Compared: Semrush & Peec AI

They measure AI visibility. We close the gaps.

Semrush's AI Visibility Toolkit and Peec AI are both built to measure whether ChatGPT, Gemini, Perplexity and Google's AI Overviews name and cite your business — and both do that well, with real strengths of their own, increasingly reaching into content and publishing too. The Ranking Factory closes the loop itself: it turns one measured gap into evidence from your own pages, videos and confirmed words, publishes it, ties the live page back to the gap it closed, and re-asks the same question later to check whether it worked — with a sample size behind every number.

Good tracking tells you the score. This closes it.

Others can take you from data to recommendations — and, increasingly, into content workflows of their own. The Ranking Factory closes the measurement loop itself, the same way every time:

A question
An observed gap
Verified business evidence
A live page
The same question again
A measured outcome

Every step is something the product does today, not a roadmap — the chart below says what enforces each one, and where a comparable tool stands on it.

Three tools, one chart

"Yes" and "No" are shown only where a company's own current pages state it directly. "Not stated" means we could not confirm it from what they publish — not that they lack it. Scroll sideways on a small screen; the feature column stays put.

FeatureThe Ranking FactorySemrush AI VisibilityPeec AI
Entry price
$49/moStarter, billed monthly ($490/yr paid annually) — six AI engines on your own keys, site check, SEO/GEO audit and the Evidence Engine on demand.
£80.22/moBase plan, billed annually, per domain — 25 tracked prompts, 1 domain. Shown to us in GBP; Semrush localises pricing and we have not converted it.
€85/moStarter, billed monthly — 50 prompts, 3 active AI models at a time, 1 project.
Finds AI visibility gaps
YesThe Evidence Engine mines AI-visibility runs for topics where a competitor is named and you are not, then ranks them by impact.
YesThe AI Visibility Toolkit tracks whether ChatGPT, Google AI Overviews, Gemini and Perplexity mention or cite your brand against named competitors.
YesContent gap analysis surfaces topics where a competitor is visible in AI answers and you are not.
Can generate content
YesWriters draft the missing page from the business's own pages, videos and confirmed words only; nothing is invented to fill a gap.
YesThe Content Toolkit's AI Article Generator writes full articles, and its Content Optimizer rewrites and expands existing copy.
PartlyActions itself stops at analysis - asked if you still write the content yourself, its own FAQ says "Yes - and that's intentional." Connected to an agent such as Claude over MCP, Peec's own published use case has the agent draft the post.
Can publish content
YesWordPress, Wix, Ghost or a signed webhook; nothing is reported published until the site hands back the live address.
YesThe Content Toolkit publishes a finished article straight to a connected WordPress site from its own editor.
PartlyNot a feature of Peec itself, but its own published MCP use cases show a connected agent publishing straight to WordPress, or building a branded client report in Lovable, from Peec's data.
Automatically creates evidence for a specific measured gap
YesClosing a gap runs the same writer pipeline that drafts and publishes the missing page, then records what was produced against that gap.
Not statedContent Optimizer connects to your AI-visibility data to guide a rewrite, but nothing on the pages we read ties one measured gap to one generated asset automatically.
PartlyNot a native Peec workflow, but its own published use case chains Peec's gap data straight to an agent that drafts and publishes one piece per gap automatically.
Claims constrained to verified business-owned material
YesEvery rewrite is checked against the business's own pages, videos and words after it is written and before it is pushed live; anything unsupported holds the page for the owner instead of publishing it.
Not statedNot stated as an equivalent rule on the pages we read.
Not statedNot stated as an equivalent rule on the pages we read.
Publishes and ties the live URL back to the originating gap
YesClosing a gap records the live page's own address against that same gap the moment it publishes.
Not statedNot stated on the pages we read.
Not statedPeec's own auto-publish use case publishes through a connected agent, but nothing on their pages ties the resulting page back to the gap as a native record.
Re-runs the originating questions to test whether that gap closed
YesOn the questions you're measuring: closing a gap adds its topic to your AI-visibility watchlist, and your plan's cycle re-asks it and reports the change either way.
Not statedTracked prompts refresh on their own schedule, but nothing on the pages we read ties one re-check back to one content fix.
PartlyIts own MCP use cases can measure whether a campaign changed how AI describes your brand, but an equivalent loop tied to one specific fix is not clearly stated.
Confidence ranges & sample sizes
YesEvery rate carries a 95% confidence range and its sample size; repeat sampling reports stability separately.
Not statedNot stated on the pages we read - though Semrush's own help centre agrees AI responses are personalised, saying "no platform can provide exact numbers on visibility": a caveat we'd echo.
Not statedEach metric is defined precisely on their methodology page, but without a confidence interval or sample size.

This reflects Semrush's and Peec AI's own public pages as of September 2026 — not their private roadmaps, and not the older self-serve tiers some third-party review sites still describe. If we've mischaracterised anything here, tell us and we'll fix it.

Why The Ranking Factory

Grounded in your material, not what already ranks

What a page says about the business comes only from its own pages, videos and the owner's confirmed words - and a rewrite that claims anything they do not support is held for the owner instead of going live. That's a different starting point from drafting to the structural pattern of sources AI already trusts - a sensible way to earn citations quickly, and the one Peec's own published example uses. Ours starts from what the business itself can prove, and won't invent a claim to fill the gap.

A canonical page on your own site

One address stating what the business is, rewritten whenever the entity changes, refused under 150 readable words. Not something either of the two we compared describes on its own pages.

Every rate carries its sample size

A 95% confidence range and the sample size behind every rate, Google AI Overviews measured as their own surface, and nothing unmeasured shown as a zero. Semrush's own help centre agrees no platform can give exact numbers on visibility; neither of the two we compare states a confidence interval or sample size on the pages we read.

Read by default, write when you say so

Eleven read tools over MCP on every plan, Starter included; a separate write scope you opt into yourself, with a per-project boundary, a rate limit and an audit trail of every attempt — done, refused or failed.

Starter is $49 a month, self-serve, no sales call — see exactly what that includes in the entry price row above.

Good tracking tells you the score. This closes it.

The Ranking Factory measures whether AI names and cites your business, same as the tools above — then writes the missing evidence only from material that's actually yours, publishes it to your own site, ties it back to the gap it closed, and re-asks the same question later to check whether it worked.

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