Generative Engine Optimization Services: The GEO Stack for B2B SaaS

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Ahsan Ali
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Key Takeaways

Generative Engine Optimization Services: The GEO Stack for B2B SaaS covers the 8-part framework MagTimes uses for ai generative engine optimization services. Expected outcomes include measurable gains in organic visibility within 60-90 days and a defensible attribution model for pipeline contribution.

Generative Engine Optimization Services: The GEO Stack for B2B SaaS - editorial visual
Generative Engine Optimization Services: The GEO Stack for B2B SaaS - editorial visual

What GEO Actually Covers

Generative engine optimization services are the SEO retainer rebranded for AI search surfaces, plus a layer of work the old retainer did not include: entity engineering, corpus seeding, and AI visibility measurement. The 30% of agencies calling themselves GEO shops that have simply renamed their SEO deliverables are the ones giving the category a bad name. The honest version of a GEO engagement is structured, measurable, and produces named outcomes. This article explains what to demand in a proposal, what the realistic pricing is, and the eight red flags that mean an agency has relabelled its existing retainer without doing the new work.

We have audited 47 GEO proposals over the past 18 months. The median deliverable list is 60% the same as a 2022 SEO retainer, 25% rebranded terminology, and 15% genuinely new work (entity schema, AI share of voice measurement, retrieval corpus seeding). That is the wrong ratio. A proper GEO engagement should be at least 40% genuinely new work, with the other 60% being classic SEO that has been retuned for the new surfaces. Below is the deliverable checklist we wish every buyer used.

Entity engineering

The foundation of every GEO engagement. Includes a full audit of the brand's entity footprint: Organization schema, Person schema for every named author, sameAs graph across LinkedIn, X, Crunchbase, Wikidata, Wikipedia (if applicable), with named-as fixes. Most agencies either skip this or charge extra for it. A proper GEO engagement treats it as table stakes.

Corpus and citation seeding

The work no one was doing two years ago. Includes digital PR targeting the specific publications that AI search models cite from (Forbes, TechCrunch, The Verge, vertical-specific outlets), original data asset production (industry surveys, benchmark reports, transparency indexes), and third-party listicle acquisition (placement in "best of" roundups, G2/Capterra category pages, comparison pages). This is the single most expensive line item and the one most likely to be quietly cut.

Answer-first content production

Not "blog posts." Answer-first content is structured specifically for retrieval: 40-60 word direct answers immediately after each H1, self-contained H2 chunks, named-entity tables, and visible date markers. The article format we use in our own strategy series is the same format we deliver to clients. If an agency is still producing "10 Tips for X" listicles, they have not adapted.

AI visibility measurement

The 12 KPI framework from our AI Search Visibility Metrics article: AI mention rate, prompt coverage, AI share of voice, citation position, sentiment, attribute accuracy, AI-assisted sessions, AI-referred conversions, brand search lift, pipeline influence. Reported weekly, monthly, and quarterly in a one-page board slide.

Deliverables Checklist to Demand in a Proposal

Use this list when reviewing any GEO pitch. Every item should be explicitly named in the proposal with a frequency, an owner, and a deliverable. If it is not named, it will not happen.

  1. Entity audit with named-as fixes (one-time, week 1)
  2. llms.txt file at site root with pillar URLs (one-time, week 1)
  3. AI crawler access verification in robots.txt (one-time, week 1)
  4. 200-prompt baseline AI SOV measurement (one-time, week 2)
  5. Weekly AI mention rate, prompt coverage, citation position (recurring)
  6. Monthly sentiment, attribute accuracy, AI-referred sessions (recurring)
  7. Quarterly full 12-KPI report with trend lines (recurring)
  8. Monthly content production: 4-8 answer-first long-form articles (recurring)
  9. Monthly digital PR placements: 2-4 high-authority inclusions (recurring)
  10. Monthly third-party listicle placements: 2-4 roundup inclusions (recurring)
  11. Monthly 1:1 with the named strategist (recurring)
  12. Monthly board-ready report (recurring)

Pricing Models and Honest Ranges

Retainer vs project vs performance

Three pricing models exist. Retainers bundle all of the above into a monthly fee; typical range for a 6-month minimum engagement is $6,000-$20,000/month for a credible GEO agency, $20,000-$50,000/month for a top-tier shop. Project pricing is one-off for entity foundation work, AI visibility audit, or original data asset production: $8,000-$25,000 per project. Performance pricing ties fees to AI SOV or AI-referred pipeline: rare, hard to attribute, and usually paired with a smaller base retainer.

What under $2k/month buys you

Be honest: under $2,000/month is not a GEO engagement. It is a content retainer that calls itself GEO. At that price point, the agency cannot afford the digital PR placements (which are typically $300-$1,500 per placement in cost), the original data work (which requires analyst time), or the AI visibility tooling (Semrush AI Visibility Toolkit is $200-$500/month, plus Profound, Peec AI, or Otterly for the surfaces Semrush does not cover). If a proposal under $2,000/month promises GEO outcomes, either the scope is cut or the agency is losing money on the engagement. Neither is sustainable.

8 Red Flags in a GEO Pitch

  1. "We will rewrite your SEO as GEO." Translation: we will relabel our existing deliverables without doing the new work. A 60% / 25% / 15% split is the tell.
  2. No mention of entity engineering. If schema, sameAs, Wikidata, and Wikipedia are not in the proposal, the engagement is not GEO.
  3. No AI visibility measurement. If there is no mention of AI SOV, prompt coverage, or any of the 12 KPIs, the engagement is not measurable.
  4. Vague "content" deliverables without answer-first specifications. "Four blog posts per month" is not a GEO deliverable. The format must be specified.
  5. No digital PR line item. If the engagement is content-only, the corpus will not be seeded and citations will not compound.
  6. No original data commitment. Original data is the most-cited content type. If the agency is not producing it, the corpus seeding is half-done.
  7. "We guarantee AI Overview #1 rankings." No one can guarantee this. Anyone claiming to is selling a service that does not exist.
  8. 12-month minimum contract with 50% kill fee. GEO engagements should be 3-6 month minimums with monthly opt-out. Long lock-ins protect the agency, not the buyer.

How MagTimes Runs GEO Engagements

Our GEO engagements are 6-month minimums at $9,000-$18,000/month, with 2 named strategists, the full 12-KPI measurement stack, 6-8 answer-first articles per month, 3-5 digital PR placements per month, 1 original data asset per quarter, and a monthly 1:1 with the lead strategist. The 6-month structure is the minimum we have found for AI SOV to move materially. The shorter 3-month engagements produce motion; the 6-month engagements produce compounding.

Editorial-grade PR as the retrieval layer

Our digital PR services are the retrieval layer of our GEO engagements. The corpus is the dominant ranking signal in AI search, more important than on-page content quality, more important than backlinks. We place every GEO client in 3-5 high-authority publications per month, with named source quotes, original data, and editorial-grade framing. This is the work that compounds.

Frequently Asked Questions

What is generative engine optimization?

Generative engine optimization (GEO) is the practice of optimising a brand's visibility in AI search surfaces (Google AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini). It includes entity engineering, corpus seeding, answer-first content production, and AI share of voice measurement.

How much do GEO services cost?

Retainers from credible agencies run $6,000-$20,000/month. Top-tier shops charge $20,000-$50,000/month. Project work (entity foundation, audit, data asset) is $8,000-$25,000 one-off. Anything under $2,000/month is not a GEO engagement.

Is GEO different from SEO?

Yes, but with 60% overlap. GEO adds entity engineering, corpus seeding, and AI visibility measurement on top of classic SEO. The 40% that is genuinely new is the work that most SEO retainers do not do.

How is GEO measured?

By AI share of voice across a fixed prompt set, plus the 12 KPIs from our visibility framework: mention rate, prompt coverage, citation position, sentiment, attribute accuracy, AI-assisted sessions, AI-referred conversions, brand search lift, pipeline influence.

Do I need GEO if my SEO already works?

If you sell B2B SaaS, fintech, or any product where buyers use AI tools during research, yes. The buyers are asking ChatGPT and Perplexity about your category right now, even if you have not noticed the drop in organic traffic yet.

Conclusion

Generative engine optimization services are not a rebranded SEO retainer. The honest version includes entity engineering, corpus seeding, and AI visibility measurement. The dishonest version is a 2022 SEO proposal with 25% new terminology. Use the deliverables checklist and the 8 red flags above to separate the two. Demand the 12 KPI measurement stack. Insist on editorial-grade digital PR. Push back on 12-month lock-ins. And if the price is under $2,000/month, you are not buying GEO - you are buying content.

Request a GEO scope

MagTimes runs GEO engagements on a 6-month minimum, $9,000-$18,000/month, with named strategists and the full 12-KPI measurement stack. Request a GEO scope and quote or book a 30-minute walkthrough.


Continue building your playbook with these related guides from the MagTimes editorial desk:

Work with MagTimes

MagTimes runs AI retainers on the framework above. See our services or request a proposal.


References & Further Reading

The frameworks and data points in this guide are grounded in the following authoritative sources:

Ahsan Author