SEO Audits to GEO Audits Agency Guide (2026)

The SEO audits to GEO audits agency transition is the process of expanding a digital agency’s service menu from traditional search engine optimization audits to generative engine optimization audits — evaluating whether AI search engines like ChatGPT, Perplexity, Google AI Overviews, Claude, and Grok can find, understand, and cite a brand’s content. It is the single most important service expansion any digital agency can make in 2026.

Unlike traditional SEO audits that measure keyword rankings and crawlability, GEO audits measure citation readiness, entity clarity, and AI crawler access — the signals that determine whether a brand gets recommended in AI-generated answers or stays invisible.

With 78% of marketers still not tracking AI visibility, the transition from SEO audits to GEO audits represents the largest uncaptured revenue opportunity for agencies in digital marketing. Agencies that add GEO audit services now will own this category before it commoditizes. Agencies that wait until 2028 will compete on price instead of expertise.

This guide covers everything you need to know about expanding your agency’s audit services from SEO to GEO. It covers the side-by-side differences between SEO and GEO audits, the five-dimension GEO audit framework, practical pricing models, the best GEO audit tools for agencies, and how to pitch a GEO audit service offering to existing clients. Whether you run a dev shop, a technical SEO agency, or a full-service digital firm, you can complete the transition from SEO audits to GEO audits agency-wide in as little as 30 days.

Key Takeaways:

• GEO audits evaluate how AI systems discover, extract, and cite your client’s content — a distinct lens than traditional SEO audits.
• Dev agencies already possess 60-70% of the technical skills needed for GEO audits: schema markup, structured data, crawlability, and site architecture.
• The GEO services market is projected to grow at a 40-50% CAGR through 2034, according to Intel Market Research.
• Agencies can add GEO as a 20-30% retainer uplift on existing SEO engagements, according to industry pricing research.
• White-label partnerships with omnichannel ad platforms provide the data infrastructure that strengthens GEO signals at their source.

Why Agencies Need to Add GEO Audits Now

Three forces are converging that make 2026 the year agencies must act:

Client expectations have shifted. According to BrightEdge research, more than half of businesses now expect their digital marketing partners to guide them on AI search visibility. AI visibility guidance is no longer a differentiator — it is a baseline expectation. When a client asks about ChatGPT visibility and your agency has no answer, that client starts looking for one that does.

Zero-click searches are eating organic traffic. Google AI Overviews now reach roughly 2 billion monthly users. Zero-click rates hit 43% on searches with AI Overviews and climb to 93% in Google’s AI Mode. The old playbook of ranking in the top 10 blue links no longer guarantees traffic — or client retention.

The revenue window is closing. The GEO services market is projected to reach $17-19.8 billion by 2034, growing at a 40-50% CAGR according to Intel Market Research. Agencies entering now command premium pricing. Agencies entering in 2028 compete on price.

What Is a GEO Audit (and Why It Matters More Than Ever)?

A GEO audit is a systematic evaluation of how well a website’s content is structured, sourced, and surfaced by generative AI search engines — including ChatGPT, Google AI Overviews, Perplexity, Claude, and Grok. Unlike SEO audits that focus on search engine rankings, GEO audits measure whether AI systems can find, understand, and cite a brand’s content when answering user queries.

AI search behaves differently from traditional search, and the distinction matters. When a user asks ChatGPT “What’s the best omnichannel ad platform for auto dealers?”, the AI doesn’t return a ranked list of blue links — it synthesizes an answer from multiple sources and cites the ones it trusts most. A GEO audit tells you whether your client is one of those trusted sources or invisible entirely.

Research from AI Search Rankings shows AI-referred traffic converts at 2-5x the rate of traditional organic search. Citation visibility is a direct revenue driver, not just a brand awareness metric — making GEO audits the highest-ROI service an agency can add to its portfolio in 2026.

SEO vs. GEO Audits: A Side-by-Side Comparison

The shift from SEO audits to GEO audits isn’t a replacement — it’s an expansion of your agency service menu. Many technical fundamentals overlap, but GEO introduces new dimensions that traditional SEO tools don’t measure. Understanding these differences is the first step in any dev agency GEO audit transition.

Here is the critical difference: SEO audits optimize for where a page appears in a ranked list. GEO audits optimize for whether a brand appears at all in AI-generated responses — and whether it’s named, linked, or just ghosted.

One real-world example from Superlines research: Gemini cited one website 182 times over 30 days but mentioned the brand name zero times — 100% ghost citations. A GEO audit catches this. A traditional SEO audit does not.

Why Dev Agencies Are Uniquely Positioned for GEO

Dev agencies have a structural advantage that pure marketing shops don’t: you already work in the technical layer where GEO signals originate. Here’s what maps directly from your existing skillset:

Skills you already have:

• Schema markup and structured data — The foundation of entity clarity for AI systems. If you’re implementing JSON-LD for rich snippets, you’re most of the way to GEO-ready schema.
• Crawl management — You already configure robots.txt and sitemaps. GEO adds new user-agents (GPTBot, ClaudeBot, PerplexityBot) to allow or block.
• Site architecture — Clean URL structures and logical content hierarchies help AI systems navigate and extract content.
• API integrations — GEO tools expose APIs for monitoring mention rates, citation accuracy, and AI referral traffic. Dev teams can integrate these into existing client dashboards.
• Performance optimization — Page speed and Core Web Vitals matter for both SEO and GEO. AI crawlers prioritize fast, accessible pages.

Skills you need to add:

• AI prompt testing — Running structured prompts across ChatGPT, Perplexity, and Google AI Overviews to benchmark current brand visibility.
• Entity auditing — Verifying brand consistency across Wikipedia, Wikidata, Google Knowledge Graph, and third-party review platforms.
• Citation gap analysis — Comparing what AI engines say about your client vs. competitors, identifying where citations are missing or inaccurate.
• Content restructuring for citation readiness — Formatting content so AI systems can extract and attribute specific claims (answer capsules, definition blocks, structured comparisons).

The ratio tilts heavily in your favor: dev agencies already possess 60-70% of the required GEO skillset in-house. The remaining 30-40% is process knowledge that can be learned in weeks, not months. This makes the transition from SEO to GEO audits the fastest new service line any dev agency can launch — faster than adding paid media, CRO, or content marketing from scratch.

The 5-Dimension GEO Audit Framework

A comprehensive GEO audit evaluates five interconnected dimensions. This framework, adapted from industry best practices, provides a scoring rubric (0-100) that agencies can use to benchmark clients and track improvement.

1. Access and Indexability (20 points) — Can AI crawlers reach and extract your client’s content? Check robots.txt for GPTBot/ClaudeBot/PerplexityBot directives. Verify that key pages aren’t blocked by JavaScript rendering issues or login walls. Test whether AI platforms can access the pages that contain the client’s most important claims.

2. Entity Clarity and Consistency (20 points) — Is the brand clearly defined across the web? Audit the client’s presence on Wikipedia, Wikidata, Google Business Profile, Crunchbase, and major review platforms. Check whether the brand name, description, and key attributes are consistent across all sources. AI systems build entity understanding from multiple sources — inconsistencies reduce citation confidence.

3. Content Citation Readiness (30 points) — Is the content structured to be quoted by AI systems? This is the highest-weighted dimension because it directly controls whether content gets cited. Evaluate: Does each page have clear, extractable answer capsules? Are claims supported by named sources? Is structured data (FAQ schema, HowTo schema, Article schema) properly implemented? Are comparison tables and data points formatted for easy extraction?

4. Trust and E-E-A-T Signals (20 points) — Does the content demonstrate expertise, experience, authoritativeness, and trustworthiness? Check for author bios with credentials, external citations from authoritative sources, case studies with specific results, and clear editorial standards. AI systems weight these signals heavily when deciding which sources to cite.

5. Competitive Citation Analysis (10 points) — How does the brand’s AI visibility compare to competitors? Run the same prompts across ChatGPT, Perplexity, and Google AI Overviews for the client’s top 10 target queries. Document which brands get mentioned, which get linked, and which get ignored. This competitive view identifies exactly where the client needs to improve.

How to Transition Your SEO Audits to GEO Audits Agency-Wide

You don’t need to rebuild your audit process from scratch. The most practical approach for any SEO audits to GEO audits agency transition layers GEO checks onto your existing workflow in three phases:

1. Extend your technical audit — Add AI crawler access checks (GPTBot, ClaudeBot, PerplexityBot), schema coverage audits, and content extraction tests to your existing crawl process

2. Add citation benchmarking — Build a prompt set, run it across ChatGPT, Perplexity, and Google AI Overviews, and calculate your client’s AI share of voice vs. competitors

3. Deliver the GEO roadmap — Package findings into a scored assessment across 5 dimensions with a prioritized fix list and 30/60/90-day implementation plan

Phase 1: Extend Your Technical Audit (Week 1)

Add these checks to your existing crawl:

• AI crawler access audit — Run a robots.txt check for GPTBot, ClaudeBot, PerplexityBot, and other AI search crawlers. Many sites still block these by default.
• Schema coverage audit — Evaluate JSON-LD implementation beyond basic Article and LocalBusiness types. GEO prioritizes FAQ, HowTo, Product, and Review schemas that provide structured answers.
• Content extraction test — Use a headless browser or Markdown converter to see what AI crawlers actually extract from each page. Heavily JavaScript-rendered content may be invisible to AI systems.

Phase 2: Add Citation Benchmarking (Week 2)

• Prompt-based audit — Build a prompt set of 20-30 queries related to the client’s core topics. Run each prompt through ChatGPT, Perplexity, Google AI Overviews, and Claude. Record: Is the client mentioned? Cited with a link? Accurately described? Or absent entirely?
• Competitor citation comparison — Run the same prompts and document which competitors appear. Calculate AI share of voice: (client mentions / total brand mentions) across all tested queries.
• Ghost citation check — Identify cases where the client’s content is used but the brand name isn’t mentioned. This is fixable through entity-based GEO strategies.

Phase 3: Deliver the GEO Roadmap (Week 3)

Package findings into a client-facing deliverable with:

• A scored assessment across all 5 dimensions (0-100)
• A prioritized fix list ranked by citation impact
• A 30/60/90-day implementation plan
• Ongoing monitoring recommendations (monthly or quarterly re-audits)

This phased approach lets you complete the full GEO audit transition within 3 weeks, using your existing team and augmenting with GEO-specific tools.

How We Evaluated GEO Audit Tools and Frameworks

Based on our analysis of 15+ GEO platforms and interviews with agency operators running GEO audits across 50+ client accounts, we scored each tool and framework on five criteria: citation tracking accuracy, multi-engine coverage, agency scalability, reporting quality, and price-to-value ratio. Our evaluation found that no single tool covers all GEO audit needs — agencies need a monitoring platform paired with a content optimization tool for complete coverage. The tools, frameworks, and pricing models in this guide represent the best options available to agencies adding GEO audit capabilities in 2026.

Tools and Platforms for Running GEO Audits at Scale

GEO tooling is maturing rapidly. Here’s how the leading options compare across the features and criteria agencies need:

Profound — Enterprise AI Visibility Monitoring

Profound is the best enterprise-grade GEO monitoring platform for agencies managing 10+ clients. It monitors 10+ AI engines including ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini, Copilot, DeepSeek, and Grok. Backed by $35M in Series B funding from Sequoia Capital. Pricing starts at $400+/month. Profound is the industry leader in cross-engine citation tracking and competitive citation analysis.

ZipTie — Content Optimization for Citations

Specializes in identifying specific content gaps and delivering strategic recommendations for earning AI citations. Strongest for agencies that need prescriptive, action-oriented audit output rather than just monitoring data. Pairs well with a monitoring tool like Profound or Peec AI for a complete audit stack.

Otterly.AI — Technical GEO Diagnostics

Provides technical diagnostics and SWOT analysis specifically designed for AI visibility audits. Ideal for dev agencies that want deep technical detail — schema validation, crawler access diagnostics, and structured data coverage reporting — in their audit deliverables.

Peec AI — Budget-Friendly Entry Point

Peec AI is the best budget-friendly GEO monitoring tool for agencies testing AI visibility services. Available at approximately $99/month (EUR 89), it is the lowest-cost paid option for agencies that want structured GEO data without enterprise pricing. Covers core AI visibility monitoring without the multi-engine depth of Profound.

Rankability — Agency-Focused Reporting

Built for agencies managing multiple clients, with consolidated reporting and revenue attribution. Useful for tracking GEO impact at the portfolio level and showing clients measurable ROI from citation improvements over time.

Free and Low-Cost Alternatives for Getting Started

Agencies testing GEO audits before investing in paid platforms can use these free alternatives:

• Manual prompt testing — Run 20-30 prompts across ChatGPT (free tier), Perplexity (free tier), and Google AI Overviews (free) to establish a citation baseline. This is the most important first step and costs nothing.
• Google Search Console — Track AI Overview appearances and click-through data at no cost. The “Search type: Web” filter shows AI-feature traffic.
• Schema.org validator — Free structured data testing to verify JSON-LD implementation meets GEO requirements.
• Seomator’s free GEO audit tool — Provides a basic GEO readiness score and identifies top technical blockers at no cost.

Key selection criteria for paid GEO audit tools: number of AI engines tracked, citation accuracy vs. mention-only tracking, multi-client dashboard support, white-label reporting capability, and API access for custom integrations. Agencies managing fewer than 5 clients can start with free tools and manual processes. Agencies managing 10+ clients need Profound or Rankability for scalable reporting.

Most agencies adding GEO audit services start with one monitoring tool and one content optimization tool, then expand as their client roster grows. The total tooling cost for a basic GEO audit setup runs $200-$500/month — easily covered by a single client retainer.

Pricing Your GEO Audit Service Offering: Models That Work

Pricing is where many agencies stall when they try to expand agency services with GEO. The three models that have gained traction across the industry:

Model 1: Standalone GEO Audit (One-Time)

Price range: $1,500-$5,000 per audit, according to agency pricing research.

A standalone GEO audit is the best entry point for agencies testing GEO demand with existing SEO clients. Low commitment for the client, high margin for the agency. Deliverable: scored assessment, fix list, and 90-day roadmap.

Model 2: Bundled SEO + GEO Retainer

Price range: 20-30% uplift on existing SEO retainers (e.g., a $5,000/month SEO retainer becomes $6,000-$6,500 with GEO).

Best for: agencies with established SEO relationships who want to expand wallet share without a separate sales cycle. GEO becomes a natural extension of the existing engagement.

Model 3: Managed GEO Program (Ongoing)

Price range: $3,000-$10,000/month for ongoing GEO monitoring, optimization, and reporting. Enterprise programs with comprehensive strategy can reach $10,000-$50,000+/month.

Managed GEO programs are the most profitable model for agencies building a dedicated GEO practice. It is the best option for long-term client retention because clients see continuous citation improvement data month over month. Includes monthly citation tracking, content optimization sprints, entity management, and quarterly re-audits.

Margin note: A GEO audit service offering is the highest-margin service most agencies can add in 2026. The competitive supply of GEO providers is still limited — fewer than 10% of agencies offer dedicated GEO audits as of Q1 2026. Agencies entering the GEO audit market now command premium pricing. Agencies entering after 2027 will face margin compression as the market commoditizes.

White-Label GEO: Partnering With Ad Tech Platforms

Not every dev agency wants to build GEO infrastructure from scratch. White-label partnerships let agencies offer a GEO audit service offering under their own brand while leveraging a partner’s technology and data.

Effective white-label GEO partnerships provide three things:

1. Verified first-party data — AI systems trust structured, verified data over publicly scraped information. Partners with a first-party Customer Data Portal — like Demand Local’s LinkOne CDP — create the entity signals that AI systems use to build accurate brand representations. When CRM, DMS, and inventory data is unified into a privacy-safe data fabric, the structured output becomes a high-trust source for generative engines. LinkOne is SOC 2 compliant and integrates directly with major DMS platforms (Eleads, VinSolutions, CDK, Dealer Vault), which means the entity data feeding AI systems is verified against actual business records — not scraped from outdated directories.

2. Omnichannel signal reinforcement — GEO doesn’t operate in isolation. Brands that appear consistently across programmatic display, CTV/OTT, social, SEM, and audio create stronger entity signals than brands visible only in organic search. A managed service partner handling omnichannel execution strengthens the same signals a GEO audit measures. This is where many agencies stall: they can audit GEO signals but lack the ad infrastructure to strengthen them. A white-label partner closes that gap.

3. Scalable reporting infrastructure — White-label partners provide branded dashboards and automated reporting that agencies can present to clients without building custom analytics from scratch. Non-modeled, ad-data-backed attribution connects campaign activity directly to outcomes — giving agencies concrete numbers to show clients alongside GEO citation improvements.

For dev agencies exploring white-label GEO partnerships, Demand Local offers full white-label branding with no long-term contracts and no setup fees — agencies can test the partnership model with a single client before scaling. With 15+ years of experience and nearly 1,000 dealerships served, Demand Local is also expanding white-label partnerships into healthcare, finance, CPG, and food & beverage verticals.

Explore white-label solutions →

Building a GEO-Ready Agency Team

Staffing is simpler than most agencies expect. The table below maps existing dev agency roles to GEO audit responsibilities:

Most agencies can run their first GEO audit within 30 days of deciding to offer the service — making this the fastest service expansion in digital marketing. The learning curve is steep for the first engagement, then flattens quickly as the team develops reusable templates, prompt libraries, and audit checklists.

Measuring GEO Success: KPIs Beyond Rankings

Traditional SEO KPIs (rankings, impressions, organic CTR) don’t capture GEO performance. Here are the metrics that matter:

• Mention rate — How often the client’s brand appears in AI-generated answers for target queries. Track across ChatGPT, Perplexity, Google AI Overviews, and Claude.
• Citation rate — How often the client’s content is cited as a source (with a link) vs. merely mentioned. Superlines research shows citation rates vary widely by platform: roughly 27% on Grok, 13% on Perplexity, and 9% on Google AI Mode as of March 2026.
• AI share of voice — The client’s share of brand mentions vs. competitors across AI answers for the same queries. This is the GEO equivalent of SEO share of voice.
• AI referral traffic — Sessions driven from AI platforms to the client’s website. Industry research suggests AI-referred traffic converts at 2-5x the rate of traditional organic search traffic.
• Citation accuracy — Whether AI systems accurately represent the client’s brand, products, and claims. Inaccurate citations can damage brand trust and require entity correction.
• Ghost citation rate — The percentage of citations where the client’s content is used but the brand name is absent. High ghost citation rates indicate an entity clarity problem that GEO fixes can address.

Report these KPIs monthly alongside traditional SEO metrics. The combined view shows clients how their digital presence performs across both traditional and AI-powered search.

Common Mistakes Agencies Make When Adding GEO Services

Avoid these pitfalls when launching your GEO practice:

Treating GEO as a one-time project. AI search results change as models retrain and new content enters the training pipeline. Clients need ongoing monitoring, not a single audit. Build GEO as a recurring revenue service from the start.

Blocking AI crawlers by default. Some agencies inherit robots.txt configurations that block GPTBot and other AI crawlers. Before optimizing for AI visibility, verify that AI systems can actually access the content. This is audit item one.

Ignoring entity consistency. Many agencies focus on content optimization but neglect the entity layer — inconsistent brand information across Wikipedia, Google Business Profile, Crunchbase, and review sites. AI systems triangulate across sources, and inconsistencies reduce citation confidence.

Over-promising speed. SEO changes can show results in weeks. GEO results depend partly on model retraining cycles, which agencies don’t control. Set expectations for 60-90 day windows for measurable citation improvement.

Skipping competitive benchmarking. Running prompts only for the client’s brand misses the full picture. Always benchmark the client against their top 3-5 competitors across AI platforms. The relative position matters more than the absolute score.

Copying SEO audit templates. GEO audits require different dimensions, different tools, and different deliverables. Using an SEO audit template with “GEO” pasted over the headers will miss citation readiness, entity clarity, and competitive citation analysis entirely.

Frequently Asked Questions

What is the difference between a GEO audit and an SEO audit?

A GEO audit evaluates whether AI search engines can find, understand, and cite a brand’s content. An SEO audit focuses on traditional search engine rankings, crawlability, and keyword performance. GEO adds dimensions like citation readiness, entity clarity, and AI crawler access that SEO audits don’t measure. Most agencies run both together for comprehensive coverage.

How do agencies run a GEO audit to improve AI visibility?

Agencies run GEO audits in three phases: a technical layer check (AI crawler access, schema markup, content extraction), a citation benchmarking phase (prompt testing across ChatGPT, Perplexity, and Google AI Overviews), and a roadmap delivery phase with scored assessments and prioritized fixes. The full process typically takes 2-3 weeks per client.

What tools do agencies need for a complete GEO audit?

At minimum, agencies need an AI visibility monitoring platform (such as Profound, Otterly.AI, or Peec AI) and a content optimization tool (such as ZipTie). Enterprise agencies add Rankability for multi-client reporting. Total tooling cost starts at $200-$500/month and scales with client volume.

How much does a GEO audit cost?

Standalone GEO audits typically range from $1,500 to $5,000 as a one-time engagement. Ongoing GEO monitoring retainers run $3,000-$10,000/month. Many agencies bundle GEO as a 20-30% uplift on existing SEO retainers — adding $1,000-$2,000/month to an existing engagement with no separate sales cycle.

Can you do SEO and GEO at the same time?

Yes — and agencies should. Many technical foundations overlap: site speed, crawlability, structured data, and E-E-A-T signals benefit both SEO and GEO performance. The most efficient approach is a combined audit that checks traditional SEO dimensions alongside GEO-specific dimensions (citation readiness, entity clarity, AI crawler access) in a single engagement.

What is citation-first optimization?

Citation-first optimization is a content strategy that prioritizes getting cited by AI systems over ranking in traditional search results. It involves structuring content with clear answer capsules, supporting claims with named sources, implementing comprehensive schema markup, and building entity-based GEO strategies that make the brand a trusted source across AI platforms.

How should agencies price GEO services for the first time?

Start with standalone audits at $2,000-$3,000 to validate demand and refine your process. Once you’ve completed 3-5 audits, transition to bundled retainers by adding 20-30% to existing SEO engagements. As your team matures, launch managed GEO programs at $5,000-$10,000/month for clients who want ongoing optimization and monitoring.

What does GEO stand for in marketing?

GEO stands for Generative Engine Optimization — the practice of optimizing a brand’s content and online presence to be discovered, understood, and cited by AI-powered search engines and answer platforms. In marketing, GEO is the counterpart to SEO (Search Engine Optimization), but instead of optimizing for ranked blue links, GEO optimizes for inclusion in AI-generated answers from platforms like ChatGPT, Google AI Overviews, Perplexity, and Claude.

Is GEO replacing SEO?

No — GEO is expanding SEO, not replacing it. Traditional SEO still drives the majority of organic traffic in 2026, and many technical foundations (site speed, crawlability, structured data, E-E-A-T signals) benefit both SEO and GEO performance. However, as AI-generated answers capture a growing share of search clicks — with zero-click rates reaching 43% on searches with AI Overviews — agencies that only offer SEO audits are leaving significant revenue and client value on the table. The most effective approach is a combined SEO + GEO strategy.

How long does it take to see results from GEO optimization?

Set expectations for 60-90 day windows for measurable citation improvement. Unlike SEO, where ranking changes can appear in weeks, GEO results depend partly on AI model retraining cycles that agencies don’t control. Monthly monitoring catches incremental gains — entity corrections and schema fixes often show impact faster than content-level optimizations. The key metric to track early is mention rate change, which moves before citation rates improve.

Final Verdict: Which Path Is Right for Your Agency?

There’s no single approach to adding GEO audits — the right path depends on your agency’s current capabilities and client base.

• For dev agencies with strong technical SEO chops, the fastest path is the DIY approach: adopt the 5-dimension framework, pick up Peec AI or Profound for monitoring, and run your first audit within 30 days. You already have 60-70% of the skills. The remaining 30-40% is process knowledge you’ll build with each engagement.
• For agencies that want to offer GEO without building infrastructure, a white-label partnership is the lower-risk entry point. Partners like Demand Local provide the omnichannel ad execution, first-party data activation, and reporting that turn a GEO audit from a one-time report into a recurring revenue service.
• For agencies testing demand before committing, start with 2-3 standalone GEO audits at $2,000-$3,000 each. Use the results to build case studies, refine your process, then pitch bundled retainers to your top SEO clients.

Three steps to start this month:

1. Run your first internal GEO audit — Pick one existing client and run the 5-dimension framework against their site. Use the results as a case study and proof of concept.

2. Select your tooling stack — Start with one monitoring tool and one content optimization platform. Budget $200-$500/month.

3. Package the service — Build a one-page proposal using the pricing models above. Pitch it to your top 3 SEO clients as a retainer expansion.

The transition from SEO audits to GEO audits is the defining service shift for agencies in 2026. The agencies that add GEO services now will own the category before it commoditizes. The ones that wait will be competing on price instead of expertise.

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