Proposal

Software and SaaS buyers do not ask for "GEO" in a proposal. They ask for a cleaner website, better product pages, clearer sales materials, and more qualified opportunities from search, AI assistants, and comparison research. If the proposal only says "optimize for AI answers," procurement, founders, and RevOps teams will struggle to approve it.

A proposal-ready GEO package turns that vague objective into a scoped commercial offer. It defines which product facts will be cleaned up, which pages will be shipped, which structured data will be added, how acceptance will be judged, and what sales teams receive when the work moves into market.

This matters for software companies because the same page may need to serve four readers at once: a founder comparing vendors, a technical buyer checking integrations, a finance lead looking for commercial logic, and an AI answer engine summarizing the category. The package has to make the product easier to understand before it tries to make the brand easier to cite.

What a GEO package should sell

Sell a bounded improvement to buyer evidence, not a promise that a model will recommend the company. The research paper that introduced Generative Engine Optimization tested ways to improve visibility in generated answers, but it does not give vendors control over every AI system or every query. Treat GEO as a discipline for making public product information clearer, more attributable, and easier to retrieve.

For software and SaaS proposals, the commercial object should be one of these packages:

The proposal can combine packages, but each one needs its own deliverables and acceptance criteria. Otherwise GEO becomes a container for everything the website already needed.

Scope the work around buyer questions

Start with the questions that appear in real sales conversations, support tickets, CRM notes, demo forms, and product documentation gaps. Do not begin with a keyword list. For a software company, a useful GEO scope usually includes five buyer question groups:

This is where software GEO differs from generic content production. The work is not to publish a longer blog calendar. It is to make the buying committee's unanswered questions explicit enough that humans, search systems, and answer engines can quote the same facts.

Package 1: Product clarity

Use this package when the current website sounds like a pitch deck: ambitious, polished, and difficult to parse.

Scope

• Rewrite the core product narrative for one product, platform, or module.
• Define one primary ICP and up to two secondary ICPs.
• Map three to five high-intent use cases.
• Remove claims the sales team cannot prove in a demo or discovery call.

Deliverables

• Product positioning page with clear "what it is," "who it is for," "what it connects to," and "when it is not a fit" sections.
• Use-case page template, plus one fully written use-case page.
• Buyer FAQ with concise answers for implementation, users, support, integrations, and commercial process.
• Source-of-truth message sheet for sales, RevOps, and future content.

Acceptance criteria

• A first-time reader can identify the product category, target customer, primary workflow, and next step within the first screen.
• Every major claim has an owner: product, sales, customer success, legal, or leadership.
• The FAQ answers do not introduce facts that are missing from the visible page content.
• The page title, meta description, headings, and internal links use the same product vocabulary as the sales team.

Pricing logic

Price this package by product complexity, number of ICPs, stakeholder review rounds, and the amount of undocumented product knowledge that must be extracted from interviews. A single-module SaaS with existing sales notes is lower effort than a platform with multiple buyer roles, ambiguous category language, and no documented onboarding process.

Package 2: Evaluation evidence

Use this package when prospects ask the same due diligence questions after every demo.

Scope

• Convert recurring sales objections into public or sales-enabled evidence.
• Build pages that help technical, operations, and finance buyers evaluate risk.
• Add enough structure that each page can be summarized accurately outside the website.

Deliverables

• Integration hub with one page per priority integration.
• Implementation page with phases, responsibilities, timeline ranges, and client inputs.
• Security and data handling page written in plain English, with legal or technical review where required.
• Support and SLA explanation that distinguishes normal support, premium support, onboarding, and custom work.
• Comparison page template based on buying criteria rather than attack copy.

Acceptance criteria

• Sales can send the relevant page after a call without adding a long explanatory email.
• Each integration page names supported actions, setup prerequisites, data direction, and known exclusions.
• Security and support language has been reviewed by the person accountable for delivery.
• Comparison content is factual, dated where necessary, and avoids unverifiable claims about competitors.

Pricing logic

Price this package by evidence depth. The drivers are number of integrations, number of comparison pages, whether technical review is needed, whether security language already exists, and whether pages must support multiple languages. Avoid pricing by word count; the value is in reducing sales uncertainty, not producing volume.

Package 3: Category authority

Use this package when the company already has a clear offer but is not represented well in category-level research.

Scope

• Build a set of citeable educational assets around the company's category, use cases, and decision criteria.
• Separate neutral category education from product-specific selling.
• Create internal linking paths from educational pages into product and demo pages.

Deliverables

• Category explainer written for buyers, not peers.
• Glossary or concept hub for technical terms customers actually ask about.
• Three to six buyer-intent articles tied to use cases, implementation, migration, or evaluation.
• Editorial citation block showing which sources support which claims.
• Internal linking map from category content to product, services, case studies, and lead capture.

Acceptance criteria

• Each article answers one buyer question completely enough to stand alone.
• Claims about GEO, search, structured data, or platform behavior are linked to a credible source.
• Product mentions are contextual, not pasted into every section.
• The content has a next step for sales: demo, audit, integration review, implementation discussion, or procurement conversation.

Pricing logic

Price this package by the number of buyer questions, source research required, expert review time, and production cadence. A narrow vertical with five strong internal subject-matter experts can move quickly. A broad horizontal platform with weak differentiation needs more discovery before content production starts.

Package 4: RevOps enablement

Use this package when the website is generating interest but the company cannot tell which GEO assets influence pipeline quality.

Scope

• Connect new pages and CTAs to CRM fields, lead routing, sales follow-up, and reporting.
• Define how Sales should use the assets before and after a demo.
• Make the content measurable without pretending attribution will be perfect.

Deliverables

• CTA map for each new page: audit, demo, integration review, pricing conversation, procurement call, or technical consultation.
• CRM field recommendations for source page, topic, product interest, buyer role, company size, integration need, and urgency.
• Sales follow-up snippets tied to the content a prospect viewed or requested.
• RevOps reporting brief covering assisted pipeline, conversion rate by asset, demo quality, and objection reduction.
• Handoff workshop with Sales, RevOps, and delivery owners.

Acceptance criteria

• Every page has one primary CTA and one fallback CTA.
• Form fields collect only information Sales will use.
• Lead routing rules distinguish product interest from general content engagement.
• Sales has approved the follow-up language and knows when to use each asset.

Pricing logic

Price this package by CRM complexity, number of forms and routes, reporting requirements, and sales enablement depth. If the client has a clean CRM and a clear sales process, the work is lighter. If lifecycle stages, owner rules, or source tracking are inconsistent, include RevOps cleanup as a separate line item.

The minimum viable proposal

A lean proposal should still be specific. Use this structure:

This format also protects the agency or internal marketing team. When a founder later asks for "just one more comparison page" or "a quick CRM update," the proposal already explains whether that request is part of the package.

What structured data belongs in the package

Structured data should support the visible content, not replace it. Google's structured data documentation says structured data gives explicit clues about page meaning, and its guidelines warn against markup that is misleading or disconnected from visible content. For software companies, the practical package usually includes:

• SoftwareApplication markup on product pages when the page describes a real software product.
• Offer or pricing-related markup only when the visible page contains consistent commercial information.
• Organization, BreadcrumbList, and Article markup where relevant to the site's existing schema pattern.
• Clean canonical URLs, descriptive titles, crawlable navigation, and indexable pages.

A software product page might include a conservative JSON-LD block like this:

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "ExampleOps Platform",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web",
  "description": "A workflow platform for operations teams that manage approval, reporting, and handoff processes.",
  "url": "https://example.com/product",
  "offers": {
    "@type": "Offer",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "url": "https://example.com/pricing"
  }
}

Only include properties the client can keep accurate. If pricing is custom, the visible pricing page can explain packaging variables instead of inventing public numbers for markup.

Handoff to Sales and RevOps

The package is not finished when pages are published. It is finished when Sales and RevOps can use the work without asking Marketing to explain it every time.

The handoff should include:

• A page inventory with URL, buyer question, funnel stage, CTA, owner, and update cadence.
• A sales-use guide explaining when to send each page before or after a call.
• Objection-to-asset mapping, such as "integration uncertainty" to the integration hub or "procurement concern" to the implementation and pricing logic page.
• CRM field updates and routing notes for leads generated by the new pages.
• Reporting definitions for content-assisted opportunities, demo conversion, opportunity source, and sales-cycle friction.

For Paraguay-based software and SaaS teams selling regionally or internationally, add one more handoff item: operating context. If the company serves clients across Paraguay, Brazil, Argentina, Chile, or the United States, Sales needs approved language for time zones, languages, support coverage, contract process, invoicing, and implementation availability. Keep those statements factual and reviewed by the people who own delivery.

Proposal language you can reuse

Use language like this in the commercial document:

This package will turn the client's product, integration, implementation, support, and commercial information into a set of buyer-ready web assets designed for human evaluation and AI-assisted research. The work includes content strategy, page production, structured data recommendations, acceptance review, and Sales/RevOps handoff. It does not guarantee inclusion in any specific AI answer engine, but it improves the clarity, consistency, and retrievability of the public product evidence those systems may reference.

That paragraph sets the right expectation. The client is buying a stronger evidence layer for software sales, not a shortcut around product-market clarity.

Sources

• GEO: Generative Engine Optimization - Used for the definition of GEO as an emerging approach to improving visibility in generated answers, with conservative language about what the paper does and does not prove for commercial proposals.
• Google Search Central: Introduction to structured data - Used for the point that structured data gives search systems explicit clues about page meaning and that JSON-LD is a recommended format.
• Google Search Central: General structured data guidelines - Used for the caution that structured data should match visible page content and does not guarantee rich-result display.
• Schema.org: SoftwareApplication - Used for the software product markup example.
• Schema.org: Offer - Used for the commercial offer markup example.

For a broader next step, read Turning AI visibility into leads for software and SaaS to connect these assets to demand capture. If you sell into regulated categories as well as software, compare the stricter evidence requirements in Proposal-ready GEO packages for banking and financial services.