---
title: "Summer 2026 Reading Guide for Book Marketing: Search, Social, AI, and Word of Mouth"
description: "Summer is underway and I’m writing this from Boxcar HQ, which is currently a deck chair with a view. What bliss. I have had four days of downtime, which means my brain has entered its seasonal..."
url: https://www.boxcarmarketing.com/book-marketing-summer-2026/
date: 2026-07-06
modified: 2026-07-06
author: "Monique Sherrett"
image: https://www.boxcarmarketing.com/wp-content/uploads/book-marketing-summer-reading.jpg
categories: ["Marketing Strategy & Tips", "Search Marketing (SEO & Paid)", "Social Media Marketing"]
type: post
lang: en
---

# Summer 2026 Reading Guide for Book Marketing: Search, Social, AI, and Word of Mouth

Summer is underway and I’m writing this from Boxcar HQ, which is currently a deck chair with a view. What bliss.

I have had four days of downtime, which means my brain has entered its seasonal hyper-whirl. I have so many thoughts about AI, search, social, discoverability, paid traffic, word of mouth, and what comes next for books.

Rather than attempt to solve the future of publishing in one post, I’m structuring this as a summer reading list.

These are the pieces I’ve been thinking about because, together, they reinforce one big point: our familiar tech tools and marketing channels have changed. AI is certainly one force, but economics, platform incentives, reader behaviour, and retail consolidation are playing a role too.

Here are 5 pieces I’d read, and 1 action item.

1. **[A pitch is not a strategy](https://open.substack.com/pub/kathleenschmidt/p/a-pitch-is-not-a-strategy)** → PR continues to matter. More visibility is better. But you need a long-term strategy, not a list of places to pitch.
2. **[Ann Patchett on word of mouth](https://www.youtube.com/shorts/pk6g1Ioh1LA)** → You can have the biggest tour, the largest venues, the best publicity and ads, but the real engine is human recommendation.
3. **[Social reach has changed](https://whatworks.fyi/articles/social-media-reach)** → Social platforms are now discovery machines. They show your content to non-followers. You need to shift gears.
4. **[Search / AI discoverability has changed](https://www.boxcarmarketing.com/google-search-ai-search/)** → Search is less dependable as a traffic source. People are shown answers, not links they have to parse themselves. What does your website offer that cannot be answered within an AI Overview or via chat in an AI tool?
5. **[Page Two on AI in writing and editing](https://pagetwo.com/how-is-ai-changing-writing-and-editing/)** → AI is helpful for some things, but also makes for a messy editing process when it has stripped out the emotion and original voice of the author.

**The Action Item:** **[Do the AI Governance Sprint](https://docs.google.com/document/d/1qqnVeDAeGaFF_Ds0KbQDunwlVioovjfDANsyDMmga4c/edit?usp=sharing)** → Here is the first Boxcar Marketing AI resource. It’s a 90-min workshop to help publishing teams verbalize what is acceptable and unacceptable AI use. Take the document, it’s free to use, run the workshop yourselves, ask me follow-up questions as needed, and provide feedback or modifications. I want to share this as widely as possible.

Here are my recommended reads and more about why.

## If you think publicity means “get more pitches out,” read Kathleen Schmidt on why a pitch is not a strategy

Read: [https://open.substack.com/pub/kathleenschmidt/p/a-pitch-is-not-a-strategy](https://open.substack.com/pub/kathleenschmidt/p/a-pitch-is-not-a-strategy)

Kathleen Schmidt’s point is beautifully blunt: a pitch is a tactic. It is not a strategy.

This matters because a lot of book marketing still gets planned as a list of outputs: send the pitch, post on Instagram, boost the post, update the website, email the list, pray politely to your diety of choice.

But a strategy should answer bigger questions. Who needs to care? Why now? What is the story around this book, author, list, or press? What are we trying to make happen? What happens *after* someone notices?

**Why this matters for marketers:** Publicity is hard work, and in-house publicity is limited by time. The job is to connect the dots between publicity, search, social, email, author platforms, bookseller/librarian relationships, events, paid campaigns, and word of mouth.

## If you need a reminder that books rely on word of mouth, watch Ann Patchett explain what sells books

Watch: [https://www.youtube.com/shorts/pk6g1Ioh1LA](https://www.youtube.com/shorts/pk6g1Ioh1LA)

Ann Patchett says the thing that actually sells books is someone reading a book and turning to another person to say: you have to read this!

This is both deeply obvious and somehow still easy to forget when staring at sales dashboards.

Advertising can help. Publicity can help. Social can help. Metadata can help. Retail placement can help. But the engine we are trying to activate is still human enthusiasm.

A reader loves a book. A bookseller presses it into someone’s hands. A librarian recommends it to a patron. A teacher puts it on a syllabus. A parent tells another parent. A podcaster mentions it to their audience. A friend texts a friend.

That is the [1,000 true fans](https://kk.org/thetechnium/1000-true-fans/) idea for publishers. Not a mystical number. Not a hustle-culture mandate. Just a reminder that a small group of genuinely activated people can matter more than a large, passive audience.

Patchett is a bookseller as well as an author, so I doubt she is saying that enthusiasm alone matters more than audience size, pricing, distribution, cover design, category fit, metadata, or retailer algorithms. I think she’s say that you can have all the other things and without reader enthusiasm, you fail.

**Why this matters for marketers:** the goal is not to be everywhere. The goal is to be in as many relevant places as makes sense, with a clear path for the right people to deepen the relationship.

## If you’re still thinking of social as talking to your followers, read this piece on social reach

Read: [https://whatworks.fyi/articles/social-media-reach](https://whatworks.fyi/articles/social-media-reach)

This piece is useful because it makes something abstract feel very concrete: on social platforms, especially video-first feeds, you may not be talking primarily to the people who already follow you.

That is not a failure. That is increasingly how the systems work.

TikTok’s For You feed is built around recommendations based on behaviour and interest signals, not just accounts someone follows. Meta’s own recommendation guidelines describe recommended content as content that “doesn’t come from accounts you choose to follow.” YouTube’s recommendation system is also built to identify relevant content for each viewer based on signals like watch history and context.

In other words: follower count is not reach. And social is not a mailing list.

For publishers, I’d translate the shift this way:

Social media has not stopped mattering. But its role has changed. It is less like hand-selling to your dear followers and more like placing an curated sampler table in the middle of a giant bookstore. The platform is unpredictable. It may show your book, author, or social content to people who follow you, but more likely it’s to those who have never heard of you. The job is not to collect followers for the sake of followers. The job is to move the right people from this social space (where you borrow or rent attention) into a space you own (a place where you can nurture the relationship).

Think newsletter. Podcast. Website. Event. Preorder. Educator guide. Series page. Bookseller contact. Librarian list. Author community. Every post should have a clear call to action that directs people to a deeper, more relevant engagement.

**Why this matters for marketers:** design social posts for discovery, but aim for community, customer service, events, retention, and focus on converting that social audience to another channel. Watch non-follower reach, saves, shares, profile visits, link clicks, email signups, podcast subscriptions, and assisted traffic to title pages. Followers are a signal. They are not the whole audience. Often they are not the majority audience for your posts. Re-think what you’re doing based on who you are actually reaching.

## If you’re worried that search, social, and AI are all sending less traffic, read Creative Boom on staying discoverable

Read: [https://www.creativeboom.com/tips/eight-ways-to-stay-discoverable-when-search-social-and-ai-stop-sending-people-your-way/](https://www.creativeboom.com/tips/eight-ways-to-stay-discoverable-when-search-social-and-ai-stop-sending-people-your-way/)

This piece is aimed at creatives, but it maps neatly onto publishing. It’s the ultimate 8 things to do. Really I should have just told you to read this piece and do what’s described.

The premise is that the “free” routes to discovery are closing or changing. Search is being reshaped by AI answers. Social feeds are less dependable. Referral traffic is harder to read. Platforms want to keep people inside their own environments.

The useful advice is not “abandon the internet.” It’s diversify your signals.

Be findable in more than one place. Build direct relationships. Make your expertise and identity clear. Create work worth mentioning. Show up where your audience already spends time. Make it easy for people, platforms, and yes, machines, to understand who you are and why you matter.

**Why this matters for marketers:** discoverability is no longer just SEO. It is metadata, website structure, author pages, schema, newsletters, reviews, retailer pages, social proof, interviews, podcasts, partnerships, events, backlinks, citations, and repeated human recommendations.

## If you want my take on Google’s shift away from being a Search Engine, read this rant

Read: [https://www.boxcarmarketing.com/google-search-ai-search/](https://www.boxcarmarketing.com/google-search-ai-search/)

I wrote this because publishers need to understand that AI search is not just a new search results layout. It changes the relationship between the searcher, the source, and the answer.

For years, the deal was roughly: publishers and website owners made useful content; Google indexed it; users searched; Google sent people to the source.

That deal is changing. AI answers summarize, synthesize, and sometimes satisfy the searcher before the click. That creates obvious traffic questions, but also deeper questions about attribution, authority, context, copyright, and source literacy.

**Why this matters for marketers:** publishers need to make their sites useful for people and legible to machines. SEO still matters, so does clear metadata, structured pages, strong author/title information, accessible summaries, internal linking, schema, and genuinely useful content. Building brand trust is important too. If AI search compresses the journey, then being the source people recognize, trust, and seek out directly becomes more valuable. At the moment, the brand trust is with the dominant platforms.

**The big aside: **Publishers, record labels, production companies, and other cultural producers have spent decades building reputation inside their industries. Publishers are trusted by agents, authors, booksellers, librarians, reviewers, programmers, festival buyers, journalists, and peers. But the public relationship belongs to Amazon, Google, Goodreads, Spotify, Netflix, YouTube, TikTok, Instagram, or the podcast app. Readers may love the book, the song, the show, or the author, but they often do not know the publisher, label, imprint, studio, or production company that made the work possible. That gap is where platforms have gained their power. They become the place people search, browse, sample, buy, stream, recommend, review, and return. The tech platforms own the habit. They see the data. They shape the recommendations. And over time, they become the trusted interface between the public and culture. So ok, publishers are unlikely to beat these huge platforms. But they can be better at being trusted sources of taste, context, care, expertise, and human recommendation.

If platforms are becoming the public interface, publisher websites need to become more valuable, not less. They should answer the questions platforms compress or ignore:

- Why this book?
- Who is it for?
- What should I read next?
- What makes this author credible?
- What conversation does this book belong to?
- Is there a reading guide, excerpt, interview, playlist, map, timeline, or classroom resource?
- Where can I buy it, borrow it, teach it, review it, or host the author?
- What other books from this press belong with it?

This also matters for AI search. If machine-generated answers are going to summarize sources, then publishers need pages that are clear, structured, specific, and trustworthy.

The website cannot just be an online catalogue. It has to be a source of context.

I have a lot to say on this but I’ll end the aside and save it for another time.

## If you’re trying to figure out where AI belongs in publishing, read Page Two on AI, writing, and editing

Read: [https://pagetwo.com/how-is-ai-changing-writing-and-editing/](https://pagetwo.com/how-is-ai-changing-writing-and-editing/)

This is a thoughtful, practical conversation between Trena White and Kendra Ward at Page Two about acceptable uses of AI in manuscript development.

The point I keep coming back to is the distinction between using AI around the creative process and replacing the creative work itself. Page Two’s position is that the books they publish should be made of original sentences, original thinking, and human experience. Specifically, that we should celebrate and hold on to the emotions and unique human voice of the author vs. flattening it through AI writing and editing.

[Novelist Dave Eggers argues this same point for fiction as well](https://www.instagram.com/reel/DaVxWwJquqH/).

Trena and Kendra’s conversation gets more interesting when they talk about the grey areas: brainstorming chapter titles, pressure-testing an argument, summarizing research, or using AI heavily in the process without letting it write the book.

That’s the nuance publishers need. There are risks, but we can address the tools, the prompts, the user skill, the review processes needed to also identify the low-risk uses.

Not “AI is good” or “AI is bad.” More like: where does AI support human judgment, and where does it start to obscure the very thing readers are coming to books for?

**Why this matters for marketers:** the same question applies to marketing copy, metadata, sales handles, social posts, alt text, ad testing, and campaign reporting. AI can help with structure, speed, and options. But your competitive advantage is still taste, positioning, audience knowledge, and editorial judgment.

## I think every team needs an AI policy. Even if it’s “no AI”. Make this your summer project

One reason I liked the Page Two piece is that it shows how quickly AI conversations get specific.

It is easy to say, “We don’t use AI for creative work.” It is harder to answer:

- Can staff use AI to brainstorm campaign angles?
- Can they summarize a manuscript?
- Can they upload unpublished material into a public tool?
- Can they use AI to draft alt text?
- Can they test ad copy?
- Can they use AI to analyze sales reports?
- Can they use AI to write reader-facing copy if a human edits it?
- What about author-submitted material? Illustrator references? Translation? Metadata? Rights information? Contract details?

This is why I think AI governance is a practical summer project for publishers.

Not a 48-page policy that sits in a folder. Not a blanket ban that everyone quietly works around.

A useful AI governance sprint should help your team identify where AI is already being used, where it could responsibly be used, and where the risks are too high. The goal is to give staff enough clarity that they can experiment safely without putting confidential, copyrighted, contractual, personal, or unpublished material in the wrong place. Even if you are a hard-core “no AI” press, then the document is a useful way to outline your expectations to authors, vendors, freelancers, sales reps, and third-parties who work with you to produce, distribute, and sell.

At Boxcar Marketing, I’ve been working on a [90-minute AI Governance Sprint](https://docs.google.com/document/d/1qqnVeDAeGaFF_Ds0KbQDunwlVioovjfDANsyDMmga4c/edit?usp=sharing). It is designed to help marketing teams map current and potential AI use cases into three practical categories:

**Allowed by default:** low-risk uses involving public, non-copyrighted, non-sensitive material with human review.

**Grey zone:** uses involving mixed or uncertain sensitivity, rights, consent, or public-facing impact.

**Prohibited unless approved:** uses involving confidential, restricted, personal, contractual, sales, rights, or substantial unpublished creative material in public/general-purpose tools.

By the end, the team has a first-pass AI use-case map, a plain-language risk framework, and a short list of decisions that need leadership input.

In other words, something useful enough to guide Monday morning behaviour.

If this is the kind of project your team has been circling but not quite starting, summer is a good time to do it. Fall will not be less busy. Mysteriously, it never is.

## The summer-reading takeaway

Successful book marketing is a connected system:

- useful content that helps people understand the book
- clear metadata that helps platforms understand the book
- social posts designed for discovery
- owned channels designed for relationship building
- publicity connected to strategy
- websites that answer real reader, bookseller, librarian, educator, and media questions
- authors supported with practical tools
- campaigns measured by meaningful next steps, not vanity metrics
- and, still, always, readers telling other readers: you have to read this

That is the work. It has not changed. We just need to double down on the age-old question: “How do we build enough meaningful signals, relationships, and repeatable pathways that people can find our books, trust our content, and tell other people about our authors?”

The tools function differently, which requires review, but the underlying intent of connecting books to readers remains the same.

**A pitch is not a strategy** → marketers need to think beyond isolated tactics.

**Ann Patchett / word of mouth** → the real engine is still human recommendation.

**Social reach has changed** → the platforms are now discovery machines, not follower-comms systems.

**Search / AI discoverability has changed** → search is less dependable as a traffic source.

**Page Two / AI in publishing** → AI is not an issue you can isolate; it is changing the work itself.

**AI Governance Sprint** → Take, for free, my guide to running an AI governance sprint so you end summer with a practical document outlining your AI policy.

Now back to my deck chair.