This is the reference companion to our other GEO coverage in this issue — the synthesis piece on GEO and SEO and the original GEO vs SEO shift article. It is not editorial. It is the working checklist we hand to a founder when they ask us, “what should I actually go look at?”
The checklist runs thirty items, grouped into seven sections. Each item has a working example and a one-line note on what good looks like. Most founders we work with score badly on the first ten items, decently on the middle ten, and have not thought about the last ten at all. The audit is best done by the founder, not the marketing team, because the founder is the entity the audit is mostly about.
The discipline behind this checklist is the one covered in Similarweb’s GEO guide, WordStream’s GEO vs SEO breakdown, Jasper’s GEO/AEO piece, and Studio1Hub’s GEO post. The Gartner forecast of a 25 percent decline in traditional search volume by 2026 is the working backdrop for why this audit matters. The Adweek 2026 trends piece is the cleanest general-press summary.
Section 1 — The entity layer
1. Wikidata entry for the brand exists, and the description is accurate. Most founders we audit have not checked. Wikidata is a primary signal the answer engines use to resolve a brand. The entry should exist, the description should be one or two sentences, and the structured properties (industry, founder, founding year, headquarters) should be populated. Example: search wikidata.org for your brand. If there is no entry, that is the first finding.
2. Wikidata entry for the founder exists, and the description is accurate. The founder entity is a distinct signal from the brand entity. For founder-led companies, the founder entry is usually the more cited entity. The entry should reference the brand explicitly through an “occupation” or “employer” property, not just in the text.
3. Wikipedia article for the brand exists, or a notability case is being built. Wikipedia notability requirements are stricter than Wikidata, and most early-stage brands do not qualify. The audit item is not “do you have a Wikipedia article.” It is: are independent, secondary sources accumulating about the brand at a pace that will eventually justify one? If the answer is no, the GEO program will hit a ceiling.
4. Crunchbase profile is current and the company description matches the brand’s working description. Crunchbase is a frequent answer-engine source for company-level facts. The profile should have the current funding history, the current team list, the current headquarters, and a description that matches the one used on the brand’s own properties. The brands whose Crunchbase says one thing and whose website says another get described inconsistently inside answer-engine responses.
5. LinkedIn company page is fully populated and the founder profile is linked to it. LinkedIn is a heavily weighted signal for company-level facts, particularly headcount, location, and industry classification. The founder’s LinkedIn should explicitly list the company in the experience section. The number of brands we audit where this connection is missing is high.
Section 2 — Schema and structured data
6. Organization schema is on the brand’s home page. The schema.org/Organization type, with name, URL, logo, and sameAs properties pointing to the brand’s Wikidata, Crunchbase, and LinkedIn entries. The sameAs property is the underrated one — it explicitly tells the engine which external entities are the same as the brand.
7. Person schema is on the founder’s bio page. schema.org/Person, with name, jobTitle, worksFor (pointing to the Organization schema on the home page), and sameAs properties to the founder’s external profiles. Example: the founder bio page should declare, in structured form, that this person works for this company. Most do not.
8. Article schema is on every published piece. schema.org/Article or schema.org/NewsArticle, with author (linked to the Person schema), datePublished, dateModified, and publisher (linked to the Organization schema). The article schema is what lets the answer engines reliably attribute a quoted passage back to the author and the publication.
9. FAQPage schema is on relevant Q&A content. The FAQPage type is the most direct GEO signal in the structured-data toolkit. It tells the engine, in machine-readable form, that this passage is the answer to this question. The answer engines lift these directly.
10. BreadcrumbList schema is implemented on every section page. The breadcrumb structure is how the engine reconstructs the brand’s information architecture without crawling the navigation. It is a small fix and most brands skip it.
Section 3 — Citation density across credible properties
11. The brand is named in at least three independent publications the engines weight. “The engines weight” means major industry trade publications, established business press, or technical reference sites — not the brand’s own properties and not press-release wires. Example: a B2B SaaS brand should be able to point to coverage in two or three credible category publications. Brands that score zero on this item have a citation-density problem regardless of what else is true about their stack.
12. The founder is quoted, by name, in at least two independent publications. Founder quotes are a high-value signal because they let the answer engine attribute a position back to a person with an entity. The pattern that works is being a credible source on a small number of topics where the founder has earned the right to speak.
13. The brand has appeared in at least one industry-ranking listicle on a credible domain. Listicles are an underrated GEO signal because they are heavily indexed by the engines as topical-authority sources. Being on the right list matters more than being on every list.
14. Independent press coverage refers to the brand by its canonical name. The brands whose press coverage uses three different name variants get described inconsistently inside answer-engine responses. The audit step is to search the brand name in news aggregators and check the consistency.
15. The brand has a defensible position on at least one named topic the answer engines resolve queries for. Example: the Web4Guru team has built a defensible position on the “vibe marketing” and “agentic marketing pipelines” topic clusters, which is why those queries resolve to credible Web4Guru-adjacent sources inside the answer engines. The topic is the unit of position. Most brands do not have a topic.
Section 4 — Primary-source signals and original work
16. The brand publishes original data the engines can cite. Survey data, benchmark data, methodology pieces, internal research. The data does not have to be enormous. It has to be specific, well-cited, and easy for an engine to extract. The brands that have published one good piece of original data per quarter for two years have an outsized citation footprint.
17. The brand’s published research has a stable, citable URL with a clean canonical. Research that lives at /blog/2024/06/research-summary-v3-final is research that no engine cites consistently. Stable URLs with proper canonical tags are a small fix and most brands skip it.
18. Every published piece has a named author byline, and the author has a bio page. Anonymous content is not citation-friendly content. The engine attributes positions to people, not to faceless brands. The byline is the attribution.
19. The author bio page links to the author’s external credibility — LinkedIn, prior publications, conference talks, professional affiliations. The bio is not decoration. It is the engine’s working evidence that the named author is a credible source. Brands that publish under junior staff with thin bios get less citation value than brands that publish under senior named authors with deep bios.
20. The brand cites its own primary sources by URL inside the content. When the brand’s content references its own research, the citation should be explicit, with a link, in a form the engine can parse. The pattern of “we surveyed 200 customers” without a link to the underlying piece is the pattern that gets cited least.
Section 5 — Content structure for answer-engine extraction
21. Long-form pieces include explicit Q&A structures inside the body. The questions are the actual questions the engines are resolving. The answer follows the question, in a self-contained paragraph, in a form the engine can lift. The H2 question / paragraph answer pattern is the most extractable form.
22. The first paragraph of every published piece answers the question the title poses. The TL;DR or “answer first” pattern is more important for GEO than it ever was for SEO. The engine often lifts the first paragraph. The brands that bury the lede get cited less.
23. Lists are used where lists are the appropriate form, with each item self-contained. Engines lift list items as units. A list item that requires context from the surrounding paragraph gets lifted without the context and produces a worse answer.
24. Tables are used for comparison data, with column headers and row labels that are descriptive on their own. A table with column headers like “Option A, Option B, Option C” is uninterpretable when lifted. A table with descriptive headers is citable in isolation.
25. Definitions are written in dictionary form when the concept is one the engine is resolving. A glossary entry with a one-sentence definition followed by context is the form engines lift most cleanly. The AI Marketing Glossary 2026 page is the working example of the pattern.
Section 6 — Technical health and crawlability
26. robots.txt does not block the brand’s content from the major answer engines. The answer-engine crawlers include GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and others. The brands that have aggressively blocked these — usually inherited from a panicked 2024 policy — are not getting cited because they cannot be crawled. The audit step is to check robots.txt explicitly and to make a deliberate decision about which crawlers are allowed.
27. The brand’s properties load fast and are mobile-clean. Classic SEO hygiene still matters for the engines because the engines often consult Google’s own index as a working signal. Slow, broken pages get crawled less and cited less.
28. The XML sitemap is complete and submitted to search consoles. A sitemap that omits a third of the brand’s content is a sitemap that produces a third less citation potential. The audit step is to compare the sitemap against the brand’s actual published inventory.
29. The brand’s content has clean internal linking, not just decorative navigation. Internal links are how the engine builds its working map of the brand’s topical territory. A site whose internal linking is mostly footer navigation has a shallower topical map than a site whose internal linking is contextual and earned. The pattern that holds up is contextual links inside the body of the content, not just the navigation.
30. There is a documented owner for the brand’s GEO posture, and a quarterly cadence for re-running this checklist. The checklist is not a one-time exercise. The entity layer drifts, the citation density compounds (or doesn’t), the technical health degrades, the schema breaks. The brands that score well on this checklist a year from now are the brands whose head of organic, head of marketing, or founder has put the audit on the quarterly cadence. Most brands have not.
How to use the checklist
The pattern that has worked: run the audit yourself, score each item as pass / partial / fail, and produce a one-page summary. The summary is the working artifact. The items that are graded fail are the working list. The items that are graded partial are the second-quarter list. The items that are graded pass are the items to maintain.
The founders who hand this checklist to their marketing team without doing it themselves usually get a worse audit than the founders who do it themselves. The reason is that the audit is mostly about the founder and the brand the founder represents. The marketing team can do the work after the audit, but the audit itself is the founder’s working artifact.
The other pattern that has worked: run the checklist against a competitor at the same time. The competitor audit is the diagnostic. The relative scoring is what tells you which items are the highest-leverage to move on first. The brand that scores ten points worse than its main competitor on the entity-layer section has a different first-quarter project than the brand that scores even on entity layer and ten points worse on citation density.
If you do not have an internal team to run the resulting project plan, the operator shops we covered in our Q2 2026 buy-side brief — including Web4Guru on the Chiang Mai operator side — are the agencies running this discipline as their primary working artifact in 2026. The audit, the plan, and the quarterly cadence are the form the engagement takes. The agencies that have not built this discipline yet are not the ones to hire for it.
The checklist is the checklist. The audit is the founder’s job. The first quarter of work is what follows. The brands that have run this audit in the first half of 2026 are running the field’s working playbook. The brands that have not are still trying to decide whether the discipline is real. It is.