AI SEO Assistant

Boost your search rankings with AI-powered SEO optimization. Automate keyword research, optimize content, and track performance effortlessly.

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Your next hire isn’t human. These teams know.

Easy as one, two, three.

Create an AI SEO Assistant

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Describe your agent

Ask Lindy what to do and watch it build your Agent in minutes.

Connect your apps

Hundreds of integrations available.

Let AI do the work

Give custom instructions to your agent, all in natural language.

Use-cases

How can Lindy's AI SEO Assistant help you?

Boost rankings 10x faster

Reduce keyword-research time from hours to minutes. Identify high-search-volume, low-competition keywords competitors miss, automate on-page optimization, and prioritize pages with the largest ranking opportunity so teams can focus on growth.

Save 20 hours weekly

Automate repetitive SEO tasks, including content optimization, technical audits, and competitor analysis, to save up to 20 hours per week. Reallocate that time to high-impact strategy and execution that drives measurable revenue growth.

Increase organic traffic 300%

Identify content gaps and trending opportunities before competitors. Receive data-driven recommendations to improve underperforming pages and increase organic traffic, attracting qualified leads without paid ads.

Stay ahead of algorithm changes

Reduce disruption from Google algorithm updates with real-time alerts on ranking fluctuations and identified algorithm shifts. Receive prioritized optimization recommendations to restore and maintain search visibility while competitors adapt.

Scale content without burnout

Create SEO-optimized content at scale without sacrificing quality. Generate keyword-focused outlines, optimize and repurpose existing pages, and maintain a prioritized content calendar with automated SEO checks and editorial reviews to preserve quality as volume increases.

Learn more

Learn more about creating an AI SEO Assistant

Automate your first task
Step 1

Site Audit

Connect your site, crawl pages to identify technical and on-page issues, and prioritize actionable SEO fixes.

Step 2

Keyword Research

Crawl pages to detect broken links, redirect chains, duplicate content, missing or duplicate meta tags, and slow pages, then prioritize fixes by estimated traffic and crawlability impact.

Step 3

Rank Tracking

Track remediation status, report each issue's impact on crawlability and load time, prioritize fixes by estimated ranking and traffic impact, and produce exportable reports for ongoing improvement.

Benefits

Why use an AI SEO Assistant?

Automate your next generation task
1

Automated site audits and quick fixes

AI crawls your site regularly to detect technical SEO issues, including broken links, slow pages, missing meta tags, thin or duplicate content, and schema errors, and prioritizes fixes by estimated impact so pages stay fast, crawlable, and indexable.

2

Keyword research at scale

Schedule on-demand or recurring crawls to detect broken links, slow pages, missing meta tags, thin or duplicate content, and schema errors; prioritize issues by estimated impact on crawlability and load time; provide suggested fixes and exportable, developer-ready tickets listing affected URLs and required changes.

3

On-page content optimization

Continuously crawls the site, identifies technical issues (broken links, slow pages, missing meta tags, duplicate content, schema errors), prioritizes fixes by estimated traffic or crawl impact, and provides one-click fixes or developer-ready patches to keep pages fast and indexable.

4

Automated rank tracking & reporting

Continuously crawl the site to detect broken links, slow pages, missing or duplicate meta tags, thin or duplicate content, and schema errors; prioritize fixes by estimated traffic and crawlability impact, and auto-create developer tasks or suggested code changes with verification steps.

5

Competitive and content gap analysis

Continuously crawl the site to detect broken links, slow-loading pages, missing or duplicate meta tags, thin or duplicate content, and schema errors, prioritize issues by estimated traffic and crawlability impact, provide one-click fixes or developer-ready patches, and track remediation until fixed.

6

Workflow automation and collaboration

Auto-create prioritized fix tickets from site audits, assign to writers and developers, attach SEO checklists and reproduction steps, track completion and resolution time, and verify fixes to keep pages crawlable and fast.

FAQ

Frequently asked questions.

Automate your text generation task

What is AI SEO Assistant, and how can an AI SEO assistant tool boost search rankings for small businesses and enterprises?

AI SEO Assistant delivers automated site audits, scalable keyword research and clustering, on-page content optimization, rank tracking with competitor monitoring, and workflow automation to improve crawlability, relevance, CTR, and conversions. AI SEO Assistant helps teams eliminate manual spreadsheets, prioritize high-impact technical SEO fixes, and map search intent to pages to drive organic traffic growth.

Will AI SEO Assistant replace a human SEO specialist or content team?

AI SEO Assistant augments strategy and execution by automating repetitive SEO tasks—research, auditing, and on‑page recommendations—while a human team provides editorial judgment, brand voice, and authority. Industry FAQs consistently frame AI as support for SEO work rather than a full replacement, and common questions center on whether AI can do SEO, whether SEO is going away, and whether Google can detect AI‑assisted content.

How does AI SEO Assistant perform a technical SEO site audit and prioritize quick fixes?

AI SEO Assistant connects to a site, crawls pages, flags broken links, slow pages, missing meta tags, thin or duplicate content, and schema errors, and ranks tasks by projected impact so pages remain fast, crawlable, and indexable. AI SEO Assistant converts findings into actionable tickets for developers and content teams to accelerate time to resolution.

How does AI SEO Assistant handle keyword research at scale and uncover long-tail keywords with search intent mapping?

AI SEO Assistant instantly generates and clusters keywords, surfaces long‑tail keyword opportunities, gauges difficulty versus volume, and maps search intent to specific pages to build a data‑driven content plan. Guides to AI SEO assistants highlight keyword clustering and intent alignment as core use cases for AI‑powered SEO workflows.

How does AI SEO Assistant track rankings, monitor competitors, and alert teams to keyword cannibalization?

Tracks daily keyword positions across devices and locations and benchmarks movements against competitors. Sends alerts for ranking drops and keyword cannibalization (multiple pages competing for the same query). Delivers weekly reports tying keywords to traffic and conversions and highlights priority opportunities, enabling continuous iteration from performance data and reducing manual monitoring.

Can AI SEO Assistant optimize titles, meta descriptions, H1–H3s, FAQs, internal links, and entity coverage for SERP features?

AI SEO Assistant analyzes page content and search results to recommend optimized title tags, meta descriptions, H1–H3 structure, FAQ schema, internal links, and entity coverage aimed at target SERP features. It scores and prioritizes suggested edits by potential visibility and CTR impact, produces snippet- and schema-ready text, identifies topical or entity gaps, and exports edits or tickets for content and development teams to apply at scale.

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Whether you’re building solo or looking for a full-service setup, Lindy helps you automate the boring stuff — so you can get back to running your business.

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