Head to head
First Page Sage vs iPullRank
iPullRank engineers AI-search visibility at the technical layer of page speed, edge caching, response codes and entity structure, the things that determine whether AI systems can even fetch and parse content, and backs it with named enterprise case studies (a $2.4B incremental-revenue outcome, a $290M eCommerce program, an American Express OPEN testimonial); First Page Sage builds visibility through earned reputation instead, using placement in ranked best-of lists, database inclusion, authority, reviews and sentiment in a published six-element methodology it has run since May 2023.
On this page
Both are professional-services agencies, not self-serve software, and both sell the same outcome of getting a brand cited by ChatGPT, Perplexity, Gemini and Google AI Overviews. Where they differ is the theory of how that citation actually gets earned. iPullRank, led by Mike King, argues the fight is largely won or lost at the technical layer: its "Relevance Engineering" framework treats page speed, edge caching, timeout alignment, Markdown delivery and even specific HTTP response codes as gatekeepers content must clear before an AI system will fetch it at all, let alone cite it. The agency calls that surviving the "fetch stage."
First Page Sage takes a different route. It dates its dedicated GEO offering to May 2023 (a claim it calls "the first ever GEO service", its own positioning, not independently verified) and runs a published six-element methodology built around earned signals rather than technical fixes: getting the brand into the ranked best-of lists and the databases/sources LLMs draw on, building website authority, managing online reviews, publicizing achievements, and monitoring social sentiment. Where iPullRank chases how content gets fetched and parsed, First Page Sage chases how the brand gets talked about elsewhere.
The client profiles differ accordingly. iPullRank operates at enterprise scale, citing case studies for a financial-services brand ($2.4 billion in incremental revenue that reportedly let it pause paid search spend), a global eCommerce marketplace ($290M from AI-generated category-page content), and an automotive publisher (130% traffic recovery after years of algorithm-driven decline), alongside a public testimonial from American Express OPEN. These are figures the agency itself reports rather than a third party audits. First Page Sage brings 15+ years of traditional SEO pedigree into its GEO practice and pitches itself to brands willing to invest in slower, earned-media-style levers (lists, reviews, sentiment) over months rather than a single technical engagement.
Neither publishes fixed pricing. Both run on custom, engagement-based retainers quoted per client. First Page Sage at least publishes a public "GEO cost breakdown" resource surveying typical costs by service tier; iPullRank routes every pricing question to a "Let's Talk" contact form with no rate information published anywhere. And both agencies' headline claims deserve the same skeptical read: iPullRank's case-study dollar figures are agency-reported, not independently audited, and First Page Sage's "first-ever GEO service" claim is the firm's own positioning rather than a verified fact.
How First Page Sage and iPullRank compare
Scroll across to compare every side. Feature names stay in view.One card per question, with every side answering it in turn.
| Feature | First Page SageVisit First Page Sage ↗ | iPullRankVisit iPullRank ↗ |
|---|---|---|
| Description | SEO and GEO agency producing and publishing client content to win AI recommendations. | AI Search and content marketing agency delivering GEO strategy, content engineering and measurement. |
| Pricing | - | from $15,000/month |
| API | YesNo public API. Service is delivered as a retainer engagement. | - |
| Tags | ||
| How they work | - | Retainer |
| Engagements from | - | Custom, scoped per client |
| Works with | - | Enterprise and mid-market brands in financial services, ecommerce and automotive |
| Based in | - | New York City |
| Team size | - | 11-50 employees |
| Independently reviewed on | - | FeaturedCustomers (4.8/5.0, 957 ratings) |
| Publishes to your site | Yes | Partly |
| Gemini | Yes | Partly (Observable Agentic RAG Audit (free spreadsheet template), other product line) |
| Google AI Mode | No | Yes |
| Claude | Yes | Partly (Emerging ($30K - $150K), entry paid tier) |
| Microsoft Copilot | No | - |
| Grok | No | - |
| DeepSeek | No | - |
| Meta AI | No | - |
| Names the cited sources | Partly | Partly (Growth ($150K - $500K) and Elite ($500K+), available higher) |
| Brand sentiment | Yes | Partly (Growth (Relevance Engineering Technical Assessment), available higher) |
| AI crawler analytics | No | Partly (currently degraded) |
| Wrong answers about you | Yes | - |
| Prompt or credit allowance | Partly | Partly (Emerging ($30K - $150K), entry paid tier) |
| Projects or brands | Yes | Partly (Elite ($500K+), available higher) |
| Countries | Partly | Partly (Elite ($500K+), available higher) |
| How often it checks | Partly | Yes |
| Limitations |
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Who each one is for
iPullRank
Enterprise and mid-market brands wanting expert AI Search strategy, not self-serve software
From $15,000/month
Verdict: First Page Sage or iPullRank?
Need technical, entity-level engineering work on a large, complex site (fetch-stage fixes, structured data, RAG-retrieval mechanics) backed by named enterprise case studies, and you have an enterprise budget to match → iPullRank. Want a longer-established SEO firm running an earned-media playbook (best-of-list placement, database inclusion, review and reputation management) and you're willing to invest in reputation signals over months rather than a single technical audit → First Page Sage.
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Frequently asked questions
- What's the main difference between iPullRank and First Page Sage?
- iPullRank's playbook is technical: its Relevance Engineering framework focuses on making content fetchable and parseable by AI systems (page speed, response codes, entity structure). First Page Sage's playbook is earned-media: a six-element methodology built around best-of-list placement, database inclusion, authority, reviews, achievements and sentiment.
- Which is better for a large enterprise site with complex technical problems?
- iPullRank. Its case studies target enterprise-scale technical and content problems (a financial-services brand, a global eCommerce marketplace, an automotive publisher), and its Relevance Engineering methodology is built specifically around fixing that class of fetch-stage/technical issue.
- Does either publish pricing?
- No. Both run custom, engagement-based retainers. First Page Sage publishes a separate public "GEO cost breakdown" resource surveying typical costs by service tier; iPullRank has no rate information published anywhere and routes all pricing questions to a contact form.
- How long has each run a dedicated GEO/AI-search practice?
- First Page Sage dates its GEO offering to May 2023, which it calls the first dedicated GEO service (a self-asserted, unverified claim). iPullRank does not publish a specific GEO-practice launch date; its Relevance Engineering research and case studies are a more recent extension of its longer-running technical-SEO and content-strategy work.
- Are the case studies and claims independently verified?
- No, for either agency. iPullRank's case-study revenue figures ($2.4B, $290M, 130% recovery) are agency-reported, not independently audited. First Page Sage's "first-ever GEO service" claim is the firm's own positioning. Treat both as agency marketing claims rather than third-party-verified facts.
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At a glance
iPullRank engineers AI-search visibility at the technical layer of page speed, edge caching, response codes and entity structure, the things that determine whether AI systems can even fetch and parse content, and backs it with named enterprise case studies (a $2.4B incremental-revenue outcome, a $290M eCommerce program, an American Express OPEN testimonial); First Page Sage builds visibility through earned reputation instead, using placement in ranked best-of lists, database inclusion, authority, reviews and sentiment in a published six-element methodology it has run since May 2023.