Five meta descriptions, pixel-measured to Google's cutoff.
Paste a keyword. Llama 3.3 70B drafts five candidates in five different patterns. Each one is measured against Google's ~920-pixel desktop SERP cutoff so they never truncate mid-sentence. Free with a sign-in, 10 generations per hour.
Five descriptions will appear here, each measured against Google's 920-pixel cutoff so they never truncate.
What does this meta description generator do differently?
Most free generators write one description from a templated prompt and ignore Google's pixel-width cutoff, so the output truncates mid-sentence on the SERP. This one runs Llama 3.3 70B with a structured prompt for five distinct patterns (benefit-led, list-led, year-led, question-led, CTA-led), then measures every candidate client-side in Arial 14px so we can flag any that would clip at Google's ~920-pixel cutoff. Sign in, 10 generations per hour. The paid pipeline at SEO Automation takes the same idea further with live SERP grounding on every article it publishes.
A target keyword, plus one optional sentence about your page. Sign-in required, no card.
Llama 3.3 70B drafts five candidates in five different patterns. About 1-2 seconds via Groq, no queue.
Five candidates with character counts, pixel widths, and a flag on any that would clip Google's 920-pixel cutoff.
Four things that make this different from every other meta description generator.
Five candidates, five proven patterns, one button.
Most free meta description generators are a single LLM call with a templated prompt: one shape, mediocre output. Ours runs Llama 3.3 70B with a structured prompt that requires five distinct patterns (benefit-led, list-led, year-led, question-led, CTA-led) so you get a real choice instead of five rewordings of the same sentence.

Hits the 920px Google cutoff exactly. No middle-of-sentence truncation.
Google does not truncate at 155 or 160 characters. It truncates at 920 pixels, and pixels depend on which characters you used. A wide W eats more pixels than a narrow i. Our generator measures pixel width, not character count, and lands every description inside the cutoff zone with the keyword landing in the visible region.

No card, no email opt-in. Sign in once, generate up to 10 per hour.
Most "free" SEO tools demand a card after the second run, or rate-limit by IP (which a VPN bypasses in five seconds). We do neither. A free account gates the generator, the same account works for the paid agent if you upgrade later, and the 10-per-hour cap keeps Llama 3.3 free for everyone. Pricing for the full pipeline: $99 a month flat.

Same five-pattern + pixel-measurement logic the agent uses on every article.
When the paid SEO automation agent publishes an article, it generates the meta description through the same five-pattern prompt and pixel-measurement gate you see here, with one upgrade: the paid version also grounds Llama on the live top-10 SERP for the keyword. The free public tool is the same idea minus the SERP fetch. Built by TheSEOAgent.

Three steps. About 1.5 seconds. No magic.
One field, no signup. Up to 100 characters. Multi-word phrases work.
Structured prompt requires five distinct patterns. About 1-2 seconds via Groq, no queue.
Each one comes with character count, pixel width, and a length-status badge. Copy the one you want.
SEO Automation
LIVEThe full pipeline this tool is one stage of. Keyword research, drafting, fact-checking, native CMS publish.
SEO title generator
LIVE10 SEO title-tag candidates with char-count pills and SERP-safe band flagging.
Headline generator
LIVE12 body headlines across 6 patterns. Pairs with the meta-description tool for the full title stack.
Is this generator actually free?
Yes. No card, no email opt-in, no per-request charge. You sign in (free account, also covers the rest of the app), and you get 10 generations per hour. We cover the LLM bill via Groq's free tier; the cap is what keeps the math working at scale.
Why does it require sign-in?
The rate limit is per-user. Without sign-in we would have to either rate-limit by IP (trivially bypassed by VPN) or pay unbounded LLM costs. A free account is one click via Google or magic link, and the same account works for the paid agent if you ever upgrade.
How is this different from a competitor free tool?
Two things. First, the output is structured: five distinct patterns (benefit-led, list-led, year-led, question-led, CTA-led) so you get a real choice instead of five rewordings of the same sentence. Second, every candidate is measured to pixel width so we can flag any that would clip on Google's SERP. Most competitor tools count characters, which is consistently wrong.
Why pixel width instead of character count?
Google truncates meta descriptions at roughly 920 pixels of rendered width, not at a character count. A wide W eats more pixels than a narrow i, so two descriptions of the same character length can render differently. Generators that count characters consistently overshoot or undershoot the cutoff. We measure pixels client-side via the Canvas API in Arial 14px (Google's SERP font).
Will Google use the meta description I write?
Sometimes. Google rewrites about 60% of meta descriptions based on the search query. The ones it keeps tend to share traits: keyword in the visible region, active verbs, no duplicate boilerplate across pages. Our generator optimises for those traits to maximize the keep rate.
Can I use the generated descriptions commercially?
Yes. The output is yours to use however you want, including in client work. We do not retain any license.
Which model do you use?
Llama 3.3 70B Instruct via Groq. Open-weights model, generous free tier, fast inference (typically 1-2 seconds for the full five-candidate response). The structured prompt and pixel-measurement pipeline are ours; the language model is the same one anyone can rent for cents.
The agent runs this exact stage on every article it publishes.
The free version writes one meta description at a time. Inside the paid agent, the same five-pattern prompt + pixel-measurement gate runs on every keyword you target, with the upgrade of live SERP grounding for each one. Every article ships with pixel-accurate metadata, automatically.
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