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Home › Blog › Generative Engine Optimization ›

A 6-point GEO readiness audit for your B2B website

Elijah Millard Headshot

Elijah Millard

Principal, Digital Marketing

Elijah leads the marketing department, organizing and implementing creative and innovative digital marketing campaigns with a background in mass communications & psychology.

Table of Contents

  1. 1. 1. Crawl access for AI retrieval systems
  2. 2. 2. Entity clarity across the site
  3. 3. 3. Section-level completeness
  4. 4. 4. Consistent definitions and stable terminology
  5. 5. 5. Authorship, sourcing, and trust signals
  6. 6. 6. Measurement built for citation, not just clicks
  7. 7. A short note on where this fits

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Calendar icon May 7, 2026 · Clock icon 7 min read · ChatGPT logo Summarize in ChatGPT

Your rankings look fine. Your traffic is down anyway. If that pattern sounds familiar, you are watching generative search reshape visibility in real time, and most B2B sites are not built for it.

AI Overviews answer questions on the results page and cite a handful of sources within the answer. Seer Interactive found organic click-through rate dropped from 1.41% to 0.64% on queries showing AI Overviews, even when traditional listings still appeared (Seer Interactive, 2025). Search Engine Land reported 27.2% of U.S. searches ended without a click in March 2025, up from 24.4% a year earlier (Search Engine Land, 2025). The link between rank and traffic is fraying.

Generative Engine Optimization (GEO) is how you respond. It is not a replacement for SEO. It is a set of preparation steps that decide whether AI-driven search systems can retrieve your content, weigh it as useful, and cite it inside an answer. The audit below covers the six checks we run on B2B sites before we recommend any content investment. Run through it on your top 20 pages first.

1. Crawl access for AI retrieval systems

Start with the boring layer. If bots cannot reach the page, nothing else matters.

We see this pattern often: a marketing team launches a new resource hub, the developer gates it behind an aggressive JavaScript loader, and six months later nobody understands why the pages do not surface anywhere. Check robots.txt for blanket disallows. Review server logs to confirm Googlebot, Bingbot, and the AI-specific user agents (GPTBot, Google-Extended, PerplexityBot, ClaudeBot) are reaching your priority URLs. Confirm your most important explanatory pages render server-side or hydrate predictably.

Google’s own guidance is direct: keep content accessible so AI-powered search experiences can surface and cite it (Google Search Central, 2025). If you are running WordPress, look at how your caching, lazy loading, and any “AI bot blocker” plugins interact. A surprising number of marketing managers discover their security plugin has been quietly blocking the very crawlers they need.

Pass criteria: every priority page returns 200, renders core content without script execution, and shows recent crawl activity in Google Search Console.

Crawl access for AI retrieval systems

2. Entity clarity across the site

AI systems retrieve meaning, not strings. They identify entities (your company, your products, the standards you operate under, the roles you serve) and connect them across sources. If your site refers to the same product as “the Platform,” “ACME Connect,” and “our solution” depending on which page you land on, you have made the system’s job harder.

Pick the 10 to 15 entities that define your business. Write a one-sentence definition for each. Then audit your top pages: does every reference use the canonical name on first mention? Does the definition match? This sounds like brand hygiene because it is, but the implication for retrieval is concrete. OpenAI documentation describes retrieval as a semantic process that surfaces relevant content even when query and source share few keywords (OpenAI, n.d.). That works in your favor only if the entity itself is named clearly.

A SaaS client we audited last year had three different definitions of “managed detection and response” across their pillar page, blog, and services page. Once we aligned them, citations in AI Overviews for related queries climbed within a quarter.

3. Section-level completeness

This is where most B2B sites fail.

Generative systems chunk pages. They evaluate paragraphs and short sections independently, then assemble an answer from passages across multiple sources. A long page with mixed topics performs worse than a shorter page where each section addresses one concept directly. Pages that lean on surrounding context (a definition three scrolls up, an assumption stated in the intro) lose meaning when chunks are evaluated alone.

Open your top page. Read each H2 and H3 in isolation. Can the section underneath it answer a specific question without the rest of the page? If not, rewrite. Place the direct answer in the first sentence after the heading. Define terms before you use them. Add an example only after the definition is clear.

Headings should name the topic, not tease it. “What is SOC 2?” works. “The compliance maze every CTO faces” does not, because no AI system maps that to a retrievable concept.

Consistent definitions and stable terminology

4. Consistent definitions and stable terminology

Consistency is a signal. When several pages on your site (and ideally across the wider web) describe a concept in similar terms, retrieval systems gain confidence in that framing. OpenAI’s documentation notes that structured, well-defined text improves retrieval quality during synthesis (OpenAI, n.d.).

The practical move: build a short internal glossary for your priority topics. Twenty to thirty terms is plenty for most B2B sites. Each entry has a canonical definition, a short alternate phrasing, and a list of pages where the term appears. When you update one definition, you update all of them. This is unglamorous work. It is also the work that compounds.

Stability matters as much as consistency. Rewriting your core definitions every quarter to chase a trend resets the signal. Update for clarity or accuracy. Leave the framing alone unless the underlying concept actually changed.

5. Authorship, sourcing, and trust signals

Generative systems reward content that looks like it came from someone who knows the subject. That means visible authorship, role context, and links to primary sources when you cite a statistic or standard.

Check each priority page for a named author with a credible bio. Replace generic “by the team” bylines. Where you cite research, link to it. Where you reference a regulation or framework, link to the issuing body. Google’s guidance points to experience, expertise, and trust as qualities its ranking systems evaluate (Google Search Central, 2023). Those signals carry into how AI systems decide which sources to cite.

A quick test we run: pull up a competitor cited in an AI Overview for a query you care about. Look at how their author is presented, whether sources are linked, and how recently the page was updated. The pattern is consistent. Cited pages are rarely anonymous.

Authorship, sourcing, and trust signals

6. Measurement built for citation, not just clicks

The last check is not on the page. It is in your reporting.

If your monthly marketing report still leads with sessions and keyword rankings, you are measuring the wrong thing for generative search. Citation presence (how often your domain appears as a cited source in AI Overviews and similar features), branded mentions in generated answers, and assisted influence (which pages tend to appear together in answers that precede demo requests or branded searches) tell you whether your content is being used.

Seer Interactive found that organic CTR rose from 0.74% to 1.02% when a brand appeared in an AI Overview, and paid CTR climbed from 7.89% to 11% under the same conditions (Seer Interactive, 2025). Inclusion produces engagement even as overall click volume falls. BrightEdge data reported by Search Engine Land showed enterprise impressions up 49% year over year while clicks dropped 30% (Search Engine Land, 2025). Exposure is rising. Visits are not. If your dashboard cannot show that, the dashboard needs to change.

This is where attribution setup matters. We rebuild GA4 events, Search Console reporting, and citation tracking together so a marketing manager can answer one question in a board meeting: which topics are influencing pipeline, regardless of whether the click happened.

A short note on where this fits

GEO is not separate from SEO. Crawl access, site architecture, content depth, and technical hygiene still decide whether any of this works. The difference is emphasis. Retrieval readiness, entity clarity, and section-level completeness now matter as much as the link profile that used to carry a weak page across the line. For mid-market B2B sites running on WordPress, most of these fixes are content and structure problems, not platform problems. They are the kind of work that pays off at month nine, not week two.

If you want a second set of eyes on how your site holds up against this audit (or you want help rebuilding measurement so citation presence shows up next to pipeline in your reports) we are happy to walk through it. Most of our work with mid-market B2B teams starts with exactly this kind of review. No pitch deck required.

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Elijah Millard

Principal, Digital Marketing

Elijah leads the marketing department, organizing and implementing creative and innovative digital marketing campaigns with a background in mass communications & psychology.

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About 321 Web Marketing

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