AI chatbot for Squirrly SEO: on-page guidance from your own data
SleekAI maps Squirrly's _sq_post_keyword, _sq_seo_title, and _sq_seo_description postmeta plus the qss_seo and qss_journey tables into the chatbot, so editors can ask why a post scores 78 instead of 100 and the bot quotes the actual fix. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
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An on-page SEO copilot that reads your real Squirrly data
Squirrly SEO stores the focus keyword, SEO title, meta description, OG settings, and JSON-LD overrides in postmeta keys like _sq_post_keyword, _sq_seo_title, _sq_seo_description, and _sq_post_jsonld. The Briefcase keywords and the Audit history live in custom tables such as qss_seo, qss_journey, and qss_seo_keywords. Editors who want to fix a poor score normally have to click through the Squirrly Live Assistant panel one tab at a time to figure out which check failed.
SleekAI maps those postmeta keys and qss rows into named variables that resolve at request time, so an editor on a post edit screen can type, why did my post drop from 92 to 67 last week, and the bot pulls the current focus keyword, the active title, and the last three audit deltas to answer. Display conditions scope the bot to logged-in editors or admins on post edit screens, so visitors never see it. Multibot also lets a public-facing FAQ bot run alongside.
Generic chatbots fail here because Squirrly's data is spread across five tables and a dozen postmeta keys, and the meanings of fields like Briefcase status or Journey checkpoint are plugin-specific. SleekAI does not need a custom integration; the Wizard exposes any table or postmeta key in two clicks. Conversations log the model name, tokens, and page, so you can see which checks editors actually struggle with.
Workflow
How SleekAI plugs into Squirrly SEO
Map Squirrly postmeta
Connect the qss tables
Scope to editors
Bring your own key
Try it now
A typical Squirrly SEO editor conversation
Comparison
Generic chatbot vs SleekAI for Squirrly SEO
Generic chatbot
- Cannot read _sq_* postmeta keys for focus keyword or snippet
- Has no idea what a Squirrly Live Assistant green light means
- Cannot pull Briefcase keyword volume, difficulty, or status
- Hallucinates SEO advice that ignores your actual page content
- Will not differentiate editors on edit screens from public visitors
SleekAI chatbot
-
Reads
_sq_post_keyword,_sq_seo_title, and_sq_seo_descriptionlive -
Pulls Briefcase keyword status from the
qss_seo_keywordstable - Quotes the current Audit score and what changed since last week
- Scopes to logged-in editors on post edit screens via display conditions
- Logs every editor question with model name and token usage
Features
What SleekAI gives you for Squirrly SEO
Reads your real SEO meta
The bot sees the live focus keyword, snippet title, meta description, and JSON-LD overrides for the current post by reading the same _sq_* postmeta keys the Squirrly Live Assistant uses.
Knows your Audit history
Squirrly's Audit table records weekly scores per page. SleekAI quotes the previous score, the change, and the top three failing checks, so editors stop guessing what fell off.
Briefcase aware
When an editor asks about a keyword, the bot pulls volume, difficulty, and the list of posts already targeting it from the qss_seo_keywords table to flag cannibalization before publishing.
Use cases
Where teams use SleekAI with Squirrly SEO
Editor copilot in WP Admin
An admin-only chatbot on the post edit screen that answers, why is this score low and what should I change first, using the live Squirrly data.
Briefcase keyword triage
The bot ranks pending Briefcase keywords by volume and difficulty and surfaces which existing posts already rank for them so you can update instead of duplicate.
Snippet generation drafts
Ask for three alternate SEO titles and meta descriptions, each respecting Squirrly's character limits and including the focus keyword inside the first 60 characters.
The bigger picture
Why Squirrly editors benefit from chat
Squirrly SEO does a lot of work in the background. It scores every post against 14 checks, stores Briefcase keywords with volume and difficulty, runs Audit snapshots, and exposes JSON-LD overrides. The trouble is the interface scatters that data across tabs, and editors who only publish once a week never internalize where each setting lives.
They publish a post, see a yellow light, click around, and either give up or guess. A chat interface compresses that whole workflow. An editor types a plain question, the bot reads the exact same postmeta and qss_* rows the plugin uses, and the answer cites the failing check by name.
That changes Squirrly from a tool editors tolerate into a tool they trust. It also means the team stops sharing the same five SEO questions in Slack every week. SleekAI does not duplicate Squirrly.
It surfaces what Squirrly already knows, in a place editors are willing to use it.
Questions
Common questions about SleekAI for Squirrly SEO
No. SleekAI sits next to it. Squirrly still runs its 14 checks and shows green and red lights. SleekAI reads the same data and gives editors a chat interface to ask what is wrong and what to write next, which is faster than clicking through every tab when the score is unclear.
 Out of the box the Wizard maps _sq_post_keyword, _sq_seo_title, _sq_seo_description, the OG and Twitter fields, the noindex flag, and the JSON-LD overrides. You can map any other postmeta key or qss_* table column in two clicks if you have custom Squirrly Cloud setup.
 Yes. Display conditions support user role, logged-in state, and URL pattern. A typical setup limits the bot to administrators and editors on /wp-admin/post.php and /wp-admin/post-new.php, so visitors never see it on the public site. You can also place a separate public bot under multibot.
 Both. The bot reads from the local postmeta and qss_* tables, which are populated whether you run free Squirrly or have a Cloud plan. If you have Cloud features like full audit history, the bot has more data to cite. Without Cloud it falls back to the local snippet and keyword data.
 The bot checks how many published posts share the same _sq_post_keyword before it suggests a new title. If three posts are already targeting radon mitigation cost, it surfaces the URLs and recommends consolidating, which prevents the classic Squirrly Briefcase pile-up that hurts overall rankings.
 Only to the LLM provider whose key you supply. SleekAI sends the relevant context to OpenAI, Anthropic, Google, or OpenRouter under your own account, and you pick the model. Nothing routes through SleekAI servers. You can pin everything to a provider with a strict data retention policy.
 Yes if you map the qss_journey table. The bot can quote the current Journey step, the goals you set, and what is incomplete. It is most useful for new editors who do not know which tasks Squirrly expects them to finish before publishing or before launching a new content cluster.
 Yes. The system message can include a short voice guide and three sample descriptions you already approved. The bot then drafts new ones inside Squirrly's 120 to 156 character window, with the focus keyword in the first half. You still paste the result into the Snippet tab to apply it.
 Pricing
More than 1000+
happy customers
Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.
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