Audit package
A focused audit is best when the brand has impressions but few clicks or citations. It should produce a scorecard, Search Console query clusters, prompt tests, technical findings, priority pages, and a 30-day fix list.
Pricing research
AEO and GEO pricing models: what packages should include in 2026.
AEO and GEO pricing should not be sold as a vague content add-on. A useful package has four parts: audit the current visibility layer, monitor prompt and citation movement, upgrade the pages most likely to be cited, and build enough proof that AI systems can describe the brand accurately.
UpdatedSeptember 1, 2026
Best forCMOs / founders / agencies
Use whenBudgeting SEO + AEO + GEO
Direct answer
What are typical pricing models for GEO and AEO agencies?
Most serious AEO and GEO work fits one of four pricing models: a fixed diagnostic audit, a short implementation sprint, a monthly visibility retainer, or an enterprise program that includes monitoring, content, PR, analytics, and governance. The right model depends on how many markets, services, product lines, prompts, competitors, and AI search surfaces the brand needs to monitor.
Implementation sprint
A sprint is best when the audit is already clear. The agency rewrites or expands high-intent pages, adds schema, creates comparison sections, strengthens evidence, and routes visitors to the right offer.
Monthly retainer
A retainer is best when AI visibility is a live channel. It should include monthly prompt tracking, citation review, competitor comparison, content refreshes, proof building, and conversion reporting.
Enterprise program
Enterprise pricing is usually custom because it can include multiple brands, regions, legal review, analytics integration, workflow approvals, PR, ecommerce feeds, and executive reporting.
White-label agency layer
For agencies serving clients, pricing often needs dashboards, client-ready reports, audit templates, prompt libraries, and repeatable delivery playbooks.
Tool-only monitoring
Tool subscriptions are useful, but they are instrumentation. They do not replace strategy, content upgrades, technical fixes, source authority, or offer clarity.
Market benchmarks
Published AI visibility tool prices show the monitoring floor, not the full execution cost.
Public AI visibility software pricing helps set a floor for monitoring. It does not include strategic diagnosis, content creation, technical implementation, reporting interpretation, or proof development.
| Provider or package | Publicly visible 2026 benchmark | What it tells a buyer | Riseklix interpretation |
|---|---|---|---|
| Semrush AI Visibility | Base AI Visibility pricing is listed at $99/mo per domain when billed annually, with custom prompt tracking limits and add-ons for more prompts or domains. | Entry-level monitoring now sits inside mainstream SEO stacks. | A brand with only 25 prompts can watch a narrow slice of the market, but it still needs a page-upgrade plan. |
| Profound | Starter is listed at $99/month; Growth at $399/month with more answer engines and prompt capacity; Enterprise is custom. | Specialist AI visibility platforms are packaging prompt, citation, and answer-engine tracking as a standalone category. | The commercial question is not whether the tool sees mentions; it is whether the team knows what to change next. |
| Otterly.AI | Lite is listed at $29/month for 15 prompts, Standard at $189/month for 100 prompts, Premium at $489/month for 400 prompts, and Enterprise from $1,000/month. | The prompt count quickly becomes a budget variable as teams track more services, competitors, locations, and buying stages. | A 15-prompt plan is enough for a signal check. It is not enough for a full market view. |
| Peec AI | Public pricing pages show prompt-based tiers such as 50, 150, and 350 prompts with daily tracking and multiple AI models depending on plan. | AEO/GEO pricing is increasingly tied to prompts, models, projects, markets, and reporting integrations. | Prompt volume should be designed from revenue questions, not from whatever the plan happens to include. |
| Bing Webmaster Tools AI Performance | Bing reports AI citations, cited pages, grounding queries, page-level citation activity, visibility trends, citation share, topics, and intents. | Some citation analytics are becoming native to webmaster platforms. | Native reports should be part of every audit because they reduce dependence on third-party estimates. |
| Google Search Console generative AI features | Google provides performance reporting for generative AI features in Search, including AI Overviews and AI Mode views. | AI visibility is becoming visible inside official search reporting, but it still needs interpretation. | Use Google data to prioritize pages already earning impressions, then build the missing answer layer. |
Original framework
The Riseklix 4-layer AEO/GEO budget model.
The cleanest way to budget AEO and GEO is to separate measurement from improvement. A tool tells you where you stand. The work that changes the result is a mix of technical access, answer-ready content, evidence, authority, and conversion routing.
- 01Layer 1: Diagnostic audit. Review crawlability, indexation, structured data, canonical URLs, Search Console queries, AI prompt presence, cited sources, and competitor visibility. For most small to mid-market brands, this is a 10 to 25 hour project.
- 02Layer 2: Content and entity sprint. Upgrade the pages already closest to demand: homepage, services, category pages, pricing pages, comparison pages, case studies, and resource hubs. A serious sprint is often 40 to 90 hours because it includes research, writing, schema, internal links, and QA.
- 03Layer 3: Monitoring rhythm. Track prompt coverage, cited URLs, answer accuracy, citation share, competitor mentions, branded sentiment, and Search Console movement. A lean monthly rhythm is 5 to 20 hours depending on prompt count and reporting depth.
- 04Layer 4: Authority and proof building. Publish original frameworks, case evidence, founder perspectives, statistics, industry pages, and third-party references. This can be 10 to 40 hours per month when the goal is category-level visibility, not one-off rankings.
- 05Budget rule. Do not spend 80% of the budget on monitoring. Monitoring without page upgrades gives you a dashboard for a problem you have not fixed.
Package design
What should an AEO/GEO package include?
A strong package should be concrete enough that a buyer knows exactly what they receive, but flexible enough to adapt to AI search volatility.
| Package | Best fit | Core deliverables | What to avoid |
|---|---|---|---|
| AI visibility audit | Brands that have impressions, weak CTR, missing citations, or unclear AI descriptions. | Scorecard, crawler review, Search Console clusters, prompt tests, cited-source review, competitor gaps, priority URL map, 30-day backlog. | A PDF full of generic SEO advice with no prompt data and no page-level next steps. |
| AEO/GEO content sprint | Brands with clear target pages and weak answer depth. | Rewritten page sections, direct answer blocks, FAQs, comparison tables, proof modules, internal links, schema, and indexing checklist. | Charging by word count while ignoring whether the page can actually answer buyer questions. |
| AI visibility retainer | Brands competing in changing categories, multiple markets, or long sales cycles. | Monthly prompt tracking, citation review, share-of-voice comparison, content refreshes, competitor monitoring, reporting, and backlog execution. | Treating every prompt equally instead of weighting commercial intent. |
| Category authority program | Teams that want to own a category such as AI visibility, LinkedIn authority, security services, or ecommerce product readiness. | Pillar resources, data-led thought leadership, case studies, expert pages, PR targets, partner proof, and executive narrative. | Publishing disconnected articles with no internal linking or conversion route. |
| Agency white-label system | SEO/content agencies offering AI visibility audits to clients. | Reusable prompt library, audit template, dashboard structure, service scope, delivery calendar, QA checklist, and client-ready insights. | Selling AI visibility before the team has a repeatable measurement method. |
Buying guidance
Questions to ask before buying an AI visibility audit or AEO/GEO package.
The buyer should test whether the provider understands search fundamentals, AI answer behavior, data limits, and commercial routing. Any provider promising guaranteed citations should be treated carefully because official search guidance still emphasizes quality, crawlability, eligibility, and user value over shortcuts.
- 01Which prompts will be tracked, and why do those prompts represent buyer demand?
- 02Which AI search surfaces are included: Google AI Overviews, AI Mode, ChatGPT Search, Perplexity, Microsoft Copilot, Bing summaries, or another surface?
- 03Will reporting show cited URLs, competitor citations, answer accuracy, sentiment, and commercial-intent coverage?
- 04How will Search Console generative AI data and standard search data be used together?
- 05Which pages will be upgraded first, and what specific sections will be added?
- 06Will the work include schema, internal links, canonical checks, and crawler access review?
- 07How often will the team refresh source-heavy pages as numbers, pricing, and platform guidance change?
- 08How will the package measure pipeline quality, not just impressions or mentions?
Riseklix conclusion
Do not price AEO and GEO by word count.
Word count is a weak pricing unit for AI visibility because the work is not merely writing. The durable value is reducing answer ambiguity. A page earns more visibility when it gives search and AI systems the facts, comparisons, evidence, and next steps needed to explain the brand correctly.
Cheap but weak
A low-cost article package can add pages, but it often misses original data, service context, structured evidence, buyer questions, and internal links. That creates crawlable clutter.
Expensive but useful
A strong package upgrades the pages that already sit near demand, turns scattered claims into answer-ready evidence, and gives the team a way to monitor movement over time.
Best commercial unit
Price around decision-risk removed: clearer service choice, stronger trust, fewer unanswered buyer objections, more accurate AI descriptions, and cleaner conversion routes.
Budget bands
How to think about AEO/GEO spend by company stage.
These are not universal prices. They are practical budget bands for planning the scope of work. The key is to match spend to market complexity: number of offers, pages, regions, competitors, and prompts.
| Company stage | Typical visibility problem | Minimum useful scope | What success looks like |
|---|---|---|---|
| Founder-led service business | The brand has a few branded searches, weak non-branded clicks, and unclear service pages. | One audit, homepage rewrite, service page expansion, two resources, schema cleanup, and 25 to 40 monitored prompts. | The brand becomes easier to describe, appears for more comparison/checklist prompts, and routes visitors to a consultation. |
| Growing agency or consultant | The team has expertise but no durable answer-layer assets that explain the method, pricing, or deliverables. | Audit, comparison page, pricing/package page, reporting page, case-study refresh, and 40 to 75 monitored prompts. | More long-tail impressions, more accurate AI descriptions, and better sales conversations from educated buyers. |
| Multi-service B2B company | Different services, personas, and verticals blur together, so AI systems summarize the company too generically. | Entity cleanup, service architecture, industry pages, proof library, monthly reporting, and 75 to 150 monitored prompts. | AI answers can match the right service to the right buyer problem without flattening the offer. |
| Ecommerce or product company | Products are visible but lack extractable specs, comparisons, policies, and buying context. | Product-content audit, schema review, category guides, comparison pages, review proof, feed cleanup, and product prompt monitoring. | AI systems can compare the product, understand availability and policies, and send better-qualified shopping traffic. |
| Enterprise or multi-market brand | Multiple regions, brands, legal requirements, teams, and channels create reporting and governance complexity. | Custom dashboard, executive reporting, approval workflows, prompt governance, PR/source strategy, and cross-market content operations. | Leadership sees market-level visibility, teams ship coordinated updates, and answers become more accurate across surfaces. |
Red flags
What not to buy when someone sells AEO or GEO.
The fastest way to waste money is to buy a shiny label without a measurement method. AEO and GEO work should produce pages, prompts, evidence, and reporting you can inspect.
Guaranteed citations
No agency can guarantee that a third-party AI system will cite a page on demand. The honest promise is better eligibility, clarity, evidence, and monitoring.
Thin FAQ bundles
FAQ sections are useful only when the answers are specific, sourced, and tied to the page. Bulk generic FAQs are easy to publish and easy to ignore.
Tool screenshots only
A report with screenshots but no page-level action map does not improve visibility. The deliverable should say what to fix, where, and why.
Sources
Research sources used for this pricing guide.
Pricing changes quickly, so buyers should verify live vendor pages before purchasing. The strategic framework above is Riseklix analysis built from current search guidance, crawler documentation, official AI visibility reporting, and public AI visibility software packaging.
Google AI optimization guide ↗Google helpful content guidance ↗OpenAI crawler documentation ↗Perplexity crawler documentation ↗Bing AI Performance in Webmaster Tools ↗Bing AI Visibility Insights ↗Profound pricing ↗Semrush AI Visibility pricing ↗Semrush AI Visibility Toolkit documentation ↗Otterly.AI pricing ↗Peec AI pricing ↗
Next step