SEO and content optimization platforms
Asked as “SEO and content optimization platform”, and as “SEO content optimization tool”, on behalf of a mid-market B2B software company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
21%
Contested · Surfer SEO 17%
21Semrush17Surfer SEO14Clearscope48others
21% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Semrush (22%) replaces Surfer SEO (25% then, 18% now), 4 points clear, inside the 12-point floor.Semrush leads at 22%, replacing Surfer SEO, which led at 25% and stands at 18% now: 4 points clear, inside the floor, so the swap reads as unsettled.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01
Semrush21%21%58accepted challenger▲+2Since September 2026: 20% → 22%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.20% → 22%
Semrush21%21%58accepted challenger▲+2Since September 2026: 20% → 22%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.20% → 22%02
Surfer SEO17%17%58accepted challenger▼−8Since September 2026: 25% → 18%, −8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.25% → 18%
Surfer SEO17%17%58accepted challenger▼−8Since September 2026: 25% → 18%, −8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.25% → 18%03
Clearscope14%17%48accepted challenger▲+6Since September 2026: 6% → 12%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 12%
Clearscope14%17%48accepted challenger▲+6Since September 2026: 6% → 12%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 12%04
SE Ranking10%4%24accepted challenger▲+6Since September 2026: 6% → 12%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 12%
SE Ranking10%4%24accepted challenger▲+6Since September 2026: 6% → 12%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 12%05
NeuronWriter7%0%10accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 4%
NeuronWriter7%0%10accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 4%06
Ubersuggest7%30%10criticized challenger▼−4Since September 2026: 12% → 8%, −4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.12% → 8%
Ubersuggest7%30%10criticized challenger▼−4Since September 2026: 12% → 8%, −4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.12% → 8%07
Ahrefs3%17%42accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 4%
Ahrefs3%17%42accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 4%08
Frase3%12%32accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 2%
Frase3%12%32accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 2%09
MarketMuse3%7%29accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 4%
MarketMuse3%7%29accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 4%10
Conductor3%7%15accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 4%
Conductor3%7%15accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 4%Show the two products at 0%, ordered by negative rate
12
Moz0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Moz0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%11
Google Search Console Lab in the set0%6%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Google Search Console Lab in the set0%6%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 12 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google Search Console is made by Google, whose model Gemini 3.1 Pro is in the set. On the four share prompts that model made it the first choice zero times of 4; the other five models zero times of 20. Lab treatment is defined on the method page; the row is marked, not excluded.
All twenty-one head-to-head pages: the top seven products, each against each
Semrush vs AhrefsSemrush vs FraseSemrush vs MarketMuseClearscope vs Surfer SEOClearscope vs ConductorClearscope vs AhrefsClearscope vs FraseClearscope vs MarketMuseSurfer SEO vs ConductorSurfer SEO vs AhrefsSurfer SEO vs FraseSurfer SEO vs MarketMuseConductor vs AhrefsConductor vs FraseConductor vs MarketMuseAhrefs vs FraseAhrefs vs MarketMuseFrase vs MarketMuse
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Semrush21%
Semrush21%02Surfer SEO17%
Surfer SEO17%03Clearscope14%
Clearscope14%04SE Ranking10%
SE Ranking10%05NeuronWriter7%
NeuronWriter7%06Ubersuggest7%
Ubersuggest7%07Ahrefs3%
Ahrefs3%08Frase3%
Frase3%09MarketMuse3%
MarketMuse3%10Conductor3%
Conductor3%11Google Search Console0%
Google Search Console0%12Moz0%
Moz0%What they warned about
A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Semrush21%
12 of 58 labels negative · 9 of 6 models
“you cannot afford to waste money on bloated enterprise platforms like Semrush, Ahrefs, or Clearscope, which easily run $100 to over $150 per month” Gemini 3.5 Flash, budget prompt
Surfer SEO17%
10 of 58 labels negative · 8 of 6 models · 1 hard negative
“**Surfer SEO** if you publish at volume (credit economics will hurt you)” Kimi K2, negative prompt
Clearscope17%
8 of 48 labels negative · 7 of 6 models
“tools such as **Surfer, Clearscope, or similar editors** | Their term suggestions and scores can help with coverage, but they're recommendations—not proof” GPT-6 Luna, negative prompt
Ahrefs17%
7 of 42 labels negative · 5 of 6 models
“Ahrefs now offers AI content surfaces... they raise quality, originality, and brand-voice risks if teams over-rely on them.” GPT-5.4 mini, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the six in this edition.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 6 models: citations where the model returns them, or the search results it consulted. 1071 links across 357 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
vendor site · HubSpot38 answers · 63 citations · 11 models
29 answers · 58 citations · 11 models
vendor site · Zapier26 answers · 27 citations · 12 models
21 answers · 30 citations · 9 models
vendor site · Rankability18 answers · 21 citations · 9 models
vendor site · Frase17 answers · 27 citations · 12 models
vendor site · AirOps16 answers · 16 citations · 9 models
vendor site · Semrush15 answers · 18 citations · 11 models
vendor site · Surfer SEO14 answers · 20 citations · 9 models
14 answers · 17 citations · 9 models
13 answers · 13 citations · 7 models
12 answers · 15 citations · 9 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
15 answers · 9 models
15 answers · 9 models
15 answers · 9 models
14 answers · 9 models
14 answers · 7 models
14 answers · 7 models
12 answers · 7 models
12 answers · 8 models
11 answers · 5 models
11 answers · 8 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best seo and content optimization platform”, “seo and content optimization platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Semrush semrush.com | 21% | 378 | 90,500 | 2,055 | 2,885,637 | $1,727 | 103 | |
| Surfer SEO surferseo.com | 17% | 147 | 5,400 | 146 | 99,288 | 22 | 1 | |
| Clearscope clearscope.io | 14% | 120 | 880 | 16 | 5,737 | 0 | ||
| SE Ranking seranking.com | 10% | 97 | 8,100 | 207 | 309,691 | $2,632 | 50 | |
| NeuronWriter neuronwriter.com | 7% | 31 | 720 | 7 | 363 | 0 | ||
| Ubersuggest neilpatel.com | 7% | 49 | 14,800 | 222 | 205,950 | 0 | ||
| Ahrefs ahrefs.com | 3% | 181 | 49,500 | 1,338 | 1,260,839 | $441 | 30 | |
| Frase frase.io | 3% | 91 | 6,600 | 100,460 | 8,882 | 7 | ||
| MarketMuse marketmuse.com | 3% | 75 | 880 | 16 | 98,619 | |||
| Conductor conductor.com | 3% | 117 | 49,500 | 26,956 | 45,843 | 30 | 8 |
Google's top ten for the two searches hold 16 sites; 4 of them are among the sites the models cited here (blog.hubspot.com, rankability.com, surferseo.com, zapier.com). The first result for “best seo and content optimization platform” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best SEO and content optimization platform for a mid-market B2B company?”Paraphrase“Which SEO content optimization tool would you recommend to a mid-sized B2B company?”Comparative“What are the top SEO and content optimization platforms and how do they differ?”Budget-constrained“What is the best SEO and content optimization platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an SEO and content optimization platform. What should we look at?”Negative“Which SEO and content optimization platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
Noise floor in this category
Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.
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Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Yoast read as Yoast SEO
Unresolved, counted raw
Byword
GPTZero
Originality.ai
Outrank
PageSpeed Insights
Ranklytics
SEO Tools Agency
SEOToolAdda (Group Buy Tools)
SEObolt
SEObot
SearchAtlas
Small SEO Tools
Turnitin AI Detector
Winston AI
WooRank
rseotools.com
Discontinued, still offered
No shut-down product was recommended here.