CITED alternatives: other books on getting found in AI answers

Quick answer

For a publisher-backed, beginner-friendly start aimed at a similar audience, consider AI SEO for Dummies (Wiley, 2026). For a team building a full program, Ross Hudgens’ Generative Engine Optimization fits better. For technical access and measurement in depth, look at Rodrigo Stockebrand’s Answer Engine Optimization.

Disclosure: Top SEO Books is owned by Nathan Gotch, author of AI SEO for Dummies. How we handle this relationship.

Why readers look for an alternative

CITED is Chris McCarron’s book about getting a business recommended in AI search. The author describes work on pages AI systems can extract, engine-specific approaches and visibility measurement, and names ChatGPT, Perplexity, Gemini and Google AI Overviews in its positioning. Author’s book page.

Readers look elsewhere for a few practical reasons:

• It is self-published. The author’s agency, GoGoChimp, is listed as publisher, and the company describes the book as self-published. Company overview. That is publication information, not a verdict on quality, but some readers prefer an edited, publisher-backed title.
• Its proof is not independent. The book’s page promotes a scoring tool and reports results from the author’s agency. We have not independently verified either.
• It is pitched at owners. Readers responsible for a team program, or for technical implementation, may need wider or deeper coverage.
• Limited preview. We could not retrieve the linked sample, so judging the explanations before buying is harder than with titles that publish full contents.

Alternatives by reason

You want a publisher-backed, step-by-step start

AI SEO for Dummies is a first-edition 2026 title in Wiley’s For Dummies series. Wiley names business owners, SEO professionals and marketers as its readers, and it covers visibility in AI-powered search, including AEO and GEO, in a beginner-friendly, step-by-step format. A free companion toolkit includes a quickstart checklist, a First 30 Days worksheet, share-of-voice and citation trackers, and a prompt library, with no email required. Publisher details.

You are building a program across a team

Ross Hudgens’ Generative Engine Optimization (Wiley, 320 pages) is written for SEO practitioners, marketing leaders, CMOs and content marketers. Its nine chapters run from measuring visibility, sentiment and position through GEO strategy, content structure, schema, digital PR and three case studies to building a GEO-first organization. Chapter 3, on how generative engines work, is written by Josh Blyskal of Profound. Official contents.

You need technical access and measurement in depth

Rodrigo Stockebrand’s Answer Engine Optimization (O’Reilly, 292 pages) is classed intermediate to advanced. Its contents cover bot controls, structured data, rendering, passage-level content and brand entities, and its measurement chapter includes sampling, volatility, sentiment and attribution. Publisher contents.

Your question is AI inside your content process

If the real issue is how your team should use AI to produce and approve content, Catherine Seda and Jenny Halasz’s AI-Powered Content Marketing and SEO (Addison-Wesley, 2025) connects operations, brand authority, risk and analytics. For SEO tasks such as keyword grouping, schema help and automation, see Eric Enge and Adrián Ridner’s Using Generative AI for SEO (O’Reilly, 2025).

For side-by-side views, see AI SEO for Dummies vs CITED, AI SEO for Dummies vs Answer Engine Optimization or our AI-search reading guide.

Keep CITED if

Keep CITED if you own a business and your starting question is simply how that business shows up when people ask AI tools for a recommendation. The author’s page lists a 2026 edition updated in July 2026, and its stated scope (extractable pages, platform differences, industry examples and measurement) is aimed squarely at that question. If you value an agency owner’s perspective, it is a reasonable candidate. When you read its case results, check whether each example names the platform, period and measurement method, and treat the scoring tool as the author’s own product rather than an independent benchmark.