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Features
Seology audits every page for content gaps — topics, entities, and questions a complete page on the subject should cover — then rewrites the weak sections to close them. Clearer, more complete pages work better in Google and are easier for AI search engines like ChatGPT and Perplexity to use.
Connect a GitHub repository so changes ship as pull requests, connect a Shopify store via OAuth, or simply give the agent a URL to scan. Seology reads the page and takes stock of its current state.
Seology runs its content and on-page checks — identifying thin content, weak heading structure, absent structured data, and unclear topical coverage that weakens the page for search.
The agent analyzes the page itself — its headings, sections, and coverage — against SEO best practices: commonly expected subtopics, the questions readers are likely to ask, and the entities a complete treatment of the topic would normally cover. Missing topics, questions, and entities are flagged as gaps.
AI produces targeted rewrites for under-performing sections — adding missing entities, improving heading hierarchy, tightening meta tags, and strengthening the topical completeness that search engines and AI answer engines look for.
In AUTOMATIC mode, fixes are applied immediately. In PLAN mode, the agent presents the proposed changes as a plan and you approve the batch once. In APPROVE mode, each change waits for your individual sign-off. Repository changes arrive as pull requests.
After changes are applied, re-run a scan to confirm the fixes are live and the page reads correctly. Seology does not track rankings or AI citations — use your own search analytics to measure how the updated page performs.
Gaps aren't just missing keywords. Seology looks for the structural and semantic signals that separate a complete, well-built page from a thin one.
People, places, concepts, and products that a complete treatment of the topic would normally reference. Missing them weakens your topical coverage.
Questions readers commonly ask about the topic that your page doesn't address. Adding them improves relevance for searchers and gives AI engines something to quote.
Headings with insufficient supporting content. A section that exists in structure but not in depth gets skipped by both crawlers and AI answer engines looking for citable passages.
Title tags and meta descriptions that don't reflect the page's full scope. Seology rewrites them so they describe the page accurately — commonly kept under ~60 characters for titles to avoid truncation in results.
GEO — AI Search
The agent works in three execution modes. All three identify the same gaps — the difference is what happens next.
The agent flags content gaps and proposes each rewrite individually. Nothing is applied until you approve it. Useful when you want the diagnosis but prefer the final say on every change.
The agent drafts a plan with all proposed rewrites. You review the batch and approve it once — then everything is applied together.
The agent identifies gaps, writes the rewrites, and applies them immediately. You get a report of what changed and why, with a 90-day rollback window.
Content gap analysis finds topics, entities, and questions that a complete treatment of your page's subject would cover — but your page doesn't. Seology analyzes the page itself — its headings, sections, and coverage — against SEO best practices, rather than a proprietary dataset of top-ranking pages. Gaps are surfaced as priority fixes, not just a list of missing keywords.
Seology's rewrites are targeted patches, not wholesale replacements. The agent focuses on specific gaps — a missing heading, a thin section, an absent entity — while leaving the rest of your content intact. Repository changes are delivered as reviewable pull requests, so you see exactly what will change before anything goes live. In APPROVE mode nothing is applied without your sign-off, and applied fixes keep a 90-day rollback window.
AI search engines like ChatGPT and Perplexity tend to cite pages that are semantically complete: they cover the full topic, answer the likely follow-up questions, and use the entities that the question implies. Seology fills the structural gaps that can make pages harder for AI engines to use. It does not monitor or guarantee citations — measure those with your own sampling and analytics.
Content optimization works on any page Seology can scan — which means any public URL. Applying changes requires a connection: GitHub repositories get fixes as pull requests, and a Shopify connector is available for stores. WordPress and other CMS connectors are on the roadmap, not available in self-service setup today.
The same work serves both. Google rankings and AI citation are influenced by overlapping signals — semantic completeness, entity coverage, structured data, and clarity. Closing a content gap commonly helps both, because the underlying signal (topical completeness) is the same. That said, no tool can guarantee rankings or citations; measure outcomes after publication.
The technical, on-page, and content checks that identify every gap before optimization begins.
How the agent delivers changes as reviewable pull requests.
GitHub repositories, the Shopify connector, and what's on the roadmap.
Re-scan updated pages on demand to confirm fixes are live.
Stop guessing why a page underperforms. Give Seology the URL, let the agent find the content gaps, review or approve the rewrites, and re-scan to confirm the fixes are live.