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Rory Piecuch , SEO Specialist
Rory Piecuch is an SEO and AI Search Specialist at Gravitate, a digital agency in Vancouver, WA. He drives organic visibility for clients across dozens of industries. His work spans technical SEO, content marketing, audits, and AI search optimization. Every strategy is built to drive visibility, traffic, and revenue wherever people search.
Rory has 10+ years of experience in search and content strategy. He grew one client site from under 50 to over 23,000 monthly visits in 12 months. That track record is why clients trust him with their SEO and AI search visibility.
May 24, 2026 | Gain Knowledge
AI search has changed the math behind every SEO budget. Ahrefs measured a 58% drop in clicks for top-ranking pages when a Google AI Overview appears. That figure climbed from 34.5% in 8 months.
Traditional SEO budgets built for blue-link search experiences no longer earn the same return. Keep 70–85% on core SEO and ring-fence 15–30% for AI search visibility work.
This guide covers the framework, cost drivers, business-size benchmarks, a 90-day workflow, and KPIs.
Top-ranking pages lose more than half their clicks when Google surfaces AI summaries. Semrush found 83% of AI Overview searches and 93% of AI Mode searches end without a click.
The shift runs deeper than clicks. AI search changed buyer discovery and created a conversion upside for cited brands.
Pew Research Center measured a 46.7% relative decline in clicks for queries that surface an AI Overview. The study tracked 68,000 queries under controlled conditions. Researchers compared click behavior on the same searches before and after AI Overviews appeared.
Informational content absorbs most of the impact. AI Overviews answer the queries that used to send users to blog posts, guides, and comparison pages. A page that ranked #1 for an informational query now competes with an AI answer above it.
Ahrefs measured a 34.5% click reduction for the top organic position in April 2025. By December 2025, the figure reached 58%. The drop nearly doubled in 8 months.
Seer Interactive tracked a partial rebound in early 2026, with organic CTR climbing from 1.3% to 2.4%. That recovery still leaves AI Overview queries far below pre-AIO click rates.
According to Forrester, 94% of B2B buyers now use AI during their buying process. B2B buyers adopt generative AI search at 3× the rate of consumers. Brands that AI engines cite during that process get a visibility advantage that competitors miss.
Cited brands see a 35% lift in organic CTR over brands AI engines do not cite. That gap turns AI search visibility into a direct driver of clicks.
Click loss from AI search does not mean revenue loss. AI-referred visitors convert at multiples of traditional organic traffic.
Semrush data shows AI-driven search visitors convert at 4.4× the rate of traditional search. Ahrefs puts the ceiling at 23× on high-intent queries. Fewer clicks carry more revenue per visit.
An AI SEO strategy built around citation-worthy content captures that conversion advantage.
Answer engine optimization (AEO) and generative engine optimization (GEO) are not new budget categories. Both map to tasks inside an existing SEO program.
Below are six cost drivers with typical price ranges.
A content refresh is cheaper than creating a new page. Top revenue pages need an answer-first lead, fresh stats, source attribution, and FAQs to earn AI citations. A 40–60 word direct answer at the top of a page gives AI systems a passage ready to cite.
Refresh costs run $500–$2,000 per page. The Editorial Freelancers Association’s rate chart sets $0.25–$1.00 per word for marketing content. Agencies that bundle editorial review with technical optimization run at the high end of that range.
Structured data clarifies entities and relationships for search engines. Google Search Central recommends JSON-LD as the preferred format for rich results. But Google’s AI optimization guide confirms structured data is not required for AI search features.
Schema still earns rich results in traditional search, where most of your budget sits. Technical SEO services include schema types like FAQ, Product, Review, Service, LocalBusiness, and Organization.
Schema implementation runs $1,500–$5,000 for a standard business site based on developer rates near $200/hour and 8–25 hours per build. Ongoing validation adds a recurring cost as schema standards evolve.
AI engines cite brands whose experts have a verifiable footprint. Author schema, structured bios, LinkedIn profiles, and industry directory listings build the online footprint AI systems find when choosing sources.
Author schema and structured bios are low-cost setup tasks. The main investment is earning citations in authoritative publications.
Bylines, guest posts, and brand mentions in industry publications build that record. Building 2–5 guest posts per author runs $1,200–$3,000 in digital PR spend.
You cannot defend AI search spend without tracking citations. These search tools cover AI platforms, including AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot.
Weekly tracking surfaces where your brand appears and where competitors get cited instead.
AI engines favor content with verifiable, citable data. An original study creates a citable source tied only to your brand. No other site can publish the same figures.
The Content Marketing Institute found 43% of B2B marketers call research reports their best-performing format. But only 36% produce them.
Full-scope original data studies run $5,000–$25,000 per study. That cost covers survey fielding, analysis, and design. Smaller-scale alternatives like polls and benchmark reports based on existing data run $2,000–$5,000.
Large language models (LLMs) train on the open web. Industry publications, expert roundups, and niche forums build the citation history AI models pull from. Generative engine optimization turns that presence into structured AI visibility.
BuzzStream puts the average active digital PR retainer at $5,458/mo. Agencies charge $6,357/mo and freelancers $4,200/mo.
Each published mention earns a backlink to your site. BuzzStream puts the average cost per earned link at $597. Guest posts start at $150, and full-production campaigns reach $800.
Forrester recommends reallocating at least 15% of digital spend to AI search visibility. A poll of 150 B2B marketers from the same research found 69% call AI visibility a top CEO priority for 2026.
Your current search strategies determine the path. Ring-fence new budget when SEO already produces pipeline. When it does not, reallocate from generic blog content that AI search now answers.
Both paths lead to the same budget allocation.
The AI search slice breaks into these fundable tasks.
Ring-fence new budget when your core SEO already produces pipeline. AI-driven traffic loss threatens that revenue. Cutting core SEO spend to fund AI work puts existing revenue at risk.
Fund AI search visibility as a new line item instead of pulling from a working SEO program. Content creation, entity authority, and digital PR position revenue pages as sources AI engines cite.
Reallocate existing budget when your core SEO underperforms. Cut generic blog content that AI search already answers. Move that spend to optimize content, create original data assets, and authority-building work.
Gartner‘s 2025 CMO Spend Survey shows marketing budgets flatlined at 7.7% of revenue, down from 11% in 2020. New line items rarely get approved in that environment. Moving money from underperforming content to AI search work is the realistic path.
The data below combines the Ahrefs survey of 439 SEO providers, Backlinko pricing analysis, and Forrester reallocation guidance.
Budget ranges scale with site complexity and competitive pressure. AI-reliant industries should land at the high end of each range.
Small budgets win on focus. For a $1,500–$5,000/mo search program, the 15% AI slice runs $225–$750. That range covers Google Business Profile optimization, answer-first content updates, and review generation.
Skip AI search tools at this stage. GBP optimization and review generation build the local signals AI engines cite. Content updates on top revenue pages fill the remaining budget.
The mid-market is where the framework pays. A $5,000–$12,000/mo program at a 20–25% AI slice puts $1,000–$3,000 toward AI search. Content refreshes, quarterly data assets, and a citation tracking tool consume most of that AI budget.
The Ahrefs survey of 439 providers shows mid-market agency retainers averaging $3,209/mo. Adding a 20% AI slice puts the full program at roughly $3,850–$4,000/mo. That range fits within most mid-market search budgets.
Enterprise programs run $10,000–$25,000+/mo for national brands and $15,000–$50,000+ for regulated verticals. A 25–35% AI slice funds expert-review programs, knowledge-graph alignment, and authority signals at scale.
Technical implementation alone won’t earn citations in regulated verticals. AI models are more likely to cite healthcare, legal, and finance content with credentialed experts or a compliance review.
Most budget mistakes come from allocating before auditing. Teams fund AI SEO work on pages already losing traffic to AI answers. High-converting pages that need protection get ignored.
A 90-day plan that front-loads audit findings makes every reallocated dollar defensible to leadership.
A content audit segments every page by its current value and AI exposure. Each page gets tagged with a clear next action.
Gravitate’s digital marketing team runs content audits as part of broader SEO engagements. Pair yours with an AI Readiness Audit. The audit checks 36 on-page factors that affect AI retrieval and citation potential.
Move budget out of ‘Retire’ and ‘Replace’ pages first. Those pages no longer earn the clicks or conversions to justify their content investment.
Defend pages get the freed spend first because they already drive revenue. Answer-first rewrites with current data produce the fastest citation gains. The remaining spend covers updates on Refresh pages and one original data asset.
Start with ‘Defend’ and ‘Refresh’ pages from the audit. Optimize each page with an answer-first lead, citable data points, and named author attribution. Also, add expert quotes when your team has genuine subject-matter expertise.
Structured content alone won’t earn citations. Topical depth, source authority, and entity relevance shape whether AI engines retrieve and cite a page.
Alongside the refreshes, publish one original data study or benchmark report per quarter. Original data creates a citable source tied to your brand that no competitor can replicate.
Track citation rate, share of model, AI-driven referral traffic, branded search lift, and AI-driven conversions every week. AI visibility shifts faster than traditional rankings. Weekly data catches drops before they hit revenue.
Tag AI referrals with UTM parameters to attribute the conversion path. First citation gains typically appear within 60–90 days of optimization work. Branded search lift takes 4–6 months as repeat AI exposure builds brand recall.
Executing on AI search requires skills most marketing teams don’t have in one place. The question is whether to build that capacity in-house, hire an agency, or split the work between both.
Each model trades off speed, depth, and cost predictability differently.
Build in-house when AI search is core to revenue. A dedicated SEO, content, and data analyst team produces better long-term ROI than retainers at scale.
The Ahrefs survey sets agency averages at $3,209/mo. In-house costs run 50–80% above that once fully loaded for salary, tools, training, and management.
The break-even point favors in-house at scale. Below that, an agency retainer delivers more output per dollar.
Hire an agency when AI search optimization needs to launch before you can hire for it. A single retainer covers content, technical, digital PR, and reporting specialists. Recruiting those roles in-house takes 6–12 months and costs $250,000–$500,000+ per year fully loaded.
The agency model spreads specialist costs across clients. For companies under $50M in revenue, that structure produces more output per dollar than equivalent in-house hires.
Gravitate’s specialists and tools are already in place. Most AI SEO clients see first optimization results within 30–60 days.
Traditional KPIs miss the AI search story. Rankings and organic sessions don’t capture buyers who research inside AI answer engines without clicking through.
Four AI-specific KPIs fill the gap: citation rate, share of model, AI-driven conversions, and branded search lift.
Citation rate tracks how often AI tools cite your content or mention your brand. No other metric maps this closely to a traditional search ranking.
A page that ranks #1 on Google may never appear in an AI search result. Citation rate drops warn of lost AI visibility before the loss reaches referral traffic. A rising rate on high-intent queries confirms AI engines are surfacing your brand to active buyers.
Track citation rate across the top AI answer engines using a consistent query set each month.
Share of model is the AI version of share of voice. It measures how often your brand appears in AI answers versus competitors across the same prompts.
Citation rate shows whether you appear. Share of the model shows whether you appear more than your competitors.
A 15%+ share in comparison queries signals a competitive position. A 5–14% share is vulnerable. Below 5% means AI answer engines are not surfacing your brand.
Run the same prompt set in AI answer engines each month. Compare how often your brand appears versus competitors.
Referral traffic from AI answer engines converts at higher rates than organic traffic. Semrush measured a 4.4x lift. Ahrefs measured up to 23x. The exact multiple varies by study, but the direction is consistent.
Visitors from AI answers arrive after receiving a recommendation. That intent gap explains the conversion lift.
Tag each AI referral source via UTMs in Google Analytics or your CRM. From there, track conversions that started with an AI referral. Count them even if the final click came from another channel.
Branded search lift tracks whether AI visibility is creating brand demand. Buyers see your brand name in AI answers without clicking through, then search for it by name afterward. BrightEdge found brand mentions in ChatGPT appear 3.2x more often than clickable citations.
Branded search volume in Google typically rises 1–4 weeks after AI engines begin citing your brand. Over 4–6 months, repeat exposure builds brand recall, and search volume grows.
Monitor branded search trends in Google Search Console. A rising trend confirms AI citations are reaching buyers.
A budget defended by data beats a budget defended by opinion. Gravitate’s AI Readiness Audit scores your pages across 36 AI visibility factors.
Need competitor data before you allocate budget? The CSI Report audits your top rivals across search, social, and paid. Each report surfaces 5–10 revenue opportunities.
Get Your AI Readiness Audit
Quick answers to common questions about adapting your SEO budget for AI search.
Most teams should move 15–30% of search budget to AI search visibility. Forrester sets 15% as the floor for mid-market B2B brands. Enterprises in AI-exposed verticals such as healthcare and finance should allocate 30% or higher.
No, you should not cut core SEO to fund AI search. AI engines crawl the same technical foundation as Google. Set aside new budget for AI search when SEO performs. Reallocate from low-ROI assets when SEO underperforms.
The difference between SEO, AEO, and GEO is the type of search result each targets. SEO targets organic rankings in search engines like Google and Bing. AEO targets featured snippets and AI answer boxes. GEO targets citations in AI tools like Google AI Mode and ChatGPT. AEO and GEO are subsets of SEO, not replacements.
No, GEO and AEO do not need a separate budget. Both map to tasks inside the 15–30% AI search slice of total search spend.
Yes, small businesses need an AI SEO budget. Allocate 15% of current SEO spend to AI visibility. For a $2,000/mo program, that equals $300/mo. Spend it on content and technical fixes to existing pages.
Track citation rate, share of model, AI-driven conversions, and branded search lift to measure ROI on AI search spend.
Most mid-market companies should hire an agency for AI SEO. The work spans technical, content, and digital PR. Hiring across all three costs more than a single agency retainer. Add in-house roles when AI search becomes a top-three acquisition channel for your business.
AI SEO investment produces first citation gains within 60–90 days of content and technical optimization. Branded search signals appear within 1–4 weeks. Consistent citation growth and traffic gains compound over 4–6 months when execution stays on schedule.
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