and reporting format are not publicly specified [67].
Source gaps — limitation. The audit covers baseline AI platform standing and citation gaps, but independent sources report no documented AI Visibility Score framework or formal citation failure mapping in the standard engagement [77].
Prompt opportunities — unclear. The company describes prompt audits and tracking brand reputation across AI platforms including ChatGPT [67]. No public evidence confirms prompt-level visibility testing with custom buyer-intent prompts across engines, and one platform found the methodology unpublished [80].
Practical GEO priorities — advantage. Month one covers technical SEO completion, compliance workflow setup, search mapping, and AI platform baseline, with a stated path from findings to prioritized content, technical, and authority execution [67].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does First Page Sage cost per month for a GEO audit engagement, and are there setup fees?
- What contract term should a buyer expect from First Page Sage for GEO audit work?
Pricing is partially public and materially contested. The clearest on-site figures are the three published GEO tiers: $2,000–$3,000, $4,000–$7,000, and $10,000–$13,000 per month [83]. Third-party estimates for full-service engagements run $8,000–$20,000+ per month, with a $5,000+ project floor attributed to Clutch [86]. One platform reported Tier 1 full-service packages starting at $12,000+ [89]. Another found no published pricing on the pages checked [90]. Pricing confidence across platforms ranged from low to moderate.
Contract terms conflict. Reported minimums include 12–24 months [91], 6–12 months [92], and month-to-month with no annual lock-in on the SaaS service page [93]. One platform noted third-party pages suggest higher-minimum or annual-style engagements but that this remains uncertain [94]. A 91% renewal rate is reported by one platform [91].
Additional fees are not established. No separately stated audit, implementation, media, PR, tool, or platform fees were found in the reviewed public materials, and third-party placement, data, travel, or production costs are unclear [93]. One platform noted custom pricing based on vertical compliance requirements and link-acquisition tiers quoted separately [96]. Possible setup or onboarding fees are suggested by third parties but unverified on the official site [83].
Ongoing costs likely include the continuing monthly campaign after the planning month, but the amount and scope are unclear [93]. Deliverable ownership, cancellation notice, minimum commitment, and transition terms are not publicly specified [93].
Best Suited For
Questions This Section Answers
- Who is First Page Sage best suited for among buyers seeking GEO audit companies?
- Is First Page Sage worth it for enterprise B2B companies with long sales cycles?
First Page Sage is best suited to B2B and enterprise companies with complex products, substantial first-party expertise, and willingness to fund ongoing authority and content work [98]. The strongest fit is buyers who want GEO integrated with SEO, conversion analysis, technical remediation, thought leadership, and lead-generation execution rather than a dashboard-only audit [98].
It also fits organizations that need founder-led research credibility for internal stakeholder buy-in, since the published algorithm research is described as executive-ready proof [101]. Regulated verticals — healthcare, financial services, fintech, law — benefit from compliance workflows established in month one [102].
Buyers with 6–12 month patience for GEO results and tolerance for annual-style contracts are the intended profile [105]. Enterprise client rosters including Salesforce, Logitech, SoFi, and US Bank are cited by one platform as validating scale capability [99].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose First Page Sage for a GEO audit engagement?
- Is First Page Sage a poor fit for early-stage companies needing fast GEO results?
Buyers needing only a one-time audit with no implementation engagement are a poor fit [107]. So are buyers requiring public, fixed GEO audit pricing or a standardized deliverables checklist [107].
Series A and early-stage companies with under 18 months of runway or board pressure for immediate channel attribution should look elsewhere [110]. The reported 6–12 month ramp to visible results conflicts with buyers who need rapid GEO measurement [111]. Buyers requiring month-to-month flexibility or results within 60–90 days are also mismatched [113].
Teams primarily seeking link volume, citation counts, dashboards, or paid-only AI visibility work are not the target profile [107]. Companies with under $1M in revenue or tactical quick-win objectives rather than compound authority building should not choose this provider [110]. Buyers wanting a cheap, instant, self-serve GEO audit tool or one-off report are explicitly out of scope [109].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to First Page Sage for a buyer who needs a fixed-price standalone GEO audit?
- When should a buyer choose a specialist GEO audit tool instead of First Page Sage?
Choose a specialist audit-only provider when the buyer needs a one-time diagnostic, standardized prompt testing, platform-by-platform scorecards, and no content retainer [114]. Fixed-price audit competitors are cited at $99–$999 one-time with 3–10 day turnaround, including GeoAudit Lab at $99–$249, GEORaiser at $97–$999, and GEO.solutions at $99–$290 [115].
Choose a technical SEO or entity-optimization specialist when the main need is structured data, crawlability, knowledge-graph consistency, or digital-entity remediation rather than thought leadership [114]. Choose a lower-cost boutique provider when budget, short deployment time, or transparent package pricing matters more than an integrated enterprise program [114].
Choose a broader communications or PR agency when third-party authority, media relations, and brand reputation dominate and GEO is secondary [114]. Choose a GEO-native agency when GEO must be the primary discipline rather than an SEO bundle [118]. Buyers needing documented AI visibility measurement alongside SEO should plan for that gap [119]. Buyers needing Reddit or community engagement integrated into the GEO plan should consider providers that address community consensus signals [120].
Questions to Verify Before Buying
- Will the engagement be sold as a standalone GEO audit, a month-one planning audit, or a mandatory ongoing campaign [122]?
- Which AI platforms, models, geographies, languages, prompts, personas, and competitor sets are included [122]?
- Will the deliverable explicitly document first-party content gaps, third-party source gaps, citation architecture, competitor visibility, prompt opportunities, and prioritized actions [122]?
- How are prompts sampled, refreshed, scored, and reproducibly reported over time [122]?
- What evidence sources distinguish model citations, brand mentions, recommendations, and referral traffic [122]?
- What exact month-one and recurring deliverables, staffing, review cycles, and implementation responsibilities are included [122]?
- What is the monthly fee, initial fee, minimum term, cancellation notice, renewal process, and treatment of unused work [126]?
- Are PR, link acquisition, analyst coverage, data tools, paid platforms, travel, or third-party production charged separately [122]?
- Who owns research, content, accounts, dashboards, datasets, prompts, and work product if the engagement ends [122]?
- What claims about AI visibility, pipeline, ROI, or time to results are based on independently verified customer data versus internal reporting [122]?
- Can the provider supply independent reference calls with GEO-only clients, not combined SEO/GEO clients [129]?
- Does the audit include Reddit or community engagement strategy, or is that excluded [130]?
Final AI Consensus Verdict
First Page Sage is a good fit for GEO audit buyers who are established B2B or enterprise organizations wanting audit work embedded in a combined SEO, GEO, thought-leadership, and authority program. Two of seven platforms named it during ranking discovery at an average listed rank of 1.5, and six of seven described the same planning-first engagement structure. Its strongest asset for this use case is the Month One Planning Audit, which bundles SEO, GEO, and conversion audits with completed technical SEO work before production begins.
The fit degrades for buyers wanting a standalone, fixed-price, independently validated GEO audit with a fully specified cross-platform measurement methodology. Pricing is contested across published tiers and third-party estimates, contract minimums range from month-to-month to 24 months depending on the source, and independent reviewers rate GEO execution at 4/10 while noting the absence of documented AI Visibility Score measurement, prompt-level citation tracking, and Reddit or community strategy. Company-owned citations materially outnumber independent ones in the reviewed evidence, and reported performance metrics are company-reported rather than independently verified.
How This Review Was Produced
This review was produced from seven AI platform responses collected for the GEO Audit Companies use case on 2026-09-18. Each platform evaluated First Page Sage's fit and supplied citations. Two platforms — google and grok — named the entity during ranking discovery; the remaining five evaluated fit without naming it in the ranking stage. Ranking statistics, fit ratings, pricing findings, and limitation disclosures were drawn from the supplied platform outputs and the citation catalog. No independent testing, customer interviews, or vendor contact was performed. All citations are platform-reported evidence rather than independently verified facts.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-18. DeepSeek's response carries a research date of 2026-02-14 and its search was disabled, so its claims are model-reported rather than retrieved. Platform-reported dates are provenance metadata and do not independently prove freshness.
The supplied URLs were collected from platform responses and were not independently validated at the writing stage. Company-owned citations materially outnumber independent citations in the reviewed evidence, so company claims should not be read as independently verified. Where platforms supplied no citation for a factual claim, that claim is labeled platform-reported or unverified.
Conflicting product names, pricing, and capabilities were not resolved by guessing. The exact label "Custom B2B SEO & GEO Campaign" is a ranking-stage description rather than a published plan name. Pricing conflicts between published tiers and third-party estimates remain unresolved. Contract-length conflicts between month-to-month, 6–12 month, and 12–24 month reports remain unresolved. Review-credibility conflicts between a self-hosted review site and zero verified Clutch reviews remain unresolved.
Platform agreement on engagement structure does not establish audit quality, and no claim here should be read as proving product performance, guaranteed rankings, citations, recommendations, or pipeline outcomes. Buyers should verify all pricing, contract terms, deliverable scope, and measurement methodology directly with the vendor before signing.
Explore more ai search audits market intelligence guidance in the category directory.
Sources
Company-Owned Sources
- First Page Sage — B2B SEO & GEO Services: https://firstpagesage.com/
- The #1 B2B SaaS SEO & GEO Agency – First Page Sage: https://firstpagesage.com/b2b-saas-seo-geo-agency/
- The #1 E-Commerce SEO & GEO Agency - First Page Sage: https://firstpagesage.com/ecommerce-seo-agency/
- The #1 Financial Services SEO & GEO Agency – First Page Sage: https://firstpagesage.com/financial-services-seo-geo-agency/
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- The #1 Higher Education SEO & GEO Agency - First Page Sage: https://firstpagesage.com/higher-education-seo-agency/
- The #1 HVAC SEO & GEO Agency – First Page Sage: https://firstpagesage.com/hvac-seo-geo-agency/
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- The #1 Manufacturing SEO & GEO Agency | First Page Sage: https://firstpagesage.com/manufacturing-seo-agency/
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- The #1 Real Estate SEO & GEO Agency: https://firstpagesage.com/real-estate-seo-geo-agency
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- The #1 Solar SEO & GEO Agency - First Page Sage: https://firstpagesage.com/solar-seo-agency/
- GEO Audit | Fixed-Price AI Visibility Audits From $99: https://generativeengineoptimization.solutions/geo-audit/
- GEO Audit Services — AI Search Visibility Audit: https://geoauditlab.com/
- AI Visibility Audit — Is AI Search Citing Your Website?: https://georaiser.com/geo-audit
Additional AI research evidence131 records
- AI research evidence record google:1.1.4
- AI research evidence record grok:web:1
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:31-5
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:19-11
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:29-7
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c14
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:6-1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:2-9
- AI research evidence record anthropic:7-7
- AI research evidence record anthropic:6-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:6-1
- AI research evidence record google:1.2.1
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:4-3
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:20-18
- AI research evidence record anthropic:20-19
- AI research evidence record anthropic:26-5
- AI research evidence record google:2.1.5
- AI research evidence record google:2.1.8
- AI research evidence record google:2.1.4
- AI research evidence record google:2.1.3
- AI research evidence record perplexity:c8
- AI research evidence record perplexity:c9
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:29-7
- AI research evidence record anthropic:14-10
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.7
- AI research evidence record grok:web:0
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-3
- AI research evidence record google:1.3.7
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-12
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:21-7
- AI research evidence record anthropic:21-8
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:33-6
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:32-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-7
- AI research evidence record openai:c2
- AI research evidence record grok:web:0
- AI research evidence record anthropic:24-7
- AI research evidence record anthropic:24-8
- AI research evidence record anthropic:1-1
- AI research evidence record grok:web:5
- AI research evidence record openai:c3
- AI research evidence record anthropic:6-5
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:33-6
- AI research evidence record google:1.1.4
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:2-9
- AI research evidence record anthropic:8-7
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.7
- AI research evidence record grok:web:0
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-3
- AI research evidence record google:1.3.7
- AI research evidence record perplexity:c10
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-12
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c13
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:10-1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:19-11
- AI research evidence record google:2.1.3
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:10-12
- AI research evidence record openai:c1
- AI research evidence record kimi:geoaudit-comparison
- AI research evidence record kimi:georaiser-comparison
- AI research evidence record kimi:geo-solutions-comparison
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:32-5
- AI research evidence record openai:c1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:10-12
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:32-5
Independent Sources
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- We Compare 7 First Page Sage Alternatives For B2B Lead Generation Success | Embarque: https://www.embarque.io/post/first-page-sage
- Top 7 First Page Sage Alternatives in 2026: Compared — GTM 8020: https://www.gtm8020.com/blog/first-page-sage-alternatives
- 6 Best GEO Agencies for Enterprise Brands (2026) - Onely: https://www.onely.com/blog/best-geo-agencies-for-enterprise-brands/
Additional AI research evidence131 records
- AI research evidence record google:1.1.4
- AI research evidence record grok:web:1
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:31-5
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:19-11
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:29-7
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c14
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:2-1
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- AI research evidence record anthropic:7-7
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- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:6-1
- AI research evidence record google:1.2.1
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- AI research evidence record perplexity:c6
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- AI research evidence record anthropic:3-15
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- AI research evidence record google:1.2.4
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- AI research evidence record anthropic:20-19
- AI research evidence record anthropic:26-5
- AI research evidence record google:2.1.5
- AI research evidence record google:2.1.8
- AI research evidence record google:2.1.4
- AI research evidence record google:2.1.3
- AI research evidence record perplexity:c8
- AI research evidence record perplexity:c9
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:29-7
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- AI research evidence record google:1.1.7
- AI research evidence record grok:web:0
- AI research evidence record anthropic:12-1
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- AI research evidence record anthropic:21-8
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- AI research evidence record anthropic:32-5
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- AI research evidence record anthropic:3-7
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- AI research evidence record anthropic:24-8
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- AI research evidence record kimi:fps-site-2026
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- AI research evidence record google:1.1.7
- AI research evidence record grok:web:0
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-3
- AI research evidence record google:1.3.7
- AI research evidence record perplexity:c10
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-12
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c1
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- AI research evidence record perplexity:c15
- AI research evidence record anthropic:10-1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:19-11
- AI research evidence record google:2.1.3
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:10-12
- AI research evidence record openai:c1
- AI research evidence record kimi:geoaudit-comparison
- AI research evidence record kimi:georaiser-comparison
- AI research evidence record kimi:geo-solutions-comparison
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:32-5
- AI research evidence record openai:c1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:10-12
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:32-5
Other Sources
- First Page Sage Review: Pricing, Lock-In, Alternative: https://fervorstudio.ca/compare/first-page-sage-vs-fervor-studio/
- First Page Sage: SEO & GEO agency that turns content into: https://surferstack.com/first-page-sage
- Frequently Asked Questions: https://www.ayrank.com/blog/ayrank-vs-first-page-sage
- Best GEO Agencies in 2026 (Ranked + Compared: https://www.ayrank.com/blog/best-geo-agencies-2026
- Yazeo vs First Page Sage: GEO Agency Comparison (2026: https://yazeo.com/yazeo-vs-first-page-sage
Additional AI research evidence131 records
- AI research evidence record google:1.1.4
- AI research evidence record grok:web:1
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:31-5
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:19-11
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:29-7
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c14
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:6-1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:2-9
- AI research evidence record anthropic:7-7
- AI research evidence record anthropic:6-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:6-1
- AI research evidence record google:1.2.1
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:4-3
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:20-18
- AI research evidence record anthropic:20-19
- AI research evidence record anthropic:26-5
- AI research evidence record google:2.1.5
- AI research evidence record google:2.1.8
- AI research evidence record google:2.1.4
- AI research evidence record google:2.1.3
- AI research evidence record perplexity:c8
- AI research evidence record perplexity:c9
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:29-7
- AI research evidence record anthropic:14-10
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.7
- AI research evidence record grok:web:0
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-3
- AI research evidence record google:1.3.7
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-12
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:21-7
- AI research evidence record anthropic:21-8
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:33-6
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:32-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-7
- AI research evidence record openai:c2
- AI research evidence record grok:web:0
- AI research evidence record anthropic:24-7
- AI research evidence record anthropic:24-8
- AI research evidence record anthropic:1-1
- AI research evidence record grok:web:5
- AI research evidence record openai:c3
- AI research evidence record anthropic:6-5
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:33-6
- AI research evidence record google:1.1.4
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:2-9
- AI research evidence record anthropic:8-7
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.7
- AI research evidence record grok:web:0
- AI research evidence record anthropic:12-1
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- AI research evidence record google:1.3.7
- AI research evidence record perplexity:c10
- AI research evidence record deepseek:c1
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- AI research evidence record anthropic:12-2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c13
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- AI research evidence record anthropic:10-1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:19-11
- AI research evidence record google:2.1.3
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:10-12
- AI research evidence record openai:c1
- AI research evidence record kimi:geoaudit-comparison
- AI research evidence record kimi:georaiser-comparison
- AI research evidence record kimi:geo-solutions-comparison
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:32-5
- AI research evidence record openai:c1
- AI research evidence record kimi:fps-site-2026
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:10-12
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:32-5
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 45
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #4
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
12 independent · 28 company-owned · 5 unclear
Evidence support
34 direct · 7 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 b4c8addfc8eec2f736a2edf2cad8bbf88a19529ed70ad51fb72336cbc392cec4