- Brand
- Hermoso AI
- Category
- Marketing
- Primary Subcategory
- AI Search & LLM Visibility (AEO/GEO)
Integration details
Description
Hermoso runs your marketing from ChatGPT. Ask in plain words and it does the work across four areas you can use together or on their own. Research: see the ads competitors are running right now, find a brand's competitors from its website, break down which hooks and themes their longest-running ads use, and mine ad angles from real customer language. Create: make on-brand image and video ads from your saved brand profile (products, logo, colours and voice), remake a video or static ad you like for your brand from its link, and turn one finished ad into headline or hook variations for testing. Finished files land in your Hermoso Library. Publish: schedule posts to the social accounts you connect in your Hermoso workspace, such as Instagram, Facebook, TikTok, YouTube, LinkedIn, X and Threads, and see what is queued and what already went out. Measure: see which posts and hooks perform best on each channel, and get a review of your paid campaigns across the ad accounts you connect (it changes nothing in them), with suggestions on what to scale, pause, fix or test next. Who it is for: founders, marketers, creators and agencies who want their marketing handled from one conversation. Limits: Hermoso needs a Hermoso account, and it only acts on the brands and accounts you connect to it. It never posts without your instruction, and scheduled posts go out on the accounts you choose. Research and creating ads use credits from your Hermoso account. Ad libraries only show what the platforms make public, so some advertisers return few or no ads. Video ads take one to three minutes to render.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- AI Search & LLM Visibility (AEO/GEO)
- Secondary Subcategories
- None listed
- Brand
- Hermoso AI
- Access
- Account required
- First tracked
- 2026-10-16
- Tool count
- 36
- Geography
- US
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Competing in ChatGPT AI Search & LLM Visibility (AEO/GEO)
View Category36 tools agents can invoke
One-click STATIC-AD CLONE (the web app calls it Clone): rebuild a competitor/reference STATIC (image) ad as an on-brand version — SAME layout, composition and energy, but YOUR product, brand colours, logo and voice, with every trace of the source brand removed. Pass `imageUrl` = the static ad image to clone. Uses your saved brand (pass brandId to target a specific profile — that switches this key's active profile like use_brand). IMAGES ONLY — for a video ad use remake_video_for_brand with its link, then render_ad. Bills as one image generation.
clone_static
Tear a competitor's ad strategy down into an actionable playbook: their opening-hook MIX, longest-running campaign THEMES, the WHITE SPACE nobody in their set runs, 2-3 render-ready COUNTER-PLAYS, and the territories they own that you should avoid. Pass `competitor` {name, domain?}. CONTRACT: supply `ads` (raw ad objects from a prior pull_competitor_ads / search_meta_ads call) to tear exactly those down, OR omit `ads` and this pulls the competitor's real Meta ads first (spends a credit or two, longest-running = proven winners). Auto-tailors the white space + counter-plays to YOUR saved brand. Spends credits (free when you pass ads).
competitor_teardown
Add a NEW profile (a brand, client, creator or personal workspace) and switch to it. Each has its OWN brand details, memory, swipefile, Library, avatars, skills, playbooks and connectors; nothing leaks between them. Use draft_brand to FILL it and update_brand to edit it. Re-running with the same name returns the existing profile instead of a duplicate. Creating it is free. Drafting a NEW brand into it (draft_brand) needs the credits for its research on the balance, about 100; with fewer, draft_brand refuses before anything runs or is charged and says how many it needs and how many the account has.
create_brand
Return the account credit balance, the credits this account has spent on the calls listed, those recent priced calls, and costModel — the one-sentence rule of what costs credits. THE RULE: only AI model runs and Ad Spy research spend credits; publishing, scheduling, ads management, analytics, comments, DMs and connectors are FREE on every plan (X is the single per-call exception). Check before kicking off paid generation; answer "does posting cost credits?" with NO.
hermoso_credits
Fill in a profile (a business brand or a creator) from a website domain, a free-text description, or a social handle, into a {name, products, logo, …} object you can pass to plan_ad / generate. 0 credits. IMPORTANT: a domain can resolve to a DIFFERENT company than intended (e.g. bala.com is an engineering firm, not the Bala fitness brand at shopbala.com). Before spending any credits on research or renders, VERIFY the returned `name` (and `summary`) match the brand the user meant; if it looks wrong, re-draft with the correct domain or a description (pass save:false until confirmed) — this tool cannot ask the user, so the caller owns that check.
draft_brand
EDIT an existing image in place with a plain-language instruction and keep everything else: 'make the headline bigger', 'add our logo bottom right', 'swap the background for a kitchen', 'remove the person on the left', 'erase all the text'. Pass `image` (URL, Library item, upload_file URL or local path) and `instruction`. The same edit the web Studio's Edit runs: composition, aspect ratio, people and every untouched line of text stay as they are; the saved brand's real name and website are pinned so an added line never invents one, and the brand's real logo is attached when the instruction asks for the logo. Set removal:true when the edit STRIPS text, branding or an object, so nothing branded is put back. When the saved brand has a product photo and the ad shows that product, the photo rides with the edit and the product's label is read and checked against it: re-printed from the photo only when it came out wrong (the check alone is charged when it is right; one small extra charge finds the product first). fixLabel:false turns that off. For a precise region, pass `mask` (see generate_image). One image edit's credits; returns the new image URL. For a new image from a prompt use generate_image; to rebuild a competitor's ad for your brand use clone_static.
edit_image
One error group in full by fingerprint (from list_errors): every field, plus the most recent redacted occurrences — status, connector, job id, workspace, and a shape-only echo of the inputs. This is what makes a bug reproducible. Read-only, 0 credits.
error_detail
Discover a brand's competitor / similar / adjacent brands from its domain (Claude grounded by web search). mode=competitors (default, excludes the searched company), inspiration (best relevant ads incl. it), or company. Costs a few credits for the discovery model (no ad-data charge); free inside a new account's first-brand setup.
find_competitors
Render a finished ad IMAGE and return its served URL. refImages (local paths or URLs) force product-accurate compositing (drops a real product into the scene). MULTI-BRAND CAUTION: useBrand hydration pulls the SAVED workspace brand — when working a brand that is NOT the saved one (a fresh draft_brand), pass that brand's own productImages/logo as refImages (and useBrand:false) or the output composites the WRONG brand's product. NOTE that the saved-brand hydration also decides the ENGINE: attaching product photos routes the render to the compositing model, so a `model` you named is only honoured when no references ride — pass raw:true (or useBrand:false) to render on exactly the model you asked for. model = a catalog id from hermoso_capabilities (omit for the default). PUTTING A REAL PRODUCT IN A REAL PERSON’S HANDS, or a garment on them, is a DIFFERENT KIND OF ROW and you must name it: the ids marked `needsRefs` with a `refsMax` in hermoso_capabilities take a person photo first and up to three product/garment photos after it, and they EDIT THE PHOTOGRAPH rather than compositing — THE PERSON IS RE-POSED to hold or wear the thing, so their stance and hands change while their face, clothing, setting and lighting are kept. That is not an object swap in a fixed frame; if you needed the rest of the photograph untouched, this is the wrong tool. Every finished render says which way it went. RAW MODEL ACCESS: raw:true dispatches your prompt to the model BYTE-IDENTICAL — no rewriting, no appended guidance, no negative prompt, no brand references attached on your behalf. Credits, the durable delivery of the finished asset and the per-model validation are unchanged. Fast (seconds). Spends credits.
generate_image
Render a RAW video clip from your own prompt and return its served mp4 URL. For finished brand ADS prefer render_ad (it runs the Studio quality pipeline — composited text, clean speech, end card, music); use this for raw/experimental clips or precise manual control. ONE generation = one continuous clip up to the model’s longest listed duration — the longest-clip model in the catalog today renders a full multi-beat spot of up to 30 SECONDS in ONE unbroken take with native synchronized audio, so never assume a generic 8–10s cap and never stitch something that fits one clip; durationSeconds must be one of the model’s durations from hermoso_capabilities, which is the live list. TO GET A SPECIFIC MODEL, NAME IT in `model`: an unnamed render is routed by the server’s own auto-pool, which is narrower than the catalog, so the longest-clip and highest-resolution models are reached by naming them. Renders take 1–3 min. refImage anchors the opening frame; ttsScript adds a voiceover. AUDIO IS NOT FREE AND NOT OPTIONAL BY DEFAULT: a clip delivered with no audio of its own gets a music bed composed and CHARGED on top of the render (see musicMood and audio) — on a cheap short draft the bed can cost as much as the clip. Pass refVideo (a clip URL) to EDIT an existing video instead — the omni engine transforms that clip per your prompt, inheriting its canvas + length (aspectRatio/durationSeconds are ignored for an edit). RAW MODEL ACCESS: by default a few small guards are appended (packaging/label safety with no reference image, a negative prompt where the model takes one, reference-binding lines) and hex colour codes become colour names; raw:true dispatches your prompt to the model BYTE-IDENTICAL — no rewriting, no appended guidance, no negative prompt, no brand references attached on your behalf. Credits, the durable delivery of the finished asset and the per-model validation are unchanged. Spends credits (Starter plan is video-blocked server-side).
generate_video
Poll a render job by id. Returns status (queued|running|done|error), progress, and on done the served media URL. Renders take 1–3 minutes: keep calling this until done/error without asking the user — several calls is normal, not a stall. An id that does not exist on this account answers status "not_found" — that is FINAL: stop polling it, and do not re-fire the render (that double-charges).
get_job
What Hermoso ALREADY KNOWS for the active profile: the same saved profile (products, logos, palette, positioning) + learned memory the web Studio uses. Call it when you need to know whether a brand is on file: if hasBrand is true you can omit brand everywhere; if false, onboard with draft_brand. Not a required first step before a render: the create tools read the saved brand by themselves. 0 credits.
get_brand
Turn ONE finished static ad into several copies that differ ONLY in the headline, for an A/B test: same picture, product, layout, colours and every other line. Pass `image`, and either `headlines` (your own, up to 10) or `count` (default 5, max 10) to have distinct angles written for you in the saved brand's voice (never inventing numbers, prices, ratings or claims the ad or brand does not state); `brief` steers what to test. The ad's text is read first (3 credits), then one image edit per headline; each output is proofread and flagged (textCheck) if the rendered words do not match, never silently re-rendered. When the saved brand has a product photo and the ad shows that product, the photo rides with the edit and the product's label is read and checked against it: re-printed from the photo only when it came out wrong (the check alone is charged when it is right; one small extra charge finds the product first). fixLabel:false turns that off. The whole batch is priced before anything runs. Returns each headline, its angle and its image URL.
headline_variants
List the third-party accounts connected to this workspace (Meta, Google Ads, Google Drive/Sheets/Docs, YouTube, LinkedIn, OneDrive, Slack, …) — provider, status and the connected account label — PLUS which providers are available to connect. IT ALSO FLAGS A CONNECTION WHOSE PERMISSIONS ARE OUT OF DATE: a provider writes its granted permission set into the token at consent time, so a connection authorized before a permission was approved does not carry it and never will — those calls are refused by the provider and no retry or wait can change it. Check this FIRST when a connected provider starts refusing things. The fix is a browser: the user reconnects under Workspace > Connectors. Read-only, free.
list_connectors
The errors actually recorded against this workspace, GROUPED by fingerprint — the same failure at the same call site is one row with a hit count and first/last seen, sorted defects-first. Each row says whose side it is: `ours` (a defect worth fixing), `user` (a refusal we deliberately authored, e.g. not-connected or out-of-credits), or `unknown` (a vendor 4xx we cannot attribute — never guessed). Free text, tokens, emails and creative are redacted before anything is stored, so an input echo shows shapes and lengths, not content. Filter by surface (http/mcp/agent/job/client) or kind. Read-only, 0 credits. Scoped to your own workspace; an operator whose client carries the admin key sees every account.
list_errors
Browse this workspace's Library — every image/video generated in the Studio, newest first (the same Library the web app shows). Returns served URLs you can open directly or hand to fetch_asset for a download link, plus each asset's kind, model, and age. Free, read-only.
list_library
List every profile on this account (id + name; a profile is a brand, a creator or a personal workspace) and which one this connection acts on, PLUS any profile another account shared with you. Call this, then use_brand to switch; a SHARED profile switches the same way (pass its name or the profile id printed here). If a profile looks empty when the app shows it full, you are acting on a different one: call this first. Read-only, free.
list_brands
List the most recent render jobs + how many are currently running, so you can report on or resume in-flight work.
list_jobs
Show what is queued to post and what already went out. Each fired item reports PER-CHANNEL outcomes, so you can see that (say) Instagram published and TikTok failed on the same item rather than a single misleading verdict. Past items are rebuilt from published-post records, one row per channel; they are not job runs (use list_jobs for those). THE LIST IS COMPACT so it fits in one reply: the next 25 queued and the last 15 fired, captions shortened. Pass `id` for ONE post in full (every caption and setting, which you need before reschedule_post replaces a caption map), `channel` to filter, or `upcoming` / `fired` for more rows. Read-only, 0 credits.
list_scheduled
An ad or post rendered from HTML: no AI model, ~30s, a couple of credits. Presets are SHORTCUTS; 'custom' is YOUR OWN design as config.html (+ css), so no layout, type, colour or motion is 'unsupported'. custom: { html, css?, size? ('9:16' default | '4:5' | '1:1' | '16:9' | any 'W:H' | {w,h} px), durationSeconds? (1-60 = VIDEO; CSS/SVG animation and <video> are frame-stepped, scripts stripped), slides?:[{html, css?}] (2-35 = carousel) }; {{logo}} {{brandName}} {{domain}} {{accent}} fill from the brand; images and fonts load by https URL; notes[] lists what failed to load. YOU author preset copy: short, casual, believable, finished phrases within budget. The preset ids — slideshow, imessage-chat, chatgpt-chat, apple-notes, value-prop, static-mockup, airdrop-carousel, app-ui-tour, imessage-cascade, photo-grid, vignette, kinetic-type, myth-vs-fact, carousel — and each one's fields are listed on `config`. config.music on a VIDEO: omit and the format gets a music bed from our library, matched to its mood and free, whenever the library is stocked (hermoso_capabilities hasMusic); with none on file the video carries only its own sound effects, and the reply says so. 'off' for silence, or any words (a mood or a description) to compose a bed to them (a flat music fee, in hermoso_capabilities). Image URLs may be any public URL.
make_template_ad
Mine ad ANGLES from real customer language: gathers the customer's own words (Reddit, TikTok, the brand's review page + review-site results) and returns a RANKED angle bank — each angle tagged (pain / outcome / identity / fear / competitive-displacement / social-proof / contrast), 2-5 VERBATIM proof quotes, a 0-100 score with breakdown, and a ready-to-run hook in the customer's own voice. Reads YOUR saved brand (pass brandId to target a specific profile — that switches this key's active profile like use_brand). To tear down a COMPETITOR use competitor_teardown instead. YOUR OWN REVIEWS: pass `reviews` (a list of review texts, or one pasted block: one per line, numbered, blank-line separated, or a CSV with a review column) and/or `reviewsUrl` (a CSV, TXT or JSON file from upload_file, or a review page; on a local CLI a file path works too). They are first-class evidence: every quote from them is checked word for word against what you sent and labelled 'your reviews', and a quote that is not verbatim is dropped and counted. useOwnReviewsOnly:true mines only your reviews and gathers nothing public. Limits: 300 reviews, 2,000 characters each, 40,000 in total; over that it is refused at no cost, so send fewer or split into batches. Each angle comes back with `next`: the exact plan_variations and generate_image arguments that turn it into finished statics (one generate_image per angle = statics with distinct angles). Spends a few credits.
mine_angles
MULTIPLY a winning video ad into N variants: each gets a NEW character, outfit, location and/or objects while the cut, the camera motion, the pacing and the ORIGINAL AUDIO stay exactly as they were (that is what made the ad work), and any burned-in captions are removed. Pass the source video URL (a previous render, a job result, list_library, or the top performer from post_performance / meta_insights). HOW: the source video itself DRIVES each variant (motion transfer from one image-edited opening frame), so every variant comes back the SAME LENGTH as the source with the same cut, the same performance and the original audio — only the person, outfit, set and props change. Sources up to 30 seconds work as they are; longer ones are refused for free with the way out (trim it first: post_edit with ops [{op:'trim', start:0, end:30}] — clip_video is the AI highlight clipper, not a trim). Returns the plan and ONE JOB PER VARIANT — call get_job on each until it reports done; do not describe a variant before its URL arrives. Cost is quoted per variant in the reply (use dryRun:true to see the plan and the quote without rendering). Regions: pass regions:['Berlin','Tokyo'] to restyle variants per market; translation is a separate, explicit step — dub_video on a finished variant. `change` is what should change, in the user's own words ('older women', 'winter streets', 'swap the mug for our bottle'): every variant applies it and the variants still differ around it; a part of it about the voice, words, language, music, length or captions cannot change here, and the reply says so and names the tool that can.
multiply_ad
HOOK MULTIPLIER: give ONE finished video ad N NEW OPENING HOOKS, N complete versions to A/B test. A planned hook replaces the first ~1.5-4 s (ends at the source's first cut there, else 3 s; hookSeconds overrides) with a new silent shot on a DIFFERENT named mechanic (list_hooks); the rest of the footage and the WHOLE original soundtrack stay, so every version keeps the source's length, and nobody in the hook talks or shows text. hooks[] adds your own openings: {url} a FOUND viral hook (post link or file) joined in front with the approved bridge (cut before its payoff, its own payoff sound carried across; post_edit price), {prompt} an opening described in words, {mechanic} a named one; with hooks and no count only those are made. To make the found hook's subject your product or creator first: recast_hook. Pass the video's FILE URL (a render, job result, list_library or upload_file). 1-5 versions, default 3. Refused free before billing: a source over 120 s, too short for a 1.5 s hook plus 2 s after it, unreadable, or a social post as the SOURCE (remake_video_for_brand remakes someone else's ad). COST: a small planning read, then each planned version is billed like fix_beat for the hook's seconds; the reply quotes credits, and dryRun:true returns the plan and quote without rendering (pass that `plan` back to render exactly those). Returns ONE JOB PER VERSION; call get_job on each until done, never describe a version before its URL arrives. Hooks that show the product use the brand's product photo (productImage overrides; useBrand:false sends none).
hook_variants
Creative director: turn a brand + product/brief into a finished ad CONCEPT — copy variants (headline/primary/cta) plus an image_concept.prompt OR a video_storyboard, with the resolved recipe + the model ids to render with. Renders nothing; chain its output into generate_image / generate_video. THE USER’S EXPLICIT LENGTH IS SOVEREIGN: when they name a duration ("a 30 second ad", "make it 45s"), pass it as durationSeconds — the board is then AUTHORED to that length (its scenes sum to it) and render_ad renders it as one clip or stitched acts accordingly. Leaving it out lets the planner pick its own default, which is how an explicit ask silently becomes a 15s spot. Spends credits.
plan_ad
Pull one named brand’s live ads from the Meta (Facebook and Instagram) Ad Library: deduplicated, sorted, with the brand’s own page resolved. One call, back in a few seconds. Use it when the user names a brand and asks what ads it is running ("show me the ads <brand> is running"). Covers the Meta Ad Library only; for a broader search across brands or platforms use research_ads. Spends credits.
pull_competitor_ads
Remake a video you like FOR THIS BRAND from its link — a TikTok, Instagram Reel, Facebook video or reel, X post, YouTube Short or video, or a direct video file URL. Hermoso WATCHES it first (frames across the whole clip plus a transcript of the voiceover, on-screen text and cut map), then plans a storyboard that keeps its hook device, structure, jump cuts and pacing while swapping in THIS brand's product, cast, setting and words — never the original's words, face or brand. The new ad MATCHES THE ORIGINAL'S LENGTH (capped at 60s) unless durationSeconds is given. Renders nothing: pass the returned creative to render_ad to make the video. Costs the plan plus about 2 credits to read the link. The reply says exactly what was watched, and when a platform will not hand over the footage (YouTube sometimes refuses servers) it says the plan rests on the captions and thumbnail only. For a local file, upload_file it first and pass the URL.
remake_video_for_brand
RECOMMENDED for finished video ADS: render a plan_ad concept through the SAME quality pipeline as the Hermoso web Studio — timed shot list, exact/clean speech (no garbled words), text composited in post (never model-painted), an optional brand end card (only when the user asks), no music unless asked, real product references. UGC and cinematic plans are rendered from a painted STORYBOARD board (cleaned, then bound first, ahead of the creator and the product); a cinematic spot paints a location anchor first (and a hero when someone is on camera). A product-only commercial renders from the real product photo by default; board:true or foundations:'choose' adds a product identity sheet, a four-up moodboard and a board. Pass plan_ad’s full structured output as `creative`. Honors the plan’s render_plan structure/duration: a storyboard that FITS ONE CLIP OF THE RENDER MODEL renders as a single continuous pass; anything longer automatically renders as STITCHED ACTS (the fewest balanced clips, each at most one model clip) — never time-compressed into one clip. That threshold is the render model’s own maximum, not a fixed number: most models cap a clip at 15s and the longest-clip one goes to 30s, so use dryRun:true to see the act split this plan will actually get, for free, before spending. CAST A SAVED CREATOR with `creator` so the SAME person stars in this ad as in the last one (list_creators is the roster) — otherwise every render invents a new face. Renders take 1–3 min; keep polling get_job if it returns still-rendering. Spends credits.
render_ad
Report a bug in Hermoso to the team. Use this when something in Hermoso genuinely misbehaves — a tool errors unexpectedly, returns a wrong or malformed result, a render comes back broken, or documented behaviour doesn't match what happened. Include what you were trying to do, the exact tool call and arguments, and what came back. Do NOT use it for out-of-credits, a policy refusal, or a missing capability (use request_feature for that). Free, no credits.
report_bug
Ask the Hermoso team for a capability that doesn't exist yet. Use this when you need something Hermoso genuinely can't do — an unsupported platform or channel, a missing model, an export format, a tool that would have completed the user's task but isn't available. Say what the user was trying to achieve, not just the feature name — the use case is what gets built. Free, no credits.
request_feature
Open-ended ad research that needs JUDGMENT across platforms — comparisons, "what angle is working", "who else is doing this", anything where the right sources are not known up front. It is an agentic loop (several rounds of library pulls plus a written synthesis) and typically takes 30-60 seconds, so it is the WRONG tool for a question that names its own answer. For one named brand’s live ads use pull_competitor_ads; for one keyword or one advertiser on Meta use search_meta_ads — both are a single call and return in a few seconds. Spends credits — an agentic loop, so a handful rather than the one-call cost of a targeted search.
research_ads
Queue a post for a future time on one or more connected channels at once: facebook, instagram, threads, tiktok, youtube, linkedin, x, pinterest, bluesky, telegram — TEN channels, every one live. google_business is in the schema but HELD BACK (Google’s API allowlist) and is refused at enqueue. A MULTI-SLIDE creative goes in imageUrls[] as a CAROUSEL, in order — never schedule just its first slide. Name the time in `at`, or pass `useQueue:true` for the brand’s next free POSTING SLOT (what “just queue it” means). imageUrl/videoUrl take a Hermoso render URL or an upload_file URL. `captions` gives a channel its own wording; the rest use `message`. PINTEREST AND YOUTUBE SHOW A TITLE: `title` (max 100 chars), derived from the caption when omitted; YOUTUBE also takes `description`, `tags`, `thumbnailUrl`. Every PER-CHANNEL SETTING is a parameter below, carried straight to the real publisher — TikTok’s `brandedContent` / `yourBrand` disclosures (set them whenever the post is commercial), Google Business `topicType` / `event` / `offer` / `actionType`, an X `thread` / `poll`, Instagram `collaborators`, and the rest. Channels are attempted INDEPENDENTLY: one failing never blocks the others. SOME CHANNELS MUST BE TOLD WHICH ACCOUNT, and Hermoso never guesses: Pinterest needs `boardId` (list_pinterest_boards) or is refused; a LinkedIn COMPANY PAGE post needs `linkedinOrganizationId` (list_linkedin_pages) or it goes to the person’s own profile; several Facebook Pages need `pageId` (list_meta_pages), several Google Business listings `locationId` (list_business_locations) — resolve those FIRST and let the user pick, or the post is refused when it fires. A scheduled post GOES LIVE PUBLICLY by default on every channel, never quietly downgraded. Only if the user asks, set `visibility` (or `visibilityByChannel`): ‘unlisted’ (YouTube) · ‘private’ (YouTube, or TikTok SELF_ONLY) · ‘draft’ (TikTok, or an unpublished Facebook Page post). A visibility a channel cannot do is REFUSED now, never posted weaker later.
schedule_post
Probe what this Hermoso account can do RIGHT NOW: available image/video model ids + their exact credit costs, aspect ratios, video durations, the recipe ids, and the canEdit/canAvatar flags. Call it when you need a specific model id, an exact cost, or a capability you are not sure of. It is NOT a prerequisite for rendering: generate_image, generate_video and render_ad all run with `model` omitted and route to the server’s own default. Read-only, free.
hermoso_capabilities
Pin which profile this connection acts on. Pass the profile id or exact name from list_brands. Works for your own profiles AND one another account SHARED with you (pass its name or the profile id list_brands prints); access is verified against your real membership before it is pinned. Persists for this API key until changed, on every surface (hosted connector included — no environment variables, no restart).
use_brand
Persist an ARBITRARY user file (image, video, audio, PDF or document, up to 150MB) into Hermoso and get back a durable public URL that EVERY publish, schedule and ad-build tool accepts — post_to_meta / post_to_linkedin / post_to_linkedin_page / post_to_youtube / post_to_tiktok / post_to_pinterest / post_to_x / post_to_google_business / schedule_post / upload_meta_asset / upload_google_ads_asset / create_meta_ad / create_linkedin_ads_creative / set_youtube_thumbnail / save_to_drive / save_to_onedrive. THIS IS THE BRING-YOUR-OWN-CREATIVE PATH: it is for files that have NOTHING to do with a Hermoso render (media on the user's desktop, an agency's finished ad, a photo they shot), and it means you can publish, schedule and run ads through Hermoso without generating anything here. Provide exactly ONE source — passing two is an error, never a silent preference: `url` (ANY public http(s) link — Hermoso fetches it server-side, so nothing crosses this connection and there is no practical size limit; THIS IS THE ONE THAT ALWAYS WORKS, including on the hosted connector), `dataUri` (a base64 data: URI — keep it under ~15MB, since the bytes travel over this connection). If the file is already at a public https URL, the Meta, Reddit and ChatGPT-Ads tools take it directly and re-host it safely — but LinkedIn (posts and ad creatives), Pinterest, the YouTube thumbnail and upload_google_ads_asset upload the BYTES themselves and therefore refuse an external host, so run it through here first and pass the URL this returns. When in doubt, use this: its URL works everywhere. (Calling the underlying HTTP route directly? POST /api/upload takes the file's RAW BYTES as the request body with its own content-type — NOT multipart/form-data — or ?url=<link> with no body.) Returns {url, kind, bytes}.
upload_file
ONE verdict across EVERY ad platform this workspace has connected. It pulls each platform's own report (Meta, Google Ads, ChatGPT Ads, TikTok, LinkedIn, Microsoft Advertising, Pinterest, Reddit, Snapchat, X, Apple Ads), normalises every campaign / ad set / ad into ONE table — spend, impressions, clicks, CTR, CPC, conversions, CPA, ROAS and frequency where the platform reports them — and answers with four lists: `scale`, `pause`, `fix` and `test_next`, plus `insufficient_data`. Each recommendation carries the row's OWN numbers as evidence, the reason, a concrete next action, and the EXACT Hermoso tool call that would apply it (for example set_meta_campaign_status with confirm) — which this tool never runs. FOUR REFUSALS TO REPEAT RATHER THAN PAPER OVER: (1) A ROW BELOW THE DATA FLOOR IS NEVER JUDGED — the minimums are stated in the reply, and an under-powered row lands in insufficient_data with what it lacks, never in "pause"; a row whose conversions are too few for a CPA verdict can still be read on CTR and CPC and says so. (2) A PLATFORM WHOSE READ FAILED IS NAMED AS UNREADABLE and its numbers are MISSING, never zero — never move budget on the strength of an absence. (3) A META AD SET IN THE LEARNING PHASE IS HELD BACK, because editing it restarts learning. (4) A CONVERSION COLUMN THE PLATFORM DOES NOT PUBLISH READS UNMEASURED, not zero (Reddit, Snapchat and X in this report). Conversion definitions differ per platform and travel with every row, and each platform's days are its own account's days, so a cross-platform CPA comparison must carry that caveat. Args: days (complete days ending yesterday, default 14, max 90), platforms (omit for every connected one), goal ("lowest CPA", "ROAS", "leads under $30"), level (campaign | ad_group | ad — a platform with no report at that tier is read at campaign level and says so). Changes nothing in any ad account and spends no ad money; it bills one model call over the table.
analyze_campaigns
Aggregate this brand's published posts to answer WHICH HOOKS AND SUBJECTS WORK. Groups by hook (default), subject, format (recipe), channel, media format or posting hour, reports the engagement RATE within each channel, and ranks the best and worst POSTS in each channel. Describe a post by the creative it carried (what it shows, its format, its link), not by its caption — the caption is the least important part of a post. THREE THINGS IT DELIBERATELY WILL NOT DO, and you should repeat them rather than paper over them: (1) it never sums metrics across channels — a LinkedIn impression and a TikTok view are different units, so every comparison is within one channel; (2) it SUPPRESSES a verdict below 5 measured posts and says so, because a confident recommendation from 3 posts is worse than none; (3) a post with no recorded hook (published outside Hermoso, or backfilled without a creation match) counts toward channel and format totals but never votes on which hook works. Present the `finding` verbatim if there is one, and the reason if there is not. Read-only, 0 credits.
post_performance
Hermoso AI ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Hermoso AI's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Hermoso AI alternatives on ChatGPT?
As of 2026-10-16, Hermoso AI competes with Actionbase, AEO/GEO by VibeSEO, Agent Ready, Agent Ready Checker, Agenticaso, AIclicks, AirOps, ALLMO and 53 more in ChatGPT AI Search & LLM Visibility (AEO/GEO), ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.