{"id":2317,"date":"2025-06-26T18:34:25","date_gmt":"2025-06-26T13:34:25","guid":{"rendered":"https:\/\/bethturnage.com\/?p=2317"},"modified":"2025-06-26T18:39:10","modified_gmt":"2025-06-26T13:39:10","slug":"is-publishing-utilizing-ai-to-weed-out-your-manuscript","status":"publish","type":"post","link":"https:\/\/bethturnage.com\/?p=2317","title":{"rendered":"Is Publishing Utilizing AI To Weed Out Your Manuscript?"},"content":{"rendered":"

\"AI(Beth Turnage)<\/strong> <\/p>\n

Is AI Reading Your Manuscript Before Your Agent Does?<\/strong><\/p>\n

There\u2019s a quiet shift happening in publishing\u2014and many authors don\u2019t know about it yet.
\nWe\u2019ve been warned not to AI to write your novels. Don’t taint your creative work with any whiff of AI. And sure, that\u2019s solid advice if we\u2019re talking about 100% AI generated prose. But here\u2019s the thing\u2014on the other side of the desk, the industry is beginning to use AI themselves.<\/p>\n

Editors, agents, and some publishers are experimenting with AI-powered tools to sort through the slush pile, analyze structure, and flag books with commercial potential. The manuscript isn\u2019t just being read\u2014it\u2019s being scanned, mapped, and matched.<\/p>\n

Let\u2019s talk about what\u2019s really out there, what these tools do (and don\u2019t do), and how you can use that knowledge to your advantage.
\n
\nAuthor-Facing Tools (a.k.a. The Ones You Know About)<\/strong><\/p>\n

I\u2019ve tested one of my manuscripts against most of the big players. This is a general overview. In further posts, I tease out their strengths and weaknesses for each platform individually.
\nAutoCrit<\/p>\n

If you\u2019re writing in a genre lane\u2014thriller, romance, fantasy\u2014AutoCrit can be helpful for pacing, repetition, and sentence rhythm. It gives you feedback on passive voice, filler words, overused phrasing.<\/p>\n

The story analyzer needs work. It gets a lot of details wrong, even at a single chapter level. Like most story analyzers it misses the story connective tissue we call subtext. <\/p>\n

ProWriting Aid<\/p>\n

Solid for grammar, style, and structural basics. If you label your scenes manually, it can chart pacing and balance. But again\u2014only what you tell it. It\u2019s a mirror, not a mind.<\/p>\n

Strength: Great polish tool.
\nWeakness: Pacing analysis depends on markup. Subtext is invisible to ProWriting Aid<\/p>\n

Fictionary<\/p>\n

This one tries to help you map story beats\u2014scene goals, character arcs, POV balance. It\u2019s visual-first, so you get those lovely graphs and diagrams. But it still depends on your input.<\/p>\n

Strength: Structural awareness and pacing visualizations.
\nWeakness: Doesn\u2019t analyze the text itself. Everything\u2019s based on your data entry.<\/p>\n

Claude & ChatGPT<\/p>\n

They\u2019re not designed for story analysis, but if prompted correctly, they can give useful narrative feedback. Claude is more sensitive to tone and subtlety. ChatGPT is better for scene structure and emotional logic.<\/p>\n

Strength: Can \u201cread\u201d for theme, arc, and subtext\u2014if guided.
\nWeakness: Output depends entirely on how you ask. No built-in understanding of publishing metrics.<\/p>\n

Tools Behind the Curtain<\/p>\n

Now let\u2019s talk about the tools you don\u2019t see\u2014the ones agents and publishers might be using when they say, \u201cWe\u2019ll get back to you.\u201d<\/p>\n

Inkbloom<\/p>\n

Whispers only so far, but from what I\u2019ve heard this is a publisher-and agent-facing tool used to triage submissions. Think of it as a pre-screening system. It maps pacing, structure, and possibly compares against successful titles in its database.<\/p>\n

You won\u2019t get access to it. You won’t even know if it has processed your book. But if they\u2019re using it to weed out 80% of the pile, it matters.<\/p>\n

StoryFit<\/p>\n

Used by some publishers and film studios. It runs deep narrative analytics\u2014character relationships, pacing shifts, theme density, emotional tone. It also predicts audience appeal based on genre and trends.<\/p>\n

Strength: Data-rich analysis.
\nWeakness: It\u2019s built for buyers, not writers. You don\u2019t see the report.<\/p>\n

Inkitt<\/p>\n

This one\u2019s author-facing, but more of a popularity contest with a prediction engine. If your story goes viral on the platform, their AI might flag it for publishing potential.<\/p>\n

What They All Miss<\/p>\n

Here\u2019s the core truth\u2014no AI tool currently understands story the way a human does<\/p>\n

They can\u2019t read between the lines. They miss irony. They don\u2019t grasp character motivation unless you spell it out. They don\u2019t feel pacing\u2014they measure it.<\/p>\n

What they do well is pattern recognition: repetition, imbalance, weird shifts in tone or POV. Useful stuff\u2014but not the whole story.<\/p>\n

How to Prepare<\/p>\n

You don\u2019t need to outsmart the machines. You need to know what they\u2019re likely to flag\u2014and then write better than their metrics.<\/p>\n

Use these tools to stress test your story. <\/p>\n

Think like an editor: is your pacing solid? Are your POVs balanced? Is your structure clear?<\/p>\n

Keep your voice. They can\u2019t mimic that. Yet.<\/p>\n

How Do We Know If An Agent or Publisher Is Using an AI Tool?<\/strong><\/p>\n

That\u2019s the million-dollar question\u2014and part of what makes this whole topic feel so shadowy. The short answer is: you can\u2019t always know which publishers (or agents) are using AI tools. But you can start watching for the signals.
\nHere\u2019s a breakdown of how to read between the lines, where to dig for clues, and how to stay ahead of this quietly evolving trend:<\/p>\n

If you\u2019re querying, it might help to know what\u2019s waiting on the other end. You\u2019re not just writing for an agent anymore\u2014you might be writing for their algorithm.<\/p>\n

How to Tell If a Publisher (or Agent) Is Using AI Tools<\/strong><\/p>\n

1. Look for Automation in the Submission Process<\/p>\n

If a publisher or agencg uses an online submission form with metadata fields for genre, word count, tropes, comps, or character arcs, asks for \u201cstructured\u201d synopses, like beat summaries or scene breakdowns; and limits submissions to specific file types (especially .docx) it\u2019s possible they\u2019re feeding those submissions into internal systems or AI tools for sorting. This doesn\u2019t guarantee AI involvement, but it raises the odds.<\/p>\n

2. Watch Their Turnaround Time<\/p>\n

Are they responding faster than seems humanly possible? Or sending rejections within minutes or hours, without a read receipt? Do they give form feedback that oddly matches algorithmic \u201ctells\u201d (e.g., pacing imbalance, unclear genre identity)?<\/p>\n

This could suggest a first-pass AI filter\u2014especially if their response times have shortened in the past 1\u20132 years.<\/p>\n

3. Check for Tech Partnerships<\/p>\n

Some publishers have been public (or semi-public) about adopting AI tools or working with story-data platforms. Watch for press releases mentioning tools like StoryFit, Inkitt, or Mariner. Clock AI mentions in industry conferences like Digital Book World, London Book Fair, or Publisher\u2019s Weekly job listings for roles like \u201cnarrative data analyst,\u201d \u201cAI editor,\u201d or \u201cmarket insights specialist.\u201d<\/p>\n

4. Review Their Title Trends<\/p>\n

If a publisher\u2019s recent catalog displays sudden homogenization of genre voice, heavily mirrors current market trends, tropes, or rapidly pivots in theme, tone, or pacing, it may be responding to data-driven feedback loops\u2014the kind that AI tools provide.<\/p>\n

5. Ask Carefully at Conferences or Workshops<\/p>\n

Agents and editors often talk more openly in private panels or writer events. You can ask questions such as
\n\u201cDo you use any internal manuscript screening tools for pacing or structure?\u201d<\/p>\n

\u201cHave you seen AI change the way you process submissions?\u201d<\/p>\n

Even if they don\u2019t name a tool, they may confirm trends like shorter reads, \u201cflagged\u201d manuscripts, or structural redlining.<\/p>\n

Why Publishers Aren\u2019t Telling You<\/strong><\/p>\n

Reputation risk: Publishers don\u2019t want backlash for \u201cletting robots choose books.\u201d<\/p>\n

Slush pile triage: They get thousands of submissions; AI helps speed up what interns used to do.<\/p>\n

Non-disclosure: If they\u2019re using proprietary tools like Inkbloom, they may be under strict NDAs.<\/p>\n

I want to be clear about my position. I have no objections to using AI as part of the analysis process. It is a tool, and a useful one. My concern arises from the lack of transparency by publishers and agents regarding their use of AI, as successful querying relies on customizing the query to meet the specific demands of each agent or publisher. For instance, if a machine tool flags issues like \u201ccharacter development is flat,\u201d it may be ignoring the subtext that helps build the character arc. Or if the metadata tags within the document are skewed, then the machine tool can read the issue as \u201cstory arc not clearly defined.\u201d The writer needs to address these concerns before querying, so they can include the scaffolding a machine can read in the manuscript, the query, and the synopsis. <\/p>\n

What You Can Do Right Now<\/strong><\/p>\n

Assume AI might be reading your manuscript and make your structure crystal clear.<\/p>\n

Start treating comp titles, chapter pacing, and character arcs like metadata.<\/p>\n

Use tools like AutoCrit or Fictionary not just to improve your writing, but to simulate the kinds of filters your manuscript may encounter.<\/p>\n

When querying, consider including a structured synopsis that makes your story easy to scan by both human and machine eyes.<\/p>\n

Final Thought<\/strong><\/p>\n

You are the author.But your manuscript is becoming data, whether you like it or not. Understanding the tools doesn\u2019t mean surrendering to them. It means equipping yourself to stay competitive in a world that\u2019s quietly changing the rules.<\/p>\n

Note: ChatGPT involved in research of this article. Image from Deposit Photos. <\/p>\n","protected":false},"excerpt":{"rendered":"

(Beth Turnage) Is AI Reading Your Manuscript Before Your Agent Does? There\u2019s a quiet shift happening in publishing\u2014and many authors don\u2019t know about it yet. We\u2019ve been warned not to AI to write your novels. Don’t taint your creative work with any whiff of AI. And sure, that\u2019s solid advice if we\u2019re talking about 100% […]<\/p>\n","protected":false},"author":2,"featured_media":2318,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[594,563,595],"tags":[601,613,596,599,597,604,598,605,600,608,609,615,603,610,614,607,606,602,612,611],"class_list":["post-2317","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agents","category-am-querying","category-publishing","tag-ai-and-literary-agents","tag-ai-in-literary-submissions","tag-ai-in-publishing","tag-ai-in-the-slush-pile","tag-ai-manuscript-analysis","tag-ai-manuscript-screening","tag-ai-tools-for-authors","tag-ai-tools-for-novel-editing","tag-are-publishers-using-ai","tag-author-querying-tips","tag-autocrit-vs-prowritingaid","tag-book-metadata-for-querying","tag-how-ai-reads-your-manuscript","tag-how-to-pass-ai-manuscript-review","tag-machine-readable-synopsis","tag-manuscript-ai-filters","tag-publishing-industry-ai-tools","tag-querying-with-ai-in-mind","tag-storyfit-and-inkbloom","tag-writing-for-human-and-algorithm"],"jetpack_publicize_connections":[],"_links":{"self":[{"href":"https:\/\/bethturnage.com\/index.php?rest_route=\/wp\/v2\/posts\/2317","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bethturnage.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bethturnage.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bethturnage.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bethturnage.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2317"}],"version-history":[{"count":3,"href":"https:\/\/bethturnage.com\/index.php?rest_route=\/wp\/v2\/posts\/2317\/revisions"}],"predecessor-version":[{"id":2321,"href":"https:\/\/bethturnage.com\/index.php?rest_route=\/wp\/v2\/posts\/2317\/revisions\/2321"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bethturnage.com\/index.php?rest_route=\/wp\/v2\/media\/2318"}],"wp:attachment":[{"href":"https:\/\/bethturnage.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2317"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bethturnage.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2317"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bethturnage.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}